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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Physiol.</journal-id>
<journal-title>Frontiers in Physiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Physiol.</abbrev-journal-title>
<issn pub-type="epub">1664-042X</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1348395</article-id>
<article-id pub-id-type="doi">10.3389/fphys.2024.1348395</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Physiology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Quantitative measurements of reactive oxygen species partitioning in electron transfer flavoenzyme magnetic field sensing</article-title>
<alt-title alt-title-type="left-running-head">Austvold 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/fphys.2024.1348395">10.3389/fphys.2024.1348395</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Austvold</surname>
<given-names>Chase K.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Keable</surname>
<given-names>Stephen M.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Procopio</surname>
<given-names>Maria</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2582924/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Usselman</surname>
<given-names>Robert J.</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2331957/overview"/>
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<aff id="aff1">
<sup>1</sup>
<institution>Chemistry and Biochemistry</institution>, <institution>Montana State University</institution>, <addr-line>Bozeman</addr-line>, <addr-line>MT</addr-line>, <country>United States</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Molecular Biophysics and Integrated Bioimaging Division</institution>, <institution>Lawrence Berkeley National Laboratory</institution>, <addr-line>Berkeley</addr-line>, <addr-line>CA</addr-line>, <country>United States</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Biophysics</institution>, <institution>Johns Hopkins University</institution>, <addr-line>Baltimore</addr-line>, <addr-line>MD</addr-line>, <country>United States</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Chemistry and Chemical Engineering</institution>, <institution>Florida Institute of Technology</institution>, <addr-line>Melbourne</addr-line>, <addr-line>FL</addr-line>, <country>United States</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Computational Research At Florida Tech</institution>, <addr-line>Melbourne</addr-line>, <addr-line>FL</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/1317399/overview">Rafael C. Bernardi</ext-link>, Auburn University, United States</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2602829/overview">Gerd Bruno Rocha</ext-link>, Federal University of Para&#xed;ba, Brazil</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1944821/overview">Abhishek Sau</ext-link>, Texas A and M University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1277275/overview">Frank Barnes</ext-link>, University of Colorado Boulder, United States</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: Robert J. Usselman, <email>russelman@fit.edu</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>02</day>
<month>02</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>15</volume>
<elocation-id>1348395</elocation-id>
<history>
<date date-type="received">
<day>02</day>
<month>12</month>
<year>2023</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>01</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Austvold, Keable, Procopio and Usselman.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Austvold, Keable, Procopio and Usselman</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>Biological magnetic field sensing that gives rise to physiological responses is of considerable importance in quantum biology. The radical pair mechanism (RPM) is a fundamental quantum process that can explain some of the observed biological magnetic effects. In magnetically sensitive radical pair (RP) reactions, coherent spin dynamics between singlet and triplet pairs are modulated by weak magnetic fields. The resulting singlet and triplet reaction products lead to distinct biological signaling channels and cellular outcomes. A prevalent RP in biology is between flavin semiquinone and superoxide (O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>) in the biological activation of molecular oxygen. This RP can result in a partitioning of reactive oxygen species (ROS) products to form either O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> or hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>). Here, we examine magnetic sensing of recombinant human electron transfer flavoenzyme (ETF) reoxidation by selectively measuring O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> product distributions. ROS partitioning was observed between two static magnetic fields at 20&#xa0;nT and 50&#xa0;&#x3bc;T, with a 13% decrease in H<sub>2</sub>O<sub>2</sub> singlet products and a 10% increase in O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> triplet products relative to 50&#xa0;&#xb5;T. RPM product yields were calculated for a realistic flavin/superoxide RP across the range of static magnetic fields, in agreement with experimental results. For a triplet born RP, the RPM also predicts about three times more O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> than H<sub>2</sub>O<sub>2</sub>, with experimental results exhibiting about four time more O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> produced by ETF. The method presented here illustrates the potential of a novel magnetic flavoprotein biological sensor that is directly linked to mitochondria bioenergetics and can be used as a target to study cell physiology.</p>
</abstract>
<kwd-group>
<kwd>radical pair mechanism</kwd>
<kwd>flavoenzymes</kwd>
<kwd>reactive oxygen species</kwd>
<kwd>quantum biology</kwd>
<kwd>magnetic field effects</kwd>
<kwd>mitochondria</kwd>
<kwd>bioenergetics</kwd>
</kwd-group>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Biophysics</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec sec-type="intro" id="s1">
<title>1 Introduction</title>
<p>The interaction between living systems and magnetic fields has recently witnessed a renewed interest due to the importance of possible quantum processes harnessed by living systems (<xref ref-type="bibr" rid="B32">Lambert et al., 2013</xref>; <xref ref-type="bibr" rid="B30">Kim et al., 2021</xref>). For utility in biological applications, a better understanding of the quantum mechanisms at the biomolecular level is needed to direct desired outcomes in cell physiology (<xref ref-type="bibr" rid="B67">Usselman et al., 2014</xref>; <xref ref-type="bibr" rid="B68">Usselman et al., 2016</xref>; <xref ref-type="bibr" rid="B15">Franco-Obreg&#xf3;n, 2023</xref>). Among the proposed mechanisms for weak magnetic field sensing in biology (<xref ref-type="bibr" rid="B50">Qin et al., 2016</xref>; <xref ref-type="bibr" rid="B44">Nordmann et al., 2017</xref>; <xref ref-type="bibr" rid="B35">Lin et al., 2019</xref>; <xref ref-type="bibr" rid="B17">Gao et al., 2021</xref>), the leading quantum process is the radical pair mechanism (RPM). Living systems are replete with forming and breaking chemical bonds, with many reactions creating radical pair (RP) intermediates. However, biological RP reactions must satisfy specific physical and chemical requirements to accomplish magnetic sensing (<xref ref-type="bibr" rid="B66">Timmel et al., 1998</xref>; <xref ref-type="bibr" rid="B47">Player and Hore, 2019</xref>). The flavoprotein cryptochrome has been proposed to be a biological magnetic receptor (<xref ref-type="bibr" rid="B52">Ritz et al., 2000</xref>), where a RP is initialized by either photoexcitation or during the redox cycle of the flavin cofactor (<xref ref-type="bibr" rid="B36">Maeda et al., 2008</xref>; <xref ref-type="bibr" rid="B22">Hogben et al., 2009</xref>; <xref ref-type="bibr" rid="B23">Hore and Mouritsen, 2016</xref>). Other protein systems have been suggested to sense weak magnetic fields (<xref ref-type="bibr" rid="B26">Jones, 2016</xref>). Here, we demonstrate a general method, based on product yield detected magnetic resonance (PYDMR)<xref ref-type="fn" rid="fn1">
<sup>1</sup>
</xref>, to investigate the RP-based magnetic sensing in reduced flavoenzymes that produce reactive oxygen species (ROS). This method is complementary to photoexcitation measurements, such as (auto)fluorescence in RP reactions (<xref ref-type="bibr" rid="B14">Evans et al., 2015</xref>; <xref ref-type="bibr" rid="B24">Ikeya and Woodward, 2021</xref>), and provides additional information via quantitative measurements on ROS product yields.</p>
<p>ROS are products of oxygen-dependent life in aerobic metabolism and are generally derived from molecular oxygen (O<sub>2</sub>) in redox active processes (<xref ref-type="bibr" rid="B27">Jones and Sies, 2015</xref>). The main initial ROS products in metabolism are superoxide (O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>) and hydrogen peroxide (H<sub>2</sub>O<sub>2</sub>) (<xref ref-type="bibr" rid="B59">Schieber and Chandel, 2014</xref>), which have inherent chemical properties that coincide with their reactivity and regulation within biological pathways. Under normal physiological levels, ROS serve as oxidative signaling molecules that affect biological and physiological processes, where excessive ROS levels lead to oxidative stress (<xref ref-type="bibr" rid="B61">Sies, 2017</xref>). Excessive oxidative stress can result in damage to lipids, proteins, and DNA within cells and has been linked the onset of several diseases (<xref ref-type="bibr" rid="B11">Cross et al., 1987</xref>). Cells utilize ROS in key signal transduction mechanisms and mitochondria bioenergetics that are crucial for adaptation to a changing oxidative environment (<xref ref-type="bibr" rid="B73">Wood et al., 2003</xref>; <xref ref-type="bibr" rid="B6">Brandes et al., 2009</xref>).</p>
<p>Mitochondria are the major source of ROS, with topological assays that show ROS production and contributions from different metabolic sites (<xref ref-type="bibr" rid="B5">Brand, 2010</xref>; <xref ref-type="bibr" rid="B13">Dr&#xf6;se and Brandt, 2012</xref>). &#x3b2;-oxidation is a primary catabolic pathway that involves the degradation of saturated fatty acids and has been shown as a source of ROS formation (<xref ref-type="bibr" rid="B4">Bartlett and Eaton, 2004</xref>; <xref ref-type="bibr" rid="B57">Rosca et al., 2012</xref>). Electron transfer flavoenzyme (ETF) is the main electron acceptor in mammalian &#x3b2;-oxidation and serves as an electron funnel from at least 11 unique flavoprotein dehydrogenases and some amino acid catabolism (<xref ref-type="bibr" rid="B53">Roberts et al., 1996</xref>). The electrons are then transferred to the ubiquinone pool (Q-pool) via the inter-membrane bound electron flavoprotein ubiquinone oxidoreductase (ETF-QO) (<xref ref-type="bibr" rid="B72">Watmough and Frerman, 2010</xref>). ETF shuttles electrons by a single flavin adenine dinucleotide (FAD) cofactor. In addition to electron transfer, the ETF FAD site can serve as a secondary role for a ROS oxidative signaling terminal point, which involves the partitioning of O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub>. ROS are produced through the interaction of the reduced flavin cofactor with molecular oxygen, presumably because of a disruption of electron flow to the Q-pool (<xref ref-type="bibr" rid="B45">Olsen et al., 2007</xref>; <xref ref-type="bibr" rid="B8">Burke, 2023</xref>).</p>
<p>The local flavin protein environment tunes the relative thermodynamic midpoint potentials for the three flavin redox states of oxidized quinone (0e<sup>&#x2212;</sup>), radical semiquinone (1e<sup>&#x2212;</sup>), and fully reduced hydroquinone (2e<sup>&#x2212;</sup>) (<xref ref-type="bibr" rid="B56">Romero et al., 2018</xref>). Therefore, flavoenzymes produce exclusively O<sub>2</sub>
<sup>&#x2022;-</sup> (1e<sup>&#x2212;</sup>) or H<sub>2</sub>O<sub>2</sub> (2e<sup>&#x2212;</sup>) or populations of both ROS, depending on the local flavin environment. For example, flavodoxins are 1e<sup>&#x2212;</sup> transferases because of the high flavin redox couple, and alternatively, dehydrogenases form mainly H<sub>2</sub>O<sub>2</sub> due to the low flavin redox couple. For a magnetic field sensitive flavoenzyme, the redox couple must be sufficiently low, but not too high, to produce both O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub>. Human ETF midpoint potentials have been determined for the Fl<sub>hydroquinone</sub>/Fl<sub>semiquinone</sub> (&#x2212;75&#xa0;mV) and for the Fl<sub>semiquinone</sub>/Fl<sub>quinone</sub> (&#x2b;15&#xa0;mV), with human ETF shown to produce both O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> (<xref ref-type="bibr" rid="B55">Rodrigues and Gomes, 2012</xref>; <xref ref-type="bibr" rid="B20">Henriques et al., 2021</xref>). Some of the local protein environment factors the modulate redox potentials include solvent accessibility, hydrogen bonding, backbone amide dipoles, and local charge (<xref ref-type="bibr" rid="B64">Swanson et al., 2008</xref>; <xref ref-type="bibr" rid="B69">Usselman et al., 2008</xref>).</p>
<p>Redox active flavoproteins can undergo a proton coupled electron transfer (1e<sup>&#x2212;</sup>) to activate O<sub>2</sub> to create a caged RP between the flavin semiquinone (FADH<sup>&#x2022;</sup>) and O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> anion, <xref ref-type="scheme" rid="sch1">Scheme 1</xref> (<xref ref-type="bibr" rid="B7">Bruice, 1984</xref>; <xref ref-type="bibr" rid="B38">Massey, 1994</xref>; <xref ref-type="bibr" rid="B51">Reece et al., 2006</xref>; <xref ref-type="bibr" rid="B10">Chaiyen et al., 2012</xref>; <xref ref-type="bibr" rid="B16">Gadda, 2012</xref>; <xref ref-type="bibr" rid="B25">Imlay, 2013</xref>). Because the ground state of O<sub>2</sub> is a triplet state, FADH<sup>&#x2022;</sup>:O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> is initially created in the triplet state. The FADH<sup>&#x2022;</sup>:O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> presents a spin selective divergent point to release specific ROS products, where the reaction can either release O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> through the triplet product channel or with an additional electron transfer can release H<sub>2</sub>O<sub>2</sub> through the singlet channel, <xref ref-type="fig" rid="F1">Figure 1</xref>.</p>
<fig id="sch1" position="float">
<label>SCHEME 1</label>
<caption>
<p>A proton coupled electron transfer activates molecular oxygen to form a triplet born spin correlated radical pair, with singlet and triplet coherent dynamics affected by magnetic fields.</p>
</caption>
<graphic xlink:href="FPHYS_fphys-2024-1348395_wc_sch1.tif"/>
</fig>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>(left) Activation of molecular oxygen by reduced flavin to produce a spin-correlated radical pair between flavin semiquinone and O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>. A magnetic field sensitive divergent point exists for oxidative signaling that can produce either O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> (triplet product) or H<sub>2</sub>O<sub>2</sub> (singlet product). Right (bottom) ETF X-ray crystal structure (PDB ID: 1EFV) of FAD cofactor in close proximity to the proposed semiquinone stabilizing residue &#x3b1;-249Arg. The distance indicates a conformational movement is needed for stabilization of the radical pair. Molecular oxygen is modeled into the proposed binding site nested between conserved hydrogen bonding partners (right top).</p>
</caption>
<graphic xlink:href="fphys-15-1348395-g001.tif"/>
</fig>
<p>At the RP formation, applied magnetic fields and local hyperfine interactions affect spin coherences that mix between the triplet and singlet states (<xref ref-type="bibr" rid="B60">Schulten and Wolynes, 1978</xref>). Therefore, internal and external magnetic fields can impact ROS products, redistributing the relative product ratios. Manipulating ROS levels using magnetic fields can potentially function as a cellular &#x201c;redox switch,&#x201d; which could have significant biological effects. Further understanding of quantum processes in this RP redox system could elucidate fundamental knowledge in ROS quantum biology.</p>
<p>To better understand the role of the RPM in ROS production at the biomolecular level in flavoenzymes, we selectively measured O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> products with the static magnetic field artificially set to 50&#xa0;&#xb5;T (Earth&#x2019;s magnetic field) and 20&#xa0;nT static magnetic fields for recombinant human ETF. The methodology presented here can be used to study magnetic field effects in flavoproteins that are potential candidates for magnetic biosensors.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Recombinant human ETF ROS assays</title>
<p>The growth and purification of human ETF was completed by adopting a procedure as previously described (<xref ref-type="bibr" rid="B54">Roberts et al., 1995</xref>; <xref ref-type="bibr" rid="B2">Austvold, 2019</xref>). Flavin loading in ETF was determined to be 97% by protein and flavin absorbance at A<sub>280</sub> and A<sub>450</sub>, respectively. A 24&#xa0;&#xb5;M solution of ETF was prepared by diluting a stock solution in 10&#xa0;mM Tris buffer at pH &#x3d; 7.5. The ETF solution was then transferred into an anaerobic cuvette and purged with Argon gas for 20 cycles. Reduced ETF was formed by enzymatic reduction with catalytic concentrations of medium chain acyl-coenzyme A dehydrogenase (MCAD) and octanoyl-CoA. An anerobic solution of MCAD and octanoyl-CoA was added to initialized reduction with final concentrations of 20&#xa0;&#xb5;M ETF, 0.02&#xa0;&#xb5;M MCAD, and 100&#xa0;&#xb5;M octanoyl-CoA. The reaction was monitored at flavin A<sub>450</sub> until the spectrum remained unchanged, approximately 15&#xa0;minutes at 20&#x00B0;C. Selective ROS assays were used to quantify H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> upon the re-oxidation of ETF reduced FAD cofactor. 20&#xa0;&#x3bc;M ETF at 250&#xa0;&#xb5;L of the enzymatically reduced protein was maintained in an anaerobic environment, then O<sub>2</sub> was introduced to the system by the addition of oxygenated 250&#xa0;&#xb5;L Tris buffer pH 7.5 (&#x223c;250&#xa0;&#xb5;M O<sub>2</sub>) containing the reagents for separate ETF ROS assays. Amplex Red (100&#xa0;&#x3bc;M, 0.4 U/mL HRP) and dihydroethidium (DHE, 50&#xa0;&#xb5;M) were used to selectively measure H<sub>2</sub>O<sub>2</sub> and O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>, respectively, with reoxidation occurring within 10&#xa0;min by monitoring A<sub>450</sub>. Four separate samples were analyzed and conducted in triplicates. One ETF sample for each ROS assay and their corresponding blanks, with quantitation determined by standard curves for each ROS assay.</p>
</sec>
<sec id="s2-2">
<title>2.2 Magnetic field Instrumentation</title>
<p>A tri-axial Helmholtz coil system with a 6-channel DC power supply was used to control the static magnetic field strength and direction in each of two temperature controlled environments (<xref ref-type="bibr" rid="B67">Usselman et al., 2014</xref>). A triaxial magnetic field sensor provided automatic feedback (PID) that allowed for real-time control of magnetic fields to cancel out other static magnetic fields present. The experiments were carried out in a Faraday cage. The static magnetic fields were set to either 50&#xa0;&#xb5;T or 20&#xa0;nT perpendicular to the standing cuvette. The samples were held at 20&#xb0;C during the re-oxidation of ETF for the selective ROS assays.</p>
</sec>
<sec id="s2-3">
<title>2.3 Modeling of realistic flavin-superoxide radical-pair reactions under static magnetic fields</title>
<p>Following the RP-based magnetoreception theory (<xref ref-type="bibr" rid="B60">Schulten and Wolynes, 1978</xref>; <xref ref-type="bibr" rid="B66">Timmel et al., 1998</xref>; <xref ref-type="bibr" rid="B52">Ritz et al., 2000</xref>; <xref ref-type="bibr" rid="B49">Procopio and Ritz, 2016</xref>), we have calculated the singlet (<inline-formula id="inf1">
<mml:math id="m2">
<mml:mrow>
<mml:msubsup>
<mml:mi>&#x3d5;</mml:mi>
<mml:mi>S</mml:mi>
<mml:mi>T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>) H<sub>2</sub>O<sub>2</sub> and triplet (<inline-formula id="inf2">
<mml:math id="m3">
<mml:mrow>
<mml:msubsup>
<mml:mi>&#x3d5;</mml:mi>
<mml:mi>T</mml:mi>
<mml:mi>T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>) O<sub>2</sub>
<sup>&#x2022;-</sup> product yields of a triplet born flavin-superoxide RP model as a function of the external magnetic field. The lifetime of the RP was set to 10&#xa0;&#xb5;s, and we have assumed that spin relaxation times are longer than the radical-pair lifetime. A theoretical static magnetic field dose-response curve, ranging from 10&#xa0;nT to 100&#xa0;&#x3bc;T, was calculated for ROS production. ROS product yields are shown in <xref ref-type="fig" rid="F2">Figure 2</xref> for the H<sub>2</sub>O<sub>2</sub> production (left), and for the O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> production (right), where red triangles depict ROS production at 20&#xa0;nT and blue triangles at 50&#xa0;&#xb5;T.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>(Protein bound-Suproxide) Spin dynamic simulation of the singlet yield <inline-formula id="inf3">
<mml:math id="m4">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">&#x3d5;</mml:mi>
<mml:mi mathvariant="bold-italic">S</mml:mi>
<mml:mi mathvariant="bold-italic">T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> (top H<sub>2</sub>O<sub>2</sub> production) and triplet yield <inline-formula id="inf4">
<mml:math id="m5">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="bold-italic">&#x3d5;</mml:mi>
<mml:mi mathvariant="bold-italic">T</mml:mi>
<mml:mi mathvariant="bold-italic">T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula>, (O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> production) of a triplet born radical-pair, as a function of the external magnetic field B (in log scale). The radical-pair model includes 7 isotropic hyperfine interactions in the flavin radical, and one isotropic hyperfine in the superoxide radical. The radical-pair lifetime was set to 10&#xa0;&#x3bc;s. The red triangle represents values at 20&#xa0;nT, and the yellow triangle values at 50&#xa0;&#x3bc;T.</p>
</caption>
<graphic xlink:href="fphys-15-1348395-g002.tif"/>
</fig>
<p>Our calculations implemented a realistic flavin-superoxide RP model, where O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> is considered bound to a protein cofactor. We chose this model because an unbound O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> would have a spin relaxation time too fast for magnetic field effects to occur (<xref ref-type="bibr" rid="B47">Player and Hore, 2019</xref>). In the bound case, O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>would experience some hyperfine interactions from the solvent, which have been predicted to be up to 120 &#x03BC;T (<xref ref-type="bibr" rid="B21">Hogben, 2011</xref>). Thereby, we model a RP with one hyperfine interaction in the O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> radical, and we choose the first seven largest hyperfine interactions in the flavin radical (<xref ref-type="bibr" rid="B33">Lau et al., 2012</xref>). Furthermore, we have considered the hyperfine interactions to be isotropic because the two radicals tumble in solution, thus the anisotropy is averaged out.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 ROS partitioning assays</title>
<p>ROS partitioning experiments were conducted with 10&#xa0;&#xb5;M ETF and performed in triplicates for each magnetic field strength. The Amplex Red assay measured the amount of H<sub>2</sub>O<sub>2</sub> produced within the reoxidation ETF reaction. The measured H<sub>2</sub>O<sub>2</sub> average concentration for 20&#xa0;nT was 2.1 &#xb1; 0.3&#xa0;&#xb5;M and for 50&#xa0;&#xb5;T the average concentration was 2.4 &#xb1; 0.2&#xa0;&#xb5;M. The results indicate a 13% decrease in H<sub>2</sub>O<sub>2</sub> from 50&#xa0;&#x3bc;T to 20&#xa0;nT. The DHE O<sub>2</sub>
<sup>&#x2022;-</sup> assay showed the amount of O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> produced during the re-oxidation of ETF for 20&#xa0;nT was 10.6 &#xb1; 1.4&#xa0;&#xb5;M and for 50&#xa0;&#xb5;T was 9.6 &#xb1; 0.8&#xa0;&#xb5;M. The results show a 10% increase in O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> production with the decrease in magnetic field strength from 50&#xa0;&#x3bc;T to 20&#xa0;nT. Relative ROS yields show an increase from four to five times more O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> produced than H<sub>2</sub>O<sub>2</sub> upon lowering the magnetic field, illustrating an increasing preference for the O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> triplet channel product. Comparative analysis between the two different magnetic fields has <italic>p</italic>-values for O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> triplicate experiments of 0.29 and 0.36, respectively. Both values indicate a non-significant difference for experiments in each field condition, exemplifying the need to reduce error in ROS flavoprotein assays. Theoretical calculations for H<sub>2</sub>O<sub>2</sub> production decreases from 50&#xa0;&#xb5;T (0.240) to 20&#xa0;nT (0.220) of about 0.016 (7% decrease). Conversely O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> production increases of the same amount ( <inline-formula id="inf5">
<mml:math id="m6">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="normal">&#x3d5;</mml:mi>
<mml:mi mathvariant="normal">S</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msubsup>
<mml:mo>&#x2b;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> <inline-formula id="inf6">
<mml:math id="m7">
<mml:mrow>
<mml:msubsup>
<mml:mi mathvariant="normal">&#x3d5;</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
<mml:mi mathvariant="normal">T</mml:mi>
</mml:msubsup>
</mml:mrow>
</mml:math>
</inline-formula> &#x3d; 1). Both results are in agreement with the measured ROS products levels.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>Under normal physiological conditions, ROS are oxidative signaling molecules that regulate a cellular redox network (<xref ref-type="bibr" rid="B62">Sies et al., 2022</xref>). Overproduction of ROS can lead to oxidative damage and a host of physiological or pathological outcomes. To better understand the phenotypic boundary between oxidative signaling or stress, biomolecular ROS quantification is essential. We demonstrate an experimental approach that can be utilized for quantitative measurement of flavoenzyme ROS generation. ETF was chosen due to its central role in bioenergetics and electron transfer pathway that feeds electrons to the mitochondria Q-pool. ETF was enzymatically reduced by MCAD and then ROS was selectively measured upon the reoxidation of the flavin cofactor. Our goals were to measure the relative proportions of ROS and the impact of magnet sensing on ROS product distributions of ETF. The reoxidation of ETF produced ROS partitioning of approximately four-fold more O<sub>2</sub>
<sup>&#x2022;-</sup> than H<sub>2</sub>O<sub>2</sub>, different than other findings of ETF ROS production (<xref ref-type="bibr" rid="B55">Rodrigues and Gomes, 2012</xref>). Flavin thermodynamic redox couples contribute to the observed ROS partitioning, in which the local protein environment tunes the flavoprotein redox properties (<xref ref-type="bibr" rid="B64">Swanson et al., 2008</xref>; <xref ref-type="bibr" rid="B69">Usselman et al., 2008</xref>; <xref ref-type="bibr" rid="B39">McDonald et al., 2011</xref>; <xref ref-type="bibr" rid="B18">Gran-Scheuch et al., 2023</xref>).</p>
<p>In addition, protein-protein interactions, such as with MCAD, induce conformational changes that can also impact midpoint potentials, analogous to points mutations in the vicinity of the flavin cofactor (<xref ref-type="bibr" rid="B64">Swanson et al., 2008</xref>; <xref ref-type="bibr" rid="B69">Usselman et al., 2008</xref>; <xref ref-type="bibr" rid="B55">Rodrigues and Gomes, 2012</xref>). Given that the amino acid environment in proximity to the flavin primarily determines the thermodynamic midpoint potentials, the local environment ultimately dictates normal ROS products and distributions in flavoenzyme structure-function relationships. The peptide environment around the FAD cofactor is not only crucial for redox tuning, but also serves as a flexible site for electronic coupling during electron transfer. A highly conserved arginine residue near the FAD cofactor was proposed to be responsible for stabilizing the superoxide radical pair is (<xref ref-type="fig" rid="F1">Figure 1</xref> right-bottom) (<xref ref-type="bibr" rid="B53">Roberts et al., 1996</xref>). Distance measurements indicate the need for a conformational movement of this residue during electron transfer to stabilize the semiquinone state and allow for ROS partitioning.</p>
<p>The protein molecular determinants that give rise to magnetic sensing are not well-understood and are perhaps rare in biology (<xref ref-type="bibr" rid="B40">Messiha et al., 2015</xref>). We proposed ETF as a potential redox magnetic sensor (<xref ref-type="bibr" rid="B2">Austvold, 2019</xref>), where flavin semiquinone radical and O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> form a spin correlated RP initialized in the triplet-state, leading to characteristic magnetic field dependence on ROS product yields. Here, experimental results were conducted to compare the Earth&#x2019;s static magnetic field at 50&#xa0;&#xb5;T and a lower static magnetic field at 20&#xa0;nT. ETF reoxidation assays measured a 13% decrease in H<sub>2</sub>O<sub>2</sub> production and an increase of 10% O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> from 50&#xa0;&#xb5;T to 20&#xa0;nT, <xref ref-type="fig" rid="F3">Figure 3</xref>. The experimental ROS partitioning demonstrates one of the hallmark quantum signatures of the RPM in operation for ETF. Of critical importance is the spatial arrangement of O<sub>2</sub> relative to the flavin group (<xref ref-type="bibr" rid="B10">Chaiyen et al., 2012</xref>), as well as the required binding time of O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> in proximity to the semiquinone for sufficient spin correlation. Recent molecular dynamics simulations discovered several novel ETF oxygen binding sites in ETF (<xref ref-type="bibr" rid="B43">Nielsen et al., 2019</xref>; <xref ref-type="bibr" rid="B58">Salerno et al., 2022</xref>), suggesting that ETF can activate O<sub>2</sub> through perhaps an outer sphere electron transfer. The RP distance can affect spin relaxation and thus magnetic sensing in the radicals, whereas the problems with spin relaxation can be essentially removed by a radical scavenger by the quantum Zeno effect (<xref ref-type="bibr" rid="B29">Kattnig, 2017</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>(left) ETF reoxidation for measure concentrations of H<sub>2</sub>O<sub>2</sub> singlet product yields at 20&#xa0;nT and 50&#xa0;&#xb5;T. (right) ETF reoxidation for measure concentrations of O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup>- triplet product yields at 20&#xa0;nT and 50&#xa0;&#xb5;T.</p>
</caption>
<graphic xlink:href="fphys-15-1348395-g003.tif"/>
</fig>
<p>Using the RP theory avian magnetoreception (<xref ref-type="bibr" rid="B52">Ritz et al., 2000</xref>), simulations have been performed to quantify ROS products that are dictated by coherent dynamics of singlet and triplet RP spin states (<xref ref-type="bibr" rid="B49">Procopio and Ritz, 2016</xref>). We have determined singlet and triplet product yields, and thus relative distributions of O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> and H<sub>2</sub>O<sub>2</sub> as a function of the static magnetic field strength. A realistic model was used to calculate the ROS products yields for static magnetic fields ranging from 10&#xa0;nT to 100&#xa0;&#x03BC;T. The theoretical RP results correlate with the observed ROS yields of a decrease in H<sub>2</sub>O<sub>2</sub> singlet products and an increase in O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> triplet products from 50&#xa0;&#x3bc;T to 20&#xa0;nT for the reoxidation of ETF, <xref ref-type="fig" rid="F2">Figure 2</xref>. Thus, controlling ROS product channeling can be accomplished by using specific magnetic fields and configurations (<xref ref-type="bibr" rid="B15">Franco-Obreg&#xf3;n, 2023</xref>).</p>
<p>Over the past 2&#xa0;decades, cryptochrome experiments have shown increasing evidence for magnetic sensing, and more generally, the involvement of ROS (<xref ref-type="bibr" rid="B52">Ritz et al., 2000</xref>; <xref ref-type="bibr" rid="B63">Solov&#x2019;yov and Schulten, 2009</xref>; <xref ref-type="bibr" rid="B37">Martino and Castello, 2011</xref>; <xref ref-type="bibr" rid="B41">Muller and Ahmad, 2011</xref>; <xref ref-type="bibr" rid="B1">Arthaut et al., 2017</xref>; <xref ref-type="bibr" rid="B48">Pooam et al., 2020</xref>). We previously reported that flavin-superoxide RP could be a broader magnetic sensing system in redox cell biology (<xref ref-type="bibr" rid="B67">Usselman et al., 2014</xref>; <xref ref-type="bibr" rid="B68">Usselman et al., 2016</xref>). Our ROS cellular research, combined with flavin-superoxide RP theoretical models, supports biomolecular ROS distributions from the results obtained through the re-oxidation of ETF. However, recently the primary magnetic receptor was suggested to be O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> itself and perhaps O<sub>2</sub>
<sup>&#x2022;&#x2212;</sup> dismutation, with observations supported by cellular (<xref ref-type="bibr" rid="B37">Martino and Castello, 2011</xref>), mouse (<xref ref-type="bibr" rid="B9">Carter et al., 2020</xref>) and planarian models (<xref ref-type="bibr" rid="B70">Van Huizen et al., 2019</xref>; <xref ref-type="bibr" rid="B31">Kinsey et al., 2023</xref>). If flavin-superoxide RP magnetic sensing is occurring, the discrepancy among the reports could involve magnetic field conditions that target different flavoenzymes, i.e., oxidases or monooxygenases (<xref ref-type="bibr" rid="B38">Massey, 1994</xref>; <xref ref-type="bibr" rid="B25">Imlay, 2013</xref>; <xref ref-type="bibr" rid="B67">Usselman et al., 2014</xref>; <xref ref-type="bibr" rid="B18">Gran-Scheuch et al., 2023</xref>). In addition, less is known about the initial adaptive ROS cellular responses because of the intrinsic antioxidant regulatory systems (<xref ref-type="bibr" rid="B62">Sies et al., 2022</xref>). Nonetheless, targeting different ROS producing systems greatly offers an expanded approach for magnetic field intervention (<xref ref-type="bibr" rid="B71">Vecheck et al., 2024</xref>) to remotely hack the redox code (<xref ref-type="bibr" rid="B27">Jones and Sies, 2015</xref>) and impart select cellular physiological responses.</p>
<sec id="s4-1">
<title>4.1 Limitations</title>
<p>One of the major challenges in studying ROS in biological systems is the difficulty of measurement and quantitation (<xref ref-type="bibr" rid="B12">Dikalov et al., 2007</xref>; <xref ref-type="bibr" rid="B28">Kalyanaraman et al., 2014</xref>). Moreover, ROS are not only highly transient but are produced by many different systems in cell physiology (<xref ref-type="bibr" rid="B42">Murphy et al., 2022</xref>), whereas recombinant flavoproteins offer a reductionist biomolecular approach to identify magnetic-induced ROS partitioning. However, uncertainty in protein concentration and flavin loading can lead to errors as well, in addition to the ROS assays, especially measuring superoxide. In addition, changes in reaction yields via the RPM are usually less than 10%, therefore, requiring an increased minimization of error in experimental procedures.</p>
</sec>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Many oxidative metabolic pathways occur within the mitochondria and involve redox intermediates that can interact with O<sub>2</sub> to produce ROS, including ETF/ETF-QO (<xref ref-type="bibr" rid="B72">Watmough and Frerman, 2010</xref>; <xref ref-type="bibr" rid="B46">Perevoshchikova et al., 2013</xref>). Therefore, mitochondria are a vital source of ROS production within eukaryotic cells (<xref ref-type="bibr" rid="B27">Jones and Sies, 2015</xref>) and throughout the microbial biosphere (<xref ref-type="bibr" rid="B25">Imlay, 2013</xref>). ROS signaling by mitochondrial enzymes, including ETF, play a fundamental role in oxidative signaling (<xref ref-type="bibr" rid="B62">Sies et al., 2022</xref>), where the progression to cellular dysfunction can ultimately lead to inflammation and disease. While the effects of different magnetic field environments can alter ROS production (<xref ref-type="bibr" rid="B3">Barnes and Greenebaum, 2018</xref>; <xref ref-type="bibr" rid="B19">Gurhan et al., 2021</xref>), the persistent changes of oxidative signaling can have longer term impacts on cell physiology (<xref ref-type="bibr" rid="B65">Thoni et al., 2022</xref>; <xref ref-type="bibr" rid="B15">Franco-Obreg&#xf3;n, 2023</xref>). Here, we show that ETF should be considered a target for further RPM investigations due to the importance of mitochondria bioenergetics, especially for biomedical engineering and therapeutic potential. Particularly, the intersection of electric voltages and magnetic spins offers a novel approach to investigate the connection between energy and living systems (<xref ref-type="bibr" rid="B34">Lee et al., 2023</xref>). The low magnetic fields strengths studied here also illustrate the importance of understanding how spin mechanisms could impact space health and agriculture.</p>
</sec>
</body>
<back>
<sec id="s6">
<title>Author contributions</title>
<p>CA: Data curation, Investigation, Methodology, Writing&#x2013;original draft. SK: Data curation, Investigation, Methodology, Visualization, Writing&#x2013;review and editing. MP: Data curation, Formal Analysis, Methodology, Writing&#x2013;review and editing. RU: Conceptualization, Data curation, Formal Analysis, Funding acquisition, Investigation, Methodology, Project administration, Resources, Supervision, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s7">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by American Heart Association (Grant No. 15SDG25710461) and this material is based upon work supported by the Air Force Office of Scientific Research under award number FA9550-17-1-0458.</p>
</sec>
<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>
<fn-group>
<fn id="fn1">
<label>1</label>
<p>Also known as reaction yield detected magnetic resonance (RYDMR).</p>
</fn>
</fn-group>
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