- Research article
- Open access
- Published:
Pangolin scales as adaptations for innate immunity against pathogens
BMC Biology volume 22, Article number: 234 (2024)
Abstract
Background
Pangolins are the only mammals that have overlapping scales covering most of their bodies, and they play a crucial role in the ecosystem, biological research, and human health and disease. Previous studies indicated pangolin scale might provide an important mechanical defense to themselves. The origin and exact functions of this unique trait remain a mystery. Using a multi-omics analysis approach, we report a novel functional explanation for how mammalian scales can provide host–pathogen defense.
Results
Our data suggest that pangolin scales have a sophisticated structure that could potentially trap pathogens. We identified numerous proteins and metabolites exhibiting antimicrobial activity, which could suggest a role for scales in pathogen defense. Notably, we found evidence suggesting the presence of exosomes derived from diverse cellular origins, including mesenchymal stem cells, immune cells, and keratinocytes. This observation suggests a complex interplay where various cell types may contribute to the release of exosomes and antimicrobial compounds at the interface between scales and viable tissue. These findings indicate that pangolin scales may serve as a multifaceted defense system, potentially contributing to innate immunity. Comparisons with human nail and hair revealed pangolin-specific proteins that were enriched in functions relating to sensing, immune responses, neutrophil degranulation, and stress responses. We demonstrated the antimicrobial activity of key pangolin scale components on pathogenic bacteria by antimicrobial assays.
Conclusions
This study identifies a potential role of pangolin scales and implicates scales, as possible determinants of pathogen defense due to their structure and contents. We indicate for the first time the presence of exosomes in pangolin scales and propose the new functions of scales and their mechanisms. This new mechanism could have implications for multiple fields, including providing interesting new research directions and important insights that can be useful for synthesizing and implementing new biomimetic antimicrobial approaches.
Background
Pangolins are placental mammals belonging to the Order Pholidota, which contains four Asian and four African species. They are present in diverse habitats and provide ecosystem services such as natural pest control and improving soil quality. They also play an indispensable role in biological research and have implications for human health and disease studies [1, 2]. Unlike other placental mammals, pangolin skin is covered by large and overlapping keratinized scales, which provide a mechanical defense to this species (Fig. 1a-c) [3, 4]. The selective forces underlying the origin of this unique morphology remain a mystery, although they may provide a physical barrier to protect against predators. A previous study on the mechanical properties of scales from Chinese (Manis pentadactyla) and African (Phataginus tricuspis) pangolins revealed a unique structure consisting of crossed lamellae and interlocking sutures that provide exceptional bonding strength and shear resistance [3]. Additional functions are suggested by their bioactivities since pangolin scales have been used in Traditional Chinese Medicine to treat ailments such as skin diseases, inflammation, rheumatic arthritis, and cancers for thousands of years. Recent work has demonstrated that pangolin scale extract exhibits anti-inflammatory activity in a rheumatic arthritis rat model [5].
We previously reported that the Interferon epsilon (IFNΕ) gene was inactivated by mutations in all pangolin species that we examined, perhaps impacting resistance to infection [6]. IFNE is a type I interferon, a family that exhibits antimicrobial, anti-inflammation, antitumor, and immunomodulatory activities [7]. IFNE is exclusively expressed in the epithelial cells of the skin and the mucosa of inner organs, contributing to the first line of defense against pathogens entering the mammalian body [8, 9]. Subsequent studies also showed the inactivation of Interferon-Induced with Helicase C domain 1 (IFIH1/MDA5), a cytoplasmic RNA sensor that helps initiate the innate immune response (i.e. induce type I interferon) to viral infection [10], and the loss of Z-DNA-binding protein (ZBP1) [10], cyclic GMP-AMP Synthase (cGAS) [11] and its interacting partner, Stimulator of Interferon Genes (STING) [11], Toll-Like Receptor 5 (TLR5), and also likely Toll-Like Receptor 11 (TLR11) [12] during the evolution of pangolins. Moreover, pangolins have a reduced number of the heat shock protein (HSP) gene family members, suggesting stress susceptibility that could induce immunosuppression, compared to other mammalian lineages. These observations raise an interesting evolutionary question: how have these adaptations in pangolins occurred given their seemingly increased susceptibility to infection and stress if their skin is constantly being exposed to pathogens?
Since pangolins are the only mammals that have both keratinized scales and have lost the IFNE gene important for skin immunity, we hypothesized that keratinized scales are an evolutionarily innovative morphology that might have evolved to compensate for decreased skin immunity (e.g., reduced pangolin vulnerability to infection and protection against injuries/stress). Here we characterized the structure, composition, and functions of scales at the molecular level in order to gain better insights into this unconventional aspect of pangolin morphology and immunity.
Results
Pangolin scales may function to trap microorganisms
To gain a better understanding of the structure of scales, we visualized scales obtained from Malayan pangolins (Manis javanica) using Scanning Electron Microscopy (SEM). The scale surface was generally smooth and composed of flakes stacked together to form a hard, protective layer with the particular feature of ‘holes’ distributed across the entire surface area (Fig. 1d-h). The side view showed a porous and honeycomb-like structure with diverse pore sizes, approximately 10-20 µm (Fig. 1g). It is possible that the presence of the pores may have no functions important for the life of pangolins. However, viruses and bacteria typically have sizes less than 10 µm and may enter into the scales through the larger surface holes and become trapped by the complexity of the intra-scale morphology [13].
To investigate whether microorganisms can enter into scales, we examined the presence of microorganisms in three individual scales (CS1-CS3) of Malayan pangolins (Additional file A: Figure S1 and Additional file B: Tables S1-2). Our data revealed the presence of microbial DNA in pangolin scales using a 16S rRNA gene amplification and also a whole-genome shotgun metagenomics approach (Fig. 1i and Additional file A: Figure S2-3) [14,15,16,17,18]. Metagenomics sequencing exposed that the most abundant species found within the microbiome of CS1 was Macrococcus caseolyticus (18.4%), followed by Acinetobacter johnsonii (9.6%). For CS2, the most abundant species were Aeromonas hydrophila (3.2%) and Leclercia adecarboxylata (3%), whereas Macrococcus caseolyticus (16.7%) and Aeromonas caviae (10.5%) were among the known species found within the microbiome of CS3. The scales from these three different individual pangolins showed generally different taxonomic diversity of microbiomes, probably reflecting their exposure to different environments. We also assembled genome sequences of the topmost abundant species using the metagenomics data and obtained near-complete genomes (79.9–97.9%) from these samples, suggesting the presence of microbiota in pangolin scales (Additional file A: Figure S4). Overall, the presence of microbial DNA in pangolin scales supports the view that the scale can function to trap invading microorganisms, providing the first line of defense to protect pangolins.
Scale proteome and the identification of nano-sized exosomes
To examine the protein composition of scales, we analyzed the proteomes of three individual scales (CS4-CS6) of Malayan pangolins (Additional file A: Figure S5 and Additional file B: Table S1) using high-performance liquid chromatography with tandem mass spectrometry (HPLC–MS/MS) technology. Each scale was split into two portions: a proximal portion (PS: the scale area attached to the skin) and a distal portion (DS: the scale area not attached to the skin), which yielded six experimental protein datasets in total (Fig. 1c). Sixty-one prominent proteins that fit our stringent definition of detectability (present in at least five out of six experimental sets with protein identification probability of > 96%) were identified in the scale proteome (Additional file B: Table S3). Notably, scales are composed of flat keratinized cells that are produced when living cells die and are filled with important proteins. Therefore, it is expected that scales would not have many proteins. The majority of these proteins were predicted to be active in cellular components such as exosomes (42 genes), followed by cornified envelope (10 genes), keratin filament/desmosome (17 genes), ficolin-1-rich granule lumen/membrane (11 genes), azurophil granule lumen (4 genes), and blood microparticle (5 genes) (Additional file B: Table S4). To confirm the presence of vesicles, we isolated vesicles from pangolin scale by ultracentrifugation and visualized them using Transmission Electron Microscopy (TEM). TEM analysis revealed that exosomes in pangolin scales possessed rounded and cup-like membrane structures (Fig. 2a). Nano-flow cytometry analysis estimated these exosomes have average sizes of 73.2 ± 14.7 nm and with a concentration of 8.16 × 108 particles/mL (Fig. 2b). We conclude that pangolin scales are rich in nanoscale exosomes supported by evidence from the large number of exosome-related proteins and the exosome-like structure and size.
Pangolin scales, primarily composed of dead cells, present an intriguing source of exosomes. We hypothesized that these extracellular exosomes might originate from adjacent living cells. To elucidate their origin, we mapped 61 identified scale proteins to ExoCarta [19], an exosome database, revealing unexpected cellular sources. Substantial protein overlap was found with mesenchymal stem cells (47.5%), platelets (42.6%), thymus (34.4%), keratinocytes (27.9%), and B cells (24.6%) (Additional file B: Table S5). This diverse profile suggests contributions from stem cells, hematopoietic lineages, and epithelial cells, with the presence in blood-related sources indicating circulatory and immune system involvement.
To gain better insights into the interactome of scale proteins, we performed a network analysis using STRING [20] (Fig. 2c). The STRING functional enrichment analysis revealed three major functions: immune response (41%), response to stress (41%), and keratinization (34.4%) (Fig. 2d-f & Additional file B: Table S6).
Immune response
Immunity-related proteins were enriched in functions related to neutrophil degranulation (84%), defense response (48%), antimicrobial humoral response, and regulation of peptide transport (32%) (Fig. 2d). Interestingly, the majority of them (e.g., Lysozyme (LYZ), Secretory Leukocyte Peptidase Inhibitor (SLPI), Annexin A2 (ANXA2), S100 Calcium Binding Protein P (S100P), and Macrophage Migration Inhibitory Factor (MIF) are involved in neutrophil degranulation, the regulated exocytosis of secretory granules containing mediators such as proteases and inflammatory proteins [21]. For instance, Lysozyme (LYZ), is a well-known cornerstone of innate immunity and a critical antimicrobial protein for host defense [22]. Lysozymes have a direct antimicrobial action and work in acellular environments [22]. Another secreted protein, SLPI, is an anti-inflammatory mediator and has antimicrobial activity [23]. Two annexins, Annexin A1 (ANXA1) and Annexin A2 (ANXA2), prominent contributors to the innate immune response and anti-inflammation, were also identified [24]. Several S100 proteins (e.g., S100 calcium-binding protein A8 (S100A8) and S100 calcium-binding protein A9 (S100A9)) that are induced after infection or inflammation and exhibit antimicrobial activity were found [25]. We also identified eight proteins (e.g., Peptidylprolyl Isomerase A (PPIA) and Glyceraldehyde-3-Phosphate Dehydrogenase (GAPDH)) involved in the regulation of peptide transport.
Response to stress
We identified twenty-five stress-related proteins enriched in responses to external stimulus (56%), cellular response to chemical stimulus (52%), secretion by cell (48%), defense response to other organisms (36%), and response to unfolded protein (24%) (Fig. 2e). Pangolin scales may respond to external stimuli including external forces and pathogens. Nine proteins (LYG2, LPO, LYZ, SLPI, S100A12, S100A8, S100A9, HIST2H2BE, and GAPDH) are involved in protecting hosts from damage caused by other organisms. For instance, Lysozyme G2 (LYG2) works as a potent antibacterial protein, playing an important role in innate immunity [22]. Interestingly, we identified six proteins (e.g., Heat Shock Protein B1 (HSPB1), Heat Shock Protein A5 (HSPA5) and Heat Shock Protein A8 (HSPA8)) enriched in the responses to unfolded proteins, which may play a role in stress. HSPB1 is known for its antioxidant properties and functions as a chaperone to maintain proteins in a folding state, thus, it is critical in stress resistance [26].
Keratinization
Twenty-one scale proteins are involved in keratinization, an important process that forms the tough scale structure (Fig. 2f). They were divided into two distinct subclusters. One subcluster was mainly keratin proteins, likely playing an important role in the development of pangolin scales with mechanical resistance, structural stability, and water repellence. The second subcluster was composed of seven non-keratin proteins with functions such as cornification, cell adhesion, peptide crosslinking, and desmosome organization.
Together, these results suggest that pangolin scales may possess antimicrobial, anti-stress or anti-inflammation proteins that could enable defense against microorganisms and stress.
To broaden our insights, we also relaxed our protein detection criteria (present in ≥ 3/6 experimental sets, > 96% identification probability), identifying 94 proteins in the pangolin scale proteome (Additional file B: Table S7). While this approach may capture low-abundance proteins missed by stringent criteria, STRING analysis of this expanded dataset yielded similar enriched biological processes to the original 61-protein set (Additional file B: Table S8). Notably, the distribution pattern of exosome-derived cell types remained consistent with our initial findings (Additional file B: Table S9).
Comparative analysis of scale, hair, and nail
Observations of pangolins and their closest relatives (Carnivora, e.g., dogs and cats) suggest that scales might have evolved from hair. To obtain better insights into the differences between scale and hair, we compared the pangolin scale protein set with the two protein sets published for human hair: Set 1 contains 175 hair proteins using the urea extraction method, whereas Set 2 contains 443 proteins identified using three different methods [27]. Of the 61 scale proteins, 31.1% of them had orthologs among human hair proteins (Set 1) (Fig. 2g). When comparing with Set 2 of proteins, this percentage increased to 59%, whereas the remaining proteins were scale-specific. These scale-specific proteins were enriched in specific functions: response to stimulus (80%), response to stress (48%), and immune response (44%), and neutrophil degranulation (36%) (Table 1). Nearly half of them were involved in immune responses, including defense response to bacteria and fungi.
We next investigated differences in the protein composition between pangolin scales and human nails since both have been suggested to be homologous structures [28]. We compared our scale protein set with the set of 143 proteins identified in human nail [29]. Of the 61 scale proteins, nearly half were scale-specific and enriched in functions related to response to stimulus, response to stress, immune response, and neutrophil degranulation (Fig. 2h and Table 1).
By using more stringent criteria, we discarded any scale protein that can be found in human hair and nail structures, yielding 19 proteins (31.1%) that were scale-specific, which were enriched in response to stimulus (78.9%), followed by response to stress (52.6%), immune response (36.8%) and neutrophil degranulation (31.6%) (Fig. 2i and Table 1). For instance, Lactoperoxidase (LPO), a natural effective antimicrobial enzyme, contributes to host defense against infection [30] and acts synergistically with lysozyme in its antimicrobial capacity [31]. Cystatin A (CSTA) has antimicrobial activity against various bacteria and viruses, and functions in immune modulation [32]. It inhibits the growth of bacteria with its apparent bactericidal activity [33]. Hemoglobin Subunit Delta (HBD) is a component of extracellular hemoglobin that can bind to cell-derived danger-associated molecular pattern (DAMPs) agents, such as heat-shock protein and S100A8, or pathogen-associated molecular patterns (PAMPs) to alert the host innate immunity [34]. S100A8/A9 form a heterodimer called calprotectin that inhibits bacteria by sequestering transition metals [35]. Both S100A9 and S100A12 have antimicrobial activity [36]. S100A9 also acts as an effective inhibitor of replication of coronavirus [37]. The presence of several heat shock proteins in scales suggests that these chaperones may help pangolins to cope with stress-induced protein denaturation [38]. Our analyses reveal the pathogen defense-related proteins in the scale-specific protein set, indicating a specific role for the pangolin scale in protection from diseases compared to human nail and hair structures.
Analysis of the 19 scale-specific proteins revealed that 11 (58%) were predicted to localize in exosomes (Table 1). Extending this analysis to the larger 94 scale protein-set identified 37 scale-specific proteins, of which 22 (59%) were predicted as exosome-associated (Additional file A: Figure S6). This consistent proportion across datasets suggests a potential role for exosome-derived proteins in pangolin scales. We hypothesize that these proteins may contribute to the unique functional properties of pangolin scales, distinguishing them from other keratinized structures in humans. This finding opens new avenues for understanding the molecular basis of pangolin scale formation and function.
Identification and screening of antibacterial metabolites
We next analyzed the scale metabolome using high-throughput mass spectrometry (MS) technology. We identified 78 prominent metabolites (Additional file B: Table S10). To verify the antibacterial capability of pangolin scales, we performed a systematic pre-screening of the anti-bacterial effects of 33 metabolites identified in pangolin scale against two typical bacteria that are proved commonly present in pangolins or their environment [39], Escherichia coli (Gram-negative) and Staphylococcus aureus (Gram-positive). We identified seven metabolites (malic acid, succinic acid, hippuric acid, fumaric acid, L-valine, citric acid, and glycine) that exhibited significant antibacterial activity (e.g., bacterial growth rates < 80% for both types of bacteria; see Additional file B: Table S11). From these, malic acid exhibited the best inhibitory effects with a Minimum Inhibitory Concentration (MIC) of 0.25C (“C” was defined as the dose of metabolites relative to their proportions in the pangolin scales) against both types of bacteria.
We next tested the antibacterial effects of a combination of malic acid and six other effective metabolites. We found that the two-metabolite combinations of malic acid can reduce MIC to 0.2C. Interestingly, the four-metabolite (malic acid, citric acid, glycine, and hippuric acid) and most higher metabolite combinations demonstrated the best inhibitory effects with a MIC of 0.1C for both S. aureus and E. coli (Fig. 3a-b and Additional file B: Table S12). Further examinations also demonstrated that the four-metabolite combination can inhibit the growth of Pseudomonas aeruginosa and Serratia marcescens (Fig. 3c-d). The antibacterial efficacy of the four metabolites was also investigated against all four bacterial species at various times of incubation. A substantial reduction was observed when the duration of the bacterial exposure to the four metabolites occurred across 24 h (Fig. 3e-f & g-h).
To understand the underlying mechanism of these metabolites, we selected the minimal combination of metabolites with the best inhibitory effect for Minimum Bactericidal Concentration (MBC) and based on their effects on bacterial cell morphology. MBC assay proved that the four-metabolite combination has bactericidal activity (MBC = ~ 0.4C) against E. coli and S. aureus (Additional file B: Table S13). Furthermore, SEM analyses showed there were apparent alterations in the morphology of bacterial cells after the four-metabolite treatment for 24 h. Compared with untreated bacteria, the outer membrane integrity of E. coli cells was damaged leaving large holes, whereas the surface of S. aureus cells was rough and shrunken (in some cases, the hole was formed on cell surfaces) after treatment (Fig. 3i). Altogether, our results showed that the metabolites identified in scales may kill both bacterial types by causing damage to the integrity of bacterial cells.
Metabolic and proteomic differences in pangolin scale and skin surface
We hypothesized that some active compounds may diffuse out from the scale pores and spread to the surface of pangolin skin, providing protection to the skin. To test this, we examined whether the skin surface of pangolins has metabolites similar to those found in scales. MS analysis identified 70 prominent metabolites that were collected on the skin surface by the swabbing method (Additional file B: Table S14). Of these metabolites, nearly all (98.6%) were found in scales, indicating that the two have near-identical sets of metabolites (Additional file A: Figure S7a). Metabolites were from classes such as amino acids, nucleotides, and peptides, and were enriched in pathways that are important for immunity or pathogen defense, including phenylalanine, tyrosine and tryptophan biosynthesis, arginine biosynthesis, tricarboxylic acid (TCA) cycle and purine metabolism [40,41,42] (Additional file A: Figure S7b). In addition, differential metabolomics analysis revealed twelve metabolites in scales that were more abundant than the metabolites on the skin surface including allantoin (80-fold increase in scales), which exhibits wound and anti-inflammatory properties, and osmolytes such as taurine (14-fold) and betaine (9.3-fold) which have been used to treat infections, inflammation or immune dysfunction in the clinical practices [43] (Additional file A: Figure S8 and Additional file B: Table S15).
To investigate whether scale and skin surfaces have similar protein profiles, we collected specimens and identified 14 prominent proteins on the skin surface using mass spectrometric (MS) technology (Additional file B: Table S16). Of these proteins, 71.4% were common on both scale and skin surfaces (Additional file A: Figure S7c). Constituent proteins were mainly enriched in cornification, defense response, inflammatory response, and response to stress. For instance, Lysozyme (LYZ), S100 calcium-binding protein A9 (A100A9), S100 calcium-binding protein A12 (S100A12), Keratin 1 (KRT1) and Actin Gamma 1 (ACTG1) were enriched in defense and stress responses against a foreign body or injury. Moreover, A100A9, S100A12 and LYZ formed a subcluster enriched in inflammatory response to infection or injury. A100A9 is also known to contribute to wound healing, psoriasis, skin inflammation and other skin diseases field [44]. Expanding our analysis to the larger 94-protein scale set only marginally increased this overlap, resulting in 11 shared proteins (Additional file A: Figure S6). Our analyses suggest that these common proteins may help pangolins to block pathogens from invading through the skin and cope with skin stress and injury.
Discussion
Here, we report a novel functional explanation for how mammalian scales can provide host–pathogen defense. We propose a Pangolin Scale Defense Mechanism (PSDM) model to describe the functions of scales in these animals (Fig. 4). According to the PSDM, pangolin scales are large and hard, providing a strong physical barrier to protect against predators, stress and pathogens. They have a sophisticated structure and clear porous holes with diverse sizes (~ 10-20 µm in diameter). The typical sizes of viruses, bacteria, and parasites are ~ 100 nm, ~ 1 µm, and up to cm, respectively [13]. Therefore, bacteria and viruses can enter the scale through its surface pores, whereas parasites may not. Notably, the overlapping scales are large and thick, and they could be an important source for generating and storing bioactive compounds, as well as distributing them to nearly the whole skin surface in order to provide host defense against invading pathogens as well as keeping the skin healthy, including possible contributions to the prevention of skin diseases.
The evolution of pangolin scales may have been driven by multiple selective pressures such as predator protection, camouflage, a site for exchange between animal and environment, and/or for immunity (i.e., for capture of microbes). The holes within the scales could be channels for the exchange of gases or nutrients with the external environment or may help to reduce the weight of the scales. However, trapping pathogens within these pores potentially increases the risk of infection. It is possible that the secretion of antimicrobial molecules into the pores acts as a countermeasure against infection. Besides, the low water content in scales may suppress the growth of microorganisms. Ultimately, further research is needed to understand the importance of pores in pathogen defense.
Our analysis of pangolin scale proteins reveals unexpected complexity in their origin and composition, challenging the view of scales as simple, inert structures. High concordance with mesenchymal stem cell proteins (47.5%) suggests a role for multipotent progenitors in scale formation or maintenance. The significant presence of proteins associated with platelets (42.6%) and B cells (24.6%) indicates previously unrecognized involvement of hematopoietic and immune-related components. We hypothesize that nanoscale exosomes from circulating blood cells could release active compounds into the scales, potentially contributing to innate immunity. This could serve as a compensatory strategy for reduced skin immunity in pangolins due to non-functional genes like IFNE. Furthermore, related research has revealed that hemoglobin alpha gene expression is upregulated in the outer layers of the human epidermis, suggesting that hemoglobin may play a role in resistance to oxidative stress [45]. This parallels our findings and suggests that similar mechanisms might be at play in pangolin scales. The relatively low overlap with keratinocyte proteins (27.9%) suggests unique properties distinct from typical mammalian keratin structures. These findings suggest that pangolin scale formation may involve contributions from various cell types, suggesting possible unique adaptations beyond physical protection.
Our results suggest crucial roles of scale-specific proteins in the evolution of pangolin scales and highlight specific sets of proteins found only in the scales (but not in human hair or nails), as well as pangolin scale proteins with human orthologs in hair and nails that indicate underlying commonalities. It is possible that pangolin scales evolved into more complex structures and functions in response to stimuli including stress and pathogens. Although the three keratin-based structures all originated from skin epithelial cells, they might be programmed in different ways to generate distinct morphologies with specialized functions over evolutionary time. Li et al. identified 54 differentially expressed proteins during pangolin scale development, with 17 overlapping with transcriptome changes, suggesting these proteins may play crucial roles in activating scale development [46]. None of these 17 proteins were found in our pangolin scale proteome, indicating our identified proteins likely function in mature scale structure, maintenance, or originate from exosomes of other tissues, rather than in initial development. This distinction underscores the difference between proteins involved in scale formation and those present in fully-formed scales.
Our results implicate pangolin scales as a natural storage or source of many bioactive molecules that may pass out from the ventral scale pores to the skin surface, thus protecting the skin, a possibility supported by several observations. First, the scale pores are large; therefore, smaller molecules can diffuse out from pores to reach the skin surface. Second, nearly all metabolites are common in both scales and on the skin surface of pangolins, suggesting that some of the skin metabolites may come from scales. Third, the presence of LYZ on the skin surface of pangolins could be unusual and could indicate that they might originate from scales. Fourth, pangolin scales are large and thick and cover almost the entire body, providing ideal structures to store molecules and distribute them to almost the entire skin surface. This could be an effective strategy to prevent the invasion of pathogens into the host’s body and keep the skin healthy.
Due to the COVID-19 pandemic, it is difficult to collect the scales of pangolins for further analysis and validation within a reasonable timeframe. Although we have provided new insights into the potential function of pangolin scales, there is still room for improvement. For instance, it would be interesting to validate our observations using the scales of other pangolin species, which have also lost the IFNE gene [6]. Further examine whether scales from other vertebrate groups such as lizards, snakes, turtles, iguanas and crocodiles in these taxa have also evolved similar functions as pangolin scales. Also, some molecules not detected by proteomics and metabolomics may be important for antimicrobial action. A ‘standard’ approach would be to use activity-guided fractionation to identify and purify the active agent(s) in an extract like this. A key focus of future research should be to directly demonstrate that pangolin scales can trap microorganisms using fluorescence in situ hybridization, isolate potential exosomes/granules from scales for detailed analyses such as comparing the contents of these vesicles with other mammalian vesicles. Comparative quantitative proteomics of scales and other keratinized structures (e.g., hair and nails) could provide deeper insights into the unique adaptations of pangolin scale composition. Besides, bacteria from pangolin scales should be isolated to test whether they have some kind of tolerance or resistance to the antibacterial activities.
Conclusions
This study provides a new perspective on the functional significance of pangolin scales, suggesting they play an important role in host–pathogen defense. Our findings indicate that pangolin scales may trap microorganisms and generate bioactive compounds that contribute to innate immunity, potentially compensating for the reduced skin immunity in pangolins. The proposed Pangolin Scale Defense Mechanism (PSDM) model highlights the sophisticated structure and multifunctional role of scales in pathogen defense.
Our results emphasize the need for further research to explore the evolutionary adaptations of pangolin scales and their potential applications in biomimetic antimicrobial approaches. Additionally, the variability in scale microbiomes may reflect environmental exposure, offering a potential method for identifying the geographical origin of confiscated pangolin scales. While there is limited evidence that scales provide unique benefits regarding human health, our results indicate that the active compounds identified are similar to those available commercially in purified form. We urge governments to provide more protection to these threatened species because of their high research value and ecological importance.
Methods
We present an overview of the Methods, with further methodological details provided in the supplementary methods as Additional file C [20, 47,48,49,50,51,52,53,54,55,56,57,58,59,60,61,62,63,64,65,66,67]. Briefly, the structure of Malayan pangolin scales was analyzed with an SEM microscope (SEM-JEOL model JSM-6510, Japan). For metagenome analysis, DNA was sequenced on the MGISEQ-2000 platform at BGI, China. The proteomes were processed and sequenced using LC–MS/MS. Network analysis of scale proteins was conducted using STRING [20]. Metabolic extracts were prepared using an extraction protocol as previously described [60]. Chromatographic separation was performed using an ultra-performance LC system (Agilent 1290 Infinity II; Agilent Technologies) and sequenced using high-resolution mass spectrometry (5600 Triple TOF Plus, Applied Biosystems/MDS Sciex, Concord, ON, Canada) equipped with an ESI source. Metabolite identification was compared with HMDB [62] and METLIN [63]. Antibacterial assays were conducted through the minimum inhibitory concentration (MIC) assay and the minimum bactericidal concentration (MBC) assay. The bacterial morphology examination was performed using SEM (Hitachi, Ltd., SU8010, Japan). Exosomes of pangolin scales were extracted by ultracentrifugation, digested with collagenase, and verified by TEM microscope (HT-700, Hitachi) and Flow NanoAnalyzer (NanoFCM INC, China).
Data availability
The sequencing data in this study have been deposited in the NCBI Sequence Read Archive (SRA) under Bioproject accession number PRJNA1155658 [68]. The mass spectrometry proteomics data have been deposited to the ProteomeXchange Consortium (http://proteomecentral.proteomexchange.org) via the PRIDE partner repository [69] with dataset identifier PXD052288 [70]. The Supplementary Figures, Supplementary Tables, Supplementary Methods, and Original Data are presented as Additional file A, Additional file B, Additional file C, and Additional file D, respectively, and can be accessed online via Figshare (https://figshare.com/) at the following DOI: https://doi.org/https://doi.org/10.6084/m9.figshare.26889598 [71]. Data supporting the findings of this study are included in the published paper and additional information.
Abbreviations
- ACTG1:
-
Actin Gamma 1
- ANXA1:
-
Annexin A1
- ANXA2:
-
Annexin A2
- cGAS:
-
Cyclic GMP-AMP Synthase
- CSTA:
-
Cystatin A
- DAMPs:
-
Damage-Associated Molecular Patterns
- GAPDH:
-
Glyceraldehyde-3-Phosphate Dehydrogenase
- HBD:
-
Hemoglobin Subunit Delta
- HSP:
-
Heat Shock Protein
- HSPA5:
-
Heat Shock Protein A5
- HSPA8:
-
Heat Shock Protein A8
- HSPB1:
-
Heat Shock Protein B1
- IFIH1/MDA5:
-
Interferon-Induced with Helicase C domain 1
- IFNE:
-
Interferon Epsilon
- KRT1:
-
Keratin 1
- LPO:
-
Lactoperoxidase
- LYG2:
-
Lysozyme G2
- LYZ:
-
Lysozyme
- MBC:
-
Minimum Bactericidal Concentration
- MIC:
-
Minimum Inhibitory Concentration
- MIF:
-
Macrophage Migration Inhibitory Factor
- MS:
-
Mass Spectrometry
- PAMPs:
-
Pathogen-Associated Molecular Patterns
- PPIA:
-
Peptidylprolyl Isomerase A
- PSDM:
-
Proposed Pangolin Scale Defense Mechanism
- S100A8:
-
S100 Calcium-Binding Protein A8
- S100A9:
-
S100 Calcium-Binding Protein A9
- S100P:
-
S100 Calcium Binding Protein P
- SEM:
-
Scanning Electron Microscopy
- SLPI:
-
Secretory Leukocyte Peptidase Inhibitor
- STING:
-
Stimulator of Interferon Genes
- TCA:
-
Tricarboxylic Acid
- TEM:
-
Transmission Electron Microscopy
- TLR11:
-
Toll-Like Receptor
- TLR5:
-
Toll-Like Receptor 5
- ZBP1:
-
Z-DNA-binding Protein
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Acknowledgements
We would like to thank Professor Robert White from the University of Cambridge, and Professor Leonard Lipovich from Wenzhou-Kean University for invaluable discussions and inputs, as well as for proofreading this manuscript. This project is a part of the International Pangolin Research Consortium.
Funding
This work was funded by the high-level talent recruitment programme for academic and research platform construction (Reference Number: 5000105) from Wenzhou-Kean University, the Wenzhou Municipal Key Laboratory for Applied Biomedical and the Biopharmaceutical Informatics [WB20211227000125] and Zhejiang Bioinformatics International Science and Technology Cooperation Center at Wenzhou-Kean University [WB20210429000008].
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S.W.C. conceived this project. S.W.C., X.T., S.Z., and J.Z. handled sample collection. K.T.L. performed the SEM experiments. S.W.C., X.T. designed and contributed to the metagenomics, metabolomics, and TEM experiments. S.W.C., X.T., and L.C. designed primers and performed PCR experiments. X.T. and L.C. processed scale samples and extracted DNA. M.W. and J.L. generated proteomic data and performed protein identification. X.T., K.S., N.S.J., G.Y.A.T., and L.C. designed and contributed to the antibacterial assay and SEM analysis. S.W.C., K.P.K., and E.W. performed data analyses and interpretation (e.g., proteomics, metabolomics, and metagenomics data). S.W.C., X.T., Y.Y., and L.C. contributed figures and tables. S.W.C., X.T., and L.C. wrote the manuscript, which was revised by N.S.J, K.P.K., and Y.Y. All authors read and approved the final manuscript.
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This work was approved (reference number: GF (2019) BASE08) by the Biology and Science Ethics Committee under the China Biodiversity Conservation and Green Development Foundation (CBCGDF).
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The authors declared that there was no conflict of interest in this study.
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12915_2024_2034_MOESM1_ESM.pdf
Additional file A: Figures S1-S8. Figure S1: Species identification of pangolin scales used in the metagenomic analyses. Figure S2: Bacterial 16S gene PCR amplification. Figure S3: Scale microbiome analyses at the genus level. Figure S4: Genome reconstruction and completeness of the topmost abundant bacteria species generated from whole-genome shotgun sequencing data. Figure S5: Species identification of pangolin scales used in the proteomic and metabolomic analyses. Figure S6: Comparative analysis of 94 scale protein-set. Figure S7: Metabolomic and proteomic differences. Figure S8: Comparative metabolomics analysis between scale and skin surface.
12915_2024_2034_MOESM2_ESM.pdf
Additional file B: Tables S1-S16. Table S1: A list of sequences used in this study. Table S2: Summary stats of scale microbiomes. Table S3: List of 61 prominent proteins identified in pangolin scale. Table S4: GO term enrichment analysis of 61 scale proteins. Table S5: Distribution of 61 scale proteins across exosome-producing cells and tissues. Table S6: STRING-annotated 61 proteins identified in pangolin scale. Table S7: List of 94 prominent proteins identified in pangolin scale. Table S8: Gene Ontology Biological Process enrichment analysis of 94 scale proteins using STRING database. Table S9: Distribution of 94 scale proteins across exosome-producing cells and tissues. Table S10: List of 78 prominent metabolites identified in pangolin scale. Table S11: Screening of 33 metabolites in pangolin scales for antibacterial effects at 12 h. Table S12: Minimum inhibitory concentration (MIC) of metabolite or combination of metabolite against E. coli and S. aureus. Table S13: Minimum Bactericidal Concentration (MBC) of metabolite combination against E. coli and S. aureus. Table S14: List of 70 metabolites identified on the skin surface of pangolins. Table S15: List of 12 differentially expressed metabolites between scale and skin. Table S16: List of 14 proteins identified on the skin surface of pangolins].
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Tian, X., Chen, L., Zhou, J. et al. Pangolin scales as adaptations for innate immunity against pathogens. BMC Biol 22, 234 (2024). https://doi.org/10.1186/s12915-024-02034-5
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DOI: https://doi.org/10.1186/s12915-024-02034-5