Skip to main content

Thank you for visiting nature.com. You are using a browser version with limited support for CSS. To obtain the best experience, we recommend you use a more up to date browser (or turn off compatibility mode in Internet Explorer). In the meantime, to ensure continued support, we are displaying the site without styles and JavaScript.

Advertisement

Scientific Reports
  • View all journals
  • Search
  • My Account Login
  • Content Explore content
  • About the journal
  • Publish with us
  • Sign up for alerts
  • RSS feed
  1. nature
  2. scientific reports
  3. articles
  4. article
Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis)
Download PDF
Download PDF
  • Article
  • Open access
  • Published: 14 March 2026

Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis)

  • Molly L. Corder1,2,
  • Tamara Abulez3,4,
  • Timothy Cleland5,
  • Emanuel F. Petricoin6,
  • Weidong Zhou6,
  • Jennifer Nagashima1,
  • Michele Miller7,
  • Peter Buss8,
  • Leana Rossouw8,
  • Scott Citino9,
  • John A. Griffioen10,
  • Holly Haefele11,
  • Janine L. Brown1,
  • Steve Paris1,
  • Rebecca Dikow12 nAff16,
  • Parker Pennington1 nAff17,
  • Thomas P. Conrads13,14,
  • Nicholas W. Bateman3,4,13,
  • Joshua Davis15,
  • A. Alonso Aguirre2 nAff18 &
  • …
  • Budhan Pukazhenthi1 

Scientific Reports , Article number:  (2026) Cite this article

  • 1157 Accesses

  • 1 Altmetric

  • Metrics details

We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Ecology
  • Evolution
  • Zoology

Abstract

Black rhinoceros are critically endangered due to poaching in the wild (in situ). Globally, fewer than 200 animals are maintained as an ex situ insurance population. Unfortunately, the ex situ population faces major sustainability challenges from disease syndromes characterized by high inflammatory burdens and diverse manifestations of immunometabolic dysfunction, not known to be present among their wild counterparts. Overlapping ex situ disease phenotypes limit diagnostic specificity and highlight the need to define underlying disease mechanisms. In the present study, using a cohort of presumed clinically healthy and inflammatory black rhinoceros, we generated the first immunoproteomic profile of any endangered mammal species and identified 1,311 immune cell proteins. However, no significant differences were detected among clinical phenotypes. Therefore, we applied unsupervised machine learning approaches to detect molecular features suggestive of healthy versus inflammatory phenotypes. Forty-three proteins associated with inflammatory pathways were differentially expressed in a cohort of samples derived from both presumed healthy and inflammatory phenotypes. Results suggest subclinical disease may be relatively widespread ex situ, and that animals experience temporal fluctuations in inflammatory state over time. Findings implicate neutrophil degranulation and dysregulation of the oral-gut-liver axis as drivers of disease syndromes of ex situ black rhinoceros. The forty-three proteins associated with inflammatory pathways represent candidate inflammatory biomarkers to be assessed for clinical applications in future validation studies. Upon validation, these candidate biomarkers may guide management practices to strengthen long-term population sustainability.

Similar content being viewed by others

Immuno-transcriptomic analysis based on machine learning identifies immunity signature genes of chronic rhinosinusitis with nasal polyps

Article Open access 03 June 2025

Metabolomic profiling implicates mitochondrial and immune dysfunction in disease syndromes of the critically endangered black rhinoceros (Diceros bicornis)

Article Open access 19 September 2023

Trained immunity induced by DAMPs and LAMPs in chronic inflammatory diseases

Article Open access 01 October 2025

Data availability

Data and scripts used in this study are available at Smithsonian Institution’s Figshare site: https://figshare.com/s/b49afc55c401b6602358.

References

  1. Emslie, R. The International Union for the Conservation of Nature Red List of Threatened Species: Diceros bicornis: e.T6557A152728945 (2020).

  2. Sánchez-Barreiro, F. et al. Historic sampling of a vanishing beast: Population structure and diversity in the black rhinoceros. Mol. Biol. Evol. 40, msad180 (2023).

    Google Scholar 

  3. Smith, L., Ferrie, G. M. & Ferrie, G. M. Population analysis & breeding and transfer plan (American Association of Zoos and Aquariums, 2021).

  4. Sullivan, K. E. et al. Safety and efficacy of a novel iron chelator (HBED; (N,N ′-Di(2‐hydroxybenzyl)ethylenediamine‐N,N′‐diacetic acid)) in equine (Equus caballus) as a model for black rhinoceros (Diceros bicornis). Anim. Physiol. Nutr. 106, 1107–1117 (2022).

    Google Scholar 

  5. Lagrot, I., Lagrot, J. F. & Bour, P. Probable extinction of the western black rhino, Diceros bicornis longipes: survey in northern Cameroon. (2007). (2006).

  6. Dennis, P. M. et al. A review of some of the health issues of captive black rhinoceroses (Diceros bicornis). J. Zoo Wildl. Med. 38, 509–517 (2007).

    Google Scholar 

  7. Dennis, P. et al. IOD in rhinos - Epidemiology group report: Report from the epidemiology working group of the International Workshop on Iron Overload Disorder in browsing rhinoceros (February 2011). J. Zoo Wildl. Med. 43, S114–S116 (2012).

    Google Scholar 

  8. Radeke-Auer, K., Clauss, M., Stagegaard, J., Sonsbeek, L. G. R. B. V. & Lopez, J. Retrospective pathology review of captive black rhinoceros Diceros bicornis in the EAZA Ex-situ Programme (1995–2022). J. Zoo Aquarium Res. 11, 298–310 (2023).

    Google Scholar 

  9. Corder, M. L. et al. Metabolomic profiling implicates mitochondrial and immune dysfunction in disease syndromes of the critically endangered black rhinoceros (Diceros bicornis). Sci. Rep. 13(1), 15464 (2023).

    Google Scholar 

  10. Pouillevet, H., Soetart, N., Boucher, D., Wedlarski, R. & Jaillardon, L. Inflammatory and oxidative status in European captive black rhinoceroses: A link with iron overload disorder? PLoS ONE. 15, e0231514 (2020).

    Google Scholar 

  11. Schook, M. W., Wildt, D. E., Raghanti, M. A., Wolfe, B. A. & Dennis, P. M. Increased inflammation and decreased insulin sensitivity indicate metabolic disturbances in zoo-managed compared to free-ranging black rhinoceros (Diceros bicornis). Gen. Comp. Endocrinol. 217–218, 10–19 (2015).

    Google Scholar 

  12. Meyer, A. et al. Assessment of capillary zone electrophoresis and serum amyloid A quantitation in clinically normal and abnormal southern white rhinoceros (Ceratotherium simum simum) and southern black rhinoceros (Diceros bicornis minor). J. Zoo Wildl. Med. 53, 85 (2022).

    Google Scholar 

  13. Rispoli, L. A., Wojtusik, J. & Roth, T. L. Exploring serum ferritin’s connection to the acute phase response in zoo-managed African rhinoceroses. Zoo Biol. 44, 16–23 (2025).

    Google Scholar 

  14. Bruins-van Sonsbeek, L. G. R. et al. Rhinoceromics: A multi-amplicon study with clinical markers to transferrin saturation levels in ex-situ black rhinoceros (Diceros bicornis michaeli). Front. Microbiol. 16, 1515939 (2025).

    Google Scholar 

  15. Cray, C., Rodriguez, M., Dickey, M., Brewer, L. B. & Arheart, K. L. Assessment of serum amyloid A levels in the rehabilitation setting in the Florida manatee (Trichechus manatus latirostris). J. Zoo Wildl. Med. 44, 911–917 (2013).

    Google Scholar 

  16. Rhim, H., Kim, M., Gim, S. & Han, J.-I. Diagnostic value of serum amyloid A in differentiating the inflammatory disorders in wild birds. Front. Vet. Sci. https://doi.org/10.3389/fvets.2024.1284113 (2024).

    Google Scholar 

  17. Roth, T. L. & Vance, C. K. Corticosteroid-induced suppression of in vitro lymphocyte proliferation in four captive rhinoceros species. J. Zoo Wildl. Med. 38, 518–525 (2007).

    Google Scholar 

  18. Vance, C. K., Kennedy-Stoskopf, S., Obringer, A. R. & Roth, T. L. Comparative studies of mitogen- and antigen- induced lymphocyte proliferation in four captive rhinoceros species. J. Zoo Wildl. Med. 35, 435–446 (2004).

    Google Scholar 

  19. Citino, S. et al. IOD in rhinos - Veterinary group report: Report from the clinical medicine and pathology working group of the International Workshop on Iron Overload Disorder in browsing rhinoceros (February 2011). I. J. Zoo Wildl. Med. 43, S105–S107 (2012).

    Google Scholar 

  20. Wojtusik, J. & Roth, T. L. Investigation of factors potentially associated with serum ferritin concentrations in the black rhinoceros (Diceros bicornis) using a validated rhinoceros-specific assay. J. Zoo Wildl. Med. 49, 297–306 (2018).

    Google Scholar 

  21. Ameka, M. K. & Hasty, A. H. Paying the iron price: Liver iron homeostasis and metabolic disease. Comparative Physiology 12, 3641–3663 (2022).

    Google Scholar 

  22. Alexovič, M., Uličná, C., Sabo, J. & Davalieva, K. Human peripheral blood mononuclear cells as a valuable source of disease-related biomarkers: Evidence from comparative proteomics studies. Proteomics Clin. Appl. 18, 2300072 (2024).

    Google Scholar 

  23. Kleiveland, C. R. Peripheral Blood Mononuclear Cells In (ed. Verhoeckx, K.) (2015).

  24. Končarević, S. et al. In-depth profiling of the peripheral blood mononuclear cells proteome for clinical blood proteomics. Int. J. Proteomics 2014, 1–9 (2014).

    Google Scholar 

  25. Pansarasa, O. et al. Biomarkers in human peripheral blood mononuclear cells: The state of the art in amyotrophic lateral sclerosis. Int. J. Mol. Sci. 23, 2580 (2022).

    Google Scholar 

  26. Sen, P., Kemppainen, E. & Orešič, M. Perspectives on systems modeling of human peripheral blood mononuclear cells. Front. Mol. Biosci. 4, 96 (2018).

    Google Scholar 

  27. Mhyre, T. R. et al. Proteomic analysis of peripheral leukocytes in Alzheimer’s disease patients treated with divalproex sodium. Neurobiol. Aging 29, 1631–1643 (2008).

    Google Scholar 

  28. He, P. et al. ITGA2 protein is associated with rheumatoid arthritis in Chinese and affects cellular function of T cells. Clin. Chim. Acta 523, 208–215 (2021).

    Google Scholar 

  29. Lepper, M. F. et al. Proteomic landscape of patient-derived CD4 + T cells in recent-onset type 1 diabetes. J. Proteome Res. 17, 618–634 (2018).

    Google Scholar 

  30. Rangel-Zúñiga, O. A. et al. Proteome from patients with metabolic syndrome is regulated by quantity and quality of dietary lipids. BMC Genomics 16, 509 (2015).

    Google Scholar 

  31. Leite, G. G. F. et al. Combined transcriptome and proteome leukocyte’s profiling reveals up-regulated module of genes/proteins related to low density neutrophils and impaired transcription and translation processes in clinical sepsis. Front. Immunol. https://doi.org/10.3389/fimmu.2021.744799 (2021).

    Google Scholar 

  32. Wright, C. et al. Ankylosing spondylitis monocytes show upregulation of proteins involved in inflammation and the ubiquitin proteasome pathway. Ann. Rheum. Dis. 68, 1626–1632 (2009).

    Google Scholar 

  33. Guito, J. C. et al. Asymptomatic infection of Marburg virus reservoir bats is explained by a strategy of immunoprotective disease tolerance. Curr. Biol. 31, 257-270.e5 (2021).

    Google Scholar 

  34. Irving, A. T. et al. Optimizing dissection, sample collection and cell isolation protocols for frugivorous bats. Methods. Ecol. Evol. 11, 150–158 (2020).

    Google Scholar 

  35. Roland, K. et al. Proteomic responses of peripheral blood mononuclear cells in the European eel (Anguilla anguilla) after perfluorooctane sulfonate exposure. Aquat. Toxicol. 128–129, 43–52 (2013).

    Google Scholar 

  36. Wilkerson, M. D. & Hayes, D. N. ConsensusClusterPlus: A class discovery tool with confidence assessments and item tracking. Bioinformatics 26, 1572–1573 (2010).

    Google Scholar 

  37. Hooijberg, E. H. et al. Assessment of the acute phase response in healthy and injured Southern White Rhinoceros (Ceratotherium simum simum). Front. Vet. Sci. 6, 475 (2020).

    Google Scholar 

  38. Yu, G. et al. clusterProfiler: An R package for comparing biological themes among gene clusters. OMICS 16(5), 284–287 (2012).

    Google Scholar 

  39. Liberzon, A. et al. Molecular signatures database (MSigDB) 3.0. Bioinformatics 27 (12), 1739–1740 (2011).

    Google Scholar 

  40. Maekawa, S. et al. RNA sequencing for ligature induced periodontitis in mice revealed important role of S100A8 and S100A9 for periodontal destruction. Sci. Rep. 9, 14663 (2019).

    Google Scholar 

  41. Dahlstrand Rudin, A. et al. The neutrophil subset defined by CD177 expression is preferentially recruited to gingival crevicular fluid in periodontitis. J. Leukoc. Biol. 109, 349–362 (2021).

    Google Scholar 

  42. Silbereisen, A. et al. Regulation of PGLYRP1 and TREM-1 during progression and resolution of gingival inflammation. JDR Clin. Transl. Res. 4, 352–359 (2019).

    Google Scholar 

  43. Yucel, Z. P. K. et al. Salivary biomarkers in the context of gingival inflammation in children with cystic fibrosis. J. Periodontol. 91, 1339–1347 (2020).

    Google Scholar 

  44. Lira-Junior, R. et al. S100A12 expression is modulated during monocyte differentiation and reflects periodontitis severity. Front. Immunol. 11, (2020).

  45. Lundmark, A. et al. Gene expression profiling of periodontitis-affected gingival tissue by spatial transcriptomics. Sci. Rep. 8, 9370 (2018).

    Google Scholar 

  46. Franco, C., Patricia, H.-R., Timo, S., Claudia, B. & Marcela, H. Matrix metalloproteinases as regulators of periodontal inflammation. Int. J. Mol. Sci. 18, 440 (2017).

    Google Scholar 

  47. Baus-Domínguez, M. et al. Using genetics in periodontal disease to justify implant failure in Down syndrome patients. J. Clin. Med. 9, 2525 (2020).

    Google Scholar 

  48. Cavalla, F. et al. Proteomic profiling and differential messenger RNA expression correlate HSP27 and serpin family B member 1 to apical periodontitis outcomes. J. Endod. 43, 1486–1493 (2017).

    Google Scholar 

  49. Bose, A., Narayan, S. J. & Santosh, H. N. A randomized controlled crossover trial for reinforcement of epithelial barrier function by vitamin D induction of the antimicrobial peptide cathelicidin - A novel therapeutic approach in chronic periodontitis. RGUHS J. Dent. Sci. https://doi.org/10.26715/rjds.14_3_12 (2022).

    Google Scholar 

  50. Türkoğlu, O., Azarsız, E., Emingil, G., Kütükçüler, N. & Atilla, G. Are proteinase 3 and cathepsin C enzymes related to pathogenesis of periodontitis?. BioMed Res. Int. e420830 (2014).

  51. Foratori-Junior, G. A. et al. Label-free quantitative proteomic analysis reveals inflammatory pattern associated with obesity and periodontitis in pregnant women. Metabolites 12, 1091 (2022).

    Google Scholar 

  52. Li, Q. et al. Proteomic analysis of human periodontal ligament cells under hypoxia. Proteome Sci. https://doi.org/10.1186/s12953-019-0151-2 (2019).

    Google Scholar 

  53. Devanoorkar, A., Kathariya, R., Guttiganur, N., Gopalakrishnan, D. & Bagchi, P. Resistin: A potential biomarker for periodontitis influenced diabetes mellitus and diabetes induced periodontitis. Dis. Markers e930206 (2014).

    Google Scholar 

  54. Velickovic, M. et al. Galectin-3, possible role in pathogenesis of periodontal diseases and potential therapeutic target. Front. Pharmacol. 12, (2021).

  55. Xiong, Z., Fang, Y., Lu, S., Sun, Q. & Huang, J. Identification and validation of signature genes and potential therapy targets of inflammatory bowel disease and periodontitis. J. Inflamm. Res. 16, 4317–4330 (2023).

    Google Scholar 

  56. Gölz, L. et al. LPS from P. gingivalis and hypoxia increases oxidative stress in periodontal ligament fibroblasts and contributes to periodontitis. Mediat. Inflamm. e986264 (2014)

  57. Berlutti, F., Pilloni, A., Pietropaoli, M., Polimeni, A. & Valenti, P. Lactoferrin and oral diseases: Current status and perspective in periodontitis. Annali di Stomatologia (Roma) 2, 10–18 (2012).

    Google Scholar 

  58. Liu, J. et al. Discovering genetic linkage between periodontitis and type 1 diabetes: A bioinformatics study. Front. Genet. 14, 75 (2023).

    Google Scholar 

  59. Bao, W., Wang, L., Liu, X. & Li, M. Predicting diagnostic biomarkers associated with immune infiltration in Crohn’s disease based on machine learning and bioinformatics. Eur. J. Med. Res. 28, 255 (2023).

    Google Scholar 

  60. Dheer, R. et al. Microbial signatures and innate immune gene expression in lamina propria phagocytes of inflammatory bowel disease patients. Cell. Mol. Gastroenterol. Hepatol. 9, 387–402 (2020).

    Google Scholar 

  61. Nowak, J. K. et al. Characterisation of the circulating transcriptomic landscape in inflammatory bowel disease provides evidence for dysregulation of multiple transcription factors including NFE2, SPI1, CEBPB, and IRF2. J. Crohns Colitis. 16, 1255–1268 (2022).

    Google Scholar 

  62. Iida, H. et al. Paraimmunobiotic bifidobacteria modulate the expression patterns of peptidoglycan recognition proteins in porcine intestinal epitheliocytes and antigen presenting cells. Cells 8, 891 (2019).

    Google Scholar 

  63. Guo, X. et al. Gut microbiota is a potential biomarker in inflammatory bowel disease. Front. Nutr. 8, 818902 (2022).

    Google Scholar 

  64. Zhang, X. et al. Widespread protein lysine acetylation in gut microbiome and its alterations in patients with Crohn’s disease. Nat. Commun. 11, 4120 (2020).

    Google Scholar 

  65. Rodrigues, D. M. et al. Matrix metalloproteinase 9 contributes to gut microbe homeostasis in a model of infectious colitis. BMC Microbiol. 12, 105 (2012).

    Google Scholar 

  66. Rahabi, M. et al. Divergent roles for macrophage C-type lectin receptors, dectin-1 and mannose receptors, in the intestinal inflammatory response. Cell Rep. 30, 4386-4398e.e5 (2020).

    Google Scholar 

  67. Kriaa, A. et al. Serine proteases at the cutting edge of IBD: Focus on gastrointestinal inflammation. FASEB J. 34, 7270–7282 (2020).

    Google Scholar 

  68. Yan, P. et al. Integrating the serum proteomic and fecal metaproteomic to analyze the impacts of overweight/obesity on IBD: a pilot investigation. Clin. Proteomics. 20, 6 (2023).

    Google Scholar 

  69. Su, T. et al. Myeloid-derived grancalcin instigates obesity-induced insulin resistance and metabolic inflammation in male mice. Nat. Commun. 15, 97 (2024).

    Google Scholar 

  70. Liang, W. et al. Intestinal cathelicidin antimicrobial peptide shapes a protective neonatal gut microbiota against pancreatic autoimmunity. Gastroenterology 162, 1288–1302e16 (2022).

    Google Scholar 

  71. Soussou, S. et al. Serine proteases and metalloproteases are highly increased in irritable bowel syndrome Tunisian patients. Sci. Rep. 13, 17571 (2023).

    Google Scholar 

  72. Melle, C. et al. Different expression of calgizzarin (S100A11) in normal colonic epithelium, adenoma and colorectal carcinoma. Int. J. Oncol. 28, 195–200 (2006).

    Google Scholar 

  73. Wang, C., Li, Y., Li, S., Chen, M. & Hu, Y. Proteomics combined with RNA sequencing to screen biomarkers of sepsis. Infect. Drug Resist. 15, 5575–5587 (2022).

    Google Scholar 

  74. Chen, L. et al. The landscape of isoform switches in sepsis: A multicenter cohort study. Sci. Rep. 12(1), 10276 (2022).

    Google Scholar 

  75. Volarevic, V. et al. Galectin-3 regulates indoleamine-2,3-dioxygenase-dependent cross-talk between colon-infiltrating dendritic cells and T regulatory cells and may represent a valuable biomarker for monitoring the progression of ulcerative colitis. Cells 8, 709 (2019).

    Google Scholar 

  76. Hinrichsen, F. et al. Microbial regulation of hexokinase 2 links mitochondrial metabolism and cell death in colitis. Cell Metab. 33, 2355-2366e.e8 (2021).

    Google Scholar 

  77. Martínez-Herrero, S. & Martínez, A. Adrenomedullin: Not just another gastrointestinal peptide. Biomolecules 12, 156 (2022).

    Google Scholar 

  78. Mui, L., Martin, C. M., Tschirhart, B. J. & Feng, Q. Therapeutic potential of annexins in sepsis and COVID-19. Front. Pharmacol. https://doi.org/10.3389/fphar.2021.735472 (2021).

    Google Scholar 

  79. Wang, W. et al. Dietary catalase supplementation alleviates deoxynivalenol-induced oxidative stress and gut microbiota dysbiosis in broiler chickens. Toxins 14, 830 (2022).

    Google Scholar 

  80. Deng, L. et al. Upregulation of soluble resistance-related calcium-binding protein (sorcin) in gastric cancer. Med. Oncol. 27, 1102–1108 (2010).

    Google Scholar 

  81. Kruzel, M. L., Zimecki, M. & Actor, J. K. Lactoferrin in a context of inflammation-induced pathology. Front. Immunol. https://doi.org/10.3389/fimmu.2017.01438 (2017).

    Google Scholar 

  82. Zhu, M., Dagah, O. M. A., Silaa, B. B. & Lu, J. Thioredoxin/glutaredoxin systems and gut microbiota in NAFLD: Interplay, mechanism, and therapeutical potential. Antioxidants 12, 1680 (2023).

    Google Scholar 

  83. Ryckman, C., Vandal, K., Rouleau, P., Talbot, M. & Tessier, P. A. Proinflammatory activities of S100: Proteins S100A8, S100A9, and S100A8/A9 induce neutrophil chemotaxis and adhesion 1. J. Immunol. 170, 3233–3242 (2003).

    Google Scholar 

  84. Henke, M. O. et al. Up-regulation of S100A8 and S100A9 protein in bronchial epithelial cells by lipopolysaccharide. Exp. Lung Res. 32, 331–347 (2006).

    Google Scholar 

  85. Saha, R. et al. Inflammatory signature in acute-on-chronic liver failure includes increased expression of granulocyte genes ELANE, MPO and CD177. Sci. Rep. 11, 18849 (2021).

    Google Scholar 

  86. Luo, Q. et al. Serum PGLYRP–1 is a highly discriminatory biomarker for the diagnosis of rheumatoid arthritis. Mol. Med. Rep. 19, 589–594 (2019).

    Google Scholar 

  87. Meijer, B., Gearry, R. B. & Day, A. S. The role of S100A12 as a systemic marker of inflammation. Int. J. Inflam. e907078 (2012).

    Google Scholar 

  88. Liu, W. & Rodgers, G. P. Olfactomedin 4 expression and functions in innate immunity, inflammation, and cancer. Cancer Metastasis Rev. 35, 201–212 (2016).

    Google Scholar 

  89. Snelgrove, R. J. et al. A critical role for LTA4H in limiting chronic pulmonary neutrophilic inflammation. Science 330, 90–94 (2010).

    Google Scholar 

  90. Choi, Y. J. et al. SERPINB1-mediated checkpoint of inflammatory caspase activation. Nat. Immunol. 20, 276–287 (2019).

    Google Scholar 

  91. Jo, M. et al. Astrocytic orosomucoid-2 modulates microglial activation and neuroinflammation. J. Neurosci. 37, 2878–2894 (2017).

    Google Scholar 

  92. Reinholz, M., Ruzicka, T. & Schauber, J. Cathelicidin LL-37: An antimicrobial peptide with a role in inflammatory skin disease. Ann. Dermatol. 24, 126–135 (2012).

    Google Scholar 

  93. Sawyer, A. J., Garand, M., Chaussabel, D. & Feng, C. G. Transcriptomic profiling identifies neutrophil-specific upregulation of cystatin F as a marker of acute inflammation in humans. Front. Immunol. https://doi.org/10.3389/fimmu.2021.634119 (2021).

    Google Scholar 

  94. Zhang, L., Zhu, T., Miao, H. & Liang, B. The calcium binding protein S100A11 and its roles in diseases. Front. Cell Dev. Biol. 9, 693262 (2021).

    Google Scholar 

  95. Bi, X. et al. GSTP1 inhibits LPS-induced inflammatory response through regulating autophagy in THP-1 cells. Inflammation 43(3), 1156–1169 (2020).

    Google Scholar 

  96. Nagaev, I., Bokarewa, M., Tarkowski, A. & Smith, U. Human resistin is a systemic immune-derived proinflammatory cytokine targeting both leukocytes and adipocytes. PLoS One 1, e31 (2006).

    Google Scholar 

  97. Liu, F.-T., Yang, R.-Y. & Hsu, D. K. Galectins in acute and chronic inflammation. Ann. N. Y. Acad. Sci. 1253, 80–91 (2012).

    Google Scholar 

  98. Steck, A. J., Kinter, J. & Renaud, S. Differential gene expression in nerve biopsies of inflammatory neuropathies. J. Peripher. Nerv. Syst. 16, 30–33 (2011).

    Google Scholar 

  99. Wyatt, E. et al. Regulation and cytoprotective role of hexokinase III. PLoS One 5, e13823 (2010).

    Google Scholar 

  100. Sun, J. et al. Adrenomedullin 2 attenuates LPS-induced inflammation in microglia cells by receptor-mediated cAMP-PKA pathway. Neuropeptides 85, 102109 (2021).

    Google Scholar 

  101. Han, P.-F. et al. Annexin A1 involved in the regulation of inflammation and cell signaling pathways. Chin. J. Traumatol. 23, 96–101 (2020).

    Google Scholar 

  102. Jang, B.-C. et al. Catalase induced expression of inflammatory mediators via activation of NF-κB, PI3K/AKT, p70S6K, and JNKs in BV2 microglia. Cell. Signal. 17, 625–633 (2005).

    Google Scholar 

  103. Wang, Y. et al. Soluble resistance-related calcium-binding protein participates in multiple diseases via protein-protein interactions. Biochimie 189, 76–86 (2021).

    Google Scholar 

  104. Cao, M.-Q. et al. Cross talk between oxidative stress and hypoxia via thioredoxin and HIF-2α drives metastasis of hepatocellular carcinoma. FASEB J. 34, 5892–5905 (2020).

    Google Scholar 

  105. Azarova, I. E., Klyosova, E. Y., Kolomoets, I. I. & Polonikov, A. V. Polymorphic variants of the neutrophil cytosolic factor 2 gene: Associations with susceptibility to type 2 diabetes mellitus and cardiovascular autonomic neuropathy. Russ. J. Genet. 58, 593–602 (2022).

    Google Scholar 

  106. Ma, J. et al. Glycogen metabolism regulates macrophage-mediated acute inflammatory responses. Nat. Commun. 11, 1769 (2020).

    Google Scholar 

  107. Miller, M. A. & Buss, P. E. Rhinoceridae (Rhinoceroses). in Fowler’s Zoo and Wild Animal Medicine, Volume 8 538–547 (Elsevier, 2015). https://doi.org/10.1016/B978-1-4557-7397-8.00055-4

  108. Sprenkeler, E. G. G. et al. S100A8/A9 is a marker for the release of neutrophil extracellular traps and induces neutrophil activation. Cells 11, 236 (2022).

    Google Scholar 

  109. Burn, G. L., Foti, A., Marsman, G., Patel, D. F. & Zychlinsky, A. The neutrophil. Immunity 54, 1377–1391 (2021).

    Google Scholar 

  110. Eichelberger, K. R. & Goldman, W. E. Manipulating neutrophil degranulation as a bacterial virulence strategy. PLoS Pathog. 16, e1009054 (2020).

    Google Scholar 

  111. Lehman, H. K. & Segal, B. H. The role of neutrophils in host defense and disease. J. Allergy Clin. Immunol. 145, 1535–1544 (2020).

    Google Scholar 

  112. Taylor, L. A. et al. Tooth wear in captive rhinoceroses (Diceros, Rhinoceros, Ceratotherium: Perissodactyla) differs from that of free-ranging conspecifics. Contrib. Zool. 83, 107-S1 (2014).

    Google Scholar 

  113. Albuquerque-Souza, E. & Sahingur, S. E. Periodontitis, chronic liver diseases, and the emerging oral-gut-liver axis. Periodontol. 2000 89, 125–141 (2022).

    Google Scholar 

  114. Clauss, M. & Dierenfeld, E. S. The nutrition of browsers. in Zoo Wild Anim. Medicine 444–454 (Elsevier, 2008). https://doi.org/10.1016/B978-141604047-7.50058-0

  115. Wei, L., Liu, M. & Xiong, H. Role of calprotectin as a biomarker in periodontal disease. Mediators Inflamm. 2019, 1–10 (2019).

    Google Scholar 

  116. Alder, M. N. et al. Olfactomedin 4 marks a subset of neutrophils in mice. Innate Immun. 25, 22–33 (2019).

    Google Scholar 

  117. Sansores-España, L. D. et al. Neutrophil N1 and N2 subsets and their possible association with periodontitis: A scoping review. Int. J. Mol. Sci. 23, 12068 (2022).

    Google Scholar 

  118. Silberman, M. S. & Fulton, R. B. Medical problems of captive and wild rhinoceros: A review of the literature and personal experiences. J. Zoo Anim. Med. 10, 6–16 (1979).

    Google Scholar 

  119. Gibson, K. M. et al. Gut microbiome differences between wild and captive black rhinoceros – Implications for rhino health. Sci. Rep. 9, 7570 (2019).

    Google Scholar 

  120. Planell, N. et al. Usefulness of transcriptional blood biomarkers as a non-invasive surrogate marker of mucosal healing and endoscopic response in ulcerative colitis. J. Crohns Colitis. 11, 1335–1346 (2017).

    Google Scholar 

  121. Brynjolfsson, S. F. et al. An antibody against triggering receptor expressed on myeloid cells 1 (TREM-1) dampens proinflammatory cytokine secretion by lamina propria cells from patients with IBD. Inflamm. Bowel Dis. 22, 1803–1811 (2016).

    Google Scholar 

  122. Dumitru, A. et al. Endotoxin inflammatory action on cells by dysregulated-immunological-barrier-linked ROS-apoptosis mechanisms in gut–liver axis. Int. J. Mol. Sci. 25, 2472 (2024).

    Google Scholar 

  123. Tilg, H., Moschen, A. R. & Szabo, G. Interleukin-1 and inflammasomes in alcoholic liver disease/acute alcoholic hepatitis and nonalcoholic fatty liver disease/nonalcoholic steatohepatitis. Hepatology 64, 955–965 (2016).

    Google Scholar 

  124. Xu, R., Huang, H., Zhang, Z. & Wang, F. S. The role of neutrophils in the development of liver diseases. Cell. Mol. Immunol. 11, 224–231 (2014).

    Google Scholar 

  125. Ganz, T., Goff, J., Klasing, K., Nemeth, E. & Roth, T. IOD in rhinos - Immunity Group Report: Report from the immunity, genetics and toxicology working group of the international workshop on iron overload disorder in browsing rhinoceros (February 2011). J. Zoo Wildl. Med. 43, S117–S119 (2012).

    Google Scholar 

  126. Sullivan, K. E., Mylniczenko, N. D., Nelson, S. E., Coffin, B. & Lavin, S. R. Practical management of iron overload disorder (IOD) in black rhinoceros (BR; Diceros bicornis). Animals 10, 1991 (2020).

    Google Scholar 

  127. Paglia, D. E. & Tsu, I.-H. Review of laboratory and necropsy evidence for iron storage disease acquired by browser rhinoceroses. J. Zoo Wildl. Med. https://doi.org/10.1638/2011-0177.1 (2012).

    Google Scholar 

  128. Ganz, T. & Nemeth, E. Iron homeostasis and its disorders in mice and men: Potential lessons for rhinos. J. Zoo Wildl. Med. 43, S19–S26 (2012).

    Google Scholar 

  129. Roth, T. L., Philpott, M. & Wojtusik, J. Rhinoceros serum labile plasma iron and associated redox potential: Interspecific variation, sex bias and iron overload disorder disconnect. Conserv. Physiol. 10, coac025 (2022).

    Google Scholar 

  130. Tang, J., Yan, Z., Feng, Q., Yu, L. & Wang, H. The roles of neutrophils in the pathogenesis of liver diseases. Front. Immunol. 12, 625472 (2021).

    Google Scholar 

  131. Obisesan, A. O., Zygiel, E. M. & Nolan, E. M. Bacterial responses to iron withholding by calprotectin. Biochemistry 60, 3337–3346 (2021).

    Google Scholar 

  132. Moles, A. et al. A TLR2/S100A9/CXCL-2 signaling network is necessary for neutrophil recruitment in acute and chronic liver injury in the mouse. J. Hepatol. 60, 782–791 (2014).

    Google Scholar 

  133. Oliveira, T. H. C. D., Marques, P. E., Proost, P. & Teixeira, M. M. M. Neutrophils: A cornerstone of liver ischemia and reperfusion injury. Lab. Invest. 98, 51–62 (2018).

    Google Scholar 

  134. Motiño, O. et al. Protective role of hepatocyte cyclooxygenase-2 expression against liver ischemia–reperfusion injury in mice. Hepatology 70, 650–665 (2019).

    Google Scholar 

  135. Jiang, W. & Banks, W. A. Viewpoint: Is lipopolysaccharide a hormone or a vitamin?. Brain Behav. Immun. 114, 1–2 (2023).

    Google Scholar 

  136. Opal, S. M. et al. Relationship between plasma levels of lipopolysaccharide (LPS) and LPS-binding protein in patients with severe sepsis and septic shock. J. Infect. Dis. 180, 1584–1589 (1999).

    Google Scholar 

  137. Senior, J. M., Proudman, C. J., Leuwer, M. & Carter, S. D. Plasma endotoxin in horses presented to an equine referral hospital: Correlation to selected clinical parameters and outcomes. Equine Vet. J. 43, 585–591 (2011).

    Google Scholar 

  138. Boribong, B. P., Lenzi, M. J., Li, L. & Jones, C. N. Super-low dose lipopolysaccharide dysregulates neutrophil migratory decision-making. Front. Immunol. 10, 359 (2019).

    Google Scholar 

  139. Liu, S. et al. Neutrophil extracellular traps are indirectly triggered by lipopolysaccharide and contribute to acute lung injury. Sci. Rep. 6, 37252 (2016).

    Google Scholar 

  140. Sandler, N. G. & Douek, D. C. Microbial translocation in HIV infection: Causes, consequences and treatment opportunities. Nat. Rev. Microbiol. 10, 655–666 (2012).

    Google Scholar 

  141. Fallon, J. P., Reeves, E. P. & Kavanagh, K. Inhibition of neutrophil function following exposure to the Aspergillus fumigatus toxin fumagillin. J. Med. Microbiol. 59, 625–633 (2010).

    Google Scholar 

  142. Danne, C. Neutrophils: Old cells in IBD, new actors in interactions with the gut microbiota. Clin. Transl. Med. 14, e1739 (2024).

    Google Scholar 

  143. Ficoll-Paque® PLUS and Ficoll-Paque® premium centrifugation media, Cytiva. VWR https://us.vwr.com/store/product/4779441/ficoll-paque-plus-and-ficoll-paque-premium-centrifugation-media-cytiva

  144. Diceros bicornis minor (ID 8992) - Genome - NCBI. https://www.ncbi.nlm.nih.gov/genome/8992?genome_assembly_id=1737831

  145. MetaMorpheus. Free, open-source PTM discovery. MetaMorpheus https://smith-chem-wisc.github.io/MetaMorpheus/

  146. Solntsev, S. K., Shortreed, M. R., Frey, B. L. & Smith, L. M. Enhanced global post-translational modification discovery with MetaMorpheus. J. Proteome Res. 17, 1844–1851 (2018).

    Google Scholar 

  147. Wilmarth, P. PAW_BLAST. (2023).

  148. Homo sapiens (Human) | Proteomes | UniProt. https://www.uniprot.org/proteomes/UP000005640

  149. Stekhoven, D. stekhoven/missForest. (2024).

  150. Stekhoven, D. J. & Bühlmann, P. MissForest—Non-parametric missing value imputation for mixed-type data. Bioinformatics 28, 112–118 (2012).

    Google Scholar 

  151. Ritchie, M. E. et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 43, e47 (2015).

    Google Scholar 

  152. Wilkinson, L. Ggplot2: Elegant graphics for data analysis by WICKHAM, H. Biometrics 67, 678–679 (2011).

    Google Scholar 

  153. Kolde, R. Pretty Heatmaps. R package. (2019).

  154. Galili, T. Dendextend: An R package for visualizing, adjusting and comparing trees of hierarchical clustering. Bioinformatics 31, 3718–3720 (2015).

    Google Scholar 

Download references

Acknowledgements

We acknowledge the contributions of the zoological institutions that made this work possible: Abilene Zoo, Blank Park Zoo, Lincoln Park Zoo, Cheyenne Mountain Zoo, Columbus Zoo and Aquarium, Denver Zoo, Disney’s Animal Kingdom®, El Coyote Ranch, Fort Worth Zoo, Fossil Rim Wildlife Center, Little Rock Zoo, Milwaukee County Zoo, Potter Park Zoo, Sedgwick County Zoo, White Oak Conservation , and South Africa National Parks (SANParks). We would also like to thank Sabrina Amann-Ross for graphic design support.

Funding

We would also like to acknowledge the International Rhino Foundation (B. Pukazhenthi), Morris Animal Foundation (B. Pukazhenthi and M. Corder), George Mason University (M. Corder and W. Zhou), Smithsonian Museum Conservation Institute (T. Cleland), and the Smithsonian’s National Zoo and Conservation Biology Institute (B. Pukazhenthi) for funding this research.

Author information

Author notes
  1. Rebecca Dikow

    Present address: Yale University, New Haven, CT, USA

  2. Parker Pennington

    Present address: Colossal Biosciences, Dallas, TX, USA

  3. A. Alonso Aguirre

    Present address: Department of Fish, Wildlife and Conservation Biology, Warner College of Natural Resources, Colorado State University, Fort Collins, CO, USA

Authors and Affiliations

  1. Center for Species Survival, Smithsonian’s National Zoo & Conservation Biology Institute, Front Royal, VA, USA

    Molly L. Corder, Jennifer Nagashima, Janine L. Brown, Steve Paris, Parker Pennington & Budhan Pukazhenthi

  2. Environmental Science & Policy Department, George Mason University, Fairfax, VA, USA

    Molly L. Corder & A. Alonso Aguirre

  3. Gynecologic Cancer Center of Excellence, Department of Gynecologic Surgery and Obstetrics, Uniformed Services University of the Health Sciences, Walter Reed National Military Medical Center, Bethesda, MD, USA

    Tamara Abulez & Nicholas W. Bateman

  4. The Henry M. Jackson Foundation for the Advancement of Military Medicine Inc, Bethesda, MD, USA

    Tamara Abulez & Nicholas W. Bateman

  5. Museum Conservation Institute, Smithsonian Institution, Suitland, MD, USA

    Timothy Cleland

  6. Center for Applied Proteomics & Molecular Medicine, George Mason University, Manassas, VA, USA

    Emanuel F. Petricoin & Weidong Zhou

  7. South African Medical Research Council Centre for Tuberculosis Research, Division of Molecular Biology and Human Genetics, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa

    Michele Miller

  8. Veterinary Wildlife Services, South African National Parks, Kruger National Park, Skukuza, South Africa

    Peter Buss & Leana Rossouw

  9. White Oak Conservation, Yulee, FL, USA

    Scott Citino

  10. Fort Worth Zoo, Fort Worth, TX, USA

    John A. Griffioen

  11. Fossil Rim Wildlife Center, Glen Rose, TX, USA

    Holly Haefele

  12. Data Science Lab, Office of the Chief Information Officer, Smithsonian Institution, Washington, DC, USA

    Rebecca Dikow

  13. Murtha Cancer Center/Research Program, Department of Surgery, Uniformed Services University of the Pathology and Laboratory Medicine, Inova Health Sciences, Bethesda, System, MD, VA, USA

    Thomas P. Conrads & Nicholas W. Bateman

  14. Women’s Health Integrated Research Center, Inova Women’s Service Line, Inova Health System, Falls Church, VA, USA

    Thomas P. Conrads

  15. Smithsonian-Mason School of Conservation, George Mason University, Front Royal, VA, USA

    Joshua Davis

Authors
  1. Molly L. Corder
    View author publications

    Search author on:PubMed Google Scholar

  2. Tamara Abulez
    View author publications

    Search author on:PubMed Google Scholar

  3. Timothy Cleland
    View author publications

    Search author on:PubMed Google Scholar

  4. Emanuel F. Petricoin
    View author publications

    Search author on:PubMed Google Scholar

  5. Weidong Zhou
    View author publications

    Search author on:PubMed Google Scholar

  6. Jennifer Nagashima
    View author publications

    Search author on:PubMed Google Scholar

  7. Michele Miller
    View author publications

    Search author on:PubMed Google Scholar

  8. Peter Buss
    View author publications

    Search author on:PubMed Google Scholar

  9. Leana Rossouw
    View author publications

    Search author on:PubMed Google Scholar

  10. Scott Citino
    View author publications

    Search author on:PubMed Google Scholar

  11. John A. Griffioen
    View author publications

    Search author on:PubMed Google Scholar

  12. Holly Haefele
    View author publications

    Search author on:PubMed Google Scholar

  13. Janine L. Brown
    View author publications

    Search author on:PubMed Google Scholar

  14. Steve Paris
    View author publications

    Search author on:PubMed Google Scholar

  15. Rebecca Dikow
    View author publications

    Search author on:PubMed Google Scholar

  16. Parker Pennington
    View author publications

    Search author on:PubMed Google Scholar

  17. Thomas P. Conrads
    View author publications

    Search author on:PubMed Google Scholar

  18. Nicholas W. Bateman
    View author publications

    Search author on:PubMed Google Scholar

  19. Joshua Davis
    View author publications

    Search author on:PubMed Google Scholar

  20. A. Alonso Aguirre
    View author publications

    Search author on:PubMed Google Scholar

  21. Budhan Pukazhenthi
    View author publications

    Search author on:PubMed Google Scholar

Contributions

MC, EP and BP conceived the project, analyzed the data, and wrote the main manuscript text.TB, JN, TPC, NWB, and AA assisted with data analysis and interpretation.TA, TC and WZ assisted with mass spectrometry data analysis and interpretation.MM, PB, LR, SC, JAG, PP, and HH assisted with sample collections and data interpretation.JLB and SP assisted with ELISA data generation, analysis, and interpretation.RD assisted with data analysis.JD assisted with statistical analysis and data interpretation.All authors reviewed the manuscript.

Corresponding author

Correspondence to Budhan Pukazhenthi.

Ethics declarations

Competing interests

The authors declare no competing interests.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Supplementary Information

Below is the link to the electronic supplementary material.

Supplementary Material 1 (download DOCX )

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Corder, M.L., Abulez, T., Cleland, T. et al. Immunoproteomic insights into inflammatory diseases of the critically endangered black rhinoceros (Diceros bicornis). Sci Rep (2026). https://doi.org/10.1038/s41598-026-43055-0

Download citation

  • Received: 24 July 2025

  • Accepted: 28 February 2026

  • Published: 14 March 2026

  • DOI: https://doi.org/10.1038/s41598-026-43055-0

Share this article

Anyone you share the following link with will be able to read this content:

Sorry, a shareable link is not currently available for this article.

Provided by the Springer Nature SharedIt content-sharing initiative

Keywords

  • Black rhinoceros
  • Conservation medicine
  • Proteomics
  • Machine learning
Download PDF

Advertisement

Explore content

  • Research articles
  • News & Comment
  • Collections
  • Subjects
  • Follow us on Facebook
  • Follow us on X
  • Sign up for alerts
  • RSS feed

About the journal

  • About Scientific Reports
  • Contact
  • Journal policies
  • Guide to referees
  • Calls for Papers
  • Editor's Choice
  • Journal highlights
  • Open Access Fees and Funding

Publish with us

  • For authors
  • Language editing services
  • Open access funding
  • Submit manuscript

Search

Advanced search

Quick links

  • Explore articles by subject
  • Find a job
  • Guide to authors
  • Editorial policies

Scientific Reports (Sci Rep)

ISSN 2045-2322 (online)

nature.com footer links

About Nature Portfolio

  • About us
  • Press releases
  • Press office
  • Contact us

Discover content

  • Journals A-Z
  • Articles by subject
  • protocols.io
  • Nature Index

Publishing policies

  • Nature portfolio policies
  • Open access

Author & Researcher services

  • Reprints & permissions
  • Research data
  • Language editing
  • Scientific editing
  • Nature Masterclasses
  • Research Solutions

Libraries & institutions

  • Librarian service & tools
  • Librarian portal
  • Open research
  • Recommend to library

Advertising & partnerships

  • Advertising
  • Partnerships & Services
  • Media kits
  • Branded content

Professional development

  • Nature Awards
  • Nature Careers
  • Nature Conferences

Regional websites

  • Nature Africa
  • Nature China
  • Nature India
  • Nature Japan
  • Nature Middle East
  • Privacy Policy
  • Use of cookies
  • Legal notice
  • Accessibility statement
  • Terms & Conditions
  • Your US state privacy rights
Springer Nature

© 2026 Springer Nature Limited

Nature Briefing Anthropocene

Sign up for the Nature Briefing: Anthropocene newsletter — what matters in anthropocene research, free to your inbox weekly.

Get the most important science stories of the day, free in your inbox. Sign up for Nature Briefing: Anthropocene