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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Exp. Biol. Med.</journal-id>
<journal-title-group>
<journal-title>Experimental Biology and Medicine</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Exp. Biol. Med.</abbrev-journal-title>
</journal-title-group>
<issn pub-type="epub">1535-3699</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">10857</article-id>
<article-id pub-id-type="doi">10.3389/ebm.2026.10857</article-id>
<article-version article-version-type="Version of Record" vocab="NISO-RP-8-2008"/>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Original Research</subject>
</subj-group>
</article-categories>
<title-group>
<article-title>Towards a standardized diabetic prolonged wound healing model in hairless SKH1 mice</article-title>
<alt-title alt-title-type="left-running-head">Koivunotko 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/ebm.2026.10857">10.3389/ebm.2026.10857</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Koivunotko</surname>
<given-names>Elle</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Monola</surname>
<given-names>Julia</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Pridgeon</surname>
<given-names>Chris 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/3227349"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Linden</surname>
<given-names>Jere</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Harjum&#xe4;ki</surname>
<given-names>Riina</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1412812"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Yatkin</surname>
<given-names>Emrah</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Madetoja</surname>
<given-names>Mari</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Yliperttula</surname>
<given-names>Marjo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>1</label>
<institution>Division of Pharmaceutical Biosciences, Drug Research Program, Faculty of Pharmacy, University of Helsinki</institution>, <city>Helsinki</city>, <country country="FI">Finland</country>
</aff>
<aff id="aff2">
<label>2</label>
<institution>Finnish Centre for Laboratory Animal Pathology, HiLIFE, University of Helsinki</institution>, <city>Helsinki</city>, <country country="FI">Finland</country>
</aff>
<aff id="aff3">
<label>3</label>
<institution>Department of Veterinary Biosciences, Faculty of Veterinary Medicine, University of Helsinki</institution>, <city>Helsinki</city>, <country country="FI">Finland</country>
</aff>
<aff id="aff4">
<label>4</label>
<institution>Central Animal Laboratory, University of Turku</institution>, <city>Turku</city>, <country country="FI">Finland</country>
</aff>
<aff id="aff5">
<label>5</label>
<institution>Made Consulting Ltd</institution>, <city>Turku</city>, <country country="FI">Finland</country>
</aff>
<author-notes>
<corresp id="c001">
<label>&#x2a;</label>Correspondence: Chris S. Pridgeon, <email xlink:href="mailto:christopher.pridgeon@helsinki.fi">christopher.pridgeon@helsinki.fi</email>; Marjo Yliperttula, <email xlink:href="mailto:marjo.yliperttula@helsinki.fi">marjo.yliperttula@helsinki.fi</email>
</corresp>
</author-notes>
<pub-date publication-format="electronic" date-type="pub" iso-8601-date="2026-03-20">
<day>20</day>
<month>03</month>
<year>2026</year>
</pub-date>
<pub-date publication-format="electronic" date-type="collection">
<year>2026</year>
</pub-date>
<volume>251</volume>
<elocation-id>10857</elocation-id>
<history>
<date date-type="received">
<day>10</day>
<month>10</month>
<year>2025</year>
</date>
<date date-type="rev-recd">
<day>21</day>
<month>12</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>16</day>
<month>02</month>
<year>2026</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2026 Koivunotko, Monola, Pridgeon, Linden, Harjum&#xe4;ki, Yatkin, Madetoja and Yliperttula.</copyright-statement>
<copyright-year>2026</copyright-year>
<copyright-holder>Koivunotko, Monola, Pridgeon, Linden, Harjum&#xe4;ki, Yatkin, Madetoja and Yliperttula</copyright-holder>
<license>
<ali:license_ref start_date="2026-03-20">https://creativecommons.org/licenses/by/4.0/</ali:license_ref>
<license-p>This is an open-access article distributed under the terms of the <ext-link ext-link-type="uri" xlink:href="https://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution License (CC BY)</ext-link>. The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</license-p>
</license>
</permissions>
<abstract>
<p>Chronic wounds, particularly those associated with diabetes, pose a significant clinical challenge due to their impaired healing dynamics and lack of reliable and standardized preclinical models. This pilot study aimed to establish a diabetogenic, immunocompetent, hairless mouse model (SKH1 strain) to simulate prolonged wound healing. Diabetes was induced by streptozotocin administration, followed by the creation of full-thickness dorsal skin wounds. Wounds were treated with either saline or nanofibrillated cellulose hydrogel as a model treatment. Wound healing progression and blood glucose were monitored, and histopathological assessments were performed after a 14-day experiment. In addition, for the first time, the Thermidas thermal imaging system was used in an <italic>in vivo</italic> mouse model to evaluate skin temperature. Results demonstrated that diabetes induction successfully prolonged wound closure by 5 days compared with the previously described acute wound model in the same strain with the identical protocol without streptozotocin (STZ) induction. Histopathological analyses showed increased macrophage activity (16.2% vs. 2.2% in the treatment groups and 10.2% vs. 0.3% in the control groups) and decreased collagen deposition (12.2% vs. 43.2% in the treatment groups and 17.6% vs. 27.4% in the control groups), suggesting prolonged wound healing. These findings support the use of hairless SKH1 mice as a viable model for studying prolonged diabetic wound healing and evaluating future therapeutic candidates.</p>
</abstract>
<abstract abstract-type="graphical">
<title>Graphical Abstract</title>
<p>
<fig>
<graphic xlink:href="EBM_ebm-2026-10857_wc_abs.tif" position="anchor">
<alt-text content-type="machine-generated">Illustration showing a laboratory mouse injected with STZ, leading to high blood glucose. Inset highlights wound healing impairment, prolonged closure, increased macrophage activity, and changes in collagen formation under hyperglycemia.</alt-text>
</graphic>
</fig>
</p>
</abstract>
<kwd-group>
<kwd>collagen deposition</kwd>
<kwd>diabetogenic SKH1 mice</kwd>
<kwd>
<italic>in vivo</italic> prolonged wound healing model</kwd>
<kwd>macrophage activity</kwd>
<kwd>STZ induction</kwd>
</kwd-group>
<funding-group>
<funding-statement>The author(s) declared that financial support was received for this work and/or its publication. EK acknowledges the Post Docs in Companies program 2025 funded by Jenny and Antti Wihuri Foundation. JM acknowledges the Doctoral Programme in Materials Research and Nanosciences (University of Helsinki, Finland). CP acknowledges the Finnish Cultural Foundation (grant no. 00250755). RH and MY acknowledge the Academy of Finland, GeneCellNano flagship-project (grant no. 337430) and RH acknowledges the Finnish Cultural Foundation (grant no. 00220283).</funding-statement>
</funding-group>
<counts>
<fig-count count="7"/>
<table-count count="2"/>
<equation-count count="1"/>
<ref-count count="58"/>
<page-count count="15"/>
</counts>
<custom-meta-group>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Physiology, Pathophysiology and Mechanisms of Disease</meta-value>
</custom-meta>
</custom-meta-group>
</article-meta>
</front>
<body>
<sec id="s1">
<title>Impact statement</title>
<p>Chronic wounds are often referred to as a silent epidemic and represent a growing global challenge with increasing prevalence each year. The development of novel bioactive wound therapies is hindered by the lack of standardized pre-clinical models and limited understanding of prolonged wound-healing pathophysiology. In this study, together with our previous work, we provide new insights into the potential of the SKH1 nude mouse strain as a versatile model for both acute and chronic wound healing research. To our knowledge, this is the first methodological study directly comparing diabetogenic and healthy SKH1 mice in a full-thickness wound model, revealing important differences in wound-healing pathology and treatment candidate efficacy. Publication of this work offers the opportunity to advance more standardized, reproducible wound-healing models that can accelerate therapeutic development while adhering to the principles of the 3Rs.</p>
</sec>
<sec sec-type="intro" id="s2">
<title>Introduction</title>
<p>An aging population and the rising prevalence of chronic diseases, such as diabetes and cardiovascular disorders, present global challenges in managing chronic wounds. Chronic wounds have been reported to cost up to 97 billion USD annually [<xref ref-type="bibr" rid="B1">1</xref>] and increase the risk of mortality, particularly in patients with diabetic foot ulcers [<xref ref-type="bibr" rid="B2">2</xref>]. Insufficient homecare and the development of antibiotic resistance have led to a vicious cycle of chronic wound treatment [<xref ref-type="bibr" rid="B3">3</xref>], which will not be resolved without novel treatments and a better understanding of wound pathophysiology.</p>
<p>Diabetes is a leading systemic contributor to chronic wound development, primarily by inducing local ischemia, elevating protease activity, and impairing skin cell function due to persistent hyperglycemia [<xref ref-type="bibr" rid="B4">4</xref>, <xref ref-type="bibr" rid="B5">5</xref>]. While the current standard of care (including wound cleansing, pressure offloading, and infection control) remains essential, alternative therapies are being explored to enhance oxygen delivery, stimulate angiogenesis, and restore cellular activity. These include negative pressure wound therapy, bioactive hydrogels, and the application of growth factors [<xref ref-type="bibr" rid="B6">6</xref>, <xref ref-type="bibr" rid="B7">7</xref>]. However, despite their promise, these approaches have yielded inconsistent results and lack standardized protocols, limiting their integration into routine chronic wound management.</p>
<p>The development of effective wound therapies is hindered by the heterogeneity of chronic wounds and the complexity of the wound healing process, making it difficult to establish standardized and reproducible preclinical models. Acute and chronic wounds differ significantly in key biological processes, further complicating both <italic>in vitro</italic> and <italic>in vivo</italic> modeling. The classification of wounds as acute or chronic is primarily determined by their healing duration, which itself depends heavily on the wound&#x2019;s original size and location [<xref ref-type="bibr" rid="B8">8</xref>]. A wound is considered chronic if it fails to progress through the four partially overlapping healing phases (hemostasis, inflammation, proliferation, and maturation) within approximately 12 weeks. Beyond delayed or incomplete closure, chronic wounds are also characterized by persistent inflammation and impaired cellular function, often influenced by local or systemic conditions such as chronic diseases or infections [<xref ref-type="bibr" rid="B9">9</xref>]. In diabetes, for instance, angiogenesis&#x2014;the formation of new blood vessels from existing vasculature&#x2014;is impaired, resulting in insufficient oxygen and nutrient delivery to the wound site and contributing to delayed healing [<xref ref-type="bibr" rid="B10">10</xref>]. This vascular deficiency disrupts the balance of growth factors and cytokines, impairs epithelialization, and delays wound closure [<xref ref-type="bibr" rid="B11">11</xref>, <xref ref-type="bibr" rid="B12">12</xref>]. Elevated levels of reactive oxygen species and altered macrophage activity lead to prolonged inflammation, as macrophages in chronic wounds fail to undergo the normal transition from pro-inflammatory (M1) to pro-regenerative states (M2) [<xref ref-type="bibr" rid="B13">13</xref>]. This sustained inflammation negatively impacts the formation of fibrous tissue and angiogenic activity [<xref ref-type="bibr" rid="B14">14</xref>]. Additionally, later stages of healing, including proliferation and maturation, are disrupted. Increased metalloproteinase activity and altered fibroblast function lead to an imbalance in collagen production [<xref ref-type="bibr" rid="B15">15</xref>, <xref ref-type="bibr" rid="B16">16</xref>]. Such disturbances can result in excessive or pathological scarring, for which no definitive treatment currently exists.</p>
<p>Although research has focused on reducing the use of <italic>in vivo</italic> models with versatile three-dimensional <italic>in vitro</italic> models, the use of animals remains the gold standard in medical device and medicinal drug development for wound treatment. From the anatomical perspective, porcine models provide the most similar skin structure to human skin when comparing skin thickness, layers, and hair density [<xref ref-type="bibr" rid="B17">17</xref>]. Conversely, a more standardized genetic background and established genetic modifications, lower cost, and simpler habitat maintenance mean that mouse models are the most common <italic>in vivo</italic> model. However, this causes difficulties when translating <italic>in vivo</italic> findings to the clinic due to the larger differences between mice and humans, such as differences in skin thickness and contraction and its attachment to underlying tissue [<xref ref-type="bibr" rid="B18">18</xref>]. The most common method to study diabetic wounds <italic>in vivo</italic> is with streptozotocin (STZ)-induced mice [<xref ref-type="bibr" rid="B19">19</xref>]. STZ is a chemotherapeutic agent for the treatment of pancreatic <inline-formula id="inf1">
<mml:math id="m1">
<mml:mrow>
<mml:mi>&#x3b2;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>-cell carcinoma, the cells in which normal insulin production occurs. In mice, STZ causes necrosis of the <inline-formula id="inf2">
<mml:math id="m2">
<mml:mrow>
<mml:mi>&#x3b2;</mml:mi>
</mml:mrow>
</mml:math>
</inline-formula>-cells, decreasing insulin production as in type I diabetes [<xref ref-type="bibr" rid="B20">20</xref>]. Although STZ induction is widely used, the protocols differ substantially between laboratories in terms of the experimental setups, e.g., variations in STZ dosing protocol, animal strain, experimental endpoints, animal diet, and data monitoring. Additional challenges come from the lack of both acute and prolonged wound healing models in the same experimental modality, challenging the understanding of the pathological differences.</p>
<p>Although most studies using STZ induction in rodents are considered disease pathology models, the model has also been used in chronic wound healing research. However, most models are generated with strains with typical skin and hair, which decreases the similarity to humans [<xref ref-type="bibr" rid="B21">21</xref>]. This challenge can be addressed by using hairless mouse strains, where the lack of hair and hair-follicle&#x2013;derived wound-healing stem cells may offer a more suitable foundation for developing an <italic>in vivo</italic> wound healing model [<xref ref-type="bibr" rid="B22">22</xref>, <xref ref-type="bibr" rid="B23">23</xref>]. Although these strains retain certain biological limitations, like differences in skin structure [<xref ref-type="bibr" rid="B24">24</xref>] and the wound closure process [<xref ref-type="bibr" rid="B25">25</xref>, <xref ref-type="bibr" rid="B26">26</xref>], they allow for easier wound creation, more consistent monitoring of the healing process, and improved capacity for thermographic assessment compared with other strains. Currently, there are few chronic wound models with immunocompetent hairless mouse strains, which encouraged us to generate a prolonged wound healing model in hairless SKH1 mice using a standardized STZ induction protocol. In addition, our previous study using SKH1 mice to generate an acute full-thickness wound model with an identical protocol to evaluate the efficacy and safety of wound treatment candidates was successful; it was carried out with good animal welfare, simplified wound creation, good monitoring of wound healing, and evaluation of possible changes in the skin during the experiment.</p>
<p>In this pilot study, our aim was to produce a tractable prolonged full-thickness wound healing model using STZ-induced hairless SKH1 mice, which has been used previously in our acute wound model study without diabetes induction [<xref ref-type="bibr" rid="B27">27</xref>]. For brevity, data in the prolonged wound healing model are henceforth referred to as &#x201c;chronic wounds&#x201d;. Based on this study we emphasize the following: 1) the potential for future standardization of current <italic>in vivo</italic> wound models by using the same strain and experimental set up in both acute and prolonged wound healing experiments; 2) the use of non-invasive monitoring tools to evaluate the progression of wound healing and possible infection with thermograph analysis; and 3) the use of hairless mice for simplified wound monitoring, and avoidance of ethically contentious methods such as mechanical prevention of wound closure. Through comparison with data from the previous acute wound model, changes in wound healing physiology, including epithelialization, inflammation, angiogenesis, and collagen deposition, could be observed in response to the same treatments. We hypothesize that hyperglycemic SKH1 mice with prolonged wound healing characteristics, including longer wound closure time, induced macrophage activity, and reduced collagen deposition, can be produced using STZ induction. By considering both acute and prolonged wounds, this study indicates the importance of standardized preclinical models for future wound care development.</p>
</sec>
<sec sec-type="materials|methods" id="s3">
<title>Materials and methods</title>
<sec id="s3-1">
<title>Model treatment formulations</title>
<p>To illustrate the effects of the material candidate in the chronic wound model, medical-grade nanofibrillated cellulose (NFC) hydrogel (FibGel, UPM Biomedicals) [2.9% (m/v)] was used as a model treatment as in our previous publication [<xref ref-type="bibr" rid="B27">27</xref>]. NFC hydrogel was diluted into 0.8% (m/v) with sterile water before use. 0.9% (m/v) NaCl was used as a control treatment.</p>
</sec>
<sec id="s3-2">
<title>Streptozotocin injection</title>
<p>Streptozotocin (STZ) (Sigma-Aldrich, batch 0661505.4, MO, USA) was solubilized in NaCl 0.9% (batch 214328131, Braun) into a final concentration of 8.0&#xa0;mg/mL. STZ was prepared fresh daily and injected intraperitonially within 15&#xa0;min of preparation. STZ bolus (40&#xa0;mg/kg body weight) was administered daily for 5 consecutive days as previously described [<xref ref-type="bibr" rid="B28">28</xref>] using a Myjector 27Gx1/2&#x2033; Terumo 0.3&#x2013;0.5&#xa0;mL insulin syringe. The dosing volume was 5&#xa0;mL/kg. The injection site of skin was wiped with 70% EtOH prior to injection. Animals were not fasted before STZ injection to avoid additional stress factors for mice.</p>
</sec>
<sec id="s3-3">
<title>Animals</title>
<p>STZ induction was performed on 10 male SKH1 mice (Crl:SKH1-Hrhr, SPF, Charles River) at age 8&#x2013;9 weeks. In total, nine of the STZ-induced mice underwent the chronic wound model. The pilot animal experiments were approved by the National Project Authorization Board of Finland (license number ESAVI-25539-2024), and the study conformed to the following guidelines: DIRECTIVE 2010/63/EU of the European Parliament and the Council, Finnish Act (497/2013), Government Decree on the Protection of Animals Used for Scientific or Educational Purposes (564/2013), and Guidance document on the Recognition, Assessment and Use of Clinical Signs as Humane endpoints for Experimental Animals Used in Safety Evaluation, Environmental Health and Safety Monograph Series on Testing and Assessment (No 19. OECD 2000). The reporting of this animal research followed the ARRIVE 2.0 (Animal Research: Reporting <italic>In Vivo</italic> Experiments) guidelines [<xref ref-type="bibr" rid="B29">29</xref>] in the spirit of the pilot study.</p>
<p>This non-Good Laboratory Practices (GLP) animal experiment was performed in a GLP-certified Central Animal Laboratory, Turku University, Finland. The acclimatization period before the first experiment procedure was 6&#x2013;13 days. The first STZ injection was given after the acclimatization period, and injections were given on 5 consecutive days. The mice were housed four to five animals per cage before experimentation and individually during the experiments, starting on study day 0. Cellulose paper and cardboard houses were used as environmental enrichment. Laboratory room temperature was 21&#xa0;&#xb0;C &#xb1; 3&#xa0;&#xb0;C, relative humidity was between 40% and 60%, and artificial lighting followed a 12-hour light, 12-hour dark cycle. A laboratory rodent chow diet (Teklad2920, Inotiv) and water were offered <italic>ad libitum,</italic> and the animals were cared for according to the standard operating procedures of Central Animal Laboratory. The clinical status was checked twice daily during the experiment period. The animals were weighed on study days 0, 2, 5, 6, 8, 10, 12, and 14 after wound surgery without dressing.</p>
</sec>
<sec id="s3-4">
<title>Blood glucose monitoring</title>
<p>The blood glucose of the mice was measured for the first time after the first STZ injection using the ACCU Check Aviva glucose meter and Accu-Chek Aviva Blood Glucose Test Strips (lot 690720). The validity of the meter was checked by using Accu-Chek Guide control solutions (lot 24700675). Blood for glucose determination was taken from the tail vein by needle prick using a 27G needle and analyzed with a glucometer (0.6&#xa0;&#xb5;L of blood). When the blood glucose level was &#x2265;15&#xa0;mmol/L (corresponding to 270&#xa0;mg/dL) in two consecutive measurements, a mouse was diagnosed with diabetes.</p>
<p>When blood glucose rose to &#x2265;20&#xa0;mmol/L, blood glucose was monitored daily, and insulin treatment was started at &#x2265;25&#xa0;mmol/L. The insulin doses were administered to mice once or twice a day, depending on the glucose level response (Lantus 100 IU/mL, 0.5 IU accuracy, batch 3F231A, insulin pen JuniorSTAR). The starting dose was 0.5 IU per mouse per day, after which the dose varied between 0.5 IU and 3.0 IU (<xref ref-type="table" rid="T1">Table 1</xref>).</p>
<table-wrap id="T1" position="float">
<label>TABLE 1</label>
<caption>
<p>Glucose levels and the used insulin treatment dose.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Glucose level</th>
<th align="left">Insulin treatment/day</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">&#x3c;20&#xa0;mmol/L</td>
<td align="left">No insulin</td>
</tr>
<tr>
<td align="left">20&#x2013;25&#xa0;mmol/L</td>
<td align="left">0.5 IU</td>
</tr>
<tr>
<td align="left">25&#x2013;30&#xa0;mmol/L</td>
<td align="left">0.5&#x2013;2 IU</td>
</tr>
<tr>
<td align="left">&#x3e;30&#xa0;mmol/L</td>
<td align="left">1&#x2013;3 IU</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s3-5">
<title>Surgical procedure</title>
<p>Full-thickness wounds were created as described previously [<xref ref-type="bibr" rid="B27">27</xref>]. Briefly, 22 days after the last STZ injection, mice were preoperatively given a subcutaneous injection of buprenorphine (Bupaq multidose vet 0.1&#xa0;mg/kg, Ritchter Pharma) and carprofen (Rimadyl vet 16&#xa0;mg/kg, Zoetis) and anesthetized before the surgical procedure with isoflurane (3.5% Attane Vet 1,000&#xa0;mg/g). Prior to incision, infiltrative local anesthesia of lidocaine (Lidocaine 4&#xa0;mg/kg, Baxter) was applied under the skin. Rimadyl was also administered 6&#x2013;8&#xa0;h after surgery and every 10&#x2013;13&#xa0;h on study days 1 and 2 as a postoperative treatment. Surgical sites were disinfected with a skin disinfectant, and incisions were made on both sides of the animal&#x2019;s back with sterile scissors and tweezers, first to the right side and then to the left side. The veterinarian was blinded from the dosing sites of the treatment. The wounds were measured, and photographs were taken immediately after surgery. After applying the model treatments on the right side and saline as a control on the left side, wounds were covered with transparent, non-occlusive polyurethane film.</p>
<p>A total of nine mice underwent surgery since one animal was hypoglycemic on the operation day (blood glucose &#x3c;1.0&#xa0;mmol/L) and had a decreased level of consciousness. The animal was treated with 0.5&#xa0;mL of 10% sugar-water solution (D-sucrose, p.o.) and honey on the mouth mucous membranes. After 1&#xa0;h, the animal was given 0.2&#xa0;mL of 50% sugar solution. After 50&#xa0;min of the last sugar application, the blood glucose level was 4.7&#xa0;mmol/L. Subsequently, 10% sugar solution was provided <italic>ad libitum</italic>. After 3&#xa0;h, the blood glucose level was 24.0&#xa0;mmol/L. Blood sugar levels and insulin treatment were later performed in the same way as with animals that underwent surgery for welfare purposes, but are not plotted in the figures.</p>
</sec>
<sec id="s3-6">
<title>Wound monitoring</title>
<p>The length and width of the wounds were measured immediately after their creation and on study days 2, 5, 6, 8, 10, 12, and 14 using our previously published protocol with a calibrated digital caliper (Mitutoyo 0&#x2013;150&#xa0;mm) [<xref ref-type="bibr" rid="B27">27</xref>]. The analyst measured the wounds as a one-time method to keep the objectivity of the wound measurements. The wound area was calculated with the following equation according to Moreira et al. [<xref ref-type="bibr" rid="B30">30</xref>]:<disp-formula id="e1">
<mml:math id="m3">
<mml:mrow>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mtext>Wound&#x2009;length</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x00D7;</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="|">
<mml:mrow>
<mml:mtext>wound&#x2009;width</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mn>2</mml:mn>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mo>&#x00D7;</mml:mo>
<mml:mtext>&#x2009;</mml:mtext>
<mml:mi mathvariant="normal">&#x3c0;</mml:mi>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>At the end of the study, mice were weighed, all macroscopic abnormalities at the wound site were recorded, and photographs of the wounds were taken. Blood samples (ca. 600&#xa0;&#x3bc;L) were taken by heart puncture under isoflurane anesthesia in K2E Microtainer tubes (Becton Dickinson, United States, NJ, lot 4174515) for hematological analyses, which were implemented as blinded with sample coding without identifying the wound. Hematology test analyses were performed in EDTA blood tubes according to the protocol of Central Animal Laboratory using VetScan HM5 hematological analyses (Abaxis, United States). A piece of skin (1&#xa0;cm<sup>2</sup>), including the wound site, was removed and placed into 10% phosphate buffered neutral formalin (Oy Reagena Ltd, Finland, lot CB19/1). Subsequently, tissue samples were embedded in paraffin and cut into 4&#xa0;&#xb5;m sections for further histopathological analyses.</p>
</sec>
<sec id="s3-7">
<title>Thermal monitoring of the wounds</title>
<p>For wound temperature monitoring, a Thermidas IRT-384 Tablet (Vet VistaClinic, Software 1.4.2, Thermidas Oy, Tampere, Finland) was used. Images were taken in the same operating room (ambient temperature of 21&#x2013;23&#xa0;&#xb0;C) within a 2-hour period on days 0, 2, 5, 6, 8, 10, 12, and 14&#xa0;at the same time as the weight and wound measurements. Before imaging the mice, a blank image from the operating room table was taken to calibrate the temperature range. Images were taken approximately 15 cm from the animal. Animals were anesthetized before imaging, and the total operation time was approximately 4&#xa0;min per animal. The thermal resolution of the images was 384 &#xd7; 288 pixels. The temperature of the wounds was compared to healthy skin on the same animal.</p>
</sec>
<sec id="s3-8">
<title>Histopathology and immunohistochemistry</title>
<p>Wound tissue sections (4&#xa0;&#xb5;m thickness) were stained with hematoxylin and eosin (HE) for histological examination. A veterinary pathologist (J.L.) blinded to the sample identity assessed the staining. Masson&#x2019;s trichrome (MT) staining was used to evaluate collagen deposition by calculating the blue color intensity of the wound area.</p>
<p>Immunostaining was performed as reported previously by Koivuniemi et al. [<xref ref-type="bibr" rid="B31">31</xref>] and Koivunotko et al. [<xref ref-type="bibr" rid="B27">27</xref>]. Briefly, tissue sections were deparaffinized (3 <inline-formula id="inf3">
<mml:math id="m4">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 2&#xa0;min in xylene, 2 <inline-formula id="inf4">
<mml:math id="m5">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 10&#xa0;min in 100% ethanol, 2 <inline-formula id="inf5">
<mml:math id="m6">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 10&#xa0;min in 94% ethanol and 2 <inline-formula id="inf6">
<mml:math id="m7">
<mml:mrow>
<mml:mo>&#xd7;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 5&#xa0;min in distilled H<sub>2</sub>O). Antigen retrieval was carried out in 10&#xa0;mM citrate buffer (Merck, Germany) with 0.05% Tween 20 solution (Merck) (pH 6) at 99&#xa0;&#xb0;C for 3 &#xd7; 10&#xa0;min. After antigen retrieval, endogenous peroxidase activity was blocked with 3% H<sub>2</sub>O<sub>2</sub> (Merck) for 10&#xa0;min. Sections were then blocked for 1&#xa0;h in 5% bovine serum albumin (BSA, Merck) in Tris-buffered saline with Tween 20 (TBS-T, Merck). Next, sections were blocked with endogenous biotin (Avidin/Biotin blocking kit, Vector Laboratories, CA, USA) for 15&#xa0;min with Avidin first and then 15&#xa0;min with Biotin.</p>
<p>Tissue sections were incubated overnight at 4&#xa0;&#xb0;C with anti-rabbit CD31/platelet endothelial cell adhesion molecule (CD31/PECAM-1, 1:100, CAT: NB100&#x2013;2284, Novus Biologicals, UK) or 1&#xa0;h at room temperature with anti-rabbit ionized calcium-binding adaptor molecule 1 (Iba-1, 1:500, CAT: 019-19741, FujiFilm, USA) or anti-rabbit lysozyme (LZM, 1:1000, CAT: A0099, Agilent, CA, USA) as a primary antibody in 3% BSA/TBS-T. After washing with TBS-T, tissue sections were stained for 1&#xa0;h at room temperature with goat anti-rabbit IgG as biotinylated secondary antibody (1:1000 for CD31 and 1:200 for Iba1 and LZM, Abcam, UK) in 3% BSA/TBS-T. VECTASTAIN Elite ABC reagents (Vector Laboratories) were used for antibody detection by staining the tissue sections for 30&#xa0;min at room temperature, after which they were treated with 3,3&#x2032;-diaminobenzidine (DAB) HRP substrate treatment (Vector Laboratories). All stained tissue sections were counterstained with hematoxylin, dehydrated, and covered with cover clips using a mounting medium (Coverquick 2000, VWR International, PA, USA).</p>
<p>Histoscanning was performed with a Pannoramic 250 Flash III brightfield digital slide scanner (3DHISTECH Ltd., Hungary) at the Histoscanner core facility (University of Helsinki) using the updated coding from the original one to increase the blindness of the image analyses. The thickness and length of the neo-epithelium and dermis were measured with CaseViewer (3DHISTECH Ltd., version 2.4). The intensity of the stained fibrous connective tissue and macrophage infiltration was evaluated using object and pixel classifications in QuPath 0.4.3 software [<xref ref-type="bibr" rid="B32">32</xref>]. To compare the results from the prolonged wound healing model with the previously described acute wound model using the same histopathological staining protocol [<xref ref-type="bibr" rid="B27">27</xref>], acute wound tissue section analyses were repeated with the same threshold settings. Thresholds in different analyses were as follows: 0.4 for iba-1 and LZM staining, 0.15 for CD-31 staining, 0.64 for MT staining.</p>
</sec>
<sec id="s3-9">
<title>Statistical analyses</title>
<p>The data are presented as mean standard deviation (STDEV). For the normally distributed data, statistical significance was determined with an unpaired t-test for two variables and a one-way ANOVA and Tukey HSD <italic>post hoc</italic> test for others. To evaluate the effects of glucose levels [defined as low (&#x3c;23.4&#xa0;mmol/L) and high (&#x3e;23.4&#xa0;mmol/L)] on the results, multivariate analyses were performed with a Wilks&#x2019; Lambda test. Significance was concluded when &#x2a;p &#x3c; 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001, or &#x2a;&#x2a;&#x2a;&#x2a;p &#x3c; 0.0001.</p>
</sec>
</sec>
<sec sec-type="results" id="s4">
<title>Results</title>
<sec id="s4-1">
<title>Diabetes was successfully induced in all 10 animals</title>
<p>Diabetes was induced in all animals (blood glucose level <inline-formula id="inf7">
<mml:math id="m8">
<mml:mrow>
<mml:mfenced open="" close=")" separators="|">
<mml:mrow>
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
<mml:mn>15</mml:mn>
<mml:mtext>&#x2009;mmol</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mi mathvariant="normal">L</mml:mi>
</mml:mrow>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:math>
</inline-formula> within 21 days after the first STZ bolus injection. In this study, animals were not fasted before STZ injections or before blood glucose measurements. The blood glucose measurements were performed daily or twice daily to ensure animal welfare and titrate the insulin dose for each animal. The mean blood glucose level on the last experimental day was 27&#xa0;mmol/L (STDEV 4.1&#xa0;mmol/L), which was significantly increased (p &#x3c; 0.001) compared to the 16 days prior to surgery (<xref ref-type="fig" rid="F1">Figure 1A</xref>). Based on clinical monitoring and weight (<xref ref-type="fig" rid="F1">Figure 1B</xref>), even animals with high blood glucose levels (&#x3e;30&#xa0;mmol/L) were in good condition during the whole experiment. The non-significant weight decrease (3&#x2013;9%) in some animals was correlated with higher blood glucose (&#x3e;23.4&#xa0;mmol/L) but was insignificant in multivariate analyses (p &#x3d; 0.085).</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>Mean blood glucose concentration (n &#x3d; 9) <bold>(A)</bold> and mean weight (n &#x3d; 9) <bold>(B)</bold> of animals throughout the experiment before and after surgery. Error bars indicate STDEV, and significance was calculated using one-way ANOVA (ns: p <inline-formula id="inf8">
<mml:math id="m9">
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.05, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001).</p>
</caption>
<graphic xlink:href="ebm-251-10857-g001.tif">
<alt-text content-type="machine-generated">Panel A shows a line chart with error bars depicting a significant increase in average blood glucose levels from day minus sixteen to day fourteen after wound creation. Panel B presents a line chart with error bars indicating no significant change in average weight over the same period.</alt-text>
</graphic>
</fig>
<p>Hematological analyses showed increased values in most of the measured parameters (<xref ref-type="table" rid="T2">Table 2</xref>) when compared with the acute wound model [<xref ref-type="bibr" rid="B27">27</xref>]. In the case of hematocrit, mean corpuscular hemoglobin, plateletcrit, and the total concentration of monocytes and neutrophils, no changes (less than 0.5-unit difference) were observed between the models. On the other hand, mean corpuscular volume, red blood cell distribution, and percentage of lymphocytes were decreased. However, no clinically relevant differences were observed.</p>
<table-wrap id="T2" position="float">
<label>TABLE 2</label>
<caption>
<p>Hematological analyses of total blood samples after a prolonged wound healing model experiment. The results from the previous acute wound model in SKH1 [<xref ref-type="bibr" rid="B27">27</xref>] with informed reference values are presented on the right-hand side of the table.</p>
</caption>
<table>
<thead valign="top">
<tr>
<th align="left">Parameter</th>
<th align="left">Unit</th>
<th align="left">Value, mean (STDEV n &#x3d; 9)</th>
<th align="left">Previous acute wound model value (n &#x3d; 3&#x2013;6)</th>
<th align="left">Reference value [<xref ref-type="bibr" rid="B33">33</xref>&#x2013;<xref ref-type="bibr" rid="B35">35</xref>]</th>
</tr>
</thead>
<tbody valign="top">
<tr>
<td align="left">WBC- White blood cell</td>
<td align="left">10<sup>9</sup>/L</td>
<td align="left">5.6 (2.5)</td>
<td align="left">4.1 (1.5)</td>
<td align="left">9.3 (1.8)</td>
</tr>
<tr>
<td align="left">RBC- Red Blood Cell</td>
<td align="left">10<sup>12</sup>/L</td>
<td align="left">11.1 (0.3)</td>
<td align="left">9.9 (2.1)</td>
<td align="left">9.4 (0.4)</td>
</tr>
<tr>
<td align="left">HGB- Hemoglobin</td>
<td align="left">g/L</td>
<td align="left">157.6 (7.5)</td>
<td align="left">142 (186.7)</td>
<td align="left">120 (10.2)</td>
</tr>
<tr>
<td align="left">HCT- Hematocrit</td>
<td align="left">%</td>
<td align="left">52.4 (4.0)</td>
<td align="left">52.9 (4.1)</td>
<td align="left">49.4 (2.2)</td>
</tr>
<tr>
<td align="left">MCV- Mean Corpuscular Volume</td>
<td align="left">fl</td>
<td align="left">47.2 (3.0)</td>
<td align="left">53.7 (2.3)</td>
<td align="left">53.9 (2.4)</td>
</tr>
<tr>
<td align="left">MCH- Mean Corpuscular Hemoglobin</td>
<td align="left">pg</td>
<td align="left">14.2 (0.4)</td>
<td align="left">14.4 (0.6)</td>
<td align="left">17.1 (0.4)</td>
</tr>
<tr>
<td align="left">MCHC- Mean Corpuscular Hemoglobin Concentration</td>
<td align="left">g/L</td>
<td align="left">301.9 (15.5)</td>
<td align="left">268 (16.6)</td>
<td align="left">317.4 (9.8)</td>
</tr>
<tr>
<td align="left">PLT- Platelet</td>
<td align="left">10<sup>9</sup>/L</td>
<td align="left">431.2 (95.8)</td>
<td align="left">335 (36.5)</td>
<td align="left">285&#x2013;890</td>
</tr>
<tr>
<td align="left">PCT- Plateletcrit</td>
<td align="left">%</td>
<td align="left">0.3 (0.1)</td>
<td align="left">0.2 (0.02)</td>
<td align="left">N/Av</td>
</tr>
<tr>
<td align="left">MPV- Mean Platelet Volume</td>
<td align="left">fl</td>
<td align="left">6.6 (0.4)</td>
<td align="left">6.1 (0.9)</td>
<td align="left">4.6 (0.1)</td>
</tr>
<tr>
<td align="left">PDWs- Platelet Distribution Width</td>
<td align="left">fl</td>
<td align="left">7.4 (0.4)</td>
<td align="left">6.4 (1.8)</td>
<td align="left">7.7 (1.1)</td>
</tr>
<tr>
<td align="left">PDWc- Platelet Distribution Width</td>
<td align="left">%</td>
<td align="left">28.4 (0.7)</td>
<td align="left">26.6 (3.2)</td>
<td align="left">N/Av</td>
</tr>
<tr>
<td align="left">RDWs- Red blood cell Distribution</td>
<td align="left">fl</td>
<td align="left">32.7 (1.7)</td>
<td align="left">38.3 (1.2)</td>
<td align="left">29.1 (3.3)</td>
</tr>
<tr>
<td align="left">RDWc- Red blood cell Distribution</td>
<td align="left">%</td>
<td align="left">21.6 (0.5)</td>
<td align="left">19.9 (0.8)</td>
<td align="left">16.4 (0.4)</td>
</tr>
<tr>
<td align="left">LYM- Lymphocytes</td>
<td align="left">10<sup>9</sup>/L</td>
<td align="left">4.1 (2.1)</td>
<td align="left">3.6 (1.7)</td>
<td align="left">5.7 (1.3)</td>
</tr>
<tr>
<td align="left">MON- Monocytes</td>
<td align="left">10<sup>9</sup>/L</td>
<td align="left">0.2 (0.1)</td>
<td align="left">0.2 (0.1)</td>
<td align="left">0.6 (0.2)</td>
</tr>
<tr>
<td align="left">NE- Neutrophils</td>
<td align="left">10<sup>9</sup>/L</td>
<td align="left">1.3 (0.6)</td>
<td align="left">1.0 (0.1)</td>
<td align="left">N/Av</td>
</tr>
<tr>
<td align="left">LY%- Lymphocytes</td>
<td align="left">%</td>
<td align="left">71.9 (7.3)</td>
<td align="left">73.8 (3.4)</td>
<td align="left">61.5 (6.9)</td>
</tr>
<tr>
<td align="left">MO%- Monocytes</td>
<td align="left">%</td>
<td align="left">4.8 (2.2)</td>
<td align="left">4.9 (2.5)</td>
<td align="left">6.1 (1.3)</td>
</tr>
<tr>
<td align="left">NE%- Neutrophils</td>
<td align="left">%</td>
<td align="left">23.3 (6.0)</td>
<td align="left">21.3 (10.2)</td>
<td align="left">N/Av</td>
</tr>
<tr>
<td align="left">EOS- Eosinophils<break/>EO%- Eosinophils<break/>BAS- Basophils<break/>BA%- Basophils</td>
<td align="left">10<sup>9</sup>/L<break/>%<break/>10<sup>9</sup>/L<break/>%</td>
<td align="left">0.0</td>
<td align="left">0.0</td>
<td align="left">N/Av<break/>0.6 (0.2)<break/>0.0 (0.0)<break/>0.0 (0.0)</td>
</tr>
</tbody>
</table>
</table-wrap>
</sec>
<sec id="s4-2">
<title>Wounds were closed by day 14</title>
<p>The endpoint of the experiment was on day 14, during which the first closed wounds were observed (&#x3c;5&#xa0;mm<sup>2</sup>) (<xref ref-type="disp-formula" rid="e1">Equation 1</xref>). No significant differences in wound closure, epithelialization, or fibrous tissue thickness between model treatment and control groups were observed (<xref ref-type="fig" rid="F2">Figures 2A&#x2013;C</xref>). The mean epithelium length in tissue samples was 1271&#xa0;&#xb5;m in treated wounds and 1207&#xa0;&#xb5;m in controls. The mean fibrous tissue thickness measured from the dermis site was 385&#xa0;&#xb5;m in treated wounds and 348&#xa0;&#xb5;m in control wounds. Histological evaluation of the HE-stained sections by the pathologist (J.L) showed regrown epidermis to cover the wound areas in all mice, often exhibiting minimal to mild epidermal hyperplasia. Model treatment was present extracellularly as large homogenous translucent depots occupying over half of the wound area in most treated samples.</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>Measurements of wound size over time (n &#x3d; 4 in treatment group, n &#x3d; 9 in control group) <bold>(A)</bold>, mean length of neo-epithelium (n &#x3d; 4 in treatment group, n &#x3d; 6 in control group) <bold>(B)</bold>, mean thickness of dermal fibrous tissue (n &#x3d; 4 in treatment group, n &#x3d; 6 in control group) <bold>(C)</bold>, and mean wound site temperature (n &#x3d; 4 in treatment group, n &#x3d; 9 in control group) with temperature differences (&#xb0;C) compared with healthy skin presented in a table <bold>(D)</bold>. Error bars indicate STDEV, and significance was calculated using unpaired t-test and one-way ANOVA (ns: p <inline-formula id="inf9">
<mml:math id="m10">
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.05, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001, &#x2a;&#x2a;&#x2a;&#x2a;p &#x3c; 0.0001).</p>
</caption>
<graphic xlink:href="ebm-251-10857-g002.tif">
<alt-text content-type="machine-generated">Four-panel scientific figure comparing chronic wound healing metrics. Panel A: Bar graph shows wound closure over fourteen days for chronic treatment and control groups, with similar wound size reduction and all comparisons marked as not significant. Panel B: Bar graph displays comparable neoepthelium lengths between treatment and control with no significant difference. Panel C: Bar graph presents similar fibrous dermal thickness between groups with no significant difference. Panel D: Bar graph compares wound temperatures in chronic treatment, chronic control, and healthy skin at days zero, two, six, and fourteen, with significant differences seen initially but not at later time points, and a table summarizing temperature changes.</alt-text>
</graphic>
</fig>
<p>The wound area treated with model treatment showed significantly decreased temperature during the first week compared with healthy skin temperatures (8&#xa0;&#xb0;C lower temperature on day 0, 2&#xa0;&#xb0;C on day 6, <xref ref-type="fig" rid="F2">Figure 2D</xref>; <xref ref-type="sec" rid="s13">Supplementary Material 1</xref>). In addition, treated wounds were 3&#xa0;&#xb0;C colder compared with control wounds on day 0.</p>
</sec>
<sec id="s4-3">
<title>Blood vessel formation at the wound site</title>
<p>The presence of newly formed blood vessels was measured from CD31 stained histopathological samples. The percentual contrast area of the CD31 staining in wounds was &#x3e;5% in all wounds (<xref ref-type="fig" rid="F3">Figure 3</xref>). In addition, the analyses were also performed for previous histopathological samples from the acute wound model on day 9 [<xref ref-type="bibr" rid="B27">27</xref>], but no significant differences were observed between CD31 stained tissue samples. In wounds with model treatment, standard deviation was higher than in control groups.</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>The contrast measurements of CD31-stained vessels in treated chronic wounds <bold>(A)</bold> and chronic control wounds <bold>(B)</bold>. The dotted arrow indicates model treatment (nanofibrillated cellulose hydrogel), and the solid arrow indicates an example of a stained vessel. Percentual area of the CD31-stained vessels (n &#x3d; 4 for chronic treatment, n &#x3d; 6 for chronic control) <bold>(C)</bold>. Analyses were also performed for previously obtained histopathological samples (n &#x3d; 5 for acute treatment, n &#x3d; 5 for acute control) [<xref ref-type="bibr" rid="B27">27</xref>]. Scale bar 100&#xa0;&#x3bc;m. Error bars indicate STDEV, and significance was calculated using one-way ANOVA (ns: p <inline-formula id="inf10">
<mml:math id="m11">
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.05).</p>
</caption>
<graphic xlink:href="ebm-251-10857-g003.tif">
<alt-text content-type="machine-generated">Panel A shows a histological section labeled chronic treatment with a dotted arrow highlighting the model treatment site, while panel B shows a an example of a blood vessel labeled in the chronic control with a solid arrow; panel C presents a bar graph of CD-31 stained area percentage across chronic treatment, chronic control, acute treatment, and acute control groups, with no significant differences (ns) between the groups as indicated by the bars above.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s4-4">
<title>Increased infiltration of macrophages with higher activity in prolonged wound healing model</title>
<p>Macrophage cell infiltration was evaluated with both total macrophage staining (Iba-1) and active macrophage staining (LZM) (<xref ref-type="fig" rid="F4">Figures 4A&#x2013;D</xref>). The contrast analyses were also performed for previously obtained Iba-1 and LZM stained histopathological samples from the acute wound model on experimental day 9 [<xref ref-type="bibr" rid="B27">27</xref>] (<xref ref-type="fig" rid="F4">Figures 4E,F</xref>). The treated chronic wound showed the highest presence of macrophages at the wound site [24.8% (<inline-formula id="inf11">
<mml:math id="m12">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 6.6%)]. Despite the treatment conditions, chronic wounds showed significantly increased presence of macrophages with higher activity [10.2 (<inline-formula id="inf12">
<mml:math id="m13">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 6.2%) and 16.23% (<inline-formula id="inf13">
<mml:math id="m14">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 1.7%)] when compared with acute wounds [0.3% (<inline-formula id="inf14">
<mml:math id="m15">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.2%) and 2.2% (<inline-formula id="inf15">
<mml:math id="m16">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.9%); p &#x3d; 0.003 between treatment groups, p &#x3d; 0.009 between control groups, p &#x3d; 0.0005 chronic treatment vs. acute control].</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>The presence of macrophages in total stained with Iba-1 <bold>(A,C)</bold> and active macrophages stained with LZM <bold>(B,D)</bold>. Upper tissue sample images are from treated chronic wounds and lower ones from chronic control wounds. Percentual area of the iba-1 stained macrophages (n &#x3d; 4 for chronic treatment, n &#x3d; 6 for chronic control, n &#x3d; 6 for acute treatment, n &#x3d; 4 for acute control) <bold>(E)</bold> and LZM stained macrophages (n &#x3d; 4 for chronic treatment, n &#x3d; 7 for chronic control) <bold>(F)</bold>. Analyses were also performed for previously obtained histopathological samples (n &#x3d; 3 for acute treatment, n &#x3d; 4 for acute control) [<xref ref-type="bibr" rid="B27">27</xref>] <bold>(C)</bold>. Scale bar 200&#xa0;&#xb5;m. Error bars indicate STDEV, and significance was calculated using one-way ANOVA (ns: p <inline-formula id="inf16">
<mml:math id="m17">
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.05, &#x2a;&#x2a;p &#x3c; 0.01, &#x2a;&#x2a;&#x2a;p &#x3c; 0.001).</p>
</caption>
<graphic xlink:href="ebm-251-10857-g004.tif">
<alt-text content-type="machine-generated">Four histological images labeled A and B as chronic treatment and C and D as chronic control show tissue cross-sections stained for macrophage presence (Iba-1) and activity (LZM); scale bars represent two hundred micrometers. Bar graphs E and F show quantification, with E displaying Iba-1 stained area percentage for total macrophages and F showing LZM stained area percentage for active macrophages, both comparing chronic and acute treatment versus control with significant differences indicated by asterisks and nonsignificant results marked as ns.</alt-text>
</graphic>
</fig>
<p>In the histological examination the treated wounds showed a stereotyped moderate inflammatory reaction, consisting of a thin rim of macrophages surrounding and infiltrating the hydrogel depots and single macrophages that contained modest amount of foamy hydrogel material as well as a moderate macrophage and lymphocyte infiltrate outside of the depots. Very few multinucleated giant cells were present. In comparison, most control wounds displayed mild to moderate mononuclear inflammatory cell infiltrate in the wound area.</p>
<p>Notably, most samples, regardless of treatment, exhibited pronounced, focally extensive hypodermal and deep dermal pyogranulomatous inflammation affecting damaged hair follicles and sebaceous glands (<xref ref-type="sec" rid="s13">Supplementary Material 2</xref>). Granuloma formation was most prevalent at the wound borders and displayed a striking increase compared to the acute wound model [<xref ref-type="bibr" rid="B27">27</xref>].</p>
</sec>
<sec id="s4-5">
<title>Collagen deposition was slowed down in prolonged wound healing model</title>
<p>The blue color density of histopathological MT samples was measured to evaluate collagen deposition at wound sites (<xref ref-type="fig" rid="F5">Figure 5</xref>). Based on the contrast analyses of chronic wounds on day 14 (<xref ref-type="fig" rid="F5">Figures 5A,B</xref>) and acute wounds on day 9, collagen deposition was significantly lower (12.2 <inline-formula id="inf17">
<mml:math id="m18">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.09% and 23.7<inline-formula id="inf18">
<mml:math id="m19">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.1%) in chronic wounds compared with treated acute wounds (43.2%<inline-formula id="inf19">
<mml:math id="m20">
<mml:mrow>
<mml:mo>&#xb1;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 18.6%; p &#x3d; 0.003 between treatment groups, p &#x3d; 0.004 chronic control vs. acute treatment) (<xref ref-type="fig" rid="F5">Figure 5C</xref>). Higher blood glucose levels (&#x3e;23.4&#xa0;mmol/L) correlated with lower collagen deposition (p &#x3c; 0.01).</p>
<fig id="F5" position="float">
<label>FIGURE 5</label>
<caption>
<p>Masson trichrome analyses of treated chronic wounds <bold>(A)</bold> and control wounds <bold>(B)</bold>. Collagen deposition was measured from blue staining intensity (n &#x3d; 4 for chronic treatment, n &#x3d; 7 for chronic control) <bold>(C)</bold>. Analyses were also performed for previously obtained histopathological samples (n &#x3d; 4 for acute treatment, n &#x3d; 5 for acute control) [<xref ref-type="bibr" rid="B27">27</xref>]. Scale bar 200&#xa0;&#x3bc;m. Error bars indicate STDEV, and significance was calculated using one-way ANOVA (ns: p <inline-formula id="inf20">
<mml:math id="m21">
<mml:mrow>
<mml:mo>&#x2265;</mml:mo>
</mml:mrow>
</mml:math>
</inline-formula> 0.05, &#x2a;&#x2a;p &#x3c; 0.01).</p>
</caption>
<graphic xlink:href="ebm-251-10857-g005.tif">
<alt-text content-type="machine-generated">Panel A shows a histological section labeled &#x22;chronic treatment&#x22; MT staining, while Panel B shows a similar section labeled &#x22;chronic control.&#x22; Panel C presents a bar graph comparing collagen deposition color intensity across four groups: chronic treatment, chronic control, acute treatment, and acute control, with acute treatment showing the highest intensity and significant differences marked by double asterisks.</alt-text>
</graphic>
</fig>
<p>Histological evaluation revealed plump horizontally orienting fibroblasts and palely staining collagen in the regenerating dermal connective tissue in both control and treated samples, suggesting maturing fibrous tissue with subjectively scarce collagen formation as well as sparse to moderate neovascularization (<xref ref-type="sec" rid="s13">Supplementary Material 2</xref>). One control wound exhibited granulation tissue and one treated wound immature collagenous connective tissue.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s5">
<title>Discussion</title>
<p>In this study, diabetes was successfully induced in all tested SKH1 mice. Furthermore, successfully prolonged full-thickness wound healing was observed in all surgical animals when compared to our previously described acute full-thickness wound model with the same surgical procedure and mouse strain [<xref ref-type="bibr" rid="B27">27</xref>]. SKH1 mouse is an outbred, euthymic, and immunocompetent strain and, due to the hairless skin, suitable as a wound model [<xref ref-type="bibr" rid="B23">23</xref>]. Male mice were used for their susceptibility to STZ induced cytotoxicity in pancreatic islet &#x3b2;-cells compared to females [<xref ref-type="bibr" rid="B36">36</xref>]. This likely enabled the successful induction of diabetes in all mice (blood glucose concentration &#x2265;15&#xa0;mmol/L). Normal blood glucose concentration in C57BL/6J mice is between 5.5 and 11&#xa0;mmol/L, which was used as a reference value [<xref ref-type="bibr" rid="B37">37</xref>]. Using a small needle and aspiration technique, no animals showed clinical symptoms due to failed STZ injection (The total number of STZ injections was 50, 5 per mouse). The repeated low STZ dose approach was chosen based on reported outcomes of single high-dose STZ (150&#x2013;200&#xa0;mg/kg IP), which induces a high acute mortality risk, often due to severe hypoglycemia and systemic toxicity [<xref ref-type="bibr" rid="B28">28</xref>]. The low-dose STZ approach only partially damages pancreatic islets, triggering an inflammatory process that causes the further loss of &#x3b2;-cell activity that ultimately results in insulin deficiency and hyperglycemia. The graphical summary comparing the outcomes of the previous acute wound model and prolonged wound healing model is presented in <xref ref-type="fig" rid="F6">Figure 6</xref>.</p>
<fig id="F6" position="float">
<label>FIGURE 6</label>
<caption>
<p>Graphical summary of the comparison between the acute wound model and prolonged wound healing model implemented in SKH1 mice.</p>
</caption>
<graphic xlink:href="ebm-251-10857-g006.tif">
<alt-text content-type="machine-generated">Infographic compares acute wound healing at day nine and prolonged healing at day fourteen. Acute wound healing shows higher collagen deposition and lower macrophage activity. Prolonged wound healing shows pyogranulomatous inflammation, damaged hair follicles, and hyperglycemia-induced delayed healing. In addition, the figure illustrates the hydrogel's cooling the skin and the impact of STZ on beta cells.</alt-text>
</graphic>
</fig>
<p>In addition, animal welfare was closely monitored throughout the study by daily assessment of weight, behavior, and the risk of insulin dose-related hypoglycemia, all while maintaining on <italic>ad libitum</italic> diet. Since STZ induction has been reported to be equally diabetogenic to fed or fasted mice, fasting was not necessary in this model [<xref ref-type="bibr" rid="B38">38</xref>, <xref ref-type="bibr" rid="B39">39</xref>]. This approach adheres to humane endpoints and ensures consistency across experimental conditions, facilitating reliable comparisons between prolonged and acute wound models under future standardized settings. However, it should be addressed that STZ induction produces hyperglycemic conditions similar to type 1 diabetes, while diabetic chronic wounds are often associated with type 2 diabetes due to metabolic syndrome, obesity, and insulin resistance. STZ induction of diabetes was selected in this case as it offers a controlled and non-transgenic approach, which helps to improve standardization when compared with genetically modified obese mouse strains or high-fat diet-based models alone. In future, a combined STZ induction and high-fat diet model could produce a diabetic chronic wound model with the characteristics of type-2 diabetes [<xref ref-type="bibr" rid="B40">40</xref>, <xref ref-type="bibr" rid="B41">41</xref>].</p>
<p>In addition to blood glucose level monitoring, hematological parameters were measured at the end of the experiment. Based on the hematological parameters, a slight increase in the number of white blood cells, red blood cells and platelets were observed. However, these changes were not significantly different from our previous data [<xref ref-type="bibr" rid="B27">27</xref>] or reference values. A similar increase in these hematological values was observed in a study by Anggraeni et al. [<xref ref-type="bibr" rid="B42">42</xref>] where hematological parameters were studied in STZ induced diabetic mice with and without cogon grass treatment. However, most published <italic>in vivo</italic> models report inconsistent hematological data when comparing diabetic and healthy mice, making it difficult to draw definitive conclusions based on these parameters.</p>
<p>Higher blood glucose levels in SKH1 mice might have led to prolonged wound closure compared with similar size wounds in the acute wound healing model [<xref ref-type="bibr" rid="B27">27</xref>]. In prolonged wound healing models, wounds were only closed on day 14; this is 5 days longer than in acute wounds, which closed on day 9. The full-thickness wound creation was carried out as in our previous acute wound model reaching the muscle layer, partial destruction of which may lead to slower wound contraction. Similar observations have been made by Wyles et al. in which full-thickness wounds were created for C57BL/6 mice [<xref ref-type="bibr" rid="B43">43</xref>]. Chronic wounds were modeled by inducing oxidative stress with 3-amino-1,2,4-trizole and thiomalic acid as intraperitoneal injections, leading to slower wound contraction compared with non-injected mice. Although impaired wound closure is one characteristic in prolonged wound healing, wound closure in mice is affected by the <italic>panniculus carnosus</italic> and movement of the loose skin during surgical operation and wound covering. For this reason, other impaired wound healing-related factors, like re-epithelialization, reformation of extracellular matrix, angiogenesis and immunological changes are more reliable factors to study. The length of re-epithelialization and the thickness of the regenerating wound area were measured, which were not different to the acute wound healing model with or without model treatment. However, it is noteworthy that in the prolonged wound healing model, length and thickness values were measured on day 14 but on day 9 in the acute wound, correlating with the slower wound closure and healing. Reduced collagen deposition in quantitative analysis using MT-stained slides, along with histologically detected maturing fibrous tissue that exhibited subjectively scarce collagen formation on day 14, further attest to delayed healing, which might be related to the higher blood glucose levels that correlated with lower collagen deposition. Additionally, while the treatment model enhanced epithelialization compared to control in acute wounds, there was no difference in the prolonged wound healing setting. This underscores the importance of incorporating both acute and prolonged wound healing models in early preclinical studies to accurately assess the therapeutic potential of candidate treatments across diverse wound types.</p>
<p>Thermidas thermal imaging system was used to measure temperature changes in differently treated wounds and healthy skin. In general, temperature monitoring can non-invasively detect early diagnosis of prolonged inflammation, the state of angiogenesis and the total progress of wound healing. In addition, thermal analyses indicate treatment candidate effects on wound site which may reflect on healing outcome [<xref ref-type="bibr" rid="B44">44</xref>&#x2013;<xref ref-type="bibr" rid="B46">46</xref>]. In this study, temperature was significantly decreased in the treated wounds compared with healthy skin for 6 days after wound creation. Extreme temperature changes may perturb the progression of wound healing for instance by affecting cell functionality and degradation of proteins [<xref ref-type="bibr" rid="B47">47</xref>&#x2013;<xref ref-type="bibr" rid="B49">49</xref>]. However, these effects were not observed in the wound healing outcomes of this study. Interestingly, the high water content of the hydrogel-based model treatment lowered local wound temperature, suggesting potential as a first-aid cooling agent for wounds, such as burns or acutely inflamed wounds [<xref ref-type="bibr" rid="B50">50</xref>]. The thermal imaging system was successfully used to measure temperature in this <italic>in vivo</italic> model with sufficient sensitivity to detect temperature variations between wounded and healthy skin. To our knowledge, Thermidas has not previously been used in <italic>in vivo</italic> models, for which reason this study highlights potential novel applications for the thermal imaging instruments in research and clinical settings.</p>
<p>A key issue in diabetic prolonged or chronic wounds is disturbed blood vessel formation due to the effects of high blood glucose concentration on the endothelial cell functions [<xref ref-type="bibr" rid="B51">51</xref>]. This leads to insufficient oxygen and nutrient supply at the wound site and prolongs wound healing. According to Shaterian et al. [<xref ref-type="bibr" rid="B52">52</xref>], the progression of angiogenesis in a full-thickness acute wound model in C57/B16 mice treated with a collagen-based wound dressing showed the greatest presence of blood vessels between days 10 and 14 after which wound maturation begins. In our study, angiogenesis was evaluated based on the CD31-positive area in tissue sections. No significant differences were observed between prolonged and acute wound models in any treatment condition, and this similarity was also observed in the histological analysis. However, since the CD31 staining area was measured only after sacrifice of the animals (day 9 and 14 in the acute and prolonged wound healing models, respectively), a delay or a decrease in angiogenesis activity may only be inferred. Future studies should include all conditions in a single study and histologically compare angiogenesis on the same experimental day.</p>
<p>Another major factor in the progression of wound healing and activation of angiogenesis is the change in presence of pro-inflammatory macrophages into tissue regenerative ones, roughly categorized as M1 and M2 phenotypes [<xref ref-type="bibr" rid="B14">14</xref>, <xref ref-type="bibr" rid="B53">53</xref>]. In diabetic wounds, due to the infection, and increased blood glucose concentration, the ratio between these phenotypes is disturbed, leading to persistence of M1 and prolonged inflammation [<xref ref-type="bibr" rid="B54">54</xref>]. Although the presence of specific macrophage phenotypes was not analyzed in this study, we observed significant increases in the macrophage-stained area (Iba-1) [<xref ref-type="bibr" rid="B55">55</xref>] with higher expression of the LZM enzyme, which may be related to enhanced macrophage activity [<xref ref-type="bibr" rid="B56">56</xref>], when compared to our previous acute wound model [<xref ref-type="bibr" rid="B27">27</xref>]. Increased LZM immunostaining may also be associated with increased presence of neutrophils at the wound site and/or in the pyogranulomatous inflammatory foci, which could lead to prolonged active neutrophilic inflammation [<xref ref-type="bibr" rid="B56">56</xref>]. Interestingly, in addition to a generally modest macrophage reaction to the NFC hydrogel, the prolonged wound healing model exhibited excessive pyogranulomatous inflammation affecting hair follicles. Granuloma formation was markedly more severe than that observed in our previous acute wound model [<xref ref-type="bibr" rid="B27">27</xref>] or the hair follicle granuloma formation typical of the SKH1 hairless mice [<xref ref-type="bibr" rid="B23">23</xref>]. This prolonged pyogranulomatous inflammation likely originated from the wounding trauma and corroborates the increased LZM immunostaining. These observations suggest that the diabetic full-thickness wound model more closely resembles the characteristics of prolonged, compromised wound healing than the previously published acute wound healing model.</p>
<p>The imbalance in macrophage activity in wound healing may lead to increased levels of reactive oxygen species damaging the ECM during re-modeling [<xref ref-type="bibr" rid="B57">57</xref>]. In addition, a hyperglycemic environment increases protease levels [<xref ref-type="bibr" rid="B53">53</xref>] and disturbs cell-level crosstalk between macrophages and fibroblasts that has a role in producing collagen at the wound site [<xref ref-type="bibr" rid="B58">58</xref>]. In this study, collagen deposition was significantly lower despite the treatment conditions when compared with the treated acute wounds indicating prolonged wound healing in diabetic mice. Furthermore, the markedly different outcomes observed between treatment groups suggest that prolonged wounds or wounds with chronic characteristics may require therapeutic strategies focused on enhancing cellular functionality, rather than solely providing mechanical support and an optimal wound bed environment. This study highlights the importance of creating comparable preclinical models in highly heterogenous wound research, which could reveal different physiological outcomes with varying treatment needs.</p>
</sec>
<sec sec-type="conclusion" id="s6">
<title>Conclusion</title>
<p>To our knowledge, no previous published work has compared acute wound healing and diabetic prolonged wound healing in hairless SKH1 mice. This pilot study may show the suitability of SKH1 mice for studying full-thickness wound healing under different conditions. Diabetes was induced in all mice using repeated STZ induction without complications. The markedly prolonged wound closure time, elevated macrophage activity, and reduced collagen deposition reflected key features of chronic wounds. However, establishing a fully representative chronic wound model requires additional considerations, like reduced oxygen availability, and the potential influence of infection; these factors were not examined in this study. With careful monitoring, SKH1 mice may be used in future wound healing studies as acute and prolonged wound healing models that are highly tractable for STZ-induced diabetes. The sample size of this proof-of-concept study was deliberately small and relies on wound healing in SKH1 mice in previously published data. Therefore, studies with a larger sample size, including healthy control groups and other treatment candidates, should be performed in future. By offering the opportunity to generate standardized and reproducible <italic>in vivo</italic> models, the development of wound treatment candidates can be enhanced while adhering to the 3Rs principles.</p>
</sec>
</body>
<back>
<sec sec-type="author-contributions" id="s7">
<title>Author contributions</title>
<p>EK drafted the manuscript. EK, CP, and MM were responsible for validation. EK was responsible for visualization. EK, JM, and MM were responsible for methodology. EK, JM, JL, and MM conducted the investigation. EK, JL, and MM performed formal analysis. EK and JL were responsible for data curation. EK, CP, and MY conceptualized the experiments. RH and MY acquired funding and were responsible for supervision. MY was also responsible for resources and project administration. All authors contributed to the article and approved the submitted version.</p>
</sec>
<sec id="s8">
<title>Data availability</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec sec-type="ethics-statement" id="s9">
<title>Ethics statement</title>
<p>The animal experiments were approved by the National Project Authorization Board of Finland (license number ESAVI-25539-2024) and the study conformed to the following guidelines: DIRECTIVE 2010/63/EU of the European Parliament and the Council, Finnish Act (497/2013), and Government Decree on the Protection of Animals Used for Scientific or Educational Purposes (564/2013), and Guidance document on the Recognition, Assessment and Use of Clinical Signs as Humane endpoints for Experimental Animals Used in Safety Evaluation, Environmental Health and Safety Monograph Series on Testing and Assessment (No 19. OECD 2000).</p>
</sec>
<ack>
<title>Acknowledgements</title>
<p>The authors gratefully acknowledge the expert care provided by the personnel of Central Animal Laboratory, University of Turku. The authors also thank the Finnish Centre for Laboratory Animal Pathology (FCLAP) for histological sample processing and HE, MT, Iba-1, and LZM staining, as well as the Histoscanner core facility at the University of Helsinki for supporting histological analyses. Both FCLAP and the Histoscanner core facility are supported by HiLIFE and Biocenter Finland. The Figures were created with <ext-link ext-link-type="uri" xlink:href="http://Biorender.com">Biorender.com</ext-link>.</p>
</ack>
<sec sec-type="COI-statement" id="s11">
<title>Conflict of interest</title>
<p>MM was employed by the company Made Consulting Ltd Oy. EK was part of the Postdocs in Companies project in collaboration with UPM Kymmene. UPM Kymmene was not involved in the study design, collection, analysis, interpretation of data, the writing of this article or the decision to submit it for publication.</p>
<p>The remaining author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.</p>
</sec>
<sec sec-type="ai-statement" id="s12">
<title>Generative AI statement</title>
<p>The author(s) declared that generative AI was not used in the creation of this manuscript.</p>
<p>Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.</p>
</sec>
<sec sec-type="supplementary-material" id="s13">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.ebm-journal.org/articles/10.3389/ebm.2026.10857/full#supplementary-material">https://www.ebm-journal.org/articles/10.3389/ebm.2026.10857/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="DataSheet1.docx" id="SM1" mimetype="application/docx" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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