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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Phys.</journal-id>
<journal-title>Frontiers in Physics</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Phys.</abbrev-journal-title>
<issn pub-type="epub">2296-424X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1086809</article-id>
<article-id pub-id-type="doi">10.3389/fphy.2022.1086809</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physics</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Weak magnetic fields modulate superoxide to control planarian regeneration</article-title>
<alt-title alt-title-type="left-running-head">Kinsey et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fphy.2022.1086809">10.3389/fphy.2022.1086809</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Kinsey</surname>
<given-names>Luke J.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2036435/overview"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Van Huizen</surname>
<given-names>Alanna V.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2036627/overview"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Beane</surname>
<given-names>Wendy S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/587113/overview"/>
</contrib>
</contrib-group>
<aff id="aff1">
<sup>1</sup>
<institution>Department of Biological Sciences</institution>, <institution>Western Michigan University</institution>, <addr-line>Kalamazoo</addr-line>, <addr-line>MI</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Hematology</institution>, <institution>St. Jude Children&#x2019;s Research Hospital</institution>, <addr-line>Memphis</addr-line>, <addr-line>TN</addr-line>, <country>United States</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1755776/overview">Leonardo Makinistian</ext-link>, Instituto de F&#xed;sica Aplicada (UNSL-CONICET), Argentina</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2090409/overview">Luci&#xe1;n Zastko</ext-link>, Cancer Research Institute (SAS), Slovakia</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2010619/overview">Priyanka Shaw</ext-link>, University of Antwerp, Belgium</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Wendy S. Beane, <email>wendy.beane@wmich.edu</email>
</corresp>
<fn fn-type="other">
<p>This article was submitted to Biophysics, a section of the journal Frontiers in Physics</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>04</day>
<month>01</month>
<year>2023</year>
</pub-date>
<pub-date pub-type="collection">
<year>2022</year>
</pub-date>
<volume>10</volume>
<elocation-id>1086809</elocation-id>
<history>
<date date-type="received">
<day>01</day>
<month>11</month>
<year>2022</year>
</date>
<date date-type="accepted">
<day>15</day>
<month>12</month>
<year>2022</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2023 Kinsey, Van Huizen and Beane.</copyright-statement>
<copyright-year>2023</copyright-year>
<copyright-holder>Kinsey, Van Huizen and Beane</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Reactive oxygen species (ROS) signaling regulates cell behaviors and tissue growth in development, regeneration, and cancer. Commonly, ROS are modulated pharmacologically, which while effective comes with potential complications such as off-target effects and lack of drug tolerance. Thus, additional non-invasive therapeutic methods are necessary. Recent advances have highlighted the use of weak magnetic fields (WMFs, &#x3c;1&#xa0;mT) as one promising approach. We previously showed that 200&#xa0;&#x3bc;T WMFs inhibit ROS formation and block planarian regeneration. However, WMF research in different model systems at various field strengths have produced a range of results that do not fit common dose response curves, making it unclear if WMF effects are predictable. Here, we test hypotheses based on spin state theory and the radical pair mechanism, which outlines how magnetic fields can alter the formation of radical pairs by changing electron spin states. This mechanism suggests that across a broad range of field strengths (0&#x2013;900&#xa0;&#x3bc;T) some WMF exposures should be able to inhibit while others promote ROS formation in a binary fashion. Our data reveal that WMFs can be used for directed manipulation of stem cell proliferation, differentiation, and tissue growth in predictable ways for both loss and gain of function during regenerative growth. Furthermore, we examine two of the most common ROS signaling effectors, hydrogen peroxide and superoxide, to begin the identification and elucidation of the specific molecular targets by which WMFs affect tissue growth. Together, our data reveal that the cellular effects of WMF exposure are highly dependent on ROS, and we identify superoxide as a specific ROS being modulated. Altogether, these data highlight the possibilities of using WMF exposures to control ROS signaling <italic>in vivo</italic> and represent an exciting new area of research.</p>
</abstract>
<kwd-group>
<kwd>planaria</kwd>
<kwd>ROS signaling</kwd>
<kwd>regeneration</kwd>
<kwd>stem cells</kwd>
<kwd>quantum biology</kwd>
<kwd>static weak magnetic fields</kwd>
<kwd>radical pair mechanism</kwd>
<kwd>reactive oxygen species</kwd>
</kwd-group>
<contract-sponsor id="cn001">Western Michigan University<named-content content-type="fundref-id">10.13039/100007159</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Division of Chemical, Bioengineering, Environmental, and Transport Systems<named-content content-type="fundref-id">10.13039/100000146</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Division of Integrative Organismal Systems<named-content content-type="fundref-id">10.13039/100000154</named-content>
</contract-sponsor>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Introduction</title>
<p>Reactive oxygen species (ROS) are a group of oxygen-containing molecules with varying reactivity. Intracellular ROS are typically derived from molecular oxygen (O<sub>2</sub>) and include hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>), the superoxide anion (O<sub>2</sub>
<sup>&#x2212;</sup>), and the hydroxyl radical (<sup>&#x2022;</sup>OH), species which are known to participate in cellular reactions and initiate ROS-mediated signaling [<xref ref-type="bibr" rid="B1">1</xref>]. The mechanics of ROS signaling are complex and based on threshold levels in a context-dependent fashion. For example, low levels of ROS are required for cellular metabolism and homeostasis. In contrast, exceedingly high ROS levels lead to oxidative stress, and thus nonspecific damage to a cell&#x2019;s DNA, protein, and lipid structures [<xref ref-type="bibr" rid="B2">2</xref>, <xref ref-type="bibr" rid="B3">3</xref>]. Threshold increases in ROS can cause imbalances in a cell&#x2019;s redox state, which can even lead to disease states such as cancer and aging [<xref ref-type="bibr" rid="B4">4</xref>]. However, within certain physiological parameters (that are not fully understood), moderate increases in ROS function to modulate traditional cell signaling pathways (termed redox signaling) [<xref ref-type="bibr" rid="B5">5</xref>, <xref ref-type="bibr" rid="B6">6</xref>]. In this way, ROS signaling regulates many important cellular processes, including cell migration, proliferation, apoptosis, and differentiation [<xref ref-type="bibr" rid="B7">7</xref>&#x2013;<xref ref-type="bibr" rid="B9">9</xref>].</p>
<p>Recent findings, including our own, demonstrate that ROS signaling is also critical for driving stem cell-mediated tissue growth [<xref ref-type="bibr" rid="B10">10</xref>&#x2013;<xref ref-type="bibr" rid="B15">15</xref>]. ROS signaling plays a role in cardiomyocyte differentiation, promotes transient stem cell proliferation in mouse skin, and is required for regenerative outgrowth in a myriad of animal model systems [<xref ref-type="bibr" rid="B14">14</xref>&#x2013;<xref ref-type="bibr" rid="B17">17</xref>]. Maintenance of stem cell populations requires careful control of ROS levels, which can direct them to remain quiescent, proliferate, or differentiate depending on concentration [<xref ref-type="bibr" rid="B18">18</xref>]. ROS signaling plays an equally complex role during tumorigenesis. The upregulation of ROS scavengers (antioxidants) is a hallmark of many cancers, functioning to allow tumorigenic cells to bypass apoptosis; however, tumor progression can be later promoted by increased ROS levels, and ROS scavenging has been found to prevent the development and progression of many cancers in cell culture [<xref ref-type="bibr" rid="B19">19</xref>&#x2013;<xref ref-type="bibr" rid="B21">21</xref>].</p>
<p>The data highlight the importance of ROS manipulation as a therapeutic target in interventions where tight control of proliferating cells and tissue growth (such as in regenerative medicine and cancer treatments) is required [<xref ref-type="bibr" rid="B22">22</xref>]. Currently, many of the standard molecular-genetic (pharmacological) approaches to manipulating ROS come with potential therapeutic complications such as drug toxicity. To bypass these issues, research has turned to the use of nanoparticles for targeted delivery; but these efforts have been hampered in part due to patient heterogeneity that interferes with successful distribution and/or function [<xref ref-type="bibr" rid="B23">23</xref>, <xref ref-type="bibr" rid="B24">24</xref>]. Thus, the identification of additional methods to alter ROS levels is warranted for improved care and experimental approaches alike. Recent advances in our understanding of how biological systems interact with electromagnetic radiation suggest there is potential for finding such new approaches to manipulating ROS <italic>in vivo</italic> by using weak magnetic fields (WMFs, &#x3c;1&#xa0;mT), a form of non-ionizing radiation.</p>
<p>A predominant theory for understanding the biological effects of WMF exposures centers on the radical pair mechanism, which has been reviewed in detail [<xref ref-type="bibr" rid="B25">25</xref>&#x2013;<xref ref-type="bibr" rid="B30">30</xref>]. Briefly, theoretical modeling (<xref ref-type="fig" rid="F1">Figure 1A</xref>) suggests that WMFs can modulate radical pairs through changes in the angular momentum of lone electrons (spin state theory). Parent molecules can both dissociate into radical pairs and recombine at given rates. For recombination to occur, the unpaired electrons on the radical pairs must have opposing valence spins. These antiparallel spin states (singlet state) allow for rapid recombination. However, if the spin states are parallel (triplet state), then recombination cannot occur, and radical pairs diffuse away from one another. Modeling indicates some WMF strengths should promote the singlet state and recombination (thereby reducing ROS), while other strengths should promote the triplet state and diffusion (increasing ROS). Overall, these data suggest that in a field-strength dependent manner WMFs might be used for the directed manipulation of ROS.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Controlling Stem Cell-Mediated Tissue Growth. <bold>(A)</bold> Theoretical model. Weak magnetic fields alter electron spins (represented by up or down arrows) <italic>via</italic> the radical pair mechanism, changing reactive oxygen species (ROS) levels. The antiparallel valence spins of the singlet state promote recombination, resulting in less ROS. The parallel spins of the triplet state drive diffusion, increasing ROS. <bold>(B)</bold> ROS signaling pathways. Consensus pathway from the literature for ROS signaling starting with molecular oxygen. Two of the main species known to affect cellular activities are superoxide (O2<sup>-</sup>) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). (SOD &#x3d; superoxide dismutase). <bold>(C)</bold> ROS-mediated proliferation in planarians. Experimentally derived ROS-mediated events during planarian regeneration, where changes in ROS levels affect Heat Shock Protein 70 (Hsp70), which is required for stem cell-mediated tissue growth after injury.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g001.tif"/>
</fig>
<p>However, the extant data on biological effects from WMFs often appears incongruent or contradictory. Exposure to WMFs has been shown to alter apoptosis, necrosis, and proliferation differently depending on tissue type in rat skeletal muscle <italic>versus</italic> renal cells [<xref ref-type="bibr" rid="B31">31</xref>]. Mouse embryonic stem cells exposed to 400&#xa0;&#x3bc;T WMFs had increased levels of ROS and stimulated growth factors [<xref ref-type="bibr" rid="B32">32</xref>]. Fibrosarcoma cells exposed to only 0.2&#x2013;2&#xa0;&#x3bc;T WMFs also increased ROS levels, while conversely exposure to WMFs less than 3&#xa0;&#x3bc;T reduced cell survival of mouse skeletal muscle [<xref ref-type="bibr" rid="B33">33</xref>, <xref ref-type="bibr" rid="B34">34</xref>]. A recent study in planarians suggested that even at the same field strength, changes in frequency can lead to either inhibition, activation, or have no effect on regeneration [<xref ref-type="bibr" rid="B35">35</xref>]. These studies indicate that precise WMF exposures may hold the potential to be used as a novel therapeutic tool to control cell behaviors and alter tissue growth. But for a tool to be useful, it must be capable of inducing predictable effects on cell processes. Unfortunately, the lack of consistency in the methods and tissues/models used for studying WMF effects on tissue growth, combined with the absence of typical pharmacological dose response curves associated with WMF exposures, has made the practical usefulness of WMFs as a tool to manipulate growth unclear.</p>
<p>Previously, we established an animal model system for studying effects from WMF exposures on new tissue growth using the highly regenerative, free-living planarian flatworm <italic>Schmidtea mediterranea</italic>. In this study, we use this model to test several hypotheses based on the radical pair mechanism. Overall, we hypothesize that specific field strengths will predictably alter ROS signaling, suggesting WMFs can be used for the directed manipulation of stem cell behavior <italic>in vivo</italic>. Our first hypothesis is that WMF effects, as per the radical pair mechanism, occur largely through the modulation of radical pairs. This leads to the testable prediction that at different field strengths WMFs will produce opposite effects on ROS levels, resulting in a binary switch from decreased tissue growth to increased tissue growth. A second hypothesis we also test is that the cellular signaling downstream of ROS that controls stem cell proliferation is mediated by changes in H<sub>2</sub>O<sub>2</sub>, a product of O<sub>2</sub> metabolism and a common second messenger in ROS signaling (<xref ref-type="fig" rid="F1">Figure 1B</xref>). These experiments aim to assess the potential for WMFs as a therapy and begin to dissect the mechanisms by which WMFs control stem cell-mediated tissue growth.</p>
<p>Planarians are a powerful model for investigating tissue growth mechanisms, as they can regenerate all tissues including the brain due in part to a massive population of pluripotent adult stem cells [<xref ref-type="bibr" rid="B36">36</xref>]. After a major injury, this stem cell population responds with increased proliferation and migration to the wound site, resulting in a blastema&#x2014;undifferentiated new tissue comprised of stem cell progeny [<xref ref-type="bibr" rid="B37">37</xref>, <xref ref-type="bibr" rid="B38">38</xref>]. Pharmacological inhibition of ROS blocks planarian regeneration, while activation of ROS signaling has been shown to rescue blastema formation [<xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>]. Previously, our own data demonstrated that in planarians ROS signaling is upregulated after injury and induces changes in gene expression that regulate the stem cell proliferation and differentiation required for blastema formation (<xref ref-type="fig" rid="F1">Figure 1C</xref>), all of which were inhibited by exposure to 200&#xa0;&#x3bc;T WMFs [<xref ref-type="bibr" rid="B15">15</xref>]. These experiments also indicated that at a different field strength (<italic>e.g.,</italic> 500&#xa0;&#x3bc;T) tissue growth was instead increased, leading to our current hypothesis that these field strengths are predictably altering growth <italic>via</italic> changes in ROS signaling. Our current experiments reveal that exposure to different WMF strengths can be used to manipulate ROS signaling and stem cell behaviors in a predictable non-linear fashion to either inhibit or activate tissue growth. Furthermore, our data suggest that WMFs alter O<sub>2</sub>
<sup>&#x2212;</sup> and not H<sub>2</sub>O<sub>2</sub> to modulate ROS signaling, providing direction for future studies.</p>
</sec>
<sec sec-type="results" id="s2">
<title>Results</title>
<sec id="s2-1">
<title>WMF effects are consistent with the radical pair mechanism</title>
<p>We experimentally controlled magnetic field exposure during planarian regeneration using a custom &#x3bc;-metal enclosure (MagShield Box) to block external fields combined with Helmholtz coils to produce uniform magnetic fields at specific strengths (<xref ref-type="fig" rid="F2">Figure 2</xref>). To test the hypothesis that different WMFs will produce opposite effects on new tissue growth that occur largely through modulation of radical formation, we examined both ROS accumulation and blastema formation following exposure to a controlled range of WMFs from 0&#xa0;&#x3bc;T to 900&#xa0;&#x3bc;T, in 100&#xa0;&#x3bc;T increments (<xref ref-type="fig" rid="F3">Figure 3</xref>). Controls were exposed to an Earth-normal 45&#xa0;&#x3bc;T WMF, similar in strength to the geomagnetic field (which ranges from 25&#x2013;65&#xa0;&#x3bc;T). Planarian trunk fragments were created by transverse amputation just above and below the pharynx (removing both the head and tail) and regeneration was assessed at the anterior wound site. Trunk fragments were exposed to specific WMF strengths within 5&#xa0;min of amputation and thereafter until analysis. The radical pair mechanism predicts that we should see some field strengths that increase as well as those that decrease ROS levels and regenerative growth.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Setup for Environmentally-Controlled Magnetic Field Exposure. <bold>(A)</bold> Diagram of MagShield Box with Coils. The &#x3bc;-metal enclosure has two chambers separated by a &#x3bc;-metal partition. Coils are stacked on empty, 24-well culture plates (plastic) to position them in the center of each chamber. Left side is the control chamber (set at 45&#xa0;&#x3bc;T), and right side is the experimental chamber. <bold>(B)</bold> Diagram of Helmholtz Coils. Inside the square plexiglass frame, three 35&#xa0;mm Petri dishes hold samples (worms), with additional empty 24-well culture plates used to position Petri dishes in the center of each coil. Orange lines are <italic>Y</italic>-axis coils. Purple lines are <italic>X</italic>-axis coils. (Blue dotted lines are <italic>Z</italic>-axis coils, which were not used in this study). <bold>(C)</bold> Location of Petri Dishes in the Uniform Magnetic Fields Produced. Black arrows show the direction of the <italic>X</italic>-axis magnetic field. Gray arrows show the <italic>Y</italic>-axis field direction. <bold>(D)</bold> Experimental Setup. DC power supplies are positioned to the left of the MagShield Box, shown with door open (door is kept shut during experiments).</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g002.tif"/>
</fig>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Weak Magnetic Fields (WMFs) Predictably Manipulate ROS Levels and Tissue Growth. Effects on planarian regeneration. <bold>(A)</bold> Representative field strength-dependent effects on ROS accumulation at the anterior wound site 1&#xa0;h after injury, where 200&#xa0;&#xb5;T inhibits and 500&#xa0;&#xb5;T increases ROS levels as compared to 45&#xa0;&#xb5;T controls. ROS visualized with a general oxidative stress indicator fluorescent dye (CM-H<sub>2</sub>DCFDA) as a heat map of signal intensity: red/white/green &#x3d; high ROS; blue/black &#x3d; low/none. <bold>(B)</bold> Quantification of <bold>(A)</bold> showing changes in ROS levels (as compared to 45&#xa0;&#xb5;T controls) following exposure to 0&#x2013;900&#xa0;&#xb5;T. n &#x2265; 12 for all strengths. (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0003; 400&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0025; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0047; 900&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.00013). 200 &#xb5;T ROS data previously reported in (15). <bold>(C)</bold> Representative field strength-dependent effects on new tissue (blastema) size. The blastema is demarked by the white, unpigmented region, where 200&#xa0;&#xb5;T inhibits and 500&#xa0;&#xb5;T increases new tissue growth as compared to 45&#xa0;&#xb5;T controls (Earth normal &#x3d; 25&#x2013;65&#xa0;&#xb5;T). Anterior wound site shown at day 3 after injury. Empty arrow &#x3d; inhibition. Solid arrow &#x3d; normal blastema. Double solid arrows &#x3d; increased blastema size. <bold>(D)</bold> Quantification of <bold>(C)</bold> showing changes in blastema size (as compared to 45&#xa0;&#xb5;T controls) after exposure to a range of field strengths from 0&#xa0;&#x2013;900&#xa0;&#xb5;T. Blastema size calculated as percent of entire regenerate size. n &#x2265; 11 for all strengths. (100&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0005; 200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 6.2205e-15; 300&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0056; 400&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0032; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0003; 900&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0123). 0&#x2013;600&#xa0;&#xb5;T blastema data previously reported in (15). For all: Anterior is up. Scale bars &#x3d; 100&#xa0;&#xb5;m. Error bars &#x3d; SEM. Red columns &#x3d; inhibition. Blue columns &#x3d; activation. Grey columns &#x3d; no change. Significance: ANOVA with Tukey&#x2019;s post-hoc. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;<italic>p</italic> &#x3c; 0.01, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g003.tif"/>
</fig>
<p>ROS accumulation was assessed at 1&#xa0;h after injury, when it has been shown that ROS is upregulated at the wound site [<xref ref-type="bibr" rid="B15">15</xref>]. To visualize ROS levels in live regenerates, we used a general oxidative stress indicator dye (CM-H<sub>2</sub>DCFDA) that fluoresces upon ROS activity (<xref ref-type="fig" rid="F3">Figure 3A</xref>). This allowed for the quantification of signal intensities and the statistical comparison of ROS accumulation at each field strength (<xref ref-type="fig" rid="F3">Figure 3B</xref>). Our results show that compared to 45&#xa0;&#x3bc;T controls, exposure to 200&#xa0;&#x3bc;T WMFs prevented injury-induced ROS accumulation, while exposure to 400, 500, and 900&#xa0;&#x3bc;T WMF exposures all caused significant increases in ROS levels. The greatest WMF effects were seen at 200&#xa0;&#x3bc;T for inhibition and 500&#xa0;&#x3bc;T for increased ROS accumulation.</p>
<p>Subsequent new tissue growth was assessed at 3&#xa0;days after amputation, when blastema formation is considered complete [<xref ref-type="bibr" rid="B41">41</xref>]. The blastema is easily recognizable at this stage as white tissue at the wound site, since pigmentation has not yet occurred (<xref ref-type="fig" rid="F3">Figure 3C</xref>). To account for any differences in worm size, blastema size was calculated as a percentage of total regenerate size (<xref ref-type="fig" rid="F3">Figure 3D</xref>). We found that 100&#x2013;400&#xa0;&#x3bc;T exposures decreased blastema size, whereas at both 500 and 900&#xa0;&#x3bc;T we observed the formation of larger than normal blastemas. Similar to our ROS findings, the greatest WMF effects on new tissue growth were seen at 200&#xa0;&#x3bc;T for inhibition and 500&#xa0;&#x3bc;T for increased blastema size. Our results demonstrate that WMFs can either increase or decrease both wound site ROS levels and tissue growth in a field strength-dependent manner.</p>
<p>These data suggest that a threshold potential exists to modulate tissue growth through WMF manipulation of ROS formation. Furthermore, they support 1) the hypothesis that WMF effects are consistent with our theoretical model, and 2) our hypothesis that WMF effects result mainly from the manipulation of ROS signaling. If correct, then we can predict equal and opposite changes in events mediated by ROS signaling, which in planarians includes control of adult stem cell behaviors after injury. Therefore, we next examined the effects of 200 and 500&#xa0;&#x3bc;T WMFs (as representative of our observed effects) on ROS signaling and the resulting behaviors of stem cells during regeneration (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>WMFs Predictably Manipulate ROS-Mediated Stem Cell Behavior. WMF effects (at the anterior wound site) from 200&#xa0;&#xb5;T or 500&#xa0;&#xb5;T exposure, as compared to 45&#xa0;&#xb5;T controls. <bold>(A)</bold> Representative images of stem cell markers and proliferation. Expression of heat shock protein 70 (Hsp70) at 3&#xa0;days after injury (grayscale panels), a marker of ROS signaling during planarian regeneration. Piwi-1 expression at 3&#xa0;days (red panels), a general marker of stem cells. Agat-1 expression at 3&#xa0;days (cyan panels), a marker of late stem cell progeny (descendants). Actively dividing stem cells (mitosis) at 3&#xa0;h (green panels), as revealed by phospho-histone 3 (pH3) labeling. <bold>(B)</bold> Quantification of <bold>(A)</bold> showing changes in expression/mitosis as compared to 45&#xa0;&#xb5;T controls. Hsp70, <italic>n</italic> &#x3d; 11 (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0299; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0491). Piwi-1, <italic>n</italic> &#x2265; 5 (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0008; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0395). Agat-1, <italic>n</italic> &#x2265; 7 (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0038; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0281). Mitosis, <italic>n</italic> &#x2265; 19 (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0005; 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.0003). For all: Anterior is up. Scale bars &#x3d; 50&#xa0;&#xb5;m. Gene expression (mRNA) visualized by fluorescent <italic>in situ</italic> hybridization. Mitotic cells visualized by immunofluorescence. Error bars &#x3d; SEM. Red columns &#x3d; inhibition. Blue columns &#x3d; activation. Significance: Student&#x2019;s <italic>t</italic>-test. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g004.tif"/>
</fig>
<p>At 3&#xa0;days after amputation, we investigated the expression of the chaperone heat shock protein 70 (Hsp70) (<xref ref-type="fig" rid="F4">Figure 4A</xref>, top panels), which is involved in stress responses and cell survival [<xref ref-type="bibr" rid="B42">42</xref>, <xref ref-type="bibr" rid="B43">43</xref>]. In planarians, blastema-associated <italic>Hsp70</italic> expression requires injury-induced ROS, and in turn <italic>Hsp70</italic> upregulation is required for ROS-mediated stem cell responses during regeneration [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B44">44</xref>]. Therefore, at the same time point we also looked at the stem cell population using the general stem cell marker <italic>Piwi</italic>-1, as well as the late stem cell progeny marker <italic>Agat</italic>-1 (<xref ref-type="fig" rid="F4">Figure 4A</xref>, middle panels). Our data showed that as predicted, as compared to controls, 200&#xa0;&#x3bc;T WMFs caused a significant reduction in the expression of all three genes at the wound site, while 500&#xa0;&#x3bc;T WMFs significantly increased expression (<xref ref-type="fig" rid="F4">Figure 4B</xref>). These data demonstrate that WMF exposure can be used to directly inhibit or activate ROS signaling, depending on field strength.</p>
<p>Furthermore, we investigated WMF effects on proliferation at 3&#xa0;h after injury (<xref ref-type="fig" rid="F4">Figure 4A</xref>, bottom panels). In planarians, stem cells have been found to be the only actively dividing cell population. Thus, we examined stem cell proliferation by looking at the presence of phosphorylated Histone H3 (pH3), which labels mitotically active cells. We found that at 200&#xa0;&#x3bc;T there were significantly fewer mitotic cells, while at 500&#xa0;&#x3bc;T there was a significant increase in the number of mitotic cells (<xref ref-type="fig" rid="F4">Figure 4B</xref>). These results are consistent with our prediction that WMFs could both inhibit the activation of stem cell proliferation following injury as well as increase the proliferative response.</p>
<p>Together, our data indicate that exposure to WMFs produces non-stochastic changes that are predictable based on our theoretical principles (<xref ref-type="fig" rid="F1">Figure 1A</xref>), which suggest that different field strengths have opposing effects. Furthermore, the data provide strong evidence that WMF effects on proliferation and tissue growth are consistent with the manipulation of ROS. These results support further investigation into the potential use of WMFs as a tool to alter stem cell activity.</p>
</sec>
<sec id="s2-2">
<title>Weak magnetic fields modulate superoxide levels</title>
<p>The majority of cellular ROS signaling is transduced by either H<sub>2</sub>O<sub>2</sub> or O<sub>2</sub>
<sup>&#x2212;</sup> [<xref ref-type="bibr" rid="B45">45</xref>, <xref ref-type="bibr" rid="B46">46</xref>]. In planarians, both H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> are present at the wound site following injury [<xref ref-type="bibr" rid="B47">47</xref>]. Therefore, we next sought to examine the effects of WMF exposures on these specific species (<xref ref-type="fig" rid="F5">Figure 5</xref>). We hypothesized that WMFs modulate ROS signaling by influencing the formation of H<sub>2</sub>O<sub>2</sub>, since it has been well demonstrated as an ROS mediator of traditional signaling pathways.</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>WMFs Alter Superoxide (O<sub>2</sub>
<sup>&#x2212;</sup>) but not Hydrogen Peroxide (H<sub>2</sub>O<sub>2</sub>) Levels. WMF effects (at the anterior wound site) from 200&#xa0;&#xb5;T or 500&#xa0;&#xb5;T exposure (as compared to 45&#xa0;&#xb5;T controls), as shown at 1&#xa0;h and 2&#xa0;h after injury. <bold>(A)</bold> H<sub>2</sub>O<sub>2</sub> accumulation visualized by peroxy orange 1 live fluorescent dye. Solid arrows &#x3d; peak of accumulation. <bold>(B)</bold> Quantification of <bold>(A)</bold>, showing no change in levels as compared to 45&#xa0;&#xb5;T controls. n &#x2265; 19. n.s. &#x3d; not significant. <bold>(C)</bold> O<sub>2</sub>
<sup>&#x2212;</sup> accumulation visualized by orange 1 live fluorescent dye. Open arrow &#x3d; loss of accumulation. Solid arrow &#x3d; peak of accumulation (note lack of peak at 2&#xa0;h with 200&#xa0;&#xb5;T). Double solid arrows &#x3d; increased accumulation (note lack of increased accumulation at 1&#xa0;h with 500&#xa0;&#xb5;T). <bold>(D)</bold> Quantification of <bold>(C)</bold> showing changes in levels as compared to 45&#xa0;&#xb5;T controls. (At 1&#xa0;h: 200&#xa0;&#xb5;T p &#x3d; 6e-9; at 2&#xa0;h 200&#xa0;&#xb5;T p &#x3d; 2e-7 and 500&#xa0;&#xb5;T <italic>p</italic> &#x3d; 0.00009). For all: Anterior is up. Scale bars &#x3d; 100&#xa0;&#xb5;m. Error bars &#x3d; SEM. Red columns &#x3d; inhibition. Blue columns &#x3d; activation. Grey columns &#x3d; no change. Significance: Student&#x2019;s <italic>t</italic>-test. &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g005.tif"/>
</fig>
<p>To test this, we exposed regenerating planarians to 200 and 500&#xa0;&#x3bc;T WMFs (with 45&#xa0;&#x3bc;T controls) as before, and then examined the levels of H<sub>2</sub>O<sub>2</sub> using the species-specific fluorescent reporter dye peroxy orange 1. Since with our general ROS indicator dye (<xref ref-type="fig" rid="F3">Figure 3</xref>) we observed a peak at 1&#xa0;h after injury, we chose that time point to examine H<sub>2</sub>O<sub>2</sub> levels at the wound site (<xref ref-type="fig" rid="F5">Figure 5A</xref>). However, there were no significant changes in the amount of H<sub>2</sub>O<sub>2</sub> at either 200 or 500&#xa0;&#x3bc;T (<xref ref-type="fig" rid="F5">Figure 5B</xref>). In case there was a time delay in WMF effects specifically on H<sub>2</sub>O<sub>2</sub>, we also tested for effects at 2&#xa0;h after injury but did not observe any significant changes (<xref ref-type="fig" rid="F5">Figures 5A, B</xref>).</p>
<p>We then repeated these same analyses with the O<sub>2</sub>
<sup>&#x2212;</sup> specific fluorescent reporter dye orange 1. The data show that WMFs do alter wound site O<sub>2</sub>
<sup>&#x2212;</sup> levels at both 1 and 2&#xa0;h after injury (<xref ref-type="fig" rid="F5">Figure 5C</xref>). At 1&#xa0;h, 200&#xa0;&#x3bc;T WMF exposure significantly reduced O<sub>2</sub>
<sup>&#x2212;</sup> accumulation, although 500&#xa0;&#x3bc;T produced no change; while at 2&#xa0;h, 200&#xa0;&#x3bc;T reduced and 500&#xa0;&#x3bc;T increased levels of O<sub>2</sub>
<sup>&#x2212;</sup> at the wound site (<xref ref-type="fig" rid="F5">Figure 5D</xref>). This pattern of opposing inhibition and activation of O<sub>2</sub>
<sup>&#x2212;</sup> by WMFs mirrored our results seen from WMF effects on ROS-mediated stem cell activity (<xref ref-type="fig" rid="F4">Figure 4</xref>). However, these results were inconsistent with our hypothesized role for H<sub>2</sub>O<sub>2</sub> in mediating WMF effects during tissue growth.</p>
<p>Studies suggest that H<sub>2</sub>O<sub>2</sub> signaling plays a role during planarian regeneration [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B47">47</xref>]. Therefore, we further investigated the possible differential roles for H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> in mediating the effects of WMFs on planarian regeneration (<xref ref-type="fig" rid="F6">Figure 6</xref>). The general flavoenzyme inhibitor diphenyleneiodonium chloride (DPI) is often used as a pharmacological NADPH oxidase inhibitor [<xref ref-type="bibr" rid="B48">48</xref>, <xref ref-type="bibr" rid="B49">49</xref>]. To confirm a role for H<sub>2</sub>O<sub>2</sub> during regeneration, we examined the ability of exogenous H<sub>2</sub>O<sub>2</sub> (which is cell permeable and readily diffuses across the plasma membrane) to rescue tissue growth following general ROS inhibition by DPI (<xref ref-type="fig" rid="F6">Figures 6A&#x2013;C</xref>). We pre-exposed animals to either 10&#xa0;&#x3bc;M DPI or its vehicle control dimethyl sulfoxide (DMSO), amputated to produce trunk fragments, then allowed fragments to regenerate without drug exposure. At 3&#xa0;days after amputation, blastema formation was significantly inhibited, while the addition of 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> after amputation was able to rescue/overcome this chemical block of ROS (<xref ref-type="fig" rid="F6">Figure 6C</xref>).</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>H<sub>2</sub>O<sub>2</sub> Rescues Chemical, but not WMF, Inhibition of Tissue Growth. New tissue and superoxide levels at the anterior wound site. <bold>(A&#x2013;C)</bold> Blastema size at 3 days post injury after chemical inhibition of ROS by 10&#xa0;&#x3bc;M diphenyleneiodonium (DPI), an NAD(P)H oxidase inhibitor. <bold>(A)</bold> Treatment scheme. Animals were pre-treated for 24&#xa0;h prior to injury, then amputated. All regenerates were returned to untreated worm water, except for DPI &#x2b; H<sub>2</sub>O<sub>2</sub> animals, which were then placed in 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> until scoring. Controls &#x3d; vehicle control (DMSO only). <bold>(B)</bold> Images of new tissue growth. <bold>(C)</bold> Quantification of <bold>(B)</bold>. n &#x2265; 8. (DPI <italic>p</italic> &#x3d; 0.00004). <bold>(D&#x2013;F)</bold> Blastema size at 3 days post injury after WMF inhibition of ROS by 200&#xa0;&#xb5;T. <bold>(D)</bold> Treatment scheme. All animals were exposed to the specified WMF immediately after amputation. 200&#xb5;T &#x2b; H<sub>2</sub>O<sub>2</sub> animals were also placed in 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> at that time. Controls &#x3d; 45&#xa0;&#xb5;T exposure only (Earth normal). <bold>(E)</bold> Images of new tissue growth. <bold>(F)</bold> Quantification of <bold>(E)</bold>. n &#x2265; 23. (200&#xa0;&#xb5;T <italic>p</italic> &#x3d; 7.47e-7; 200&#xb5;T &#x2b; H<sub>2</sub>O<sub>2</sub> p &#x3d; 3e-9). <bold>(G&#x2013;I)</bold> O<sub>2</sub>
<sup>&#x2212;</sup> levels at 2&#xa0;h post injury visualized by orange 1 live fluorescent dye. Note: these animals were not exposed to specific WMFs but placed in a temperature-controlled incubator as standard for the field. <bold>(G)</bold> Treatment scheme. Exogenous H<sub>2</sub>O<sub>2</sub> animals were pre-treated with 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub>, then after injury returned to fresh H<sub>2</sub>O<sub>2</sub> for 1&#xa0;h prior to being placed in O<sub>2</sub>
<sup>&#x2212;</sup> specific dye for another hour. Controls &#x3d; untreated (kept in normal worm water up until dye loading). <bold>(H)</bold> Images of wound site at 2&#xa0;h. <bold>(I)</bold> Quantification of <bold>(H)</bold>. n &#x2265; 10. n.s. &#x3d; not significant. For all: Anterior is up. Scale bars &#x3d; 100&#xa0;&#xb5;m. Solid arrows &#x3d; control blastema size. Open arrows &#x3d; inhibition. Error bars &#x3d; SEM. Dark grey columns &#x3d; control values. Light grey columns &#x3d; inhibition. Significance: Student&#x2019;s <italic>t</italic>-test. &#x2a;&#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.0001.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g006.tif"/>
</fig>
<p>We repeated this H<sub>2</sub>O<sub>2</sub> rescue assay but following inhibition of ROS by 200&#xa0;&#x3bc;T WMF exposure, and without any pre-exposure before amputation (<xref ref-type="fig" rid="F6">Figures 6D&#x2013;F</xref>). Unlike chemical ROS inhibition, we found that WMF inhibition of blastema formation at 3&#xa0;days could not be rescued by the addition of H<sub>2</sub>O<sub>2</sub> (<xref ref-type="fig" rid="F6">Figure 6F</xref>). To further support these findings, we also analyzed the effects of exogenous H<sub>2</sub>O<sub>2</sub> on O<sub>2</sub>
<sup>&#x2212;</sup> levels without experimentally controlled WMF exposure (<xref ref-type="fig" rid="F6">Figures 6G&#x2013;I</xref>). Adding H<sub>2</sub>O<sub>2</sub> alone, even with adding a 24&#xa0;h pre-treatment, failed to significantly affect injury-induced O<sub>2</sub>
<sup>&#x2212;</sup> levels at the wound site at 2&#xa0;h after injury (<xref ref-type="fig" rid="F6">Figure 6I</xref>). As our results reveal that exposure to WMFs was able to alter the injury-induced accumulation of O<sub>2</sub>
<sup>&#x2212;</sup> at this same time point, the data suggest that WMF effects on tissue growth do not occur <italic>via</italic> H<sub>2</sub>O<sub>2</sub>, but instead are O<sub>2</sub>
<sup>&#x2212;</sup>&#x2014;mediated.</p>
</sec>
<sec id="s2-3">
<title>Species-specific ROS accumulations at wounds are temporally distinct</title>
<p>During our investigation into the effects of specific WMFs on H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> levels at the wound site, we noticed there appeared to be a difference in levels of individual species accumulation at 1&#xa0;h <italic>versus</italic> 2&#xa0;h. Furthermore, in these WMF experiments the apparent pattern of peak species accumulation seemed to differ between H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> (<xref ref-type="fig" rid="F5">Figure 5</xref>). To better probe the temporal kinetics of ROS accumulation without confounding variables, we investigated normal H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> levels during tissue growth without experimentally controlled WMF exposure (<xref ref-type="fig" rid="F7">Figure 7</xref>). Our data show that peak H<sub>2</sub>O<sub>2</sub> accumulation after injury occurred at 1&#xa0;h, with a significant decrease by 2&#xa0;h. Conversely, while O<sub>2</sub>
<sup>&#x2212;</sup> was present at the wound site by 1&#xa0;h, O<sub>2</sub>
<sup>&#x2212;</sup> levels did not peak until 2&#xa0;h.</p>
<fig id="F7" position="float">
<label>FIGURE 7</label>
<caption>
<p>Induces Peaks of Hydrogen Peroxide (H<sub>2</sub>O<sub>2</sub>), Superoxide (O<sub>2</sub>
<sup>&#x2212;</sup>), and Peroxynitrite (ONOO<sup>&#x2212;</sup>). Species accumulation at 1&#xa0;h and 2&#xa0;h post injury at the anterior wound site, visualized by species-specific live fluorescent dyes. Note: these animals were not exposed to specific WMFs but placed in a temperature-controlled incubator as standard for the field. <bold>(A)</bold> Normal accumulation of specific oxygen species. H<sub>2</sub>O<sub>2</sub> levels as visualized by peroxy orange 1. O<sub>2</sub>
<sup>&#x2212;</sup> levels as visualized by orange 1. ONOO<sup>&#x2212;</sup> levels as visualized by 2&#x2032;,7&#x2032;-dichlorodihydrofluorescein diacetate (DCDHF). <bold>(B)</bold> Quantification of <bold>(A)</bold> showing H<sub>2</sub>O<sub>2</sub> levels peak at 1&#xa0;h, while both O<sub>2</sub>
<sup>&#x2212;</sup> and ONOO<sup>&#x2212;</sup> levels peak at 2&#xa0;h. H<sub>2</sub>O<sub>2</sub>, n &#x2265; 12 (<italic>p</italic> &#x3d; 0.00012). O<sub>2</sub>
<sup>&#x2212;</sup>, n &#x2265; 9 (<italic>p</italic> &#x3d; 0.0285). ONOO<sup>&#x2212;</sup>, n &#x2265; 12 (<italic>p</italic> &#x3d; 0.0232). For all: Anterior is up. Scale bars &#x3d; 50&#xa0;&#xb5;m. Solid arrows &#x3d; peak of accumulation. Error bars &#x3d; SEM. Dark grey columns &#x3d; peak levels. Light grey columns &#x3d; non-peak levels. Significance: Student&#x2019;s <italic>t</italic>-test. &#x2a;<italic>p</italic> &#x3c; 0.05, &#x2a;&#x2a;&#x2a;<italic>p</italic> &#x3c; 0.001.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g007.tif"/>
</fig>
<p>During metabolism, O<sub>2</sub>
<sup>&#x2212;</sup> is converted into H<sub>2</sub>O<sub>2</sub> by the enzyme superoxide dismutase (SOD), which effectively increases H<sub>2</sub>O<sub>2</sub> levels by reducing O<sub>2</sub>
<sup>&#x2212;</sup> levels (<xref ref-type="fig" rid="F1">Figure 1B</xref>). If this enzymatic pathway is a main driver of ROS signaling during tissue growth, then we would predict that O<sub>2</sub>
<sup>&#x2212;</sup> accumulation would temporally precede H<sub>2</sub>O<sub>2</sub> accumulation. Instead, our data indicate that H<sub>2</sub>O<sub>2</sub> levels peak before O<sub>2</sub>
<sup>&#x2212;</sup> levels peak. Separately from its interaction with SOD, O<sub>2</sub>
<sup>&#x2212;</sup> also interacts with nitric oxide (NO) to form peroxynitrite (ONOO<sup>&#x2212;</sup>), which (like H<sub>2</sub>O<sub>2</sub>) is known to control traditional cell signaling pathways downstream of O<sub>2</sub>
<sup>&#x2212;</sup> levels [<xref ref-type="bibr" rid="B50">50</xref>, <xref ref-type="bibr" rid="B51">51</xref>].</p>
<p>Therefore, we next hypothesized that instead of driving H<sub>2</sub>O<sub>2</sub> formation, O<sub>2</sub>
<sup>&#x2212;</sup> reacts with NO to promote ONOO<sup>&#x2212;</sup> signaling. If supported, we would predict that 1) injury-induced wound site ONOO<sup>&#x2212;</sup> accumulation occurs during planarian regeneration, and 2) the pattern of peak ONOO<sup>&#x2212;</sup> levels would align temporally with our observed peak of O<sub>2</sub>
<sup>&#x2212;</sup>. We used the species-specific fluorescent reporter dye 2&#x2032;,7&#x2032;-dichlorodihydrofluorescein diacetate (DCDHF) to visualize ONOO<sup>&#x2212;</sup> levels during tissue growth (<xref ref-type="fig" rid="F7">Figure 7A</xref>, bottom panels). Our data show that similar to O<sub>2</sub>
<sup>&#x2212;</sup>, while at 1&#xa0;h ONOO<sup>&#x2212;</sup> was present at the wound site, there was a significant increase in ONOO<sup>&#x2212;</sup> levels by 2&#xa0;h (<xref ref-type="fig" rid="F7">Figure 7B</xref>).</p>
<p>Together, these data reveal that the accumulation of H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> are temporally distinct during stem-cell mediated tissue growth. In addition, our results highlight a previously unappreciated role for H<sub>2</sub>O<sub>2</sub>-independent ROS signaling mechanisms during this process. These data indicate that both H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup>/ONOO<sup>&#x2212;</sup> pathways are activated after injury, suggesting that ROS mechanisms during planarian regeneration are reliant on more than one ROS signaling pathway.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s3">
<title>Discussion</title>
<p>The study of ROS across various developmental, regenerative, and disease model systems has resulted in an explosion of data revealing the importance of this highly reactive group of oxygen-containing molecular products. In searching for ways to exert control over the vast array of cellular functions that ROS influences, researchers have turned to exploring multiple modalities. Exposures to moderate and strong magnetic fields are known to affect radicals and biological processes [<xref ref-type="bibr" rid="B52">52</xref>]. However, the research on WMFs (including ours) indicates that field strengths below 1&#xa0;mT have important biological implications as well. While the potential of WMF exposure as a non-invasive means to control stem cell activity and cell proliferation is exciting, enthusiasm for being able to translate this potential into real-world approaches is dampened by the need to address gaps in our fundamental understanding of the mechanisms involved.</p>
<p>The work presented here aims to begin addressing these gaps by testing several simple, but critical, current hypotheses in the field. The first was that WMF effects, while not following the conventional dose response curves of pharmacological treatments, can be predicted based on theoretical models and therefore represent a potential tool for the directed manipulation of cell proliferation and tissue growth. The second hypothesis followed from the first, given our predictions were based on the radical pair mechanism: that the effects of WMFs during tissue growth are due largely to modulation of ROS signaling. This mechanism predicts that at different field strengths WMFs will produce opposite effects on ROS levels, resulting in a non-linear (binary) switch from decreased tissue growth to increased tissue growth. If supported, this could help explain why the data reported in the literature for effects from WMFs can often appear contradictory. Not only are the effects likely context dependent (as are most treatments) but vary by field strength. In addition, WMF effects would also be determined in part by the different outcomes associated with individual threshold levels for free radicals such as ROS and reactive nitrogen species (RNS; another class of molecules involved in cell signaling), which have both been implicated in a wide array of biological systems [<xref ref-type="bibr" rid="B53">53</xref>, <xref ref-type="bibr" rid="B54">54</xref>].</p>
<p>Our data demonstrate that consistent with the radical pair mechanism, the effects of WMFs across a range of field strengths can be predicted by the known outcomes of ROS signaling at given threshold levels. Thus, unlike many molecular-genetic tools, WMFs can be used to direct biological outcomes for both loss- and gain-of-function depending on the field strength used. Our data show that exposure to 500&#xa0;&#x3bc;T WMFs increased ROS accumulation, resulting in upregulated gene expression, increased proliferation, and expansion of stem cell and progeny cell populations&#x2014;all of which result in increased tissue growth. And (as further predicted by our theoretical model) exposure to 200&#xa0;&#x3bc;T resulted in the opposite effect, blocking stem cell-mediated new growth as a result of inhibiting ROS accumulation after injury.</p>
<p>WMFs have been shown to alter ROS levels and cell behaviors <italic>in vitro</italic> under context-specific circumstances, and these effects are often attributed to the radical pair mechanism [<xref ref-type="bibr" rid="B55">55</xref>]. For example, WMF strengths ranging from 0 to 600&#xa0;&#x3bc;T were shown to either inhibit or promote growth and ROS levels in fibrocarcinoma cell culture depending on field strength [<xref ref-type="bibr" rid="B56">56</xref>]. Both RNS and ROS signaling are important regulators of stem cells, proliferation, cell migration, and tissue growth, where they can act as extracellular chemical cues as well as intracellular second messengers [<xref ref-type="bibr" rid="B57">57</xref>, <xref ref-type="bibr" rid="B58">58</xref>]. For example, in bone marrow stem cells it was found that the addition of exogenous H<sub>2</sub>O<sub>2</sub> prevented proliferation and differentiation [<xref ref-type="bibr" rid="B59">59</xref>], while an earlier study on RNS signaling showed that NO plays a critical role in cell differentiation [<xref ref-type="bibr" rid="B60">60</xref>].</p>
<p>During regeneration specifically, many studies (including in axolotl, zebrafish, <italic>Xenopus</italic>, and planarians) have identified ROS signaling as necessary to drive regenerative outgrowth [<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B61">61</xref>, <xref ref-type="bibr" rid="B62">62</xref>]. Others have shown that ROS is able to rescue pharmacologically inhibited regeneration, including a study in zebrafish that found exogenous H<sub>2</sub>O<sub>2</sub> was sufficient to rescue heart regeneration [<xref ref-type="bibr" rid="B63">63</xref>]. For the present work, we hypothesized that WMF effects on stem cells were mediated by H<sub>2</sub>O<sub>2</sub> specifically. There is ample evidence that H<sub>2</sub>O<sub>2</sub> signaling plays an active role in planarian regeneration. H<sub>2</sub>O<sub>2</sub> is upregulated at all wound sites within the first hour [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B47">47</xref>]. The ROS inhibitor DPI inhibits both blastema formation and wound site H<sub>2</sub>O<sub>2</sub> accumulation [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B39">39</xref>, <xref ref-type="bibr" rid="B40">40</xref>]. Furthermore, exogenous H<sub>2</sub>O<sub>2</sub> has been shown to rescue regeneration in planarians with inhibited extracellular regulated kinase (ERK) signaling [<xref ref-type="bibr" rid="B40">40</xref>].</p>
<p>We were surprised to find that the data were not consistent with our hypothesis but instead indicate that O<sub>2</sub>
<sup>&#x2212;</sup> mediates our observed WMF effects. These results do not contradict an endogenous role for H<sub>2</sub>O<sub>2</sub> during planarian regeneration. Instead, our findings suggest that 1) there is a previously unrecognized role for O<sub>2</sub>
<sup>&#x2212;</sup> signaling during planarian regeneration, and 2) that WMFs manipulate stem cell activity by modulating levels of O<sub>2</sub>
<sup>&#x2212;</sup> (<xref ref-type="fig" rid="F8">Figure 8</xref>). Interestingly, data from our previous work support these findings [<xref ref-type="bibr" rid="B15">15</xref>]. There, we used RNA interference to knockdown superoxide dismutase (SOD), an enzyme that converts O<sub>2</sub>
<sup>&#x2212;</sup> into H<sub>2</sub>O<sub>2</sub> [<xref ref-type="bibr" rid="B66">66</xref>], to rescue blastema growth in 200&#xa0;&#x3bc;T exposed regenerates by increasing ROS levels. This loss of SOD not only rescued regeneration but in controls also resulted in increased blastema sizes [<xref ref-type="bibr" rid="B15">15</xref>], similar to our 500&#xa0;&#x3bc;T WMF exposures. Importantly, loss of the SOD enzyme increases O<sub>2</sub>
<sup>&#x2212;</sup> levels at the expense of H<sub>2</sub>O<sub>2</sub> levels. This provides support for our conclusion that the processes being affected by WMFs are not mediated by H<sub>2</sub>O<sub>2</sub>, highlighting the importance of O<sub>2</sub>
<sup>&#x2212;</sup> as a signaling molecule during regeneration.</p>
<fig id="F8" position="float">
<label>FIGURE 8</label>
<caption>
<p>WMFs Modulate Stem Cell Behavior Via the Pleiotropic Signaling Molecule, Superoxide (O<sub>2</sub>
<sup>&#x2212;</sup>). <bold>(A)</bold> Cell signaling pathways downstream of oxygen containing molecules and their relationship to O<sub>2</sub>
<sup>&#x2212;</sup>. Note: although H<sub>2</sub>O<sub>2</sub> signaling and O<sub>2</sub>
<sup>&#x2212;</sup>/ONOO<sup>&#x2212;</sup> signaling are regulated independently, there can be tissue/organ/organism-specific crosstalk between them. MAPK (mitogen activated protein kinase) signaling includes: ERK 1/2 (extracellular regulated kinase 1/2), p38, and JNK (c-Jun-N terminal kinase). Other effectors include: PI3K/AKT (phosphatidylinositol-3-kinase/Akt serine/threonine kinase family) signaling; PI3K/AKT (phosphatidylinositol-3-kinase/Akt serine-threonine kinase family) signaling; cyclic GMP-dependent kinases, like PKG-1 (protein kinase G-1); protein tyrosine phosphatases (PTPs); the serine/threonine phosphatase PP1 (protein phosphatase 1); the protein and lipid phosphatase pTEN (phosphatase and tensin homolog deleted on chromosome 10); and the JAK-STAT (janus kinase-signal transducer and activator of transcription) pathway member STAT3. For more information, please see reviews of O<sub>2</sub>
<sup>&#x2212;</sup> metabolism [<xref ref-type="bibr" rid="B64">64</xref>]<bold>,</bold> ONOO<sup>&#x2212;</sup> signaling [<xref ref-type="bibr" rid="B65">65</xref>], and H<sub>2</sub>O<sub>2</sub> signaling O<sub>2</sub>
<sup>&#x2212;</sup> [<xref ref-type="bibr" rid="B45">45</xref>]. <bold>(B)</bold> Graphical summary of our WMF experimental data. Relative changes in H<sub>2</sub>O<sub>2</sub> (orange) and O<sub>2</sub>
<sup>&#x2212;</sup> (blue) values after WMF exposures (see data <xref ref-type="fig" rid="F5">Figure 5</xref>). Note that WMFs only affect O<sub>2</sub>
<sup>&#x2212;</sup> levels. <bold>(C)</bold> Graphical summary of normal accumulation of oxygen containing molecules after injury. Relative changes in H<sub>2</sub>O<sub>2</sub> (orange), O<sub>2</sub>
<sup>&#x2212;</sup> (blue), and ONOO<sup>&#x2212;</sup> (dashed purple) during planarian regeneration in the absence of experimentally-controlled WMF exposure (see data <xref ref-type="fig" rid="F7">Figure 7</xref>). Note that O<sub>2</sub>
<sup>&#x2212;</sup> and ONOO<sup>&#x2212;</sup> both peak 1&#xa0;h after H<sub>2</sub>O<sub>2</sub> peaks.</p>
</caption>
<graphic xlink:href="fphy-10-1086809-g008.tif"/>
</fig>
<p>Both O<sub>2</sub>
<sup>&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> are known to transduce ROS signaling, with each independently regulating downstream signaling pathways (<xref ref-type="fig" rid="F8">Figure 8A</xref>). Several oxygen- and nitrogen-containing molecules can act as second messengers, which typically transduce extracellular signals into a cellular response, including NO and ONOO<sup>&#x2212;</sup>. H<sub>2</sub>O<sub>2</sub> acts as a second messenger to directly interact with downstream pathway members, while O<sub>2</sub>
<sup>&#x2212;</sup> can signal by either oxidizing proteins directly or by interacting with NO to form ONOO<sup>&#x2212;</sup> [<xref ref-type="bibr" rid="B67">67</xref>]. Cellular O<sub>2</sub>
<sup>&#x2212;</sup> production occurs as a result of electron leakage from the mitochondrial electron transport chain, as well as through decoupled endothelial nitric oxide synthase (eNOS) reactions [<xref ref-type="bibr" rid="B64">64</xref>]. Moreover, coupled eNOS reactions are one major source of intracellular NO, which is required for the production of ONOO<sup>&#x2212;</sup> [<xref ref-type="bibr" rid="B51">51</xref>]. While O<sub>2</sub>
<sup>&#x2212;</sup> can lead to the production of both ONOO<sup>&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub>, the formation of ONOO- <italic>via</italic> a NO is kinetically favored over the enzymatic conversation of O<sub>2</sub>
<sup>&#x2212;</sup> to H<sub>2</sub>O<sub>2</sub> by SOD [<xref ref-type="bibr" rid="B68">68</xref>].</p>
<p>ONOO- signaling is known to be upstream of cell fate decisions; in neural stem and progenitor cell populations ONOO- has been shown to regulate stem cell renewal and proliferation [<xref ref-type="bibr" rid="B69">69</xref>, <xref ref-type="bibr" rid="B70">70</xref>]. While our data did not reveal any regulation of O<sub>2</sub>
<sup>&#x2212;</sup> levels by H<sub>2</sub>O<sub>2</sub>, crosstalk between the two pathways does exist. In fact, the inactivation of SOD and thus reduced production of H<sub>2</sub>O<sub>2</sub> occurs as a direct result of ONOO<sup>&#x2212;</sup> formation after a NO and O<sub>2</sub>
<sup>&#x2212;</sup> reaction [<xref ref-type="bibr" rid="B71">71</xref>]. Our data indicate that both O<sub>2</sub>
<sup>&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> mediate ROS signaling during planarian regeneration, but that WMFs affect O<sub>2</sub>
<sup>&#x2212;</sup> signaling specifically. This is reinforced by our finding that following injury the peak of H<sub>2</sub>O<sub>2</sub> is WMF insensitive, whereas the peak of O<sub>2</sub>
<sup>&#x2212;</sup> can be inhibited by 200&#xa0;&#x3bc;T and increased by 500&#xa0;&#x3bc;T WMFs (<xref ref-type="fig" rid="F8">Figure 8B</xref>). Furthermore, our data demonstrate that these peaks are temporally distinct, with peak H<sub>2</sub>O<sub>2</sub> levels occurring at 1&#xa0;h after injury and peak levels of both O<sub>2</sub>
<sup>&#x2212;</sup> and ONOO<sup>&#x2212;</sup> occur subsequently at 2&#xa0;h after injury (<xref ref-type="fig" rid="F8">Figure 8C</xref>).</p>
<p>This temporal shift in species&#x2019; peaks suggest that there may be a difference in the temporal requirement for H<sub>2</sub>O<sub>2</sub> <italic>versus</italic> O<sub>2</sub>
<sup>&#x2212;</sup>/ONOO<sup>&#x2212;</sup> signaling. This is supported by our findings that peak O<sub>2</sub>
<sup>&#x2212;</sup>/ONOO<sup>&#x2212;</sup> levels occur <italic>after</italic> H<sub>2</sub>O<sub>2</sub> levels peak. In further support of this, our previous work demonstrated that 200&#xa0;&#x3bc;T WMF exposures are still able to inhibit tissue growth if the start of the exposure is delayed until after the H<sub>2</sub>O<sub>2</sub> peak [<xref ref-type="bibr" rid="B15">15</xref>]. These results demonstrate that presence of the 1&#xa0;h post injury H<sub>2</sub>O<sub>2</sub> peak is not able to rescue regeneration with WMF inhibition of tissue growth. Together, the data suggest that injury-induced H<sub>2</sub>O<sub>2</sub> signaling may play an earlier role during tissue growth (such as during initiation of regeneration), while O<sub>2</sub>
<sup>&#x2212;</sup>/ONOO<sup>&#x2212;</sup> signaling functions independently at later time points (for example, as a propagation signal to maintain growth). This is a future direction that we will be investigating.</p>
<p>Although the studies presented here did not address the role of cell migration on WMF effects during tissue growth, it is interesting to note that the migration of planarian stem cells and their progeny to the wound site and into the forming blastema does occur [<xref ref-type="bibr" rid="B72">72</xref>, <xref ref-type="bibr" rid="B73">73</xref>]. While wound closure is typically completed by 1&#xa0;h post injury, migration to the wound site is known to occur later and be sustained during blastema formation. ROS in general and superoxide specifically have been shown to promote cell migration in multiple other contexts [<xref ref-type="bibr" rid="B74">74</xref>&#x2013;<xref ref-type="bibr" rid="B76">76</xref>], which suggests the possibility that in planarians WMF effects might potentially include changes in ROS-mediated cell migration. However, since superoxide regulation of cell migration has commonly been shown to occur <italic>via</italic> SOD-induced increases in H<sub>2</sub>O<sub>2</sub> signaling [<xref ref-type="bibr" rid="B77">77</xref>, <xref ref-type="bibr" rid="B78">78</xref>], and since RNS signaling has been shown to be a negative regulator of cell migration [<xref ref-type="bibr" rid="B79">79</xref>, <xref ref-type="bibr" rid="B80">80</xref>], this area of inquiry would require a great deal more investigation.</p>
<p>RNS have emerged as vital components of the wound healing process, which occurs prior to and is closely tied to tissue regeneration in many species [<xref ref-type="bibr" rid="B81">81</xref>, <xref ref-type="bibr" rid="B82">82</xref>]. For example, NO has been shown to enhance wound healing in diabetic chronic wounds by accelerating cell proliferation and migration after injury [<xref ref-type="bibr" rid="B83">83</xref>], and as such NO donors are promising candidates for use in hydrogels to treat wounds [<xref ref-type="bibr" rid="B84">84</xref>]. However, like ROS, both too much and too little RNS can be harmful. And while both ROS and RNS have been shown to play roles during cell proliferation and new tissue growth, the mechanisms of RNS signaling during regeneration are much less well understood [<xref ref-type="bibr" rid="B85">85</xref>, <xref ref-type="bibr" rid="B86">86</xref>]. Although a recent study has demonstrated a role for NO during zebrafish fin regeneration [<xref ref-type="bibr" rid="B87">87</xref>], the role of RNS in the regenerative process is still largely uncharacterized and its role during planarian regeneration is currently unknown. Given the potential, based on the radical pair mechanism, for WMF interactions with RNS signaling during tissue growth, this is a promising area for further studies.</p>
<p>Moving forward, elucidation of the underling mechanisms governing the behavior of quantum phenomena in biological systems will be vital. Mounting evidence on the effects of WMFs highlight the possibilities for exposures to elicit control over disease states <italic>via</italic> ROS. In cancer research, ROS are of increasing interest as a therapeutic target and data suggest tumor cells may be more sensitive to minor changes in ROS levels than other cell types [<xref ref-type="bibr" rid="B88">88</xref>, <xref ref-type="bibr" rid="B89">89</xref>]. In the immune system, upregulation of ROS is essential to host defenses against bacterial infection, where neutrophils release high levels of ROS at the site of infection [<xref ref-type="bibr" rid="B90">90</xref>]. Furthermore, autoimmune diseases, such as multiple sclerosis, are associated with significantly increased ROS levels, which are thought to participate in provoking the autoimmune response [<xref ref-type="bibr" rid="B91">91</xref>]. Therefore, research into the mechanisms that govern the effects of WMFs on biological systems holds the potential to unlock new and innovative therapies in areas of regenerative medicine, cancer research, and more.</p>
</sec>
<sec sec-type="methods" id="s4">
<title>Methods</title>
<sec id="s4-1">
<title>Animal care and amputations</title>
<p>The asexual clonal line of <italic>Schmidtea mediterranea</italic> (CIW4) was maintained in the dark at 18&#xa0;C. Planarians were kept in ultrapure Type 1 water with Instant Ocean salts at 0.5&#xa0;g/L (worm water). Animals were fed every third week with liver paste processed from a whole calf liver (antibiotic and hormone free) obtained from Creekstone Farms (Arkansas City, KS). Liver paste was never frozen or thawed more than once before feedings. Worms 2&#x2013;5&#xa0;mm in length were used for all experiments and worms were starved at least 1&#xa0;week before use. Amputations were done as previously described [<xref ref-type="bibr" rid="B92">92</xref>] with a dissecting microscope on a custom-made cooling Peltier plate. Trunk fragments were produced <italic>via</italic> transverse amputation just anterior and posterior to the pharynx, with cuts made at a 90 degree angle to the sagittal plane for consistency in wounding. All untreated controls were held according to field standards in a biological oxygen demand incubator (VWR) at 18&#xa0;C in the dark.</p>
</sec>
<sec id="s4-2">
<title>Magnetic field exposures</title>
<p>Experimentally-controlled static WMF exposures were done with custom-built triaxial Helmholtz coils in a &#x3bc;-metal enclosure (MagShield box) to block external magnetic fields as previously described [<xref ref-type="bibr" rid="B15">15</xref>]. Direct electric current to Helmholtz coils was supplied by DC power sources (Mastech HY3005D-3) and was fed through both <italic>x</italic> and <italic>y</italic> axis coils to produce a uniform magnetic field. The MagShield box was kept in a temperature-controlled room (20&#xa0;C). Animals were placed in either 35 or 60&#xa0;mm Petri dishes in worm water (or in specific media as described in individual assays) in the center of each Helmholtz coil. Magnetic field exposures were performed in the dark always with one coil set at 45&#xa0;&#x3bc;T (Earth normal average for the geomagnetic field) separated by a &#x3bc;-metal partition from the other side, where a second coil was set at indicated experimental field strengths from 0 to 900&#xa0;&#x3bc;T. Before and at the end of each experiment field strengths were confirmed using either a gauss or mG&#xa0;m (AlphaLab models GM1-HS or MGM). Unless otherwise specified, all planarians were exposed to WMFs within 5&#xa0;min of amputation and then continuously until scoring and imaging at the indicated time. For <xref ref-type="fig" rid="F3">Figure 3D</xref>: total experimental replicates for blastema growth assays were n &#x2265; 1, with total biological replicates for each condition as follows: 45&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 164; 0&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 19; 100&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 28; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 25; 300&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 18; 400&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 18; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 17; 600&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 16; 700&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 14; 800&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 11; 900&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 18.</p>
</sec>
<sec id="s4-3">
<title>Detection of reactive oxygen species and oxygen-containing molecules</title>
<p>General ROS and individual species were visualized by the use of cell-permeant live fluorescent reporter dyes. All images were taken ventrally, and animals were kept in the dark while loading dye. For detecting general ROS levels, the oxidative stress indicator dye, 5-(and-6-)-chloromethyl-2&#x27;,7&#x2032;-dichlorodihydrofluorescein diacetate (CM-H<sub>2</sub>DCFDA; Molecular Probes C6827; excitation, 470&#xa0;nm; emission, 525&#xa0;nm) was used. Intact planarians were pre-exposed to the specified WMFs (see above) for 23&#xa0;h&#x2a;, at which time they were amputated to produce trunk fragments. Fragments were placed in 25&#xa0;&#x3bc;M CM-H<sub>2</sub>DCFDA (from 10&#xa0;mM DMSO stock) and returned to the specified WMF for 1&#xa0;h, at which time regenerates were rinsed 3X in worm water and imaged. Total experimental replicates were <italic>n</italic> &#x2265; 1. Total biological replicates were: 45&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 189; 0&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 19; 100&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 17; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 24; 300&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 23; 400&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 26; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 12; 600&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 20; 700&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 22; 800&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 21; 900&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 23. (&#x2a;Note, we have since determined that WMF pre-exposure is not required to obtain the observed WMF effects; see for example our H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2212;</sup> WMF data in <xref ref-type="fig" rid="F5">Figure 5</xref> and <xref ref-type="fig" rid="F6">Figure 6D&#x2013;F</xref>)</p>
<p>This protocol was used for the remaining dyes, with the following exceptions: H<sub>2</sub>O<sub>2</sub> was detected by soaking newly amputated fragments (with no WMF pre-exposure) in 20&#xa0;&#x3bc;M peroxy orange 1 (Sigma SML0688; from 1&#xa0;mM DMSO stock; excitation, 470&#xa0;nm; emission, 525&#xa0;nm) plus the specified WMF for 1-h prior to imaging. O<sub>2</sub>
<sup>&#x2212;</sup> was detected by soaking fragments (with no WMF pre-exposure) for 1-h prior to imaging in 2&#xa0;&#x3bc;M orange 1 (Enzo Life Sciences ENZ-51012; from 5&#xa0;mM dimethylformamide stock; excitation, 550&#xa0;nm; emission, 620&#xa0;nm). For &#x201c;normal&#x201d; (untreated/unexposed) experiments, peroxy orange 1 and orange 1 dye were used as above, but without concurrent WMF exposure. ONOO<sup>&#x2212;</sup> was detected by soaking regenerating fragments in 10&#xa0;&#x3bc;M 2&#x2032;,7&#x2032;-dichlorodihydrofluorescein diacetate (DCDHF) for 1-h prior to imaging (Enzo life sciences ALX-610-022-M050; from 10&#xa0;mM dimethylformamide stock; excitation 502&#xa0;nm; emission 523&#xa0;nm). For 2&#xa0;h timepoints, fragments were cut and allowed to regenerate for 1&#xa0;h, at which time animals were soaked in dye for another hour before rinsing and imaging. For all time points, animals were rinsed in ice cold worm water 3X to preserve fluorescence. Total experimental replicates for all were <italic>n</italic> &#x2265; 2. Total biological replicates for O<sub>2</sub>
<sup>&#x2212;</sup> were: 45&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 42; 200&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 25; 500&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 20; untreated at 1&#xa0;h <italic>n</italic> &#x3d; 9; 45&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 53; 200&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 21; 500&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 20; untreated at 2&#xa0;h, <italic>n</italic> &#x3d; 18. Total biological replicates for H<sub>2</sub>O<sub>2</sub> were: 45&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 47; 200&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 19; 500&#xa0;&#x3bc;T&#xa0;at 1&#xa0;h, <italic>n</italic> &#x3d; 25; untreated at 1&#xa0;h, <italic>n</italic> &#x3d; 12; 45&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 58; 200&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 27; 500&#xa0;&#x3bc;T&#xa0;at 2&#xa0;h, <italic>n</italic> &#x3d; 26; untreated at 2&#xa0;h, <italic>n</italic> &#x3d; 14. Total biological replicates for ONOO<sup>&#x2212;</sup> were: untreated at 1&#xa0;h, <italic>n</italic> &#x3d; 30; untreated at 2&#xa0;h, <italic>n</italic> &#x3d; 12.</p>
</sec>
<sec id="s4-4">
<title>Immunostaining and <italic>in situ</italic> hybridization</title>
<p>Fluorescent <italic>in situ</italic> hybridization (to observe and quantify mRNA expression) was performed as previously described [<xref ref-type="bibr" rid="B93">93</xref>], with the following exceptions: Prehybe and hybe used yeast RNA at 1&#xa0;mg/ml and probe dilution was 0.5&#xa0;ng/&#x3bc;l with hybridization for 24&#xa0;h. <italic>S. mediterranea</italic> riboprobes to Hsp70, Piwi-1, and Agat-1 were generated as described in our previous paper in (15). The regions/primers used were: for Hsp70, a 552 bp region from 5&#x2032;-GGT&#x200b;TTT&#x200b;TGA&#x200b;TTT&#x200b;GGG&#x200b;TGG&#x200b;TG to 3&#x2032;-AGC&#x200b;TGT&#x200b;TGC&#x200b;TAT&#x200b;GGG&#x200b;AGC; for Piwi-1, a 2461 bp region from 5&#x2032;-GAT&#x200b;CCC&#x200b;AAT&#x200b;TTA&#x200b;AGA&#x200b;CCA&#x200b;AGA&#x200b;AGA&#x200b;G to 3&#x2032;-TTT&#x200b;TTA&#x200b;TGT&#x200b;ATT&#x200b;CGA&#x200b;TTA&#x200b;AAA&#x200b;AAA&#x200b;A; and for Agat-1, 404 bp from 5&#x2032;-GGA&#x200b;GTT&#x200b;AAA&#x200b;GTG&#x200b;TCC&#x200b;ATC&#x200b;CAG to 3&#x2032;-GTT&#x200b;GCT&#x200b;AAC&#x200b;CTG&#x200b;ACT&#x200b;GAC&#x200b;ATG&#x200b;C. Total experimental replicates for all were <italic>n</italic> &#x2265; 1. Total biological replicates for Hsp70 riboprobe were: 45&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 11; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 11; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 11. For Piwi-1 riboprobe: 45&#xa0;&#x3bc;T (200&#xa0;&#x3bc;T control), <italic>n</italic> &#x3d; 4; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 4.45&#xa0;&#x3bc;T (500&#xa0;&#x3bc;T control), <italic>n</italic> &#x3d; 7; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 7. For Agat-1 riboprobe: 45&#xa0;&#x3bc;T (200&#xa0;&#x3bc;T control), <italic>n</italic> &#x3d; 5; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 5; 45&#xa0;&#x3bc;T (500&#xa0;&#x3bc;T control), <italic>n</italic> &#x3d; 5; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 5. Labeling of miotic cells by immunostaining was performed as previously described [<xref ref-type="bibr" rid="B94">94</xref>], with anti-pH3 (Sigma/Millipore 04-817; 1:25) as the primary antibody. A goat anti-rabbit horseradish peroxidase (Invitrogen 65-6120) with TSA Cyanine 3 (Cy3)-tyramine (PerkinElmer; 1:50) amplification was used as the secondary antibody. All experiments were run once with controls. For Piwi-1 and Agat-1 a second experiment was run for representative photos. Total biological replicates: 45&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 39; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 25; 500&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 19.</p>
</sec>
<sec id="s4-5">
<title>Pharmacology</title>
<p>ROS production was inhibited with diphenyleneiodonium chloride (DPI; Sigma D2926). Endogenous ROS in the form of H<sub>2</sub>O<sub>2</sub> was administered by soaking planarians in 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> (diluted from 30% stock; Sigma 216763). For <xref ref-type="fig" rid="F6">Figures 6A&#x2013;C</xref>: Intact worms were presoaked in 10&#xa0;&#x3bc;M DPI (from 1&#xa0;mM DMSO stock) for 24&#xa0;h. Animals were amputated to form trunk fragments, then placed in worm water (DPI) or 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> (DPI &#x2b; H<sub>2</sub>O<sub>2</sub>) and allowed to regenerate at 18&#xa0;C. At 3&#xa0;days post injury, animals were imaged and scored for blastema size. Controls were pre-exposed to an equal amount of DMSO, then placed in worm water after amputation. Experiments were run at least 1&#xa0;time. Total biological replicates: DMSO controls, <italic>n</italic> &#x3d; 18; DPI, <italic>n</italic> &#x3d; 8; DPI &#x2b; H<sub>2</sub>O<sub>2</sub>, <italic>n</italic> &#x3d; 10. For <xref ref-type="fig" rid="F6">Figures 6D&#x2013;F</xref>: 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> was added after amputation concurrent with 200&#xa0;&#x3bc;T WMF exposure. Experiments were run twice. Total biological replicates: 45&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 35; 200&#xa0;&#x3bc;T, <italic>n</italic> &#x3d; 28; 200&#xa0;&#x3bc;T &#x2b; H<sub>2</sub>O<sub>2</sub>, <italic>n</italic> &#x3d; 23. For <xref ref-type="fig" rid="F6">Figures 6G&#x2013;I</xref>, animals were presoaked in 400&#xa0;&#x3bc;M H<sub>2</sub>O<sub>2</sub> (Exogenous H<sub>2</sub>O<sub>2</sub>) or worm water (Untreated Controls) for 24&#xa0;h prior to amputation and then returned to H<sub>2</sub>O<sub>2</sub> (or worm water for controls) for 1&#xa0;h, at which time all animals were rinsed 3X in worm water and placed in the O<sub>2</sub>
<sup>&#x2212;</sup> dye orange 1 (as described above) for an additional hour prior to imaging at 2&#xa0;h post amputation. Experiments were run once. Total biological replicates: H<sub>2</sub>O<sub>2</sub>, <italic>n</italic> &#x3d; 10; untreated, <italic>n</italic> &#x3d; 12.</p>
</sec>
<sec id="s4-6">
<title>Image collection</title>
<p>A Zeiss V20 Fluorescence Stereomicroscope with an AxioCam MRc or MRm camera and ZEN (lite) software was used for image collection. All live images were taken while regenerates were moving (fully extended) to prevent skewing blastema size/signal intensity due to scrunching. For blastema size, animals were imaged in 100&#xa0;mm Petri dishes with worm water. For live dyes, animals were imaged in 35&#xa0;mm FluoroDishes (WPI FD35-100) with 25&#xa0;mm round no. 1.5 coverslips (WPI 503508). For the general ROS dye CM-H<sub>2</sub>DCFDA, heat maps were generated using the standard rainbow lookup table (LUT) to visualize signal intensity. For each assay, samples were imaged at the same magnification and exposure levels to prevent confounding variables during comparisons (<italic>i.e.,</italic> acquisition conditions were kept constant across an experiment between control/treated and/or all different time points). Photoshop (Adobe) was used to orient and scale images (and improve clarity for morphology only). No data was added or subtracted. Original images available by request.</p>
</sec>
<sec id="s4-7">
<title>Quantification and statistical analyses</title>
<p>The magnetic lasso tool in Photoshop (Adobe) was used to generate total pixel counts of the anterior blastema (white tissues) and total regenerate (entire worm including blastema). To account for any variation in worm size, blastema was calculated as percent of total body size: (blastema size/body size) x 100. The magnetic lasso tool was also used to measure gray mean values (signal intensity) of fluorescent dyes at the anterior blastema. To account for any variation in dye loading, signal intensity was calculated as the difference between signal at the blastema <italic>versus</italic> signal from the middle of the regenerate (the pharyngeal region): blastema &#x2013; pharyngeal region. Cell counts of pH3&#x2b; were done using the RTNC plugin tool with ImageJ. Number of mitotic cells was expressed as cells per mm<sup>2</sup> of the entire regenerate, with total area measured using the magnetic lasso tool (as before). Significance: either two-tailed Student&#x2019;s <italic>t</italic>-test with unequal variance (Microsoft Excel or GraphPad Prism 9); or one-way analysis of variance (ANOVA) with Tukey&#x2019;s multiple comparison test (GraphPad Prism 7).</p>
</sec>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s5">
<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 author.</p>
</sec>
<sec id="s6">
<title>Author contributions</title>
<p>LK, AV, and WB contributed to conception and design of the study. LK performed the experiments and statistical analyses, with the exception of the <italic>in situ</italic> hybridization experiments and analyses (which were performed by AV). LK wrote the first draft of manuscript. LK and WB contributed to manuscript revision and figure preparation. All authors read and approved the submitted version.</p>
</sec>
<sec id="s7">
<title>Funding</title>
<p>Funding was provided by grants to WB from the National Science Foundation (EAGER 1644384 and CAREER 1652312) and Western Michigan University (Presidential Innovation Professorship).</p>
</sec>
<ack>
<p>We would like to gratefully thank Frank Barnes, University of Colorado-Boulder, for the gift and continued use of the MagShield box, along with many invaluable discussions and suggestions over the past years. We additionally thank Christoph Simon and his lab at the University of Calgary for useful conversations, as well as Beane lab members Saad Qureshi for assistance with DPI experiments and Samantha J. Hack for data discussions. Thanks for support also goes to LK. AV was affiliated with Western Michigan University at the time of the study and is currently affiliated with St. Jude Children&#x2019;s Research Hospital.</p>
</ack>
<sec sec-type="COI-statement" id="s8">
<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="disclaimer" id="s9">
<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>
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