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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Public Health</journal-id>
<journal-title-group>
<journal-title>Frontiers in Public Health</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Public Health</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">2296-2565</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fpubh.2025.1644780</article-id><article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading"><subject>Original Research</subject></subj-group>
</article-categories>
<title-group>
<article-title>Role of visual and non-visual opsins in blue light&#x2013;induced neurodegeneration in <italic>Drosophila melanogaster</italic></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Piacenti-Silva</surname>
<given-names>Marina</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>de Mattos Alves</surname>
<given-names>Samuel</given-names>
</name>
<xref ref-type="aff" rid="aff2"><sup>2</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zaparoli</surname>
<given-names>Hulder Henrique</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
<xref ref-type="corresp" rid="c001"><sup>&#x002A;</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>de Oliveira</surname>
<given-names>Marcela</given-names>
</name>
<xref ref-type="aff" rid="aff1"><sup>1</sup></xref>
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<contrib contrib-type="author">
<name>
<surname>Morimoto</surname>
<given-names>Juliano</given-names>
</name>
<xref ref-type="aff" rid="aff3"><sup>3</sup></xref>
<xref ref-type="aff" rid="aff4"><sup>4</sup></xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>Zilli Vieira</surname>
<given-names>Carolina L.</given-names>
</name>
<xref ref-type="aff" rid="aff5"><sup>5</sup></xref>
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<aff id="aff1"><label>1</label><institution>Department of Physics and Meteorology, School of Sciences, S&#x00E3;o Paulo State University&#x2013;UNESP</institution>, <city>Bauru, S&#x00E3;o Paulo</city>, <country country="br">Brazil</country></aff>
<aff id="aff2"><label>2</label><institution>Institute of Biosciences of Botucatu, S&#x00E3;o Paulo State University&#x2013;UNESP</institution>, <city>Botucatu, S&#x00E3;o Paulo</city>, <country country="br">Brazil</country></aff>
<aff id="aff3"><label>3</label><institution>Institute of Mathematics, University of Aberdeen, King&#x2019;s College</institution>, <city>Aberdeen</city>, <country country="gb">United Kingdom</country></aff>
<aff id="aff4"><label>4</label><institution>Graduate Program in Ecology and Conservation (PPGECO), Universidade Federal do Paran&#x00E1;</institution>, <city>Curitiba</city>, <country country="br">Brazil</country></aff>
<aff id="aff5"><label>5</label><institution>Department of Environmental Health, Harvard T.H. Chan School of Public Health</institution>, <city>Boston, MA</city>, <country country="us">United States</country></aff>
<author-notes><corresp id="c001"><label>&#x002A;</label>Correspondence: Marina Piacenti-Silva, <email xlink:href="mailto:marina.piacenti@unesp.br">marina.piacenti@unesp.br</email>; Hulder Henrique Zaparoli, <email xlink:href="mailto:hulder.zaparoli@unesp.br">hulder.zaparoli@unesp.br</email>; Carolina L. Zilli Vieira, <email xlink:href="mailto:cazilli@hsph.harvard.edu">cazilli@hsph.harvard.edu</email></corresp></author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2025-12-01">
<day>01</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2025</year>
</pub-date>
<volume>13</volume>
<elocation-id>1644780</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>07</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#x00A9; 2025 Piacenti-Silva, de Mattos Alves, Zaparoli, de Oliveira, Morimoto and Zilli Vieira.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Piacenti-Silva, de Mattos Alves, Zaparoli, de Oliveira, Morimoto and Zilli Vieira</copyright-holder>
<license><ali:license_ref start_date="2025-12-01">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<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/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. 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.</license-p>
</license>
</permissions>
<abstract>
<sec>
<title>Introduction</title>
<p>Light plays a key role in regulating circadian rhythms and downstream physiological and behavioural functions. However, excessive exposure to artificial blue light (450&#x2013;500 nm) can disrupt sleep, metabolism and neural integrity. Visual opsins mediate light-dependent signalling, but organisms also express non-visual opsins whose roles in blue-light-induced neural stress are not well understood.</p>
</sec>
<sec>
<title>Methods</title>
<p>We used Drosophila melanogaster knockout lines lacking either visual rhodopsin 1 (Rh1<sup>1</sup>) or non-visual rhodopsin 7 (Rh7<sup>1</sup>), alongside wild-type (w<sup>1118</sup>) controls. Flies were continuously exposed to 488 nm blue light (1,320 lux; 1,120&#x202F;&#x03BC;W&#x00B7;cm<sup>&#x2212;2</sup>) from egg deposition until they were 20 days old. DNA damage (&#x03B3;-H2Av immunostaining) and vacuole formation were quantified in brain regions associated with sensory processing and neurotransmission.</p>
</sec>
<sec>
<title>Results</title>
<p>Rh1<sup>1</sup> flies exhibited the highest levels of DNA damage and vacuolisation compared to the w<sup>1118</sup> and Rh7<sup>1</sup> lines. These effects were most pronounced in neuropils linked to sensory integration and synaptic activity.</p>
</sec>
<sec>
<title>Discussion</title>
<p>Our findings demonstrate that the visual opsin Rh1 plays a predominant role in blue-light-induced DNA damage and neurodegeneration in the Drosophila central nervous system. This suggests that it is visual, rather than non-visual, opsins that mediate the neurotoxic effects of exposure to artificial light.</p>
</sec>
</abstract>
<kwd-group>
<kwd>blue light</kwd>
<kwd>environmental stress</kwd>
<kwd>rhodopsins</kwd>
<kwd>neurodegeneration</kwd>
<kwd>mental health</kwd>
<kwd>model systems</kwd>
</kwd-group><funding-group><funding-statement>The author(s) declare that financial support was received for the research and/or publication of this article. The authors would like to express their thanks to FAPESP (Grant 2022/02636-9) and the Environmental Health Trust for their financial support.</funding-statement></funding-group>
<counts>
<fig-count count="9"/>
<table-count count="0"/>
<equation-count count="0"/>
<ref-count count="61"/>
<page-count count="13"/>
<word-count count="8053"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Radiation and Health</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="sec1">
<label>1</label>
<title>Introduction</title>
<p>Light is an environmental stimulus of primary importance to all forms of life, playing a fundamental role in the regulation of circadian rhythms and influencing a wide range of physiological and behavioral functions in living organisms (<xref ref-type="bibr" rid="ref1">1</xref>, <xref ref-type="bibr" rid="ref2">2</xref>). However, with the increasing use of electronic devices, human exposure to light has increased significantly. For many people, this means that overall exposure to light from electronic devices can now total 8&#x2013;10&#x202F;h a day versus 3&#x2013;5&#x202F;h in earlier decades (<xref ref-type="bibr" rid="ref3">3</xref>). The evening period is particularly critical because many people now extend their device use well into the hours before sleep, which significantly increases exposure to blue-enriched light (<xref ref-type="bibr" rid="ref4 ref5 ref6 ref7 ref8 ref9">4&#x2013;9</xref>).</p>
<p>Blue light is a high energy electromagnetic radiation in the wavelength range of 380&#x2013;500&#x202F;nm, known to be able to penetrate ocular tissues and reach the retina and deeper brain regions (<xref ref-type="bibr" rid="ref10">10</xref>). Modern electronic devices such as smartphones, tablets, and laptops emit blue light with spectral peaks between 445 and 455 nm. Peak irradiance at 450&#x202F;nm reaches up to 0.00526&#x202F;mW/cm<sup>2</sup> on laptops and 0.00102&#x202F;mW/cm<sup>2</sup> on smartphones under typical usage conditions&#x2014;levels that, while below sunlight intensity, raise concerns about cumulative exposure and its long-term effects on ocular and neural health (<xref ref-type="bibr" rid="ref11">11</xref>). In humans, prolonged exposure to blue light has been associated with retinal phototoxicity, circadian rhythm disruption, and neurodegeneration (<xref ref-type="bibr" rid="ref12 ref13 ref14">12&#x2013;14</xref>). Evidence from experimental and clinical studies suggests that even moderate levels of artificial light exposure (100&#x2013;1,000 lux), especially in the evening, can suppress melatonin production, disrupt sleep and other biological processes controlled by the body&#x2019;s circadian clock, and cause adverse effects, including mental disorders such as depression, anxiety, bipolar disorder and self-mutilation (<xref ref-type="bibr" rid="ref15">15</xref>), and metabolic disorders such as cardiovascular disease and cancer (<xref ref-type="bibr" rid="ref4 ref5 ref6 ref7 ref8 ref9">4&#x2013;9</xref>, <xref ref-type="bibr" rid="ref16">16</xref>).</p>
<p>Although direct evidence in humans remains limited, these findings in animal models underscore the need to better understand the biological consequences of chronic blue light exposure. Prolonged exposure to blue light can induce early puberty in male rats, suppress spermatogenesis, and impair testicular integrity (<xref ref-type="bibr" rid="ref17">17</xref>), highlighting the broader physiological effects of light exposure. Studies in both cell culture and animal models have also shown that blue light can accelerate aging, significantly reduce lifespan, and promote molecular stress responses in neural tissues, including oxidative stress and DNA damage (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref14">14</xref>, <xref ref-type="bibr" rid="ref18">18</xref>).</p>
<p>The main photoreceptor shared between invertebrates and mammals are opsins, photosensitive membrane proteins associated with a chromophore, that change conformation from a resting state to a signaling state during the phototransduction process after the absorption of a photon (<xref ref-type="bibr" rid="ref19">19</xref>, <xref ref-type="bibr" rid="ref20">20</xref>). In humans, rod photoreceptors contain rhodopsin (OPN2), which is responsible for twilight vision, while cone photoreceptors contain opsins (OPN1), which are responsible for daytime vision and can be divided into four subgroups according to their absorption spectra: long (LW or red), short 1 (SW1 or UV/violet), short 2 (SW2 or blue) and medium (MW) (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref21">21</xref>). In addition to the visual opsins, animals also express non-visual opsins such as melanopsins (Opn4); encephalopsins or panopsins (Opn3); neuropsins (Opn5) and the retinal photoisomerase G protein-coupled receptor (RGR) (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref22 ref23 ref24">22&#x2013;24</xref>). These non-visual opsins are present in several structures besides the retina, including the brain, testicles, liver, skin, spinal cord and lungs, suggesting an extra-retinal photomodulation (<xref ref-type="bibr" rid="ref22">22</xref>). <italic>Drosophila</italic> has seven opsin genes (Rh1, Rh2, Rh3, Rh4, Rh5, Rh6 and Rh7) (<xref ref-type="bibr" rid="ref20">20</xref>, <xref ref-type="bibr" rid="ref25">25</xref>), which encode their corresponding proteins (rhodopsins). Rh1&#x2019;s predominant expression in the outer photoreceptors occurs directly when exposed to environmental light (<xref ref-type="bibr" rid="ref26">26</xref>). In contrast, Rh7 is expressed in the central brain, particularly in circadian pacemaker neurons, and has been proposed to mediate non-visual responses to light (<xref ref-type="bibr" rid="ref27">27</xref>). However, its role in light-induced neurodegeneration remains poorly understood.</p>
<p>Studies in animals with ablated eyes or retinal degeneration show that physiological responses to light&#x2014;such as pupillary reflexes, adjustments in circadian rhythms, early mortality and brain neurodegeneration (remain when the light source is removed), raising questions about the mechanisms of light perception in the organism (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref22">22</xref>, <xref ref-type="bibr" rid="ref28 ref29 ref30">28&#x2013;30</xref>).</p>
<p>Advancements in the field have revealed the involvement of non-visual opsins in a variety of physiological functions, including the regulation of circadian rhythms (<xref ref-type="bibr" rid="ref31">31</xref>), hormonal secretion (<xref ref-type="bibr" rid="ref32">32</xref>), thermoregulation (<xref ref-type="bibr" rid="ref33">33</xref>), and neuronal activity (<xref ref-type="bibr" rid="ref34">34</xref>). For instance, Opn4 plays a central role in circadian entrainment through light detection in retinal ganglion cells; however, its expression in other tissues suggests the presence of additional functions (<xref ref-type="bibr" rid="ref35">35</xref>). A similar observation has been made with Opn3 and Opn5, which have been implicated in metabolic regulation and neuroendocrine signaling (<xref ref-type="bibr" rid="ref33">33</xref>, <xref ref-type="bibr" rid="ref36">36</xref>). The precise phototransduction mechanisms of these opsins in extra-retinal tissues remain to be elucidated; however, experimental models have demonstrated that these proteins can respond to light stimuli, even in the absence of ocular input, thereby supporting the hypothesis of peripheral light sensing (<xref ref-type="bibr" rid="ref37">37</xref>). However, the mechanisms through which these non-visual opsins, particularly in invertebrate models, contribute to the physiological effects of light exposure, especially in the context of neurodegeneration, remain to be elucidated.</p>
<p>Animal models such as the <italic>Drosophila melanogaster</italic> fly have been used to investigate the role of different opsins due to functional homology with human photoreceptive cells (<xref ref-type="bibr" rid="ref9">9</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). of which we highlight two main ones: rhodopsin 1 (Rh1), encoded by the ninaE gene, present in the outer photoreceptor cells of the eye and orthologous to human OPN4 (<xref ref-type="bibr" rid="ref39">39</xref>), and rhodopsin 7 (Rh7), present in the central brain in a subset of circadian pacemaker neurons (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref39">39</xref>). Previous studies have shown that excessive activation of Rh1 by high-intensity or prolonged light exposure can lead to retinal degeneration in <italic>Drosophila</italic>, characterized by photoreceptor cell death and structural damage (<xref ref-type="bibr" rid="ref40">40</xref>).</p>
<p>In this investigation, Rh1 and Rh7 were selected as the subjects of study due to their status as the most well-characterized visual and non-visual opsins, respectively, in the <italic>Drosophila</italic> model. Rh1 is the most abundantly expressed rhodopsin in the retina and is essential for phototransduction in the outer photoreceptor cells. Conversely, Rh7 is uniquely expressed in the brain, particularly in neurons involved in circadian regulation, and is considered the only known non-visual opsin in <italic>Drosophila</italic>. This makes Rh7 a compelling candidate for evaluating extra-retinal light effects on the nervous system.</p>
<p>In this study, the primary objective was to evaluate the role of visual and non-visual opsins in the central nervous system of <italic>Drosophila melanogaster</italic> following exposure to blue light. To this end, we employed genetically modified flies lacking Rh1 and Rh7, and we conducted a comprehensive analysis of DNA damage and vacuole formation. These phenomena are well-established indicators of neurodegeneration, and our study sought to elucidate the underlying mechanisms through which these light-sensitive proteins influence the brain&#x2019;s response to electromagnetic radiation. The study yielded direct evidence for the differential contribution of visual (Rh1) and non-visual (Rh7) opsins to the negative effects of blue light exposure on the nervous system, underscoring their potential as targets in neuroprotection strategies.</p>
</sec>
<sec sec-type="methods" id="sec2">
<label>2</label>
<title>Methods</title>
<p>The experimental workflow in <xref ref-type="fig" rid="fig1">Figure 1</xref> illustrates the key steps of this study, from fly stock maintenance and experimental group assignment to outcome measurements in <italic>Drosophila melanogaster</italic>, including DNA damage and vacuole quantification analyses (<xref ref-type="fig" rid="fig1">Figure 1</xref>).</p>
<fig position="float" id="fig1">
<label>Figure 1</label>
<caption>
<p>Experimental workflow of blue-light exposure and analysis in <italic>Drosophila melanogaster</italic>. Flies [w<sup>1118</sup>, Rh1<sup>1</sup> (ninaE<sup>I17</sup>), and Rh7<sup>1</sup>] were reared at 25&#x202F;&#x00B0;C and 70% relative humidity under either constant darkness or continuous blue light exposure (488&#x202F;nm, 1,320 lux, 1,120&#x202F;&#x03BC;W&#x202F;cm<sup>&#x2212;2</sup>). Development from egg to adult occurred entirely under the assigned condition. Adult flies were analyzed at 20&#x202F;days post-eclosion. Experimental outcomes included: (i) immunofluorescence staining to detect DNA damage (&#x03B3;-H2Av, red), nuclei (Hoechst, blue), and actin fibers (Phalloidin, green); and (ii) volumetric quantification of brain vacuoles using 3D reconstruction software. Created with BioRender <ext-link xlink:href="https://biorender.com/b4wjkjn" ext-link-type="uri">https://biorender.com/b4wjkjn</ext-link>.</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g001.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram illustrating the experimental workflow for Drosophila melanogaster exposed to continuous blue light (488 nm, 1320 lux, 1120 &#x00B5;W cm&#x00B2;) or constant darkness at 25&#x00B0;C and 70 % humidity. The left panel shows the developmental stages (egg, larva, pupa, and adult)reared entirely under each condition. The middle panel compares three fly strains: wild-type w&#x00B9;&#x00B9;&#x00B9;&#x2078;, visual opsin mutant Rh1&#x00B9; (ninaE&#x1D35;&#x00B9;&#x2077;), and non-visual opsin mutant Rh7&#x00B9;. The right panel shows the experimental analyses: immunofluorescence staining for &#x03B3;-H2Av (DNA damage, red), Hoechst (nuclei, blue), and Phalloidin (actin, green), and 3D qu antification of brain vacuoles using reconstruction software. Figure created with BioRender.</alt-text>
</graphic>
</fig>
<sec id="sec3">
<label>2.1</label>
<title>Fly stocks and experimental groups</title>
<p>The strains used in this study were: Rh1<sup>1</sup>(ninaE<sup>I17</sup>)&#x2014;BDSC#5701; FlyBase ID:FBal0013022; Rh7<sup>1</sup>&#x2014;BDSC#BL76022; FlyBase ID: FBal0323541; and w<sup>1118</sup>. Strains Rh1<sup>1</sup> (ninaE<sup>I17</sup>) and Rh7<sup>1</sup>, represent flies in which the respective genes (ninaE and Rh7) were ablated with a loss-of-function allele (<xref ref-type="bibr" rid="ref39">39</xref>). Stock flies were maintained in bottles and vials containing cornmeal agar in an incubator (Tritech Research Inc.&#x2014;standard DigiTherm) at 25&#x202F;&#x00B0;C and 70% relative humidity under a 12:12&#x202F;h light&#x2013;dark cycle with ambient broad-spectrum white light (400&#x2013;700&#x202F;nm; 1,216 lux). The lights were turned on at 9:00&#x202F;a.m. and turned off at 9:00&#x202F;p.m. Approximately 10 pairs of adult flies were placed per vial (cornmeal agar) for oviposition and kept in an environmental chamber. After 72&#x202F;h, parental flies were removed to avoid overlapping generations. From egg deposition (Day 0) onward, vials were assigned to blue-light or dark groups and maintained at 25&#x202F;&#x00B0;C and 70% relative humidity. The blue-light group was exposed continuously (24&#x202F;h/day) at 488&#x202F;nm (1,320 lux; 1.120&#x202F;&#x03BC;W&#x00B7;cm<sup>&#x2212;2</sup>); thus, development from egg to adult occurred entirely under the assigned condition. Upon eclosion, adults were allowed to mate for 48&#x202F;h and were then separated by sex. Blue-light exposure continued uninterrupted for 20&#x202F;days. This timeframe is consistent with previous <italic>Drosophila</italic> studies of chronic blue-light exposure that observed neurodegenerative changes, lifespan reduction and increased neuronal damage over similarly extended periods (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref41">41</xref>, <xref ref-type="bibr" rid="ref42">42</xref>). Blue light exposure was maintained without interruption from day 0 to day 20, resulting in a cumulative dose of approximately 1.94&#x202F;&#x00D7;&#x202F;10<sup>3</sup>&#x202F;J/cm<sup>2</sup> at the sample plane.</p>
<p>Control vials were kept in constant darkness (24&#x202F;h D/D) under otherwise identical conditions.</p>
<p>We use constant darkness as the control condition to exclude the confounding effects of light exposure and isolate the specific effects of blue light.</p>
</sec>
<sec id="sec4">
<label>2.2</label>
<title>Irradiation system</title>
<p>The blue light irradiation system consisted of eight light-emitting diodes (LED Luxeon Rebels), which were powered by an external source. Intensity, lux, and spectral profile measurements were obtained using a power meter (Thorlabs PM100D), a light meter (Extech LT300), and a spectrometer (Thorlabs CCS200), respectively. The exposure parameters for the blue light (<italic>&#x03BB;</italic> =&#x202F;488&#x202F;nm) were 1,320 lux and a power of 1,120&#x202F;&#x03BC;W/cm<sup>2</sup>. These parameters were chosen based on previous studies (<xref ref-type="bibr" rid="ref18">18</xref>, <xref ref-type="bibr" rid="ref41 ref42 ref43 ref44 ref45">41&#x2013;45</xref>).</p>
</sec>
<sec id="sec5">
<label>2.3</label>
<title>Immunofluorescence</title>
<p>To assess neuromorphological changes, we examined the <italic>Drosophila</italic> central brain (<xref ref-type="bibr" rid="ref46 ref47 ref48 ref49">46&#x2013;49</xref>). After 20&#x202F;days of light exposure, flies were anaesthetized and fixed in 4% formaldehyde for 3&#x202F;h at room temperature and washed three times for 20&#x202F;min with PBS. Brains were dissected and incubated overnight at 4&#x202F;&#x00B0;C under rotation in PBS/0.5% Triton X-100&#x202F;+&#x202F;2% BSA. Subsequently, primary antibodies were incubated at 4&#x202F;&#x00B0;C with rotation. After ~24&#x202F;h, brains were washed three times for 20&#x202F;min with PBS/0.5% Triton X-100&#x202F;+&#x202F;2% BSA and incubated with secondary antibodies for 2&#x202F;h at room temperature with rotation. Tissues were then washed three times for 20&#x202F;min with PBS and mounted on slides using Vectashield (<xref ref-type="bibr" rid="ref50">50</xref>). The primary antibody used to detect DNA damage was mouse anti-&#x0263;H2AV (1:40 DSHB). This antibody binds to the phosphorylated variant of histone H2A, i.e., DNA double-strand breaks. The secondary antibody anti-mouse Alexa 647 (1:1000) was used to detect the primary antibody. Hoechst (497&#x202F;nm&#x2014;blue) was used for staining nuclei and Phalloidin (546&#x202F;nm&#x2014;green) for actin fibers. Images were obtained in 3&#x202F;&#x03BC;m sections using a Leica SP8 confocal microscope with a 63&#x00D7; oil immersion objective. Approximately 100 sections were taken for each brain, and laser, filter, and gain settings were kept constant for all experiments. On average, 3 biological replicates (<italic>n</italic>&#x202F;=&#x202F;3 animals per genotype &#x00D7; condition) were analyzed.</p>
</sec>
<sec id="sec6">
<label>2.4</label>
<title>DNA damage quantification</title>
<p>Quantification of DNA damage in the samples was performed by counting &#x03B3;-H2Av positive cells in the images. This was performed using Fiji Image J and 3D Slicer software. First, the images for &#x03B3;-H2Av positive cells were merged with the images of cell nuclei using the merge channels tool in Fiji. Then, in this new image, the &#x03B3;-H2Av positive cells that overlapped with the nuclear labelling were detected. Segmentation of the coincident cells was performed using the watershed segmentation method. This method is widely used in the analysis of cellular images to segment specific regions, such as nuclei, cells or organelles in an image. In general, the method is based on topography concepts and uses pixel intensity as a three-dimensional representation to partition the image into distinct regions corresponding to cellular objects and thus perform their segmentation (<xref ref-type="bibr" rid="ref51">51</xref>, <xref ref-type="bibr" rid="ref52">52</xref>). Finally, the number of segmented cells was counted and cell damage quantified.</p>
</sec>
<sec id="sec7">
<label>2.5</label>
<title>Vacuole quantification</title>
<p>We quantified vacuoles using an adapted version of the protocol for analyzing 3D neurodegenerative vacuoles in <italic>Drosophila</italic> (<xref ref-type="bibr" rid="ref53">53</xref>). Images Z-stacks were first converted into RGB colour using Fiji Image J. The three-dimensional geometric segmentation and analysis was performed using the free software Webknossos. Segmentation was performed for selected layers of the Z-stacks and volume interpolation was performed to record the vacuole regions within the segmentation layers. Unstained areas were identified as vacuoles. Vacuoles located on the retina and any tissue damage resulting from sample processing were not considered. Quantification was performed blinded to genotype and condition. Vacuoles in the central brain were registered, and their qualitative and quantitative information was exported as 3D meshes in CSV files. The total number of sample vacuoles and the percentage of total brain volume occupied by vacuoles were determined using the Python 3.9 (Numpy-STL package).</p>
</sec>
<sec id="sec8">
<label>2.6</label>
<title>Statistical analysis</title>
<p>Statistical analyses were performed using GraphPad Prism 8. Data are presented as mean &#x00B1; SD. Group comparisons were carried out using a two-way ANOVA followed by a Tukey&#x2019;s multiple comparisons test for &#x03B3;-H2Av quantification and a Mann&#x2013;Whitney or Kruskal&#x2013;Wallis test followed by a Dunn&#x2019;s <italic>post hoc</italic> test for vacuole quantification. Statistical significance was set at <italic>p</italic>&#x202F;&#x003C;&#x202F;0.05.</p>
</sec>
</sec>
<sec sec-type="results" id="sec9">
<label>3</label>
<title>Results</title>
<sec id="sec10">
<label>3.1</label>
<title>Blue light exposure leads to increased DNA damage</title>
<p>Representative confocal sections of adult <italic>Drosophila</italic> brains for the three genotypes are shown in <xref ref-type="fig" rid="fig2">Figures 2</xref>&#x2013;<xref ref-type="fig" rid="fig4">4</xref>. Nuclei were labeled with Hoechst (blue), &#x03B3;-H2Av&#x2013;positive cells (indicating DNA damage) are shown in red, and actin fibers are stained with Phalloidin (green). <xref ref-type="fig" rid="fig5">Figure 5</xref> illustrates an amplified region highlighting the merged staining.</p>
<fig position="float" id="fig2">
<label>Figure 2</label>
<caption>
<p>Representative confocal images of adult <italic>Drosophila</italic> Rh1<sup>1</sup> (ninaE<sup>17</sup>) brains exposed to blue light or maintained in darkness. Brains were immunostained for DNA damage (&#x03B3;-H2Av, red), nuclei (Hoechst, blue), and actin filaments (Phalloidin, green). <bold>(A&#x2013;F)</bold> Brains exposed to continuous blue light (24&#x202F;h/day for 20&#x202F;days)&#x2014;<bold>(A,D)</bold> &#x03B3;-H2Av channel, <bold>(B,E)</bold> Hoechst channel, <bold>(C,F)</bold> Merged. <bold>(G&#x2013;L)</bold> Brains maintained in constant darkness (24&#x202F;h D/D): <bold>(G,J)</bold> &#x03B3;-H2Av channel, <bold>(H,K)</bold> Hoechst channel, <bold>(I,L)</bold> Merged. Merged panels <bold>(C,F,I,L)</bold> show colocalization of all three markers, allowing visualization of brain structure and DNA damage. Brains exposed to blue light display a higher number of &#x03B3;-H2Av&#x2013;positive nuclei (red), indicating increased DNA damage compared to dark controls. Scale bars: 50&#x202F;&#x03BC;m (all panels).</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g002.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Fluorescent confocal images (panels A&#x2013;L) showing the adult brains of Drosophila melanogaster Rh1&#x00B9; (ninaE&#x1D35;&#x00B9;&#x2077;) exposed to continuous blue light or maintained in constant darkness. The rows represent the light conditions: Blue (panels A&#x2013;F) and Dark (panels G&#x2013;L). The columns display &#x03B3;-H2Av staining for DNA damage (red), Hoechst nuclear staining (blue) and merged channels, including Phalloidin for actin filaments (green). The merged panels reveal the overall brain architecture and the distribution of DNA damage. Brains exposed to blue light exhibit a visibly higher number of &#x03B3;-H2Av-positive nuclei than dark controls, indicating increased DNA damage under illumination. All panels include 50 &#x00B5;m scale bars for reference.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig3">
<label>Figure 3</label>
<caption>
<p>Representative confocal sections of adult <italic>Drosophila</italic> Rh7<sup>1</sup> brains under blue-light or dark conditions. Brains were immunostained for DNA damage (&#x03B3;-H2Av, red), nuclei (Hoechst, blue), and actin filaments (Phalloidin, green). <bold>(A&#x2013;F)</bold> Brains exposed to continuous blue light (24&#x202F;h/day for 20&#x202F;days)&#x2014;<bold>(A,D)</bold> &#x03B3;-H2Av channel, <bold>(B,E)</bold> Hoechst channel, <bold>(C,F)</bold> Merged. <bold>(G&#x2013;L)</bold> Brains maintained in constant darkness (24&#x202F;h D/D): <bold>(G,J)</bold> &#x03B3;-H2Av channel, <bold>(H,K)</bold> Hoechst channel, <bold>(I,L)</bold> Merged. Merged panels <bold>(C,F,I,L)</bold> show colocalization of all three markers, allowing visualization of brain structure and DNA damage. Brains exposed to blue light display a higher number of &#x03B3;-H2Av&#x2013;positive nuclei (red), indicating increased DNA damage compared to dark controls. Scale bars: 50&#x202F;&#x03BC;m (all panels).</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g003.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Confocal fluorescence images (panels A&#x2013;L) of the adult brains of Drosophila melanogaster Rh7&#x00B9; flies, maintained under blue light or in the dark. The rows represent the light conditions: Blue (panels A&#x2013;F) and Dark (panels G&#x2013;L). The columns show &#x03B3;-H2Av immunostaining for DNA damage (red), Hoechst nuclear staining (blue) and merged channels, including phalloidin to highlight actin filaments (green). The merged panels visualise the overall brain architecture and the distribution of damage. Brains exposed to continuous blue light exhibit more &#x03B3;-H2Av-positive nuclei than those in the dark control group, reflecting increased DNA damage. All panels include 50 &#x00B5;m scale bars for reference.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig4">
<label>Figure 4</label>
<caption>
<p>Representative confocal sections of adult <italic>Drosophila</italic> w<sup>1118</sup> (wild-type) brains under blue-light or dark conditions. Brains were immunostained for DNA damage (&#x03B3;-H2Av, red), nuclei (Hoechst, blue), and actin filaments (Phalloidin, green). <bold>(A&#x2013;F)</bold> Brains exposed to continuous blue light (24&#x202F;h/day for 20&#x202F;days)&#x2014;<bold>(A,D)</bold> &#x03B3;-H2Av channel, <bold>(B,E)</bold> Hoechst channel, <bold>(C,F)</bold> Merged. <bold>(G&#x2013;L)</bold> Brains maintained in constant darkness (24&#x202F;h D/D): <bold>(G,J)</bold> &#x03B3;-H2Av channel, <bold>(H,K)</bold> Hoechst channel, <bold>(I,L)</bold> Merged. Merged panels <bold>(C,F,I,L)</bold> show colocalization of all three markers, allowing visualization of brain structure and DNA damage. Brains exposed to blue light display a higher number of &#x03B3;-H2Av&#x2013;positive nuclei (red), indicating increased DNA damage compared to dark controls. Scale bars: 50&#x202F;&#x03BC;m (all panels).</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g004.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Representative confocal fluorescence images (A&#x2013;L) of the brains of wild-type Drosophila w&#x00B9;&#x00B9;&#x00B9;&#x2078; under blue light and in the dark. Rows correspond to light conditions: Blue (A&#x2013;F) and Dark (G&#x2013;L). The columns display &#x03B3;-H2Av staining (red) for DNA damage, Hoechst staining (blue) for nuclei and merged channels including Phalloidin staining (green) for actin filaments. The merged panels show the colocalisation of all the markers and the structural integrity of the brain. Brains exposed to blue light reveal more &#x03B3;-H2Av-positive nuclei than dark controls, indicating elevated DNA damage. Each image includes a 50 &#x00B5;m scale bar.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig5">
<label>Figure 5</label>
<caption>
<p>Representative confocal images showing the region of interest used for quantification of cellular staining in adult <italic>Drosophila</italic> brains. <bold>(A)</bold> Overview of a brain section with merged channels: &#x03B3;-H2Av (red), Hoechst (blue), and Phalloidin (green); the yellow box indicates the region selected for analysis. Amplified views of the selected region&#x2014;<bold>(B)</bold> &#x03B3;-H2Av-positive cells (red, DNA damage), <bold>(C)</bold> Hoechst-stained nuclei (blue), <bold>(D)</bold> Merged image including Phalloidin (green), showing colocalization of nuclear and cytoskeletal markers with &#x03B3;-H2Av signal. Scale bars: 50&#x202F;&#x03BC;m (A), 20&#x202F;&#x03BC;m <bold>(B&#x2013;D)</bold>.</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g005.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Four-panel image illustrating the region of interest used for quantification in the brains of adult Drosophila. (A) An overview image showing the merged channels of &#x03B3;-H2Av (red, indicating DNA damage), Hoechst (blue, indicating nuclei) and Phalloidin (green, indicating actin). The yellow box outlines the area selected for analysis. (B) A magnified view of &#x03B3;-H2Av-positive cells (red). (C) Corresponding Hoechst-stained nuclei (blue). (D) A merged image showing the colocalisation of nuclear and cytoskeletal markers with the &#x03B3;-H2Av signal. Scale bars: 50 &#x00B5;m (A) and 20 &#x00B5;m (B&#x2013;D).</alt-text>
</graphic>
</fig>
<p>The bar chart in <xref ref-type="fig" rid="fig6">Figure 6</xref> shows the number of &#x03B3;-H2Av-positive cells in blue light-treated groups compared with dark-treated controls across the different genotypes. DNA damage was consistently higher under blue light in all strains, with Rh1<sup>1</sup> flies showing the greatest increase compared to both w<sup>1118</sup> and Rh7<sup>1</sup>. In contrast, under dark conditions, Rh1<sup>1</sup> and Rh7<sup>1</sup> flies exhibited similar numbers of &#x03B3;-H2Av&#x2013;positive cells, while w<sup>1118</sup> flies showed a slight reduction (<xref ref-type="fig" rid="fig2">Figures 2</xref>&#x2013;<xref ref-type="fig" rid="fig6">6</xref>).</p>
<fig position="float" id="fig6">
<label>Figure 6</label>
<caption>
<p>Proportion of &#x03B3;H2Av-positive cells in <italic>Drosophila</italic> brains under blue-light or dark conditions across genotypes (w<sup>1118</sup>, Rh1<sup>1</sup>, Rh7<sup>1</sup>). Values are expressed as mean &#x00B1; SD. Statistical significance was determined by two-way ANOVA followed by Tukey&#x2019;s multiple comparisons test (<italic>n</italic>&#x202F;=&#x202F;3 brains per group). Under blue light, Rh1<sup>1</sup> showed a significant increase in &#x03B3;-H2Av&#x2013;positive cells compared with w<sup>1118</sup> (&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001), and Rh7<sup>1</sup> also differed from w<sup>1118</sup> (&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.05). Only Rh1<sup>1</sup> showed a significant difference between blue-light and dark conditions (&#x002A;&#x002A;&#x002A;<italic>p</italic>&#x202F;&#x003C;&#x202F;0.001). ns&#x202F;=&#x202F;non-significant.</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g006.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Bar graphs showing the proportion of &#x03B3;-H2Av-positive cells in the brains of Drosophila under blue light and in the dark, across the w&#x00B9;&#x00B9;&#x00B9;&#x2078;, Rh1&#x00B9; and Rh7&#x00B9; genotypes. Taller blue bars indicate a higher proportion of &#x03B3;-H2Av-positive cells under illumination. Asterisks denote statistical significance: one (&#x002A;) p &#x003C; 0.05; three (&#x002A;&#x002A;) p &#x003C; 0.001. 'ns' indicates not significant. Only Rh1&#x00B9; shows a significant increase under blue light versus dark conditions. Values represent the mean &#x00B1; SD from three brains per group and were analysed using a two-way ANOVA and a Tukey's test.</alt-text>
</graphic>
</fig>
</sec>
<sec id="sec11">
<label>3.2</label>
<title>Brain vacuolation is associated to Rh1 visual opsin deficiency</title>
<p>Across the different genotypes, flies lacking the visual rhodopsin (Rh1<sup>1</sup>) exhibited a higher number of vacuoles in the central brain compared to the wild-type w<sup>1118</sup> and the variant deprived of non-visual rhodopsin (Rh7<sup>1</sup>). <xref ref-type="fig" rid="fig7">Figure 7</xref> shows grayscale, 3D volumetric images viewed in orthogonal cross-sections using the WebKnossos platform, which allows the identification of vacuoles in the central brain. The green bounding box and the black planes represent the slice views in three perpendicular orientations (XY, YZ, and ZX), allowing multiplane volume inspection. Quantification of all samples revealed a greater presence of vacuoles in flies exposed to blue light (<xref ref-type="fig" rid="fig7">Figures 7</xref>, <xref ref-type="fig" rid="fig8">8</xref>).</p>
<fig position="float" id="fig7">
<label>Figure 7</label>
<caption>
<p>Grayscale, volumetric (3D) reconstructions of <italic>Drosophila</italic> brains from different genotypes (w<sup>1118</sup>, Rh1<sup>1</sup>, Rh7<sup>1</sup>) that were exposed to continuous blue light for 24&#x202F;h a day for 20&#x202F;days. Orthogonal cross-sections in the XY, YZ, and ZX planes (shown in green and blue) were generated using WebKnossos to enable volumetric inspection. Colored overlays highlight vacuole regions within the central brain, representing areas of tissue loss associated with neurodegeneration. Vacuoles were absent or sparse in w<sup>1118</sup> brains, but were more frequently detected in Rh1<sup>1</sup> brains and, to a lesser extent, in Rh7<sup>1</sup> brains.</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g007.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Three grayscale volumetric reconstructions of Drosophila brains from w&#x00B9;&#x00B9;&#x00B9;&#x2078;, Rh1&#x00B9; and Rh7&#x00B9; genotypes that were exposed to continuous blue light for 20 days (24 hours a day). Orthogonal XY, YZ and ZX cross-sections (in green and blue) were generated using WebKnossos. Coloured overlays mark vacuole regions within the central brain, representing tissue loss linked to neurodegeneration. Vacuoles are minimal in w&#x00B9;&#x00B9;&#x00B9;&#x2078; brains, more prevalent in Rh1&#x00B9; brains and moderate in Rh7&#x00B9; brains. Scale bar: 0.2 mm.</alt-text>
</graphic>
</fig>
<fig position="float" id="fig8">
<label>Figure 8</label>
<caption>
<p>Quantification of brain vacuoles in <italic>Drosophila</italic> after continuous blue-light exposure (24&#x202F;h/day, 20&#x202F;days) compared with constant dark controls (24&#x202F;h D/D). <bold>(A)</bold> Number of vacuoles per brain in flies exposed to blue light versus dark controls. <bold>(B)</bold> Comparison across genotypes (Rh1<sup>1</sup>, Rh7<sup>1</sup>, and w<sup>1118</sup>) under blue-light exposure. Values are expressed as mean &#x00B1; SD (<italic>n</italic>&#x202F;=&#x202F;3 brains per group). Statistical analysis was performed using the Mann&#x2013;Whitney test for blue light versus dark (ns, <italic>p</italic>&#x202F;=&#x202F;0.59) and Kruskal&#x2013;Wallis followed by Dunn&#x2019;s multiple comparisons test across genotypes (ns, <italic>p</italic>&#x202F;=&#x202F;0.48). No significant differences were detected (ns).</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g008.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Graph showing two plots labeled A and B. Plot A includes box plots comparing the number of vacuoles per brain in flies exposed to blue light and flies kept in darkness, showing no significant difference. Plot B displays bar graphs for flies with Rh1, Rh7, and w1118 genotypes exposed to blue light, indicating no significant differences in vacuole number among genotypes. Bars are marked "ns" for not significant.</alt-text>
</graphic>
</fig>
</sec>
</sec>
<sec sec-type="discussion" id="sec12">
<label>4</label>
<title>Discussion</title>
<p>The relevance of studying neurodegeneration in <italic>Drosophila melanogaster</italic> has increased in recent years, as several studies have shown that excessive light exposure, especially at blue wavelength range (~450&#x2013;490&#x202F;nm), can induce neuron death. In this work, we investigated the effects of blue light exposure in <italic>Drosophila melanogaster</italic> flies with loss of function of visual and non-visual opsins. Our analyses show that ablation of different opsins (Rh1, a light-sensitive pigment, and Rh7, typically associated with non-visual functions) leads to distinct profiles of DNA damage (&#x03B3;-H2Av) and vacuole formation in the brain of <italic>Drosophila</italic>. These findings support the hypotheses that each opsin contributes to photosensitivity and intracellular signaling in unique ways, culminating in distinct patterns of neurodegeneration under light exposure (<xref ref-type="bibr" rid="ref25">25</xref>, <xref ref-type="bibr" rid="ref38">38</xref>). The Rh1<sup>1</sup> strains showed increased DNA damage under blue light, compared to w<sup>1118</sup> and Rh7<sup>1</sup>, supporting the notion that blocking the classical phototransduction pathway enhances DNA damage. The same pattern is observed across genotypes with respect to vacuole-associated neurodegeneration. The formation of neurodegeneration vacuoles in <italic>Drosophila</italic> indicates neuronal tissue loss and permanent brain damage (<xref ref-type="bibr" rid="ref50">50</xref>), which can be assessed through the quantification of actin and synaptic protein filaments.</p>
<p>Quantitative analysis of <xref ref-type="fig" rid="fig6">Figures 6</xref>, <xref ref-type="fig" rid="fig8">8</xref> revealed an increase in &#x03B3;-H2Av-positive cells and a modest rise in brain vacuolization in Rh1<sup>1</sup> flies compared to w<sup>1118</sup> controls. Compared to Rh7<sup>1</sup> flies, the Rh1<sup>1</sup> strain also showed a trend toward higher numbers of &#x03B3;-H2Av-positive cells and slightly more vacuolization. These results suggest that the absence of the visual opsin Rh1<sup>1</sup> may increase susceptibility to blue light-induced neurodegeneration, supporting a potential role of Rh1<sup>1</sup> in mediating light-induced neurodegeneration in the central nervous system. Although the Rh7-ablated flies showed less damage under blue light than the Rh1-ablated ones, it was still greater than the w<sup>1118</sup> control.</p>
<p>Based on <xref ref-type="fig" rid="fig7">Figure 7</xref>, we identified and listed the <italic>Drosophila</italic> brain regions in which the vacuoles were observed. The analysis of the brain of <italic>Drosophila</italic> on the Codex platform (<xref ref-type="bibr" rid="ref54">54</xref>) allowed us to highlight potential areas that are more vulnerable to neurodegeneration (<xref ref-type="fig" rid="fig9">Figure 9</xref>). The input regions represent the connections that transport information from other areas or sensory neurons to the brain. Output regions extend axonal connections from the neuropil to motor neurons or other brain areas.</p>
<fig position="float" id="fig9">
<label>Figure 9</label>
<caption>
<p>Characterization of synaptic connectivity in different neuropil regions of the <italic>Drosophila</italic> brain. Panels <bold>(A-G)</bold> highlight distinct brain regions: <bold>(A)</bold> Periesophageal neuropil, <bold>(B)</bold> Inferior posterior slope (IPS_L), <bold>(C)</bold> Right antennal lobe, <bold>(D)</bold> Anterior ventrolateral protocerebrum (AVLP_L), <bold>(E)</bold> Posterior ventrolateral protocerebrum (PVLP_L), <bold>(F)</bold> Wedge (WED_L), and <bold>(G)</bold> Posterior lateral protocerebrum (PLP_L). For each region, predominant neurotransmitter outputs and inputs are indicated, together with the proportion of intrinsic versus afferent connections (based on Codex database, Dorkenwald et al. (<xref ref-type="bibr" rid="ref60">60</xref>)). Regions with lower intrinsic connectivity (e.g., periesophageal neuropil) are more reliant on afferent inputs and may be more vulnerable to vacuole formation, while highly intrinsic regions (e.g., PVLP_L, PLP_L) show greater local processing capacity and potentially lower vulnerability. Images adapted from codex.flywire.ai (<xref ref-type="bibr" rid="ref60">60</xref>, <xref ref-type="bibr" rid="ref61">61</xref>).</p>
</caption>
<graphic xlink:href="fpubh-13-1644780-g009.tif" mimetype="image" mime-subtype="tiff">
<alt-text content-type="machine-generated">Diagram showing various brain regions with color-coded sections labeled A to G, highlighting different areas: Periesophageal, Ventromedial Inferior Posterior, Right Antennal Lobe, Ventrolateral Anterior, Ventrolateral Posterior, Ventrolateral Wedge, and Ventrolateral Posterior Lateral. Each section lists neurotransmitters (ACH, GABA, GLUT, SER) with percentages indicating intrinsic or afferent properties for outputs and inputs.</alt-text>
</graphic>
</fig>
<p>Interestingly, vacuole was not equally distributed throughout the brain, but concentrated in specific regions, such as some ventrolateral regions of the protocerebrum (AVLP&#x2014;<xref ref-type="fig" rid="fig9">Figure 9D</xref>, PVLP&#x2014;<xref ref-type="fig" rid="fig9">Figure 9E</xref>) and periesophageal neuropils (WED&#x2014;<xref ref-type="fig" rid="fig9">Figure 9F</xref>, PLP&#x2014;<xref ref-type="fig" rid="fig9">Figure 9G</xref>), according to our volumetric analysis. Previous studies have linked the occurrence of vacuolization in specific regions of the <italic>Drosophila</italic> brain to local dysfunction of neurons and glial cells, which can culminate in severe functional impairment (<xref ref-type="bibr" rid="ref55">55</xref>). When we cross-referenced our vacuole localization findings with the data available on the Codex platform for these regions (such as AVLP, PVLP, WED, PLP), we found an enrichment of excitatory (acetylcholine, glutamate) and inhibitory (GABA) neurotransmitter inputs and outputs, suggesting that these areas may be particularly vulnerable to oxidative stress when light-dependent processes&#x2014;whether visual or non-visual&#x2014;are compromised. This is consistent with studies showing that an imbalance between excitatory and inhibitory signaling can exacerbate degenerative processes. There is also evidence that excessive glutamatergic signaling contributes to neurodegenerative disorders in mammals, including Alzheimer&#x2019;s disease (<xref ref-type="bibr" rid="ref56">56</xref>). Furthermore, dysregulation of the excitatory/inhibitory balance, in part mediated by GABA, may accelerate neuronal degeneration and potentially contribute to cognitive and motor deficits.</p>
<p>These two groups were then sorted into intrinsic or afferent. Intrinsic connections are formed by local neurons that synapse within the same area without projecting signals to distant regions. A high percentage of intrinsic connectivity indicates strong self-regulation, with internal circuits responsible for processing information locally. In contrast, afferent connections bring sensory or modulatory information from other parts of the nervous system. Therefore, regions with high afferent connections may be more vulnerable to damage caused by light exposure, as connection loss can lead to more severe dysfunctions. The periesophageal neuropil (<xref ref-type="fig" rid="fig9">Figure 9A</xref>) has lower intrinsic connectivity among all the evaluated regions (approximately 72&#x2013;74%), suggesting greater activation by external afferents associated with Rh7<sup>1</sup> photo sensing.</p>
<p>The formation of vacuoles in the brains of flies possibly affects neurotransmitter balance and, consequently, behavior. The main neurotransmitters listed in the inputs and outputs of <xref ref-type="fig" rid="fig9">Figure 9</xref> are Acetylcholine (ACH), GABA and Glutamate (GLUT), associated with anxious behavior (<xref ref-type="bibr" rid="ref57">57</xref>), neurodegenerative processes (<xref ref-type="bibr" rid="ref56">56</xref>), and ageing (<xref ref-type="bibr" rid="ref58">58</xref>).</p>
<p>The right antennal lobe (<xref ref-type="fig" rid="fig9">Figure 9C</xref>) has the highest proportion of afferent connections (~68.4% output and 53.1% input), which may have been compromised by vacuole formation in all groups (<xref ref-type="fig" rid="fig7">Figure 7</xref>). Furthermore, regions such as the posterior ventrolateral (PVLP_L&#x2014;<xref ref-type="fig" rid="fig9">Figure 9E</xref>) and posterior lateral protocerebrum (PLP_L&#x2014;<xref ref-type="fig" rid="fig9">Figure 9E</xref>) have high intrinsic connectivity (&#x003E;96%), indicating more preserved circuits and less vulnerability to external damage. The high number of vacuoles in those regions suggest that areas with greater dependence on external stimuli may be more vulnerable to light-induced neurodegeneration.</p>
<p>The occurrence of vacuolization in areas of high afferent connectivity indicates that the degeneration is affecting circuits that receive external inputs. This affects the sensory response and behavioral modulation of &#x03B3;-H2Av-positive Rh1<sup>1</sup> flies more prominently.</p>
<p>One hypothesis for the observed differences between the roles of visual and non-visual opsins is that, in situations of excessive blue light, neural pathways mediated by non-visual opsins (such as Rh7) are disturbed. This interaction could disrupt tissue homeostasis, leading to cumulative DNA damage and subsequent vacuolization. The absence of Rh1 would exacerbate this effect, perhaps due to the loss of protective feedback normally mediated by the retina, such as AMP-activated protein kinase (AMPK) (<xref ref-type="bibr" rid="ref59">59</xref>), which results in increased vacuolization in the affected regions.</p>
</sec>
<sec id="sec13">
<label>5</label>
<title>Limitations and future directions</title>
<p>This study offers valuable insights, though some limitations must be acknowledged. The limited number of biological replicates reduces statistical power; however, the consistency of results across replicates and methods supports the reliability of our findings.</p>
<p>Also, we employed a continuous exposure paradigm (24&#x202F;h/day for 20&#x202F;days), which, while useful to maximize cumulative dose and reveal clear effects, does not capture the potential influence of light&#x2013;dark cycles, intermittent exposures, or different dose&#x2013;response regimes. Furthermore, our analyses were focused on &#x03B3;-H2Av as a marker of DNA damage and vacuolization as a marker of neurodegeneration; other relevant cellular pathways, including oxidative stress, apoptosis, synaptic integrity, and glial responses, were not assessed here. It would also be valuable to assess behavioral outcomes such as locomotor performance, and to explore rescue experiments in which Rh1 or Rh7 expression is restored. These approaches will help refine our understanding of how visual and non-visual opsins differentially modulate the neuronal response to blue light.</p>
<p>Future research should also include more detailed temporal analyses of damage progression throughout development and adulthood of animal models. Additionally, it will be essential to investigate the contribution of specific neural circuits and glial populations in these brain regions to elucidate how the absence of an opsin may activate distinct pathways of neurodegeneration in response to light.</p>
</sec>
<sec sec-type="conclusions" id="sec14">
<label>6</label>
<title>Conclusion</title>
<p>Excessive blue light exposure is increasingly recognized as a public health concern, particularly due to widespread use of digital devices. Although the compound eye of <italic>Drosophila</italic> differs structurally from the camera-type eye of mammals, both systems rely on opsins as light-sensitive G-protein coupled receptors and share conserved downstream signaling cascades.</p>
<p>This study helps to elucidate the mechanisms by which different opsins modulate the cellular response to blue light and supports the idea that classical photoreceptors Rh1 influence processes beyond the retina. Additionally, our data suggests that non-visual opsins such as Rh7 may also participate in mediating photosensitivity within the brain. We show that visual opsins, specifically Rh1, are key mediators of blue light-induced DNA damage in flies&#x2019; brains. This aligns with mammalian studies reporting that excessive blue light can impair mitochondrial function, generate reactive oxygen species, and trigger DNA damage in retinal photoreceptors and ganglion cells, ultimately contributing to neurodegeneration and vision-related disorders such as glaucoma and age-related macular degeneration. Therefore, despite anatomical differences, the molecular vulnerability to high-energy blue light is conserved across species, underscoring the translational relevance of our findings and their potential impact on human health.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="sec15">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec sec-type="author-contributions" id="sec16">
<title>Author contributions</title>
<p>MP-S: Methodology, Data curation, Conceptualization, Investigation, Writing &#x2013; review &#x0026; editing, Writing &#x2013; original draft, Formal analysis. SM: Writing &#x2013; original draft, Investigation, Writing &#x2013; review &#x0026; editing, Data curation, Conceptualization. HZ: Conceptualization, Writing &#x2013; review &#x0026; editing, Investigation, Writing &#x2013; original draft, Data curation. MO: Writing &#x2013; original draft, Software, Investigation, Conceptualization. JM: Writing &#x2013; review &#x0026; editing, Formal analysis, Visualization, Supervision. CZ: Conceptualization, Resources, Writing &#x2013; original draft, Project administration, Visualization, Validation, Funding acquisition, Supervision, Writing &#x2013; review &#x0026; editing.</p>
</sec>

<ack><title>Acknowledgments</title>
<p>The authors thank Dr. Stephen Ferguson for designing and fabricating the irradiation systems, Professor Craig Montell for kindly providing the <italic>Drosophila</italic> strains and Professor Dragana Rogulja for providing Lab facilities. We acknowledge the Princeton FlyWire team and members of the Murthy and Seung labs for development and maintenance of FlyWire (supported by BRAIN Initiative grant MH117815 to Murthy and Seung) (<ext-link xlink:href="https://edit.flywire.ai/credits.html" ext-link-type="uri">https://edit.flywire.ai/credits.html</ext-link>). We also acknowledge the FlyWire consortium for neuron proofreading and annotation.</p>
</ack>
<sec sec-type="COI-statement" id="sec18">
<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="sec19">
<title>Generative AI statement</title>
<p>The authors declare that Gen AI was used in the creation of this manuscript. The authors used OpenAI's ChatGPT and DeepL Write to assist with English language editing and improvement of grammar, structure, and clarity during the manuscript preparation. All scientific content, data interpretation, and conclusions were developed solely by the authors.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="disclaimer" id="sec20">
<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>
<ref-list>
<title>References</title>
<ref id="ref1"><label>1.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ding</surname><given-names>M</given-names></name> <name><surname>Zhou</surname><given-names>H</given-names></name> <name><surname>Li</surname><given-names>Y-M</given-names></name> <name><surname>Zheng</surname><given-names>Y-W</given-names></name></person-group>. <article-title>Molecular pathways regulating circadian rhythm and associated diseases</article-title>. <source>Front Biosci (Landmark Ed)</source>. (<year>2024</year>) <volume>29</volume>:<fpage>206</fpage>. doi: <pub-id pub-id-type="doi">10.31083/j.fbl2906206</pub-id>, PMID: <pub-id pub-id-type="pmid">38940028</pub-id></mixed-citation></ref>
<ref id="ref2"><label>2.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Fisk</surname><given-names>AS</given-names></name> <name><surname>Tam</surname><given-names>SKE</given-names></name> <name><surname>Brown</surname><given-names>LA</given-names></name> <name><surname>Vyazovskiy</surname><given-names>VV</given-names></name> <name><surname>Bannerman</surname><given-names>DM</given-names></name> <name><surname>Peirson</surname><given-names>SN</given-names></name></person-group>. <article-title>Light and cognition: roles for circadian rhythms, sleep, and arousal</article-title>. <source>Front Neurol</source>. (<year>2018</year>) <volume>9</volume>:<fpage>56</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fneur.2018.00056</pub-id>, PMID: <pub-id pub-id-type="pmid">29479335</pub-id></mixed-citation></ref>
<ref id="ref3"><label>3.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><collab id="coll1">The Nielsen Total Audience Report: Q3</collab></person-group>. Nielsen (<year>2018</year>). Available online at: <ext-link xlink:href="https://www.nielsen.com/insights/2019/q3-2018-total-audience-report/" ext-link-type="uri">https://www.nielsen.com/insights/2019/q3-2018-total-audience-report/</ext-link> (Accessed March 30, 2025).</mixed-citation></ref>
<ref id="ref4"><label>4.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Chang</surname><given-names>A-M</given-names></name> <name><surname>Aeschbach</surname><given-names>D</given-names></name> <name><surname>Duffy</surname><given-names>JF</given-names></name> <name><surname>Czeisler</surname><given-names>CA</given-names></name></person-group>. <article-title>Evening use of light-emitting eReaders negatively affects sleep, circadian timing, and next-morning alertness</article-title>. <source>Proc Natl Acad Sci USA</source>. (<year>2015</year>) <volume>112</volume>:<fpage>1232</fpage>&#x2013;<lpage>7</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.1418490112</pub-id>, PMID: <pub-id pub-id-type="pmid">25535358</pub-id></mixed-citation></ref>
<ref id="ref5"><label>5.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>H&#x00F6;hn</surname><given-names>C</given-names></name> <name><surname>Schmid</surname><given-names>SR</given-names></name> <name><surname>Plamberger</surname><given-names>CP</given-names></name> <name><surname>Bothe</surname><given-names>K</given-names></name> <name><surname>Angerer</surname><given-names>M</given-names></name> <name><surname>Gruber</surname><given-names>G</given-names></name> <etal/></person-group>. <article-title>Preliminary results: the impact of smartphone use and short-wavelength light during the evening on circadian rhythm, sleep and alertness</article-title>. <source>Clocks Sleep</source>. (<year>2021</year>) <volume>3</volume>:<fpage>66</fpage>&#x2013;<lpage>86</lpage>. doi: <pub-id pub-id-type="doi">10.3390/clockssleep3010005</pub-id>, PMID: <pub-id pub-id-type="pmid">33499010</pub-id></mixed-citation></ref>
<ref id="ref6"><label>6.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cao</surname><given-names>M</given-names></name> <name><surname>Xu</surname><given-names>T</given-names></name> <name><surname>Yin</surname><given-names>D</given-names></name></person-group>. <article-title>Understanding light pollution: recent advances on its health threats and regulations</article-title>. <source>J Environ Sci</source>. (<year>2023</year>) <volume>127</volume>:<fpage>589</fpage>&#x2013;<lpage>602</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jes.2022.06.020</pub-id></mixed-citation></ref>
<ref id="ref7"><label>7.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lunn</surname><given-names>RM</given-names></name> <name><surname>Blask</surname><given-names>DE</given-names></name> <name><surname>Coogan</surname><given-names>AN</given-names></name> <name><surname>Figueiro</surname><given-names>MG</given-names></name> <name><surname>Gorman</surname><given-names>MR</given-names></name> <name><surname>Hall</surname><given-names>JE</given-names></name> <etal/></person-group>. <article-title>Health consequences of electric lighting practices in the modern world: a report on the National Toxicology Program&#x2019;s workshop on shift work at night, artificial light at night, and circadian disruption</article-title>. <source>Sci Total Environ</source>. (<year>2017</year>) <volume>607&#x2013;608</volume>:<fpage>1073</fpage>&#x2013;<lpage>84</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2017.07.056</pub-id></mixed-citation></ref>
<ref id="ref8"><label>8.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Tancredi</surname><given-names>S</given-names></name> <name><surname>Urbano</surname><given-names>T</given-names></name> <name><surname>Vinceti</surname><given-names>M</given-names></name> <name><surname>Filippini</surname><given-names>T</given-names></name></person-group>. <article-title>Artificial light at night and risk of mental disorders: a systematic review</article-title>. <source>Sci Total Environ</source>. (<year>2022</year>) <volume>833</volume>:<fpage>155185</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.scitotenv.2022.155185</pub-id>, PMID: <pub-id pub-id-type="pmid">35417728</pub-id></mixed-citation></ref>
<ref id="ref9"><label>9.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>J</given-names></name> <name><surname>Hendrix</surname><given-names>DA</given-names></name> <name><surname>Giebultowicz</surname><given-names>JM</given-names></name></person-group>. <article-title>The dark side of artificial light</article-title>. <source>Biochemist</source>. (<year>2020</year>) <volume>42</volume>:<fpage>32</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1042/BIO20200060</pub-id></mixed-citation></ref>
<ref id="ref10"><label>10.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Cougnard-Gregoire</surname><given-names>A</given-names></name> <name><surname>Merle</surname><given-names>BMJ</given-names></name> <name><surname>Aslam</surname><given-names>T</given-names></name> <name><surname>Seddon</surname><given-names>JM</given-names></name> <name><surname>Aknin</surname><given-names>I</given-names></name> <name><surname>Klaver</surname><given-names>CCW</given-names></name> <etal/></person-group>. <article-title>Blue light exposure: ocular hazards and prevention&#x2014;a narrative review</article-title>. <source>Ophthalmol Ther</source>. (<year>2023</year>) <volume>12</volume>:<fpage>755</fpage>&#x2013;<lpage>88</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s40123-023-00675-3</pub-id>, PMID: <pub-id pub-id-type="pmid">36808601</pub-id></mixed-citation></ref>
<ref id="ref11"><label>11.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hip&#x00F3;lito</surname><given-names>V</given-names></name> <name><surname>Coelho</surname><given-names>JMP</given-names></name></person-group>. <article-title>Blue light of the digital era: a comparative study of devices</article-title>. <source>Photonics</source>. (<year>2024</year>) <volume>11</volume>:<fpage>93</fpage>. doi: <pub-id pub-id-type="doi">10.3390/photonics11010093</pub-id></mixed-citation></ref>
<ref id="ref12"><label>12.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hatori</surname><given-names>M</given-names></name> <name><surname>Gronfier</surname><given-names>C</given-names></name> <name><surname>van Gelder</surname><given-names>RN</given-names></name> <name><surname>Bernstein</surname><given-names>PS</given-names></name> <name><surname>Carreras</surname><given-names>J</given-names></name> <name><surname>Panda</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>Global rise of potential health hazards caused by blue light-induced circadian disruption in modern aging societies</article-title>. <source>NPJ Aging Mech Dis</source>. (<year>2017</year>) <volume>3</volume>:<fpage>9</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41514-017-0010-2</pub-id>, PMID: <pub-id pub-id-type="pmid">28649427</pub-id></mixed-citation></ref>
<ref id="ref13"><label>13.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Salceda</surname><given-names>R</given-names></name></person-group>. <article-title>Light pollution and oxidative stress: effects on retina and human health</article-title>. <source>Antioxidants</source>. (<year>2024</year>) <volume>13</volume>:<fpage>362</fpage>. doi: <pub-id pub-id-type="doi">10.3390/antiox13030362</pub-id>, PMID: <pub-id pub-id-type="pmid">38539895</pub-id></mixed-citation></ref>
<ref id="ref14"><label>14.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karska</surname><given-names>J</given-names></name> <name><surname>Kowalski</surname><given-names>S</given-names></name> <name><surname>G&#x0142;adka</surname><given-names>A</given-names></name> <name><surname>Brzecka</surname><given-names>A</given-names></name> <name><surname>Sochocka</surname><given-names>M</given-names></name> <name><surname>Kurpas</surname><given-names>D</given-names></name> <etal/></person-group>. <article-title>Artificial light and neurodegeneration: does light pollution impact the development of Alzheimer&#x2019;s disease?</article-title> <source>GeroScience</source>. (<year>2024</year>) <volume>46</volume>:<fpage>87</fpage>&#x2013;<lpage>97</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s11357-023-00932-0</pub-id>, PMID: <pub-id pub-id-type="pmid">37733222</pub-id></mixed-citation></ref>
<ref id="ref15"><label>15.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Burns</surname><given-names>AC</given-names></name> <name><surname>Windred</surname><given-names>DP</given-names></name> <name><surname>Rutter</surname><given-names>MK</given-names></name> <name><surname>Olivier</surname><given-names>P</given-names></name> <name><surname>Vetter</surname><given-names>C</given-names></name> <name><surname>Saxena</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>Day and night light exposure are associated with psychiatric disorders: an objective light study in &#x003E;85,000 people</article-title>. <source>Nat Ment Health</source>. (<year>2023</year>) <volume>1</volume>:<fpage>853</fpage>&#x2013;<lpage>62</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s44220-023-00135-8</pub-id></mixed-citation></ref>
<ref id="ref16"><label>16.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dautovich</surname><given-names>ND</given-names></name> <name><surname>Schreiber</surname><given-names>DR</given-names></name> <name><surname>Imel</surname><given-names>JL</given-names></name> <name><surname>Tighe</surname><given-names>CA</given-names></name> <name><surname>Shoji</surname><given-names>KD</given-names></name> <name><surname>Cyrus</surname><given-names>J</given-names></name> <etal/></person-group>. <article-title>A systematic review of the amount and timing of light in association with objective and subjective sleep outcomes in community-dwelling adults</article-title>. <source>Sleep Health</source>. (<year>2019</year>) <volume>5</volume>:<fpage>31</fpage>&#x2013;<lpage>48</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.sleh.2018.09.006</pub-id>, PMID: <pub-id pub-id-type="pmid">30670164</pub-id></mixed-citation></ref>
<ref id="ref17"><label>17.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>U&#x011F;urlu</surname><given-names>AK</given-names></name> <name><surname>Bideci</surname><given-names>A</given-names></name> <name><surname>Demirel</surname><given-names>AM</given-names></name> <name><surname>Kaplano&#x011F;lu</surname><given-names>GT</given-names></name> <name><surname>Dayan&#x0131;r</surname><given-names>D</given-names></name> <name><surname>G&#x00FC;lbahar</surname><given-names>&#x00D6;</given-names></name> <etal/></person-group>. <article-title>Is blue light exposure a cause of precocious puberty in male rats?</article-title> <source>Front Endocrinol</source>. (<year>2023</year>) <volume>14</volume>:<fpage>1190445</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fendo.2023.1190445</pub-id>, PMID: <pub-id pub-id-type="pmid">37409230</pub-id></mixed-citation></ref>
<ref id="ref18"><label>18.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nash</surname><given-names>TR</given-names></name> <name><surname>Chow</surname><given-names>ES</given-names></name> <name><surname>Law</surname><given-names>AD</given-names></name> <name><surname>Fu</surname><given-names>SD</given-names></name> <name><surname>Fuszara</surname><given-names>E</given-names></name> <name><surname>Bilska</surname><given-names>A</given-names></name> <etal/></person-group>. <article-title>Daily blue-light exposure shortens lifespan and causes brain neurodegeneration in Drosophila</article-title>. <source>Npj Aging Mech Dis</source>. (<year>2019</year>) <volume>5</volume>:<fpage>1</fpage>&#x2013;<lpage>8</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41514-019-0038-6</pub-id></mixed-citation></ref>
<ref id="ref19"><label>19.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Shichida</surname><given-names>Y</given-names></name> <name><surname>Matsuyama</surname><given-names>T</given-names></name></person-group>. <article-title>Evolution of opsins and phototransduction</article-title>. <source>Philos Trans R Soc Lond Ser B Biol Sci</source>. (<year>2009</year>) <volume>364</volume>:<fpage>2881</fpage>&#x2013;<lpage>95</lpage>. doi: <pub-id pub-id-type="doi">10.1098/rstb.2009.0051</pub-id>, PMID: <pub-id pub-id-type="pmid">19720651</pub-id></mixed-citation></ref>
<ref id="ref20"><label>20.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Terakita</surname><given-names>A</given-names></name></person-group>. <article-title>The opsins</article-title>. <source>Genome Biol</source>. (<year>2005</year>) <volume>6</volume>:<fpage>213</fpage>. doi: <pub-id pub-id-type="doi">10.1186/gb-2005-6-3-213</pub-id>, PMID: <pub-id pub-id-type="pmid">15774036</pub-id></mixed-citation></ref>
<ref id="ref21"><label>21.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Moraes</surname><given-names>MN</given-names></name> <name><surname>De Assis</surname><given-names>LVM</given-names></name> <name><surname>Provencio</surname><given-names>I</given-names></name> <name><surname>Castrucci</surname><given-names>AMDL</given-names></name></person-group>. <article-title>Opsins outside the eye and the skin: a more complex scenario than originally thought for a classical light sensor</article-title>. <source>Cell Tissue Res</source>. (<year>2021</year>) <volume>385</volume>:<fpage>519</fpage>&#x2013;<lpage>38</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s00441-021-03500-0</pub-id>, PMID: <pub-id pub-id-type="pmid">34236517</pub-id></mixed-citation></ref>
<ref id="ref22"><label>22.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Guido</surname><given-names>ME</given-names></name> <name><surname>Marchese</surname><given-names>NA</given-names></name> <name><surname>Rios</surname><given-names>MN</given-names></name> <name><surname>Morera</surname><given-names>LP</given-names></name> <name><surname>Diaz</surname><given-names>NM</given-names></name> <name><surname>Garbarino-Pico</surname><given-names>E</given-names></name> <etal/></person-group>. <article-title>Non-visual opsins and novel photo-detectors in the vertebrate inner retina mediate light responses within the blue Spectrum region</article-title>. <source>Cell Mol Neurobiol</source>. (<year>2022</year>) <volume>42</volume>:<fpage>59</fpage>&#x2013;<lpage>83</lpage>. doi: <pub-id pub-id-type="doi">10.1007/s10571-020-00997-x</pub-id>, PMID: <pub-id pub-id-type="pmid">33231827</pub-id></mixed-citation></ref>
<ref id="ref23"><label>23.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Provencio</surname><given-names>I</given-names></name> <name><surname>Rodriguez</surname><given-names>IR</given-names></name> <name><surname>Jiang</surname><given-names>G</given-names></name> <name><surname>Hayes</surname><given-names>WP</given-names></name> <name><surname>Moreira</surname><given-names>EF</given-names></name> <name><surname>Rollag</surname><given-names>MD</given-names></name></person-group>. <article-title>A novel human opsin in the inner retina</article-title>. <source>J Neurosci</source>. (<year>2000</year>) <volume>20</volume>:<fpage>600</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.20-02-00600.2000</pub-id>, PMID: <pub-id pub-id-type="pmid">10632589</pub-id></mixed-citation></ref>
<ref id="ref24"><label>24.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Provencio</surname><given-names>I</given-names></name> <name><surname>Jiang</surname><given-names>G</given-names></name> <name><surname>De Grip</surname><given-names>WJ</given-names></name> <name><surname>Hayes</surname><given-names>WP</given-names></name> <name><surname>Rollag</surname><given-names>MD</given-names></name></person-group>. <article-title>Melanopsin: an opsin in melanophores, brain, and eye</article-title>. <source>Proc Natl Acad Sci</source>. (<year>1998</year>) <volume>95</volume>:<fpage>340</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1073/pnas.95.1.340</pub-id>, PMID: <pub-id pub-id-type="pmid">9419377</pub-id></mixed-citation></ref>
<ref id="ref25"><label>25.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Leung</surname><given-names>NY</given-names></name> <name><surname>Montell</surname><given-names>C</given-names></name></person-group>. <article-title>Unconventional roles of opsins</article-title>. <source>Annu Rev Cell Dev Biol</source>. (<year>2017</year>) <volume>33</volume>:<fpage>241</fpage>&#x2013;<lpage>64</lpage>. doi: <pub-id pub-id-type="doi">10.1146/annurev-cellbio-100616-060432</pub-id>, PMID: <pub-id pub-id-type="pmid">28598695</pub-id></mixed-citation></ref>
<ref id="ref26"><label>26.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Sharkey</surname><given-names>CR</given-names></name> <name><surname>Blanco</surname><given-names>J</given-names></name> <name><surname>Leibowitz</surname><given-names>MM</given-names></name> <name><surname>Pinto-Benito</surname><given-names>D</given-names></name> <name><surname>Wardill</surname><given-names>TJ</given-names></name></person-group>. <article-title>The spectral sensitivity of <italic>Drosophila</italic> photoreceptors</article-title>. <source>Sci Rep</source>. (<year>2020</year>) <volume>10</volume>:<fpage>18242</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-74742-1</pub-id>, PMID: <pub-id pub-id-type="pmid">33106518</pub-id></mixed-citation></ref>
<ref id="ref27"><label>27.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Au</surname><given-names>DD</given-names></name> <name><surname>Liu</surname><given-names>JC</given-names></name> <name><surname>Park</surname><given-names>SJ</given-names></name> <name><surname>Nguyen</surname><given-names>TH</given-names></name> <name><surname>Dimalanta</surname><given-names>M</given-names></name> <name><surname>Foden</surname><given-names>AJ</given-names></name> <etal/></person-group>. <article-title><italic>Drosophila</italic> photoreceptor systems converge in arousal neurons and confer light responsive robustness</article-title>. <source>Front Neurosci</source>. (<year>2023</year>) <volume>17</volume>:<fpage>1160353</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fnins.2023.1160353</pub-id>, PMID: <pub-id pub-id-type="pmid">37274190</pub-id></mixed-citation></ref>
<ref id="ref28"><label>28.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Foster</surname><given-names>RG</given-names></name> <name><surname>Hankins</surname><given-names>MW</given-names></name></person-group>. <article-title>Non-rod, non-cone photoreception in the vertebrates</article-title>. <source>Prog Retin Eye Res</source>. (<year>2002</year>) <volume>21</volume>:<fpage>507</fpage>&#x2013;<lpage>27</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S1350-9462(02)00036-8</pub-id>, PMID: <pub-id pub-id-type="pmid">12433375</pub-id></mixed-citation></ref>
<ref id="ref29"><label>29.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Freedman</surname><given-names>MS</given-names></name> <name><surname>Lucas</surname><given-names>RJ</given-names></name> <name><surname>Soni</surname><given-names>B</given-names></name> <name><surname>Von Schantz</surname><given-names>M</given-names></name> <name><surname>Mu&#x00F1;oz</surname><given-names>M</given-names></name> <name><surname>David-Gray</surname><given-names>Z</given-names></name> <etal/></person-group>. <article-title>Regulation of mammalian circadian behavior by non-rod, non-cone, ocular photoreceptors</article-title>. <source>Science</source>. (<year>1999</year>) <volume>284</volume>:<fpage>502</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1126/science.284.5413.502</pub-id></mixed-citation></ref>
<ref id="ref30"><label>30.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Valdez</surname><given-names>DJ</given-names></name> <name><surname>Nieto</surname><given-names>PS</given-names></name> <name><surname>Garbarino-Pico</surname><given-names>E</given-names></name> <name><surname>Avalle</surname><given-names>LB</given-names></name> <name><surname>D&#x00ED;az-Fajreldines</surname><given-names>H</given-names></name> <name><surname>Schurrer</surname><given-names>C</given-names></name> <etal/></person-group>. <article-title>A nonmammalian vertebrate model of blindness reveals functional photoreceptors in the inner retina</article-title>. <source>FASEB J</source>. (<year>2009</year>) <volume>23</volume>:<fpage>1186</fpage>&#x2013;<lpage>95</lpage>. doi: <pub-id pub-id-type="doi">10.1096/fj.08-117085</pub-id>, PMID: <pub-id pub-id-type="pmid">19074512</pub-id></mixed-citation></ref>
<ref id="ref31"><label>31.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pan</surname><given-names>D</given-names></name> <name><surname>Wang</surname><given-names>Z</given-names></name> <name><surname>Chen</surname><given-names>Y</given-names></name> <name><surname>Cao</surname><given-names>J</given-names></name></person-group>. <article-title>Melanopsin-mediated optical entrainment regulates circadian rhythms in vertebrates</article-title>. <source>Commun Biol</source>. (<year>2023</year>) <volume>6</volume>:<fpage>1054</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s42003-023-05432-7</pub-id>, PMID: <pub-id pub-id-type="pmid">37853054</pub-id></mixed-citation></ref>
<ref id="ref32"><label>32.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Poletini</surname><given-names>MO</given-names></name> <name><surname>Ramos</surname><given-names>BC</given-names></name> <name><surname>Moraes</surname><given-names>MN</given-names></name> <name><surname>Castrucci</surname><given-names>AML</given-names></name></person-group>. <article-title>Nonvisual opsins and the regulation of peripheral clocks by light and hormones</article-title>. <source>Photochem Photobiol</source>. (<year>2015</year>) <volume>91</volume>:<fpage>1046</fpage>&#x2013;<lpage>55</lpage>. doi: <pub-id pub-id-type="doi">10.1111/php.12494</pub-id>, PMID: <pub-id pub-id-type="pmid">26174318</pub-id></mixed-citation></ref>
<ref id="ref33"><label>33.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>KX</given-names></name> <name><surname>D&#x2019;Souza</surname><given-names>S</given-names></name> <name><surname>Upton</surname><given-names>BA</given-names></name> <name><surname>Kernodle</surname><given-names>S</given-names></name> <name><surname>Vemaraju</surname><given-names>S</given-names></name> <name><surname>Nayak</surname><given-names>G</given-names></name> <etal/></person-group>. <article-title>Violet-light suppression of thermogenesis by opsin 5 hypothalamic neurons</article-title>. <source>Nature</source>. (<year>2020</year>) <volume>585</volume>:<fpage>420</fpage>&#x2013;<lpage>5</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41586-020-2683-0</pub-id>, PMID: <pub-id pub-id-type="pmid">32879486</pub-id></mixed-citation></ref>
<ref id="ref34"><label>34.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kawano-Yamashita</surname><given-names>E</given-names></name> <name><surname>Koyanagi</surname><given-names>M</given-names></name> <name><surname>Wada</surname><given-names>S</given-names></name> <name><surname>Saito</surname><given-names>T</given-names></name> <name><surname>Sugihara</surname><given-names>T</given-names></name> <name><surname>Tamotsu</surname><given-names>S</given-names></name> <etal/></person-group>. <article-title>The non-visual opsins expressed in deep brain neurons projecting to the retina in lampreys</article-title>. <source>Sci Rep</source>. (<year>2020</year>) <volume>10</volume>:<fpage>9669</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-020-66679-2</pub-id>, PMID: <pub-id pub-id-type="pmid">32541666</pub-id></mixed-citation></ref>
<ref id="ref35"><label>35.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Karthikeyan</surname><given-names>R</given-names></name> <name><surname>Davies</surname><given-names>WIL</given-names></name> <name><surname>Gunhaga</surname><given-names>L</given-names></name></person-group>. <article-title>Non-image-forming functional roles of OPN3, OPN4 and OPN5 photopigments</article-title>. <source>J Photochem Photobiol</source>. (<year>2023</year>) <volume>15</volume>:<fpage>100177</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.jpap.2023.100177</pub-id></mixed-citation></ref>
<ref id="ref36"><label>36.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Nayak</surname><given-names>G</given-names></name> <name><surname>Zhang</surname><given-names>KX</given-names></name> <name><surname>Vemaraju</surname><given-names>S</given-names></name> <name><surname>Odaka</surname><given-names>Y</given-names></name> <name><surname>Buhr</surname><given-names>ED</given-names></name> <name><surname>Holt-Jones</surname><given-names>A</given-names></name> <etal/></person-group>. <article-title>Adaptive thermogenesis in mice is enhanced by opsin 3-dependent adipocyte light sensing</article-title>. <source>Cell Rep</source>. (<year>2020</year>) <volume>30</volume>:<fpage>672</fpage>&#x2013;<lpage>686.e8</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.celrep.2019.12.043</pub-id>, PMID: <pub-id pub-id-type="pmid">31968245</pub-id></mixed-citation></ref>
<ref id="ref37"><label>37.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Kelley</surname><given-names>JL</given-names></name> <name><surname>Davies</surname><given-names>WIL</given-names></name></person-group>. <article-title>The biological mechanisms and behavioral functions of opsin-based light detection by the skin</article-title>. <source>Front Ecol Evol</source>. (<year>2016</year>) <volume>4</volume>:<fpage>106</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fevo.2016.00106</pub-id></mixed-citation></ref>
<ref id="ref38"><label>38.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Ni</surname><given-names>JD</given-names></name> <name><surname>Baik</surname><given-names>LS</given-names></name> <name><surname>Holmes</surname><given-names>TC</given-names></name> <name><surname>Montell</surname><given-names>C</given-names></name></person-group>. <article-title>A rhodopsin in the brain functions in circadian photoentrainment in Drosophila</article-title>. <source>Nature</source>. (<year>2017</year>) <volume>545</volume>:<fpage>340</fpage>&#x2013;<lpage>4</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nature22325</pub-id>, PMID: <pub-id pub-id-type="pmid">28489826</pub-id></mixed-citation></ref>
<ref id="ref39"><label>39.</label><mixed-citation publication-type="other">FlyBase gene report: Dmel\ninaE. Available online at: <ext-link xlink:href="https://flybase.org/reports/FBgn0002940" ext-link-type="uri">https://flybase.org/reports/FBgn0002940</ext-link> (Accessed January 20, 2025).</mixed-citation></ref>
<ref id="ref40"><label>40.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zhang</surname><given-names>Z</given-names></name> <name><surname>Shan</surname><given-names>X</given-names></name> <name><surname>Li</surname><given-names>S</given-names></name> <name><surname>Chang</surname><given-names>J</given-names></name> <name><surname>Zhang</surname><given-names>Z</given-names></name> <name><surname>Dong</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>Retinal light damage: from mechanisms to protective strategies</article-title>. <source>Surv Ophthalmol</source>. (<year>2024</year>) <volume>69</volume>:<fpage>905</fpage>&#x2013;<lpage>15</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.survophthal.2024.07.004</pub-id>, PMID: <pub-id pub-id-type="pmid">39053594</pub-id></mixed-citation></ref>
<ref id="ref41"><label>41.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Yang</surname><given-names>J</given-names></name> <name><surname>Song</surname><given-names>Y</given-names></name> <name><surname>Law</surname><given-names>AD</given-names></name> <name><surname>Rogan</surname><given-names>CJ</given-names></name> <name><surname>Shimoda</surname><given-names>K</given-names></name> <name><surname>Djukovic</surname><given-names>D</given-names></name> <etal/></person-group>. <article-title>Chronic blue light leads to accelerated aging in <italic>Drosophila</italic> by impairing energy metabolism and neurotransmitter levels</article-title>. <source>Front Aging</source>. (<year>2022</year>) <volume>3</volume>:<fpage>983373</fpage>. doi: <pub-id pub-id-type="doi">10.3389/fragi.2022.983373</pub-id>, PMID: <pub-id pub-id-type="pmid">36118990</pub-id></mixed-citation></ref>
<ref id="ref42"><label>42.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Song</surname><given-names>Y</given-names></name> <name><surname>Yang</surname><given-names>J</given-names></name> <name><surname>Law</surname><given-names>AD</given-names></name> <name><surname>Hendrix</surname><given-names>DA</given-names></name> <name><surname>Kretzschmar</surname><given-names>D</given-names></name> <name><surname>Robinson</surname><given-names>M</given-names></name> <etal/></person-group>. <article-title>Age-dependent effects of blue light exposure on lifespan, neurodegeneration, and mitochondria physiology in <italic>Drosophila melanogaster</italic></article-title>. <source>NPJ Aging</source>. (<year>2022</year>) <volume>8</volume>:<fpage>11</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41514-022-00092-z</pub-id>, PMID: <pub-id pub-id-type="pmid">35927421</pub-id></mixed-citation></ref>
<ref id="ref43"><label>43.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Au</surname><given-names>DD</given-names></name> <name><surname>Foden</surname><given-names>AJ</given-names></name> <name><surname>Park</surname><given-names>SJ</given-names></name> <name><surname>Nguyen</surname><given-names>TH</given-names></name> <name><surname>Liu</surname><given-names>JC</given-names></name> <name><surname>Tran</surname><given-names>MD</given-names></name> <etal/></person-group>. <article-title>Mosquito cryptochromes expressed in <italic>Drosophila</italic> confer species-specific behavioral light responses</article-title>. <source>Curr Biol</source>. (<year>2022</year>) <volume>32</volume>:<fpage>3731</fpage>&#x2013;<lpage>3744.e4</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2022.07.021</pub-id>, PMID: <pub-id pub-id-type="pmid">35914532</pub-id></mixed-citation></ref>
<ref id="ref44"><label>44.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Helfrich-F&#x00F6;rster</surname><given-names>C</given-names></name> <name><surname>Winter</surname><given-names>C</given-names></name> <name><surname>Hofbauer</surname><given-names>A</given-names></name> <name><surname>Hall</surname><given-names>JC</given-names></name> <name><surname>Stanewsky</surname><given-names>R</given-names></name></person-group>. <article-title>The circadian clock of fruit flies is blind after elimination of all known photoreceptors</article-title>. <source>Neuron</source>. (<year>2001</year>) <volume>30</volume>:<fpage>249</fpage>&#x2013;<lpage>61</lpage>. doi: <pub-id pub-id-type="doi">10.1016/S0896-6273(01)00277-X</pub-id>, PMID: <pub-id pub-id-type="pmid">11343659</pub-id></mixed-citation></ref>
<ref id="ref45"><label>45.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Krittika</surname><given-names>S</given-names></name> <name><surname>Yadav</surname><given-names>P</given-names></name></person-group>. <article-title>Alterations in lifespan and sleep:wake duration under selective monochromes of visible light in <italic>Drosophila melanogaster</italic></article-title>. <source>Biol Open</source>. (<year>2022</year>) <volume>11</volume>:<fpage>bio059273</fpage>. doi: <pub-id pub-id-type="doi">10.1242/bio.059273</pub-id></mixed-citation></ref>
<ref id="ref46"><label>46.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Awasaki</surname><given-names>T</given-names></name> <name><surname>Lai</surname><given-names>S-L</given-names></name> <name><surname>Ito</surname><given-names>K</given-names></name> <name><surname>Lee</surname><given-names>T</given-names></name></person-group>. <article-title>Organization and postembryonic development of glial cells in the adult central brain of Drosophila</article-title>. <source>J Neurosci</source>. (<year>2008</year>) <volume>28</volume>:<fpage>13742</fpage>&#x2013;<lpage>53</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.4844-08.2008</pub-id>, PMID: <pub-id pub-id-type="pmid">19091965</pub-id></mixed-citation></ref>
<ref id="ref47"><label>47.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lessing</surname><given-names>D</given-names></name> <name><surname>Bonini</surname><given-names>NM</given-names></name></person-group>. <article-title>Maintaining the brain: insight into human neurodegeneration from <italic>Drosophila melanogaster</italic> mutants</article-title>. <source>Nat Rev Genet</source>. (<year>2009</year>) <volume>10</volume>:<fpage>359</fpage>&#x2013;<lpage>70</lpage>. doi: <pub-id pub-id-type="doi">10.1038/nrg2563</pub-id>, PMID: <pub-id pub-id-type="pmid">19434080</pub-id></mixed-citation></ref>
<ref id="ref48"><label>48.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>M&#x00FC;hlig-Versen</surname><given-names>M</given-names></name> <name><surname>da Cruz</surname><given-names>AB</given-names></name> <name><surname>Tsch&#x00E4;pe</surname><given-names>JA</given-names></name> <name><surname>Moser</surname><given-names>M</given-names></name> <name><surname>B&#x00FC;ttner</surname><given-names>R</given-names></name> <name><surname>Athenstaedt</surname><given-names>K</given-names></name> <etal/></person-group>. <article-title>Loss of Swiss cheese/neuropathy target esterase activity causes disruption of phosphatidylcholine homeostasis and neuronal and glial death in adult <italic>Drosophila</italic></article-title>. <source>J Neurosci</source>. (<year>2005</year>) <volume>25</volume>:<fpage>2865</fpage>&#x2013;<lpage>73</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.5097-04.2005</pub-id>, PMID: <pub-id pub-id-type="pmid">15772346</pub-id></mixed-citation></ref>
<ref id="ref49"><label>49.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Rival</surname><given-names>T</given-names></name> <name><surname>Soustelle</surname><given-names>L</given-names></name> <name><surname>Strambi</surname><given-names>C</given-names></name> <name><surname>Besson</surname><given-names>MT</given-names></name> <name><surname>Ich&#x00E9;</surname><given-names>M</given-names></name> <name><surname>Birman</surname><given-names>S</given-names></name></person-group>. <article-title>Decreasing glutamate buffering capacity triggers oxidative stress and neuropil degeneration in the <italic>Drosophila</italic> brain</article-title>. <source>Curr Biol</source>. (<year>2004</year>) <volume>14</volume>:<fpage>599</fpage>&#x2013;<lpage>605</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2004.03.039</pub-id>, PMID: <pub-id pub-id-type="pmid">15062101</pub-id></mixed-citation></ref>
<ref id="ref50"><label>50.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Behnke</surname><given-names>JA</given-names></name> <name><surname>Ye</surname><given-names>C</given-names></name> <name><surname>Moberg</surname><given-names>KH</given-names></name> <name><surname>Zheng</surname><given-names>JQ</given-names></name></person-group>. <article-title>A protocol to detect neurodegeneration in <italic>Drosophila melanogaster</italic> whole-brain mounts using advanced microscopy</article-title>. <source>STAR Protoc</source>. (<year>2021</year>) <volume>2</volume>:<fpage>100689</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.xpro.2021.100689</pub-id>, PMID: <pub-id pub-id-type="pmid">34382016</pub-id></mixed-citation></ref>
<ref id="ref51"><label>51.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Wen</surname><given-names>T</given-names></name> <name><surname>Tong</surname><given-names>B</given-names></name> <name><surname>Liu</surname><given-names>Y</given-names></name> <name><surname>Pan</surname><given-names>T</given-names></name> <name><surname>du</surname><given-names>Y</given-names></name> <name><surname>Chen</surname><given-names>Y</given-names></name> <etal/></person-group>. <article-title>Review of research on the instance segmentation of cell images</article-title>. <source>Comput Methods Prog Biomed</source>. (<year>2022</year>) <volume>227</volume>:<fpage>107211</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cmpb.2022.107211</pub-id>, PMID: <pub-id pub-id-type="pmid">36356384</pub-id></mixed-citation></ref>
<ref id="ref52"><label>52.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Pinter</surname><given-names>C</given-names></name> <name><surname>Lasso</surname><given-names>A</given-names></name> <name><surname>Fichtinger</surname><given-names>G</given-names></name></person-group>. <article-title>Polymorph segmentation representation for medical image computing</article-title>. <source>Comput Methods Prog Biomed</source>. (<year>2019</year>) <volume>171</volume>:<fpage>19</fpage>&#x2013;<lpage>26</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cmpb.2019.02.011</pub-id>, PMID: <pub-id pub-id-type="pmid">30902247</pub-id></mixed-citation></ref>
<ref id="ref53"><label>53.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Liu</surname><given-names>G</given-names></name> <name><surname>Bandyadka</surname><given-names>S</given-names></name> <name><surname>McCall</surname><given-names>K</given-names></name></person-group>. <article-title>Protocol to analyze 3D neurodegenerative vacuoles in <italic>Drosophila melanogaster</italic></article-title>. <source>STAR Protoc.</source> (<year>2024</year>) <volume>5</volume>:<fpage>103017</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.xpro.2024.103017</pub-id>, PMID: <pub-id pub-id-type="pmid">38635393</pub-id></mixed-citation></ref>
<ref id="ref54"><label>54.</label><mixed-citation publication-type="other"><person-group person-group-type="author"><name><surname>Matsliah</surname><given-names>A</given-names></name> <name><surname>Sterling</surname><given-names>A</given-names></name> <name><surname>Dorkenwald</surname><given-names>S</given-names></name> <name><surname>Kuehner</surname><given-names>K</given-names></name> <name><surname>Morey</surname><given-names>R</given-names></name> <name><surname>Seung</surname><given-names>H</given-names></name> <etal/></person-group>. <article-title>Codex: connectome data explorer</article-title> (<year>2023</year>). doi: <pub-id pub-id-type="doi">10.13140/RG.2.2.35928.67844</pub-id> (preprint).</mixed-citation></ref>
<ref id="ref55"><label>55.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Lee</surname><given-names>KH</given-names></name> <name><surname>Cha</surname><given-names>M</given-names></name> <name><surname>Lee</surname><given-names>BH</given-names></name></person-group>. <article-title>Crosstalk between neuron and glial cells in oxidative injury and neuroprotection</article-title>. <source>Int J Mol Sci</source>. (<year>2021</year>) <volume>22</volume>:<fpage>13315</fpage>. doi: <pub-id pub-id-type="doi">10.3390/ijms222413315</pub-id>, PMID: <pub-id pub-id-type="pmid">34948108</pub-id></mixed-citation></ref>
<ref id="ref56"><label>56.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Hascup</surname><given-names>ER</given-names></name> <name><surname>Sime</surname><given-names>LN</given-names></name> <name><surname>Peck</surname><given-names>MR</given-names></name> <name><surname>Hascup</surname><given-names>KN</given-names></name></person-group>. <article-title>Amyloid-&#x03B2;42 stimulated hippocampal lactate release is coupled to glutamate uptake</article-title>. <source>Sci Rep</source>. (<year>2022</year>) <volume>12</volume>:<fpage>2775</fpage>. doi: <pub-id pub-id-type="doi">10.1038/s41598-022-06637-2</pub-id>, PMID: <pub-id pub-id-type="pmid">35177691</pub-id></mixed-citation></ref>
<ref id="ref57"><label>57.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Mohammad</surname><given-names>F</given-names></name> <name><surname>Aryal</surname><given-names>S</given-names></name> <name><surname>Ho</surname><given-names>J</given-names></name> <name><surname>Stewart</surname><given-names>JC</given-names></name> <name><surname>Norman</surname><given-names>NA</given-names></name> <name><surname>Tan</surname><given-names>TL</given-names></name> <etal/></person-group>. <article-title>Ancient anxiety pathways influence Drosophila defense behaviors</article-title>. <source>Curr Biol</source>. (<year>2016</year>) <volume>26</volume>:<fpage>981</fpage>&#x2013;<lpage>6</lpage>. doi: <pub-id pub-id-type="doi">10.1016/j.cub.2016.02.031</pub-id>, PMID: <pub-id pub-id-type="pmid">27020741</pub-id></mixed-citation></ref>
<ref id="ref58"><label>58.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Showell</surname><given-names>SS</given-names></name> <name><surname>Martinez</surname><given-names>Y</given-names></name> <name><surname>Gondolfo</surname><given-names>S</given-names></name> <name><surname>Boppana</surname><given-names>S</given-names></name> <name><surname>Lawal</surname><given-names>HO</given-names></name></person-group>. <article-title>Overexpression of the vesicular acetylcholine transporter disrupts cognitive performance and causes age-dependent locomotion decline in <italic>Drosophila</italic></article-title>. <source>Mol Cell Neurosci</source>. (<year>2020</year>) <volume>105</volume>:<fpage>103483</fpage>. doi: <pub-id pub-id-type="doi">10.1016/j.mcn.2020.103483</pub-id>, PMID: <pub-id pub-id-type="pmid">32217162</pub-id></mixed-citation></ref>
<ref id="ref59"><label>59.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Spasi&#x0107;</surname><given-names>MR</given-names></name> <name><surname>Callaerts</surname><given-names>P</given-names></name> <name><surname>Norga</surname><given-names>KK</given-names></name></person-group>. <article-title><italic>Drosophila</italic> alicorn is a neuronal maintenance factor protecting against activity-induced retinal degeneration</article-title>. <source>J Neurosci</source>. (<year>2008</year>) <volume>28</volume>:<fpage>6419</fpage>&#x2013;<lpage>29</lpage>. doi: <pub-id pub-id-type="doi">10.1523/JNEUROSCI.1646-08.2008</pub-id>, PMID: <pub-id pub-id-type="pmid">18562613</pub-id></mixed-citation></ref>
<ref id="ref60"><label>60.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Dorkenwald</surname><given-names>S</given-names></name> <name><surname>McKellar</surname><given-names>CE</given-names></name> <name><surname>Macrina</surname><given-names>T</given-names></name> <name><surname>Kemnitz</surname><given-names>N</given-names></name> <name><surname>Lee</surname><given-names>K</given-names></name> <name><surname>Lu</surname><given-names>R</given-names></name> <etal/></person-group>. <article-title>FlyWire: online community for whole-brain connectomics</article-title>. <source>Nat Methods</source>. (<year>2022</year>) <volume>19</volume>:<fpage>119</fpage>&#x2013;<lpage>28</lpage>. doi: <pub-id pub-id-type="doi">10.1038/s41592-021-01330-0</pub-id>, PMID: <pub-id pub-id-type="pmid">34949809</pub-id></mixed-citation></ref>
<ref id="ref61"><label>61.</label><mixed-citation publication-type="journal"><person-group person-group-type="author"><name><surname>Zheng</surname><given-names>Z</given-names></name> <name><surname>Lauritzen</surname><given-names>JS</given-names></name> <name><surname>Perlman</surname><given-names>E</given-names></name> <name><surname>Robinson</surname><given-names>CG</given-names></name> <name><surname>Nichols</surname><given-names>M</given-names></name> <name><surname>Milkie</surname><given-names>D</given-names></name> <etal/></person-group>. <article-title>A complete electron microscopy volume of the brain of adult <italic>Drosophila melanogaster</italic></article-title>. <source>Cell</source>. (<year>2018</year>) <volume>174</volume>:<fpage>730</fpage>&#x2013;<lpage>43</lpage>.<comment>e22</comment>. doi: <pub-id pub-id-type="doi">10.1016/j.cell.2018.06.019</pub-id>, PMID: <pub-id pub-id-type="pmid">30033368</pub-id></mixed-citation></ref>
</ref-list><fn-group><fn id="fn0001" fn-type="custom" custom-type="edited-by"><p>Edited by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/214219/overview">Paul Ben Ishai</ext-link>, Ariel University, Israel</p></fn>
<fn id="fn0002" fn-type="custom" custom-type="reviewed-by"><p>Reviewed by: <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/143932/overview">Sareesh Naduvil Narayanan</ext-link>, University of Central Lancashire, United Kingdom</p><p><ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/223788/overview">Pere Garriga</ext-link>, Universitat Politecnica de Catalunya, Spain</p></fn></fn-group></back>
</article>