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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Cell. Infect. Microbiol.</journal-id>
<journal-title>Frontiers in Cellular and Infection Microbiology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Cell. Infect. Microbiol.</abbrev-journal-title>
<issn pub-type="epub">2235-2988</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3389/fcimb.2025.1645378</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Cellular and Infection Microbiology</subject>
<subj-group>
<subject>Original Research</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Lymphocyte loss and plasmacytosis are associated with IL-6- and TNF-producing cells in the spleens of fatal COVID-19 cases</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Mesquita</surname>
<given-names>Bianca Ramos</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Carvalho</surname>
<given-names>Lilian Verena da Silva</given-names>
</name>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
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<contrib contrib-type="author">
<name>
<surname>Baqueiro</surname>
<given-names>Leonardo Cardoso Gomes</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Brito</surname>
<given-names>Reginaldo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Pinto</surname>
<given-names>Luma Bahia Figueiredo</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
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<contrib contrib-type="author">
<name>
<surname>Hassegawa</surname>
<given-names>Erina Masayo Alves</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Fontes</surname>
<given-names>Jonathan Lu&#xed;s Magalh&#xe3;es</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
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<contrib contrib-type="author">
<name>
<surname>Figueira</surname>
<given-names>Cl&#xe1;udio Pereira</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Moura</surname>
<given-names>Eraldo Salustiano de</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Tavares</surname>
<given-names>Maria Brand&#xe3;o</given-names>
</name>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
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<contrib contrib-type="author">
<name>
<surname>Pagliari</surname>
<given-names>Carla</given-names>
</name>
<xref ref-type="aff" rid="aff5">
<sup>5</sup>
</xref>
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<contrib contrib-type="author">
<name>
<surname>Oliveira</surname>
<given-names>Geraldo G. S.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
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<contrib contrib-type="author" corresp="yes">
<name>
<surname>dos-Santos</surname>
<given-names>Washington L. C.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="author-notes" rid="fn001">
<sup>*</sup>
</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Laborat&#xf3;rio de Patologia Estrutural e Molecular, Instituto Gon&#xe7;alo Moniz, Funda&#xe7;&#xe3;o Oswaldo Cruz</institution>, <addr-line>Salvador</addr-line>,&#xa0;<country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Universidade Federal da Bahia, Faculdade de Medicina da Bahia</institution>, <addr-line>Salvador</addr-line>,&#xa0;<country>Brazil</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Instituto Couto Maia, Bahia State Health Secretary</institution>, <addr-line>Salvador</addr-line>,&#xa0;<country>Brazil</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Hospital do Sub&#xfa;rbio, Bahia State Health Secretary</institution>, <addr-line>Salvador</addr-line>,&#xa0;<country>Brazil</country>
</aff>
<aff id="aff5">
<sup>5</sup>
<institution>Departamento de Patologia, Universidade de S&#xe3;o Paulo, Faculdade de Medicina</institution>, <addr-line>S&#xe3;o Paulo</addr-line>,&#xa0;<country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>Edited by: Gilberto Vargas Alarc&#xf3;n, National Institute of Cardiology Ignacio Chavez, Mexico</p>
</fn>
<fn fn-type="edited-by">
<p>Reviewed by: Rafael B. Polidoro, Indiana University Bloomington, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2100679/overview">Sakthivel Govindaraj</ext-link>, Emory University, United States</p>
</fn>
<fn fn-type="corresp" id="fn001">
<p>*Correspondence: Washington L. C. dos-Santos, <email xlink:href="mailto:washington.santos@fiocruz.br">washington.santos@fiocruz.br</email>
</p>
</fn>
</author-notes>
<pub-date pub-type="epub">
<day>23</day>
<month>10</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="collection">
<year>2025</year>
</pub-date>
<volume>15</volume>
<elocation-id>1645378</elocation-id>
<history>
<date date-type="received">
<day>11</day>
<month>06</month>
<year>2025</year>
</date>
<date date-type="accepted">
<day>09</day>
<month>10</month>
<year>2025</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2025 Mesquita, Carvalho, Baqueiro, Brito, Pinto, Hassegawa, Fontes, Figueira, Moura, Tavares, Pagliari, Oliveira and dos-Santos.</copyright-statement>
<copyright-year>2025</copyright-year>
<copyright-holder>Mesquita, Carvalho, Baqueiro, Brito, Pinto, Hassegawa, Fontes, Figueira, Moura, Tavares, Pagliari, Oliveira and dos-Santos</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<sec>
<title>Background</title>
<p>The spleen undergoes changes during acute and chronic infections, which may contribute to immune dysregulation and disease aggravation. In fatal cases of COVID-19, pronounced splenic changes are noted. However, the role played by these alterations in patient mortality remains poorly understood. Objectives: We aim to characterize structural alterations and changes in splenic cell populations in fatal COVID-19 cases, as a potential substrate for immune dysfunction associated with bacterial coinfection and mortality in severe infectious diseases.</p>
</sec>
<sec>
<title>Methods</title>
<p>In this study, we characterized the histological and cellular changes observed in the spleens of nine patients who died from COVID-19. Spleens from five healthy individuals were used as a reference. Histopathological analysis and immunolabeling techniques were employed to evaluate tissue architecture, cell composition, cytokine production, and cell death.</p>
</sec>
<sec>
<title>Results</title>
<p>COVID-19-associated changes included atrophy of the white pulp (WP), reduced cellular density in the red pulp (RP), and reticular fiber fragmentation. Leukocyte phenotyping revealed substantial lymphocyte depletion across all splenic compartments, accompanied by plasma cell accumulation. These alterations correlated with increased numbers of IL-6- and TNF-producing cells. Additionally, a high density of TUNEL-positive cells indicated widespread cell death in the spleens of COVID-19 patients.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>These findings suggest that the spleen contributes to the inflammatory response in <italic>SARS-CoV-2</italic> infection, acting both as a source of inflammatory cytokines as well as a site of leukocyte, particularly lymphocyte, death both in association with the exacerbated release of IL-6 and TNF.</p>
</sec>
</abstract>
<kwd-group>
<kwd>spleen disorganization</kwd>
<kwd>TNF</kwd>
<kwd>IL-6</kwd>
<kwd>lymphocyte loss</kwd>
<kwd>COVID-19</kwd>
</kwd-group>
<contract-num rid="cn001">001</contract-num>
<contract-num rid="cn002">PET0005/2020</contract-num>
<contract-num rid="cn003">VPPCB-005-FIO-20-2-96</contract-num>
<contract-sponsor id="cn001">Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior<named-content content-type="fundref-id">10.13039/501100002322</named-content>
</contract-sponsor>
<contract-sponsor id="cn002">Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado da Bahia<named-content content-type="fundref-id">10.13039/501100006181</named-content>
</contract-sponsor>
<contract-sponsor id="cn003">Funda&#xe7;&#xe3;o Oswaldo Cruz<named-content content-type="fundref-id">10.13039/501100006507</named-content>
</contract-sponsor>
<contract-sponsor id="cn004">Instituto Oswaldo Cruz<named-content content-type="fundref-id">10.13039/501100024786</named-content>
</contract-sponsor>
<counts>
<fig-count count="6"/>
<table-count count="2"/>
<equation-count count="0"/>
<ref-count count="54"/>
<page-count count="12"/>
<word-count count="5233"/>
</counts>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-in-acceptance</meta-name>
<meta-value>Adaptive immunity in infection</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1" sec-type="intro">
<label>1</label>
<title>Introduction</title>
<p>The spleen is a secondary lymphoid organ responsible for surveillance against pathogens circulating in the blood (<xref ref-type="bibr" rid="B5">Bohnsack and Brown, 1986</xref>). Its microscopic structure consists of two compartments: white pulp (WP) and red pulp (RP), with a marginal zone (MZ) between the WP and RP. The splenic compartments undergo substantial changes during infections (<xref ref-type="bibr" rid="B35">Mebius and Kraal, 2005</xref>). The WP, responsible for initiating the immune response, usually presents lymphoid follicle (LF) hyperplasia and germinal center (GC) formation. Among other changes characteristic of different diseases, the memory cell pool may increase in the MZ, while the plasma cell population can rise in the RP (<xref ref-type="bibr" rid="B19">Hermida et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B30">Lewis et&#xa0;al., 2019</xref>).</p>
<p>In long-lasting infections, such as visceral leishmaniasis (VL), the spleen presents sequential changes that result in a large replacement of cell populations, followed by hyperplasia and/or atrophy, as well as the disruption of splenic compartments (<xref ref-type="bibr" rid="B43">Santana et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B46">Silva et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B47">Silva-O&#x2019;Hare et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B36">Melo et&#xa0;al., 2021</xref>). In acute severe infections, such as bacterial sepsis, changes in the spleen are mostly associated with the elimination of cell populations by different mechanisms of cell death (<xref ref-type="bibr" rid="B20">Hotchkiss et&#xa0;al., 2001</xref>; <xref ref-type="bibr" rid="B48">Toti et&#xa0;al., 2004</xref>; <xref ref-type="bibr" rid="B23">Ihlow et&#xa0;al., 2021</xref>).</p>
<p>While some knowledge has been accumulated on spleen changes in chronic diseases and how this organ may be involved in the maintenance of chronic infections (<xref ref-type="bibr" rid="B19">Hermida et&#xa0;al., 2018</xref>; <xref ref-type="bibr" rid="B29">Lenti et&#xa0;al., 2022</xref>), little is known about splenic alterations and associated consequences in the context of acute severe infections. An interesting study by <xref ref-type="bibr" rid="B21">Huston et&#xa0;al. (2008)</xref> showed that inhibiting cell death in the spleen prevented death in a murine model of experimental sepsis (<xref ref-type="bibr" rid="B21">Huston et&#xa0;al., 2008</xref>). This observation was further supported by treatment with cell death inhibitors, such as IL-7 and anti-PD-L1 (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2019</xref>). Thus, it follows that understanding how acute severe infections provoke changes in the spleen may aid in designing more effective strategies to better manage patients.</p>
<p>From 2019 to 2022, a disproportionate number of individuals died from COVID-19. The infection, caused by the <italic>SARS-CoV-2</italic>, evolved with severe acute respiratory syndrome, accompanied by coagulopathy and high immune system activation (<xref ref-type="bibr" rid="B22">Iba et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B52">Zanza et&#xa0;al., 2022</xref>). In the beginning of this period, approximately 20% of patients with severe COVID-19 died, with a mean time between disease onset and death lasting 17 days (<xref ref-type="bibr" rid="B6">Byrne et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B12">Dorjee et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B31">Linton et&#xa0;al., 2020</xref>). Some autopsy studies indicated that the spleen was severely affected by COVID-19 (<xref ref-type="bibr" rid="B13">Duarte-Neto et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B32">Liu et&#xa0;al., 2020</xref>). However, no systematic studies have reported on the spleen changes evidenced by <italic>SARS-CoV-2</italic> infection, nor speculated about possible implications regarding the course of disease.</p>
<p>Using a minimally invasive autopsy technique, we had the opportunity to collect and study spleen samples from nine patients who died of COVID-19. This study reports profound disorganization of spleen compartments due to severe COVID-19, associated with the decreased density of cell populations. We further endeavored to examine the potential pathways involved in this observed disorganization, including cytokine expression and changes in the extracellular matrix that may have disrupted leukocyte distribution in the organ.</p>
</sec>
<sec id="s2" sec-type="materials|methods">
<label>2</label>
<title>Materials and methods</title>
<sec id="s2_1">
<label>2.1</label>
<title>Ethical statement</title>
<p>This study is in conformance with the ethical guidelines approved by the National Research Ethics Committee (CONEP), registered under protocol no 4.526.485. The relatives who were legally responsible for the patients were contacted following their death and signed a Free Informed Consent Form.</p>
</sec>
<sec id="s2_2">
<label>2.2</label>
<title>Patients and spleen samples</title>
<p>Fourteen patients who died from COVID-19 at the Couto Maia Institute (ICOM, Salvador, Bahia-Brazil) between 2021 and 2022 were submitted to ultrasound-guided minimally invasive autopsies. As spleen sample collection was unsuccessful in five of these patients, the present findings are based on samples obtained from the remaining nine patients.</p>
<p>All patients had tested positive for <italic>SARS-CoV-2</italic> by RT-PCR conducted on nasal swab samples prior to death. Autopsies were performed between five and eight hours after death. Specimens were preserved for study by optical microscopy. Samples from five spleens surgically removed from patients who underwent therapeutic splenectomies due to trauma at another institution in the same city, Hospital do Sub&#xfa;rbio, were used as controls (CT).</p>
</sec>
<sec id="s2_3">
<label>2.3</label>
<title>Histological processing</title>
<p>All collected spleen samples were fixed in paraformaldehyde or formalin, then dehydrated and embedded in paraffin. Following preparation for histological processing, all slides were scanned using a Zeiss-Axio Imager.Z2 (Zeiss, Germany) and viewed using VSviewer software. Images selected for publication were digitally adjusted in Photoshop, when necessary, using levels, contrast, sharpness, and/or color balance tools to enhance clarity. No specific areas of the images were highlighted or obscured.</p>
<sec id="s2_3_1">
<label>2.3.1</label>
<title>Histochemistry</title>
<p>Four micrometer-thick spleen sections were stained with hematoxylin and eosin (H&amp;E), periodic acid silver methenamine stain (PAMS) and Prussian blue stain (Perls).</p>
</sec>
<sec id="s2_3_2">
<label>2.3.2</label>
<title>Immunohistochemistry</title>
<p>Spleen sections were mounted onto silanized histological slides. The sections were dewaxed through consecutive immersion in xylene, rehydrated using decreasing concentrations of alcohol (100% &#x2192; 90% &#x2192; 70%), and then immersed in distilled water. The hydrated slides were subjected to heat-induced antigen retrieval by immersion in Tris-EDTA buffer (pH 9.0) followed by heating in an electric pressure cooker at 115&#xb0;C under 70 kilopascals (kPa) for 20 minutes. Next, the slides were allowed to cool to room temperature for 20 minutes while still immersed in the antigen retrieval solution. To block endogenous peroxidase, the slides were treated twice with 3% hydrogen peroxide for 10 minutes, followed by 20 minutes of incubation in 2.5% horse serum (HRP Polymer Detection Kit, Vector Laboratories, California, United States) to block nonspecific binding. Slides were washed with distilled water or 1x phosphate-buffered saline (PBS) between each step of the staining process. Samples were incubated for 16&#x2013;18 hours at 4&#xb0;C in a humid chamber with primary antibodies against CD3 (T cells; Abcam- ab16669, 1/200), CD20 (B cells; Abcam- ab64088, 1/200), CD68 (Macrophages; Dako- M0814 1/4000), plasma cells (Dako- M7077, 1/200), IL-6 (ProteinTech- 21865-1-AP, 1/400), TNF (Abcam-ab6671, 1/100), IFN-&#x3b3; (Byorbit- orb10877, 1/50), IL-10 (Abcam- ab217941, 1/100) and IL-17 (R&amp;D Systems- AF-317-NA, 1/20). After washing with 1x PBS, the slides were incubated with HRP Polymer Detection reagent (Vector Laboratories, United States). As a negative control, some sections were similarly incubated with immunoglobulins of the same isotype and species as the primary antibody. Reaction products were visualized using 3,3-diaminobenzidine solution, while nuclei were counterstained with Harris hematoxylin (Sigma, United States), and slides were finally mounted on Entellan<sup>&#xae;</sup> quick mounting medium (Merck KGA, Germany).</p>
</sec>
<sec id="s2_3_3">
<label>2.3.3</label>
<title>TUNEL staining</title>
<p>Following the previously described deparaffinization and hydration protocol, slides were subjected to antigen retrieval using Proteinase K Antigen Retrieval Solution (ab64220). Subsequently, the sections were incubated with TUNEL reaction mixture provided by the ROCHE <italic>In Situ</italic> Cell Death Detection Kit POD (code: 11684817910) as per manufacturer instructions. The slides were then observed and photographed under an inverted fluorescence microscope (Leica DMi8) using an excitation wavelength of 450&#x2013;500 nm and a detection range of 515&#x2013;565 nm (green fluorescence).</p>
</sec>
</sec>
<sec id="s2_4">
<label>2.4</label>
<title>Histological analysis</title>
<sec id="s2_4_1">
<label>2.4.1</label>
<title>Qualitative analysis</title>
<p>Two trained pathologists blindly conducted the histological qualitative analysis. The classification of white pulp organization was performed according to criteria specified by (<xref ref-type="bibr" rid="B19">Hermida et&#xa0;al., 2018</xref>). Spleen sections were stratified into three groups: spleen type 1 or organized, spleen type 2 or mildly disorganized, and spleen type 3 or moderately to extensively disorganized. Plasma cells were identified according to the following criteria: elliptical shape, eccentric nucleus with the characteristic &#x201c;cartwheel&#x201d; chromatin pattern, and a prominent perinuclear halo. Plasma cells exhibiting characteristic cytoplasmic inclusions with a grape-like appearance were classified as Mott cells (<xref ref-type="bibr" rid="B2">Allen and Sharma, 2022</xref>). Iron deposition was evaluated semi-quantitatively in Perls&#x2019;-stained. The analysis focused on the red pulp (RP), and staining intensity was scored based on the amount and distribution of blue granules as: Mild (sparse or translucent granules occupying &lt;50% of the RP); Moderate (translucent granules in &gt;50% of the RP or dense granules in &lt;50% of the area; Intense: dense granules occupying &gt;50% of the RP. PAMS-stained reticular fibers were classified as normal or abnormal based on size, thickness and integrity.</p>
</sec>
<sec id="s2_4_2">
<label>2.4.2</label>
<title>Morphometry</title>
<sec id="s2_4_2_1">
<label>2.4.2.1</label>
<title>Spleen compartment size</title>
<p>The relative size of spleen compartments was estimated in HE-stained sections using ImageJ software (National Institutes of Health, USA). The ratio of WP versus the total area of the splenic parenchyma was estimated and results were expressed as percentages.</p>
</sec>
<sec id="s2_4_2_2">
<label>2.4.2.2</label>
<title>Cell populations in spleen compartments</title>
<p>Selected areas of whole scanned images of spleen sections stained with different antibodies were used for morphometric analysis. Selection of RP regions was performed as follows: the area with the highest number of labeled cells was selected for analysis. Subsequently, four additional adjacent non-overlapping areas (above, below, right, and left) were examined. If any of the adjacent areas included WP regions, these were replaced by the nearest non-overlapping area. RP cell counts were performed manually using ImageJ software.</p>
<p>The five largest WP areas presenting central arterioles clearly visible in cross-sections were selected for morphometric analysis. The outer region of the entire WP (LF, PALS), including the MZ, was outlined and measured. Cell counts were manually performed within the delineated area for cytokines, CD68 (Macrophages) and plasma cells. CD3+ T cell counts were carried out in the PALS, while CD20+ B cell counts were performed in the LF and MZ together, where these cell types are typically concentrated.</p>
<p>In both compartments, manual counting provided an absolute number. Cell counts per square millimeter were used to represent cell population density, calculated as [(number of cells/area measured) * 1,000,000]. The average values obtained from five estimates performed in the spleen of each patient were used for statistical analysis.</p>
</sec>
<sec id="s2_4_2_3">
<label>2.4.2.3</label>
<title>Histochemical and fluorescence staining analyses</title>
<p>Five non-overlapping areas of the RP of spleen sections stained with PAMS were used to analyze perisinusoidal reticular fibers. In each section, the ten largest sinusoid-surrounding fibers were longitudinally measured. The average of these measurements obtained for each patient was used for comparisons between groups.</p>
<p>For TUNEL analysis, images were captured using a 20x objective, with TUNEL-positive cell counts performed in the RP using the particle analysis tool in ImageJ. Counting was supervised, considering particles with a minimum size of 4 &#xb5;m&#xb2; and positive fluorescence determined by the Otsu threshold method on a defined scale. Threshold adjustments were made to account for fluorescence variance between experimental samples.</p>
</sec>
</sec>
</sec>
<sec id="s2_5">
<label>2.5</label>
<title>Expression and results analysis</title>
<p>Numerical data are shown as tables and graphs representing absolute values, means, medians or proportions as specified. Statistical significance of differences between groups was tested using Student&#x2019;s T test or Mann-Whitney for normal or skewed distributions, respectively. For comparisons involving proportions, the Chi-square test with Yates&#x2019; correction or Fisher&#x2019;s exact probability testing were used. For non-parametric correlation analyses, Spearman correlation was applied. The level of significance was established at p&lt;0.05.</p>
</sec>
</sec>
<sec id="s3" sec-type="results">
<label>3</label>
<title>Results</title>
<sec id="s3_1">
<label>3.1</label>
<title>General population characteristics</title>
<p>To study spleen alterations associated with death in COVID-19 cases, spleen samples were analyzed from nine patients who died from COVID-19 and five samples from control (CT) patients. The main characteristics of the COVID-19 patients are shown in <xref ref-type="table" rid="T1">
<bold>Table&#xa0;1</bold>
</xref>. Six patients were male and three were female, with a median age of 65 years. Median illness duration was 23 days, with 12 days of hospital stay. The most common presentations were dyspnea, fever, cough and vomiting. Only one patient had no comorbidities. The laboratory data shown herein, collected within two days of patient death, show lymphopenia with increased neutrophil/lymphocyte ratios, low hemoglobin and hematocrit levels, as well as increased concentrations of blood markers of kidney and liver injury. Demographic data for the CT patients are presented in <xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Table&#xa0;1</bold>
</xref>.</p>
<table-wrap id="T1" position="float">
<label>Table&#xa0;1</label>
<caption>
<p>Clinical and laboratory characteristics of COVID-19 patients.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="left">Parameter</th>
<th valign="middle" align="center">Result</th>
<th valign="middle" align="center">Reference value</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="3" align="left">Clinical parameters:</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Sex</td>
<td valign="middle" align="center">9 (100%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Male (M)</td>
<td valign="middle" align="center">6 (67%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Female (F)</td>
<td valign="middle" align="center">3 (33%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Age (years)</td>
<td valign="middle" align="center">65 [55-71]</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Time of illness</td>
<td valign="middle" align="center">23 [14.5-25.5]</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Time of hospitalization</td>
<td valign="middle" align="center">12 [5.5-18]</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">Comorbidities:</td>
<td valign="middle" align="center"/>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Diabetes mellitus 2 (%)</td>
<td valign="middle" align="center">5 (56%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hypertension (%)</td>
<td valign="middle" align="center">7 (78%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Obesity (%)</td>
<td valign="middle" align="center">3 (34%)</td>
<td valign="middle" align="center">&#x2013;</td>
</tr>
<tr>
<th valign="middle" colspan="3" align="left">Laboratory parameters:</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hemoglobin (g/dL)</td>
<td valign="middle" align="center">10.5 [8.8-14.3]</td>
<td valign="middle" align="center">11 - 14.5</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Hematocrit (%)</td>
<td valign="middle" align="center">30,5 [24.9-30.5]</td>
<td valign="middle" align="center">35 - 46</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Leucocytes (/mm<sup>3</sup>)</td>
<td valign="middle" align="center">21630 [16005-31320]</td>
<td valign="middle" align="center">4000 - 10000</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Lymphocytes (%)</td>
<td valign="middle" align="center">5 [2.8-5.8]</td>
<td valign="middle" align="center">18 - 48</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Segmented cells (%)</td>
<td valign="middle" align="center">89 [84-90]</td>
<td valign="middle" align="center">40 - 70</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;NLR</td>
<td valign="middle" align="center">17.9 [14.8-37.1]</td>
<td valign="middle" align="center">1-3</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Monocytes (%)</td>
<td valign="middle" align="center">3 [2.3-4.8]</td>
<td valign="middle" align="center">3-10</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Platelets (/mm&#xb3;) x10&#xb3;</td>
<td valign="middle" align="center">305 [201-466]</td>
<td valign="middle" align="center">150&#x2013;450</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Creatinine (mg/dL)</td>
<td valign="middle" align="center">2.4 [1.4-3.6]</td>
<td valign="middle" align="center">M: 0.7 - 1.3<break/>F: 0.6 - 1.1</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Urea (mg/dL)</td>
<td valign="middle" align="center">139 [115-161]</td>
<td valign="middle" align="center">15 - 45</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;AST (U/L)</td>
<td valign="middle" align="center">41 [25-67,5]</td>
<td valign="middle" align="center">5-40</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;ALT (U/L)</td>
<td valign="middle" align="center">63 [32,5-117,5]</td>
<td valign="middle" align="center">7-56</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn>
<p>Data expressed as medians with interquartile range. NLR, neutrophil/lymphocyte ratio; AST, Aspartate aminotransferase; ALT, alanine aminotransferase.</p>
</fn>
</table-wrap-foot>
</table-wrap>
</sec>
<sec id="s3_2">
<label>3.2</label>
<title>Qualitative spleen changes</title>
<p>The spleens of all nine patients who died from COVID-19 were classified as type 3 (moderately to extensively disorganized) (p=0.0009; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1C</bold>
</xref>). In five of these cases, lymphoid follicles were barely visible. The WP was atrophic (p=0.04; <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, H</bold>
</xref>) and low cell density was observed in both RP and WP (p&lt;0.0001; <xref ref-type="fig" rid="f1">
<bold>Figures&#xa0;1C, E, I</bold>
</xref>). Three patients presented RP plasmacytosis with some Mott cells (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1F</bold>
</xref>), while seven patients presented hyaline arteriolosclerosis (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1G</bold>
</xref>).</p>
<table-wrap id="T2" position="float">
<label>Table&#xa0;2</label>
<caption>
<p>Qualitative histological analysis of spleen in patients with COVID-19 and controls.</p>
</caption>
<table frame="hsides">
<thead>
<tr>
<th valign="middle" align="center"/>
<th valign="middle" align="center">COVID-19 (n=9)</th>
<th valign="middle" align="center">CT (n=5)</th>
<th valign="middle" align="center">
<italic>P</italic> (&lt;0.05)</th>
</tr>
</thead>
<tbody>
<tr>
<th valign="middle" colspan="4" align="left">H&amp;E</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Type 1 spleen</td>
<td valign="middle" align="center">0/9</td>
<td valign="middle" align="center">3/5</td>
<td valign="middle" rowspan="3" align="center">0.0009<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Type 2 spleen</td>
<td valign="middle" align="center">0/9</td>
<td valign="middle" align="center">2/5</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Type 3 spleen</td>
<td valign="middle" align="center">9/9</td>
<td valign="middle" align="center">0/5</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">PAMS</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Continuous ring fibers</td>
<td valign="middle" align="center">1/9</td>
<td valign="middle" align="center">5/5</td>
<td valign="middle" rowspan="2" align="center">0.003<xref ref-type="table-fn" rid="fnT2_2">
<sup>b</sup>
</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Fragmented ring fibers</td>
<td valign="middle" align="center">8/9</td>
<td valign="middle" align="center">0/5</td>
</tr>
<tr>
<th valign="middle" colspan="4" align="left">Perls</th>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Mild</td>
<td valign="middle" align="center">3</td>
<td valign="middle" align="center">6</td>
<td valign="middle" rowspan="3" align="center">0.08<xref ref-type="table-fn" rid="fnT2_1">
<sup>a</sup>
</xref>
</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Moderate</td>
<td valign="middle" align="center">2</td>
<td valign="middle" align="center">0</td>
</tr>
<tr>
<td valign="middle" align="left">&#x2003;Intense</td>
<td valign="middle" align="center">0</td>
<td valign="middle" align="center">3</td>
</tr>
</tbody>
</table>
<table-wrap-foot>
<fn id="fnT2_1">
<label>a</label>
<p>Chi-squared test;</p>
</fn>
<fn id="fnT2_2">
<label>b</label>
<p>Fischer&#x2019;s exact test.</p>
</fn>
</table-wrap-foot>
</table-wrap>
<fig id="f1" position="float">
<label>Figure&#xa0;1</label>
<caption>
<p>Spleen histological changes in severe COVID-19. Control spleen exhibiting type 1 <bold>(A)</bold> and type 2 <bold>(B)</bold> organization. <bold>(C)</bold> WP disruption (type 3 spleen) evidenced in COVID-19 patients. <bold>(D)</bold> Normal RP density in control patients. <bold>(E)</bold> Low cell density in the RP of COVID-19 patients. <bold>(F)</bold> Plasma cell accumulation (black arrows) and Mott cells (red arrow) in COVID-19 patients. <bold>(G)</bold> Hyaline arteriolosclerosis in COVID-19 patients. <bold>(H)</bold> WP proportion relative to the whole spleen section. <bold>(I)</bold> Total cell density in the RP. Scale bar= 50 and 100 &#xb5;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g001.tif">
<alt-text content-type="machine-generated">Microscopic images A to G display tissue samples from CT and COVID-19 cases, showing structural differences in cell distribution and density. Two graphs, H and I, depict statistical comparisons. Graph H shows a decrease in the percentage of WP in COVID-19 cases. Graph I indicates lower cell density in COVID-19 samples compared to CT, with significance noted by asterisks.</alt-text>
</graphic>
</fig>
<p>In the spleen, reticular fibers form a framework for cells to attach and move and also help stabilize sinusoids in the RP (<xref ref-type="bibr" rid="B44">Satoh et&#xa0;al., 1997</xref>). The reticular fibroblastic cells within the RP continuously produce reticular fibers, primarily composed of type IV collagen and laminin. These fibers are organized into a structure known as &#x201c;ring fibers&#x201d; that encircle the sinusoids and are identifiable through silver impregnation due to their argentophilic nature (<xref ref-type="bibr" rid="B3">Apaja&#x2010;Sarkkinen et&#xa0;al., 1986</xref>). In the cases of COVID-19 observed herein, ring fibers were extensively fragmented and exhibited reduced thickness (p= 0.003; <xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2B</bold>
</xref>) and smaller average size (p= 0.004; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2E</bold>
</xref>) compared to those of CT patients (<xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2A</bold>
</xref>). Intense iron deposits were observed in three COVID-19 patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2D</bold>
</xref>) and none of the CT group (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>; <xref ref-type="fig" rid="f2">
<bold>Figure&#xa0;2C</bold>
</xref>).</p>
<fig id="f2" position="float">
<label>Figure&#xa0;2</label>
<caption>
<p>Sinusoidal ring fibers and iron accumulation in COVID-19. <bold>(A, B)</bold> PAMS staining: <bold>(A)</bold> Control spleen showing organized fiber rings. <bold>(B)</bold> COVID-19 spleen with fragmented fiber rings. <bold>(C, D)</bold> Perls staining: <bold>(C)</bold> Control spleen showing no iron accumulation. <bold>(D)</bold> COVID-19 spleen with marked iron accumulation. <bold>(E)</bold> Measurement of the average size of reticular fibers. Scale bar= 20 and 50 &#xb5;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g002.tif">
<alt-text content-type="machine-generated">Four microscopic images (A, B, C, D) compare tissue samples:   A and B display normal and COVID-19 affected tissues stained black, showing structural differences.   C and D feature tissue sections stained red and blue, highlighting iron distribution in control versus COVID-19 conditions.  Panel E is a violin plot showing fiber size differences between control and COVID-19 samples, with COVID-19 exhibiting a significant reduction.</alt-text>
</graphic>
</fig>
<p>Among the CT, three had a type 1 spleen (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1A</bold>
</xref>) while two had type 2 (<xref ref-type="fig" rid="f1">
<bold>Figure&#xa0;1B</bold>
</xref>); no CTs presented any of the spleen changes observed in the COVID-19 patients (<xref ref-type="table" rid="T2">
<bold>Table&#xa0;2</bold>
</xref>). The RP cell density of the CT is shown in <xref ref-type="fig" rid="f1">
<bold>Figure 1D</bold>
</xref>.</p>
</sec>
<sec id="s3_3">
<label>3.3</label>
<title>Distribution and density of the main leukocyte populations in spleen compartments</title>
<p>Patients with COVID-19 exhibited marked reduction in leukocyte populations. Immunohistochemical phenotyping was performed to characterize the main splenocyte subpopulations and identify which cell types were most affected. In the RP, a significant reduction in T cells (p=0.002; <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, B</bold>
</xref>) and B cells (p=0.01; <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, C</bold>
</xref>) were observed, along with increased plasma cells (p= 0.04; <xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, E</bold>
</xref>). No significant differences were observed in macrophage populations (<xref ref-type="fig" rid="f3">
<bold>Figures&#xa0;3A, D</bold>
</xref>).</p>
<fig id="f3" position="float">
<label>Figure&#xa0;3</label>
<caption>
<p>Leukocyte density in the RP. <bold>(A)</bold> Representative micrographs of RP sections stained for T lymphocytes (CD3), B lymphocytes (CD20), macrophages (CD68), and plasma cells in the splenic tissues of control (column 1) and COVID19 patients (column 2). Cell density of <bold>(B)</bold> CD3, <bold>(C)</bold> CD20, <bold>(D)</bold> CD68, and <bold>(E)</bold> plasma cells in the RP of control patients (blue circles) and COVID-19 patients (red squares). *p &#x2264; 0.05; **p &#x2264; 0.01. Scale bar= 20 &#xb5;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g003.tif">
<alt-text content-type="machine-generated">Histological analysis comparing immune cell presence in control (CT) and COVID-19 affected tissues. Panels labeled T, B, macrophage, and plasma cells show stained tissue images. Control samples exhibit denser staining compared to COVID-19 samples, indicating differences in cell density. Adjacent graphs (B to E) display violin plots quantifying cell counts for CD3+ T cells, CD20+ B cells, CD68+ macrophages, and plasma cells. Significant differences are marked with asterisks, indicating reduced cell densities in COVID-19 samples compared to controls.</alt-text>
</graphic>
</fig>
<p>In the WP of COVID-19 patients, low T cell (p&lt;0.0001; <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, B</bold>
</xref>) and B cell (p= 0.0002; <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, C</bold>
</xref>) densities were also observed, as well as increased levels of plasma cells (p= 0.02; <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, D</bold>
</xref>). Additionally, macrophage density was elevated (p=0.003; <xref ref-type="fig" rid="f4">
<bold>Figures&#xa0;4A, E</bold>
</xref>) in these patients.</p>
<fig id="f4" position="float">
<label>Figure&#xa0;4</label>
<caption>
<p>Leukocyte density in the WP. <bold>(A)</bold> Representative micrographs of WP sections stained for T lymphocytes (CD3), B lymphocytes (CD20), macrophages (CD68), and plasma cells in the splenic tissues of control (column 1) and COVID19 patients (column 2). Cell density of <bold>(B)</bold> CD3, <bold>(C)</bold> CD20, <bold>(D)</bold> CD68, and <bold>(E)</bold> plasma cells in the WP of control patients (blue circles) and COVID-19 patients (red squares). *p &#x2264;0.05; **p &#x2264;0.01; ***p &#x2264;0.001; ****p &#x2264;0.0001. Scale bar= 100 &#xb5;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g004.tif">
<alt-text content-type="machine-generated">Histological comparison of spleen tissue between control (CT) and COVID-19. Panels include T cell, B cell, macrophage, and plasma cell images, with more intense staining in CT than COVID-19. Adjacent violin plots depict cell count differences, with CT showing higher CD3+, CD20+, they are reduced in the control group compared to COVID-19, indicated by significance levels.</alt-text>
</graphic>
</fig>
</sec>
<sec id="s3_4">
<label>3.4</label>
<title>Cytokine-positive cells and cell death in the splenic compartments</title>
<p>Severe cases of COVID-19 are known to be associated with the phenomenon referred to as a cytokine storm (<xref ref-type="bibr" rid="B38">Montazersaheb et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B52">Zanza et&#xa0;al., 2022</xref>). To further investigate the spleen&#x2019;s involvement in cytokine secretion and consequent impacts on the splenic microenvironments, immunohistochemistry was performed for IL-6, TNF, IFN-&#x3b3;, IL-10, and IL-17. The pro-inflammatory cytokines IL-6 and TNF were found to be increased in both analyzed compartments (p &#x2264; 0.05; <xref ref-type="fig" rid="f5">
<bold>Figures&#xa0;5A&#x2013;E</bold>
</xref>) in patients who died from COVID-19. No differences were identified in the density of cells expressing cytokines IL-17, IL-10 or IFN-&#x3b3; in the RP and WP of the CT and COVID-19 patients analyzed (<xref ref-type="supplementary-material" rid="SM1">
<bold>Supplementary Figure&#xa0;1</bold>
</xref>).</p>
<fig id="f5" position="float">
<label>Figure&#xa0;5</label>
<caption>
<p>Distribution and density of cells producing IL-6 and TNF. <bold>(A)</bold> Representative micrographs of RP and WP sections stained for IL-6 and TNF in spleens from control (column 1) and COVID-19 patients (column 2). <bold>(B)</bold> IL-6+ cells in the RP, <bold>(C)</bold> IL-6+ cells in the WP, <bold>(D)</bold> TNF+ cells in the RP, and <bold>(E)</bold> TNF+ cells in the WP of COVID-19 patients (red squares) and control patients (blue circles). *p &#x2264; 0.05; **p &#x2264; 0.01. Scale bar= 20 and 100 &#xb5;m.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g005.tif">
<alt-text content-type="machine-generated">Histological comparison of spleen tissues from control (CT) and COVID-19 patients showing IL-6 and TNF expression. Panels A display tissue sections: rows IL-6 (RP, WP) and TNF (RP, WP) for CT and COVID-19. Panels B to E show corresponding quantitative graphs, indicating increased IL-6 and TNF levels in COVID-19 tissues. Significant differences are marked with asterisks.</alt-text>
</graphic>
</fig>
<p>Increases in IL-6 and TNF cytokine release are usually correlated with cell death. To evaluate whether cell death induction contributed to the observed reductions in cell populations seen herein, we applied the TUNEL technique to examine spleen sections. Higher TUNEL-positive cell counts were observed in COVID-19 patients compared to CT (p= 0,04; <xref ref-type="fig" rid="f6">
<bold>Figures&#xa0;6A, B</bold>
</xref>).</p>
<fig id="f6" position="float">
<label>Figure&#xa0;6</label>
<caption>
<p>TUNEL staining in spleen sections. <bold>(A)</bold> Representative micrographs of spleen sections stained for TUNEL in control and COVID patients. <bold>(B)</bold> Density of TUNEL-positive cells in the spleens of control (blue circles) and COVID-19 patients (red squares). <bold>(C)</bold> Spearman correlation matrix showing associations between immunohistochemistry counts and TUNEL-positive cells. Only correlations with p &#x2264; 0.05 are shown.</p>
</caption>
<graphic mimetype="image" mime-subtype="tiff" xlink:href="fcimb-15-1645378-g006.tif">
<alt-text content-type="machine-generated">Panel A shows two fluorescent microscopy images comparing CT and COVID-19 samples, highlighting increased green fluorescence in COVID-19. Panel B features a violin plot showing a higher number of TUNEL-positive cells in COVID-19. Panel C displays a correlation matrix heat map with color gradients indicating different correlation coefficients for various markers, showing both positive and negative correlations.</alt-text>
</graphic>
</fig>
<p>Correlation analyses indicated that IL-6 and TNF<sup>+</sup> WP cells, as well as TNF<sup>+</sup> RP cells, were positively correlated with plasma cell accumulation in the RP and negatively correlated with T and B lymphocyte counts in the splenic WP (p &#x2264; 0.05; <xref ref-type="fig" rid="f6">
<bold>Figure&#xa0;6C</bold>
</xref>).</p>
</sec>
</sec>
<sec id="s4" sec-type="discussion">
<label>4</label>
<title>Discussion</title>
<p>The spleen plays a crucial role in immune response by either mounting an enduring immune response against microorganisms such as encapsulated bacteria, or by diverting the immune response, which favors infection (<xref ref-type="bibr" rid="B35">Mebius and Kraal, 2005</xref>). Both roles depend on morphological changes in the spleen compartments and the redistribution of cell populations (<xref ref-type="bibr" rid="B46">Silva et&#xa0;al., 2012</xref>; <xref ref-type="bibr" rid="B47">Silva-O&#x2019;Hare et&#xa0;al., 2016</xref>; <xref ref-type="bibr" rid="B19">Hermida et&#xa0;al., 2018</xref>). Severe acute or chronic inflammation can provoke the disruption of splenic compartments, which may compromise the patient&#x2019;s immune response and favor disease progression (<xref ref-type="bibr" rid="B19">Hermida et&#xa0;al., 2018</xref>). Here we show that severe COVID-19 led to the intense depletion of leukocyte populations in both RP and WP spleen compartments, in addition to marked reductions in the numbers and T and B lymphocytes; plasma cell counts increased in both compartments, while the number of macrophages was increased only in the WP. Together with cell population alterations, reticular fiber networks appeared fragmented, which further disrupts spleen structure and inhibits normal cell population homing. The densities of TNF- and IL-6-producing cells were increased in both splenic WP and RP.</p>
<p>The lymphocyte depletion observed in COVID-19 mirrors that seen in sepsis. Both conditions are characterized by a highly systemic inflammatory status with disproportionate leukocyte activation and death. Many mechanisms of cell death are activated in COVID-19. Apoptosis mediated by the FAS-FASL pathway, which is sustained by the continual stimulation of cytokines such as TNF and IL-6, may have been involved in the lymphocyte death seen in the spleens of the COVID-19 patients studied herein (<xref ref-type="bibr" rid="B16">Feng et&#xa0;al., 2020</xref>). The density of cells producing these two cytokines was increased, and the TUNEL analysis conducted revealed widespread cell death. Furthermore, elevated levels of these two cytokines have been negatively correlated with circulating lymphocyte counts and increased expression of T cell exhaustion markers in patients with COVID-19 (<xref ref-type="bibr" rid="B10">Diao et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B4">Arcanjo et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B53">Zhou et&#xa0;al., 2022</xref>). In sepsis, changes in the spleen play a crucial role in the unbalanced inflammatory response that results in immune system exhaustion and death (<xref ref-type="bibr" rid="B7">Cao et&#xa0;al., 2019</xref>). Furthermore, interventions such as splenectomy, immunomodulatory treatments, and the inhibition of apoptosis in the spleen have been shown to improve survival in experimental models of sepsis (<xref ref-type="bibr" rid="B21">Huston et&#xa0;al., 2008</xref>; <xref ref-type="bibr" rid="B8">Chen et&#xa0;al., 2021</xref>). It is important to note that all the COVID-19 patients in this study met the criteria for a diagnosis of sepsis. In fact, severe COVID-19 was reported as the leading cause of sepsis-related deaths from 2020 to 2022, surpassing bacterial sepsis (<xref ref-type="bibr" rid="B25">Karakike et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B45">Shappell et&#xa0;al., 2023</xref>). Of note, three of these patients also had evidence of coinfection by bacteria and fungus. Although consistent with other studies, we cannot rule out that some TUNEL-positive changes reflect the 5&#x2013;8 h post-mortem interval, which represents a limitation of this study.</p>
<p>Viral infections alone can provoke disorganization in the spleen structure, as shown in patients with HIV infection or experimental models involving Rhesus Macaques or mice (<xref ref-type="bibr" rid="B14">Falk et&#xa0;al., 1988</xref>; <xref ref-type="bibr" rid="B11">Diaz et&#xa0;al., 2002</xref>; <xref ref-type="bibr" rid="B40">Moukambi et&#xa0;al., 2015</xref>; <xref ref-type="bibr" rid="B42">Samal et&#xa0;al., 2018</xref>). In the cases examined here, lymphoid compartments were scarcely visible, with indistinct structural organization. No secondary follicles were observed. In chronic infections such as visceral leishmaniasis, lymphoid follicle disorganization results in the impairment of lymphocyte migration into the lymphoid follicle secondary to follicular dendritic cell death, as well as decreased CXCL13 production (<xref ref-type="bibr" rid="B46">Silva et&#xa0;al., 2012</xref>). In such cases, evidence exists that lymphocyte repositioning is responsible for WP disorganization. In COVID-19, the absence of secondary lymphoid follicle formation may be due to the shift from traditional follicular helper differentiation to a Th1 phenotype in response to high expression of TNF in the tissue environment (<xref ref-type="bibr" rid="B16">Feng et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B24">Kaneko et&#xa0;al., 2020</xref>). Furthermore, the marked lymphocyte death seen in these fatal cases of COVID-19 was likely linked to lymphoid compartment atrophy and disorganization. The observed splenic disorganization and resulting disfunction may favor, together with the anergic state produced by extensive lymphoid cell death, secondary bacterial and fungus coinfections, which could have further aggravated the course of disease, ultimately resulting in death.</p>
<p>Despite extensive WP disorganization, pronounced plasmacytosis with the presence of some Mott cells was noted in the splenic RP. In chronic severe infections such as visceral leishmaniasis, WP disruption and late spleen plasmacytosis have been associated with extended plasma cell survival and splenic homing mediated by increased expression of <italic>BAFF</italic>, <italic>APRIL</italic> and <italic>CXCL12</italic> (<xref ref-type="bibr" rid="B47">Silva-O&#x2019;Hare et&#xa0;al., 2016</xref>). It follows that changes in stromal and leukocyte cell populations in the spleen due to chronic inflammation may provoke alterations in gene expression patterns. It is possible that altered gene expression may not have occurred as a result of the short (14&#x2013;26 days) disease duration in our patients with COVID-19. Therefore, the splenic plasmacytosis observed in these patients may be a remnant of a massive follicular antibody response or of continuous extrafollicular plasma cell differentiation. In fact, antibody responses against <italic>SARS-CoV-2</italic> infection can occur as early as one-week post-symptom onset, and IgM, IgG, and IgA antibody production has been documented at early stages of infection, possibly via the extrafollicular pathway (<xref ref-type="bibr" rid="B50">Woodruff et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B28">Lee et&#xa0;al., 2022</xref>). The lack of GC responses in COVID-19, due to increased TNF and IL-6 expression and the rapid progress of WP disruption, result in loss of hypermutation process, which may impair the production of high-affinity antibodies in patients with severe disease (<xref ref-type="bibr" rid="B24">Kaneko et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B49">Trevelin et&#xa0;al., 2022</xref>). Furthermore, increased levels of TNF and IL-6, key regulators of plasma cell survival, may contribute to the prolonged plasma cell persistence in the spleen (<xref ref-type="bibr" rid="B26">Khodadadi et&#xa0;al., 2019</xref>).</p>
<p>Macrophage density was increased in WP but not in the RP of patients with COVID-19. We cannot exclude the possibility that the increased density of these cells in the WP resulted from the extensively decreased lymphocyte population and derangement of the reticular framework of the atrophic lymphoid follicles. Nevertheless, the macrophages present in both spleen compartments appear to be less affected than the other cell types studied. Evidence suggests that the highly inflammatory environment in the spleen may be driven by infected macrophages and dendritic cells, and that these cells play a crucial role in the cytokine storm phenomenon, resulting in lymphopenia (<xref ref-type="bibr" rid="B16">Feng et&#xa0;al., 2020</xref>; <xref ref-type="bibr" rid="B37">Merad and Martin, 2020</xref>; <xref ref-type="bibr" rid="B1">Abdullaev et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B51">Xiang et&#xa0;al., 2021</xref>). Conversely, a hyper-responsive immune system in COVID-19 may lead to the excessive activation and proliferation of macrophages, known as macrophage activation syndrome (MAS) (<xref ref-type="bibr" rid="B34">McGonagle et&#xa0;al., 2021</xref>). This condition is associated with high levels of ferritin in the blood, blood clotting disorders, splenomegaly and hemophagocytosis (<xref ref-type="bibr" rid="B9">Chen et&#xa0;al., 2023</xref>). Three of our patients had extensive iron deposits in the spleen, and all three presented with microcirculatory thrombosis and erythrophagocytosis was evidenced in at least one patient.</p>
<p>Another aspect of spleen disorganization observed in COVID-19 is extensive reticular fiber fragmentation. The spleen is among the organs possessing high regenerative capability. During the regenerative process, proper cell positioning is dependent upon the extracellular matrix. Therefore, the disruption of the splenic framework may constitute an additional impairment to structural regeneration. In severe cases of COVID-19, patients with acute respiratory distress syndrome (ARDS) and low oxygen levels present high levels of metalloproteinases, which can break down the supportive tissue in the lungs, leading to serious organ damage (<xref ref-type="bibr" rid="B54">Zhu et&#xa0;al., 2022</xref>; <xref ref-type="bibr" rid="B33">Ma et&#xa0;al., 2023</xref>). Similarly, in nervous tissue, elevated cytokine levels, including IL-6&#x2014;which correlates with cytokine levels observed in the spleen&#x2014;have been associated with increased protease activity and tissue injury (<xref ref-type="bibr" rid="B15">Fekete et&#xa0;al., 2025</xref>). Similar changes may occur in the extracellular matrix of the spleen (<xref ref-type="bibr" rid="B17">Guizani et&#xa0;al., 2021</xref>; <xref ref-type="bibr" rid="B27">Lee and Kim, 2022</xref>). Alternatively, the cells responsible for producing the fibers in this framework may be directly affected by infection or changes in the splenic environment (<xref ref-type="bibr" rid="B41">Mueller and Germain, 2009</xref>; <xref ref-type="bibr" rid="B39">Morgado et&#xa0;al., 2020</xref>). Notably, a similar pattern of reticular fiber disruption has also been observed in the spleens of patients with sepsis, likely due to high metalloproteinase activity (<xref ref-type="bibr" rid="B18">Gunia et&#xa0;al., 2006</xref>).</p>
<p>In conclusion, the data presented here suggest that the spleen plays a significant role in the inflammatory state seen in COVID-19, whether through direct infection of the organ by <italic>SARS-CoV-2</italic> or via systemic inflammation. The observed changes in the spleen are consistent with the patients&#x2019; impaired capability to combat the primary infection by <italic>SARS-CoV-2</italic>, as well as coinfections.</p>
</sec>
</body>
<back>
<sec id="s5" sec-type="data-availability">
<title>Data availability statement</title>
<p>The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.</p>
</sec>
<sec id="s6" sec-type="ethics-statement">
<title>Ethics statement</title>
<p>The studies involving humans were approved by National Research Ethics Committee (CONEP). The studies were conducted in accordance with the local legislation and institutional requirements. The participants provided their written informed consent to participate in this study.</p>
</sec>
<sec id="s7" sec-type="author-contributions">
<title>Author contributions</title>
<p>BM: Project administration, Resources, Methodology, Formal analysis, Writing &#x2013; review &amp; editing, Writing &#x2013; original draft, Conceptualization. LC: Writing &#x2013; original draft, Data curation, Investigation, Methodology. LB: Methodology, Writing &#x2013; original draft, Formal analysis. RB: Writing &#x2013; original draft, Formal analysis, Methodology, Investigation, Software. LP: Methodology, Writing &#x2013; original draft, Formal analysis. EH: Writing &#x2013; original draft, Validation, Methodology. JF: Methodology, Software, Conceptualization, Writing &#x2013; original draft, Formal analysis. CPF: Formal analysis, Data curation, Writing &#x2013; review &amp; editing, Methodology. EM: Data curation, Supervision, Methodology, Writing &#x2013; review &amp; editing. MT: Data curation, Conceptualization, Methodology, Writing &#x2013; review &amp; editing. CP:&#xa0;Methodology, Conceptualization, Writing &#x2013; review &amp; editing, Resources. GO: Methodology, Project administration, Conceptualization, Supervision, Investigation, Writing &#x2013; review &amp; editing. Wd-S: Supervision, Data curation, Methodology, Funding acquisition, Conceptualization, Writing &#x2013; review &amp; editing, Writing&#xa0;&#x2013; original draft, Investigation.</p>
</sec>
<sec id="s8" sec-type="funding-information">
<title>Funding</title>
<p>The author(s) declare financial support was received for the research and/or publication of this article. This work was supported by the Funda&#xe7;&#xe3;o de Amparo &#xe0; Pesquisa do Estado da Bahia under n&#xb0;PET0005/2020 to Wd-S and PhD Scholarship to BM; INOVA Fiocruz - Enfrentamento da Pandemia e P&#xf3;s-pandemia Covid-19: Encomendas Estrat&#xe9;gicas under Grant grant n&#xb0; VPPCB-005-FIO-20-2-96; and Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior &#x2013; CAPES under code number 001. The founders had no role in study design, data collection or analysis, the decision to publish, or preparation of the manuscript.</p>
</sec>
<ack>
<title>Acknowledgments</title>
<p>We thank Patricia, Bruno, the Microscopy Core, and the Histotechnology Service for their administrative and technical support. The authors are grateful to Andris K. Walter for English language revision and manuscript copyediting services.</p>
</ack>
<sec id="s9" sec-type="COI-statement">
<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>
<p>The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.</p>
</sec>
<sec id="s10" sec-type="ai-statement">
<title>Generative AI statement</title>
<p>The author(s) declare that no Generative AI was 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 id="s11" sec-type="disclaimer">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s12" sec-type="supplementary-material">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fcimb.2025.1645378/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fcimb.2025.1645378/full#supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.docx" id="SM1" mimetype="application/vnd.openxmlformats-officedocument.wordprocessingml.document"/>
<supplementary-material xlink:href="Image1.tif" id="SF1" mimetype="image/tiff"/>
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