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Biology subjects

Matsuo, T.

Publications and source records attributed to Matsuo, T..

At least 19 recordsLinked to original sources

Structural basis for monobody OP-4 binding to open-form adenylate kinase

Monobodies are fibronectin type-III-based binding proteins that specifically bind target proteins and regulate their functions. We previously identified monobodies that selectively recognize either the OPEN or CLOSED conformation of adenylate kinase (Adk), revealing that monobodies can discriminate distinct conformational states of a target protein. However, the molecular basis of OPEN-form recognition has remained unclear because the structure of the complex between an OPEN-form-specific monobody and Adk had not been determined. To address this issue, we determined the crystal structure of the complex between Adk and the OPEN-form-specific monobody OP-4, employing hierarchical clustering analysis of X-ray diffraction datasets. The structure revealed that OP-4 binds to the surface formed by the expanded LID and CORE domains of Adk. Mutations in the interface residues reduced the OP- 4-binding affinity, indicating that the crystallographically identified interface is also relevant in solution. In particular, R123 mutations markedly impaired OP-4 binding. Molecular dynamics simulations further suggested that the R123-D159-R156 hydrogen-bond network is retained in solution and may contribute to efficient complex formation. These findings establish the structural basis for monobody OP-4 binding to open-form Adk and identify the R123-centered interaction network as a key determinant of complex formation. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=153 SRC="FIGDIR/small/742914v1_ufig1.gif" ALT="Figure 1"> View larger version (46K): org.highwire.dtl.DTLVardef@67570forg.highwire.dtl.DTLVardef@84b9caorg.highwire.dtl.DTLVardef@1c1b782org.highwire.dtl.DTLVardef@f6ed05_HPS_FORMAT_FIGEXP M_FIG C_FIG HighlightsO_LIThe crystal structure of the OPEN-form adenylate kinase/monobody OP-4 complex was successfully determined. C_LIO_LIThe crystal structure revealed that OP-4 binds to surface formed by the expanded LID and CORE domains in adenylate kinase. C_LIO_LIIsothermal titration calorimetry measurements for adenylate kinase mutants confirmed that the binding modes observed in solution are consistent with those observed in the crystal structure. C_LIO_LIMolecular dynamics simulations suggested that the R123-D159-R156 hydrogen bond network prior to OP-4 binding is important for complex formation. C_LI

biochemistry↗

Soluble CD155 immune complexes reprogram DNAM-1 signaling to potentiate antitumor immunity

Resistance to immune checkpoint inhibitors (ICIs) remains a major challenge in oncology, yet the mechanisms that selectively disable activating pathways are poorly defined. Here, we identify tumor-derived soluble CD155 (sCD155) as a systemic checkpoint that rewires DNAM-1 signaling to drive immunotherapy resistance. High plasma sCD155 levels correlate with impaired anti-PD-1 responses in patients with non-small cell lung cancer. Mechanistically, sCD155 selectively suppresses DNAM-1-dependent activation of CD8+ T and NK cells, uncoupling ICIs from cytotoxic function. Intriguingly, a selective anti-sCD155 monoclonal antibody does not neutralize the ligand, but rather converts it into an activating scaffold. This complex induces Fc{gamma}R-anchored DNAM-1 microcluster formation and robust downstream signaling, effectively switching the checkpoint into a co-stimulatory signal. This reprogramming restores CTL function, suppresses metastasis, and augments PD-1/TIGIT blockade to achieve durable immunity. Our findings establish antibody-mediated receptor architecture rewiring as a therapeutic principle to overcome cancer immune resistance.

immunology↗

Collagen targeting IL-12 combined with Doxorubicin enhances the anti-tumor effect against osteosarcoma

Osteosarcoma (OS) is the most prevalent primary bone malignancy in children and adolescents; however, therapeutic outcomes remain suboptimal due to tumor heterogeneity, chemoresistance, and inadequate immune activation. Doxorubicin (Dox), the standard therapy that induces immunogenic cell death, has its efficacy compromised by the immunosuppressive tumor microenvironment (TME). While interleukin-12 (IL-12) can activate and recruit various immune cells, making it an attractive combination partner, its systemic delivery is severely limited by dose-limiting toxicity. We have previously reported that intravenous injection of A3 collagen binding domain (CBD) of von Willebrand Factor preferentially accumulates into the TME of various tumor models enriched in collagen I and III. Furthermore, CBD-fused IL-12 (CBD-IL-12) demonstrated superior therapeutic effects against various cancer models compared to unmodified IL-12 due to its collagen-targeted delivery and the resulting tumor-localized inflammation. Given that the OS TME also exhibits higher collagen I and III expression compared to normal bone, we hypothesized that a CBD-IL-12 fusion protein could showcase potent anti-tumor efficacy in OS via tumor-specific accumulation. Here, we demonstrated that CBD-IL-12 exhibited 4-fold enhanced tumor accumulation compared to unmodified IL-12 and increased cytotoxic T cell infiltration by 2.2-fold within the immune-cold microenvironment in a mouse model of OS. The combination of CBD-IL-12 with Dox significantly prolonged median survival in two independent murine OS models. This coordinated approach utilizing Dox coupled with precision-targeted IL-12 immunotherapy represents a clinically translatable strategy that overcomes the inherent limitations of single-agent treatments for OS. HighlightO_LICollagen-targeted IL-12 increases tumor accumulation in osteosarcoma. C_LIO_LIThe collagen-targeted IL-12 synergizes with doxorubicin in osteosarcoma models. C_LIO_LICombination therapy enhances T cell differentiation and activates innate immunity. C_LI

bioengineering↗

Sequentially Self-Assembled Supramolecular Nanocomplexes Enable Systemic Cas9 RNP Delivery and In Vivo Tumor Genome Editing

In vivo genome editing with CRISPR-Cas9 ribonucleoproteins (RNPs) holds substantial therapeutic promise, yet rapid bloodstream clearance and the absence of delivery systems capable of systemic tumor targeting have hindered its clinical translation. Herein, a supramolecular ternary complex platform is reported in which Cas9/sgRNA RNPs are co-assembled with tannic acid (TA) and phenylboronic acid (PBA)-conjugated polymers through sequential self-assembly, producing [~]30 nm core-shell ternary complexes that protect RNPs from enzymatic degradation and dissociate selectively at endosomal pH. Upon intravenous administration in subcutaneous tumor-bearing mice, these ternary complexes exhibit prolonged blood circulation and preferential tumor accumulation, achieving 37.2% gene editing at tumor sites compared with only 1.5% for free RNPs. The platform successfully knocks out previously undruggable oncogenes including mutant KRAS and polo-like kinase 1 (PLK1), markedly suppressing tumor growth in vivo. By integrating sequential supramolecular self-assembly with stimuli-responsive cargo release, this strategy establishes a generalizable framework for systemically administered in vivo CRISPR therapeutics.

bioengineering↗

Collagen-binding IL-12 expressing STEAP1 CAR-T cells reduce toxicity and eradicate mouse prostate cancer in combination with checkpoint inhibitors

Immunosuppressive microenvironments, the lack of immune infiltration, and antigen heterogeneity pose significant challenges for chimeric antigen receptor (CAR)-T cell therapies to tackle solid tumors. CAR-T cells were armed with immunostimulatory payloads, such as interleukin-12 (IL-12), to overcome this issue, but faced intolerable toxicity during clinical development. Here, we show that collagen-binding domain-fused IL-12 (CBD-IL-12) was retained within syngeneic murine prostate tumors, after secretion from CAR-T cells targeting human six transmembrane epithelial antigen of the prostate 1 (STEAP1). This led to equivalently high intratumoral interferon-{gamma} levels without hepatotoxicity and infiltration of T cells into non-target organs, compared with unmodified IL-12. Both innate and adaptive immune compartments were dramatically activated and recognized diverse tumor antigens after CBD-IL-12 CAR-T cell treatment. Combination immunotherapy of CBD-IL-12 CAR-T cells and immune checkpoint inhibitors eradicated large tumors in an established prostate cancer model, without pre-conditioning chemotherapy. The therapy generated anti-tumor immunological memory. CBD-fusion to potent yet toxic payloads of CAR-T therapy may remove obstacles to their clinical translation towards elimination of solid tumors.

bioengineering↗

Mapping single-cell rheology of ascidian embryos in the cleavage stages using AFM

During early embryo development, cell division is highly organized and synchronized. Understanding the mechanical properties of embryonic cells as a material is crucial for elucidating the physical mechanism underlying embryogenesis. Previous atomic force microscopy (AFM) studies on developing embryos revealed that single cells of ascidian embryos in the cleavage stage stiffened and softened during cell division. However, how embryonic cells, as a compliant material, exhibit viscoelastic properties during the cell cycle remains poorly characterized. In this study, we investigated the rheological properties of embryonic cells in the animal hemisphere in the cleavage stages using stress-relaxation AFM and approach-retraction force curve AFM techniques. The AFM measurements revealed that developing single cells followed a power-law rheology observed in single-cell rheology in vitro. The embryonic cells increased the modulus (stiffness) and decreased the fluidity (the power-law exponent) towards cell division. We found three rheological states in developing embryos during the cell cycle. The correlation between the cell modulus and the fluidity during the cell cycle was collapsed onto a master curve with a negative correlation, indicating that embryonic cells tightly interacting with the neighboring cells conserved the universality of rheological behavior observed in single cells in vitro. SIGNIFICANCEUnderstanding the rheological properties of embryonic cells is crucial to elucidate the origin and mechanism of the functional and morphological changes in cells during embryogenesis. AFM-based microrheology revealed that single cells of ascidian embryos in the animal hemisphere in the cleavage stages followed a single power-law rheology, which has no characteristic time scale. Furthermore, the rheological parameters, such as cell stiffness and fluidity, were collapsed onto a master curve with a negative correlation during the cell cycle. These rheological behaviors are similar to those observed in single cells in vitro, indicating that the embryonic cells tightly interacting with each other conserved the intrinsic rheological behaviors of isolated single cells.

cell biology↗

Regulatory Changes in the Fatty Acid Elongase eloF Underlie the Evolution of Sex-specific Pheromone Profiles in Drosophila prolongata

Pheromones play a key role in regulating sexual behavior throughout the animal kingdom. In Drosophila and other insects, many cuticular hydrocarbons (CHCs) are sexually dimorphic, and some are known to perform pheromonal functions. However, the genetic control of sex-specific CHC production is not understood outside of the model species D. melanogaster. A recent evolutionary change is found in D. prolongata, which, compared to its closest relatives, shows greatly increased sexual dimorphism in both CHCs and the chemosensory system responsible for their perception. A key transition involves a male-specific increase in the proportion of long-chain CHCs. Perfuming D. prolongata females with the male-biased CHCs reduces copulation success, suggesting that these compounds function as sex pheromones. The evolutionary change in CHC profiles correlates with a male-specific increase in the expression of multiple genes involved in CHC biosynthesis, including fatty acid elongases and reductases and other key enzymes. In particular, elongase F, which is responsible for producing female-specific pheromones in D. melanogaster, is strongly upregulated in D. prolongata males compared both to females and to males of the sibling species. Induced mutations in eloF reduce the amount of long-chain CHCs, resulting in a partial feminization of pheromone profiles in D. prolongata males while having minimal effect in females. Transgenic experiments show that sex-biased expression of eloF is caused in part by a putative transposable element insertion in its regulatory region. These results reveal one of the genetic mechanisms responsible for a recent evolutionary change in sexual communication.

evolutionary biology↗

Dorsoventral comparison of intraspecific polymorphisms in the butterfly wing pattern using a convolutional neural network

Butterfly wing patterns exhibit notable differences between the dorsal and ventral surfaces, and morphological analyses of them have provided insights into the ecological and behavioural characteristics of wing colour patterns. Conventional methods for dorsoventral comparisons are constrained by the need for homologous patches or shared features between two surfaces, limiting their applicability across species. We used a convolutional neural network (CNN)-based analysis, which can compare images of the dorsal and ventral surfaces without focusing on homologous patches or features, to detect dorsoventral bias in intraspecific polymorphisms such as sexual dimorphism (SD) and female-limited mimetic polymorphism (FMP). Using specimen images of 29 butterfly species from the Yaeyama Islands, Japan, we first showed that the level of SD calculated by CNN-based analysis corresponded well with traditional assessments of SD, demonstrating the validity of the method. Dorsoventral biases were widely detected, particularly in SD, which tended to bias dorsally. This supports the conventional hypothesis that sexual selection acts more strongly on the dorsal surface. In contrast, the FMP analysis showed no significant bias. Our findings highlight CNN-based analysis as a versatile technique for dorsoventral comparisons, suggesting that broader species sampling could reveal general patterns of selection acting differentially on the two surfaces.

bioinformatics↗

Changes in protein dynamical parameters derived from quasi-elastic neutron scattering spectra induced by coherent scattering: A molecular dynamics simulation study

Protein dynamics at the sub-nanosecond timescale and the [A] length-scale has widely been studied using quasi-elastic neutron scattering (QENS). In almost all QENS studies on hydrogenated proteins in D2O buffers, analysis of the spectra after buffer subtraction is carried out under the assumption that the remaining spectra arise from incoherent scattering of proteins while the contribution of coherent scattering is negligible. On the contrary, a study using polarization analysis has shown that the coherent scattering accounts for more than 10% of the total scattering intensity of hydrogenated proteins (Gaspar et al., Biochim. Biophys. Acta 1804:76-82 (2010)). In addition, the effects of coherent scattering on the values of dynamical parameters of proteins obtained by analysis of QENS spectra remain unclear. Here, molecular dynamics (MD) simulation on hen egg white lysozyme was used to investigate this issue. QENS spectra containing only incoherent scattering and those containing both incoherent and coherent scattering were calculated from the MD trajectory. Dynamical parameters were then extracted from the two simulated QENS spectra. Comparison of the resultant dynamical parameters has shown that the error in the values of the dynamical parameters induced by coherent scattering is at most 6%. This error is unlikely to significantly affect the results of QENS studies that investigate the relative changes in protein dynamics caused by different physicochemical conditions such as temperature unless dynamical parameters need to be determined with high precision at the absolute scale.

biophysics↗

Commensal-specific CD4 T cells promote inflammation in the central nervous system via molecular mimicry

Commensal bacteria are critical regulators of both tissue homeostasis and the development and exacerbation of autoimmunity. However, it remains unclear how the intestinal microbiota contributes to inflammation in tissues such as the central nervous system (CNS) where these microbes are typically absent and whether T cell receptor (TCR) specificity for commensal-derived antigens is important to the development of tissue inflammation-related outcomes. Here, we found that ileum- and cecum-colonizing segmented filamentous bacteria (SFB)-specific T cells (clone TCR7B8) can infiltrate the CNS wherein they can be reactivated and produce high levels of inflammatory cytokines including IFN{gamma}, IL-17A, TNF, and GM-CSF in the absence of regulatory T cells. In contrast, other SFB-specific T cells (clone TCR1A2) recognizing an epitope in which 8/9 amino acids overlap with those recognized by TCR7B8 failed to induce such neuroinflammation. Despite their similar SFB-derived peptide antigen targets, TCR7B8 was found to recognize peptides derived from host proteins including receptor tyrosine-protein kinase ErbB2, trophinin 1, and anaphase-promoting complex subunit 2 in vitro, whereas TCR1A2 did not, indicating that TCR7B8 induces CNS inflammation via molecular mimicry. Immune checkpoint blockade accelerated TCR7B8-mediated CNS inflammation, suggesting a potential cause of immune-related adverse events induced in cancer patients undergoing such treatment. Together, our findings reveal a potential mechanism whereby gut commensal-specific T cells are dysregulated and contribute to extraintestinal inflammation.

immunology↗

Effects of heavy water on protein dynamics studied by molecular dynamics simulation: Focusing on dynamical parameters obtained by quasi-elastic neutron scattering

Quasi-elastic neutron scattering (QENS) is a powerful technique to study protein dynamics. In general, QENS measurements are carried out in D2O solvent whereas functional studies of proteins are conducted in H2O solvent. Therefore, to link the QENS studies with the functional studies and then to understand the molecular basis of protein functions in detail, it is important to investigate the effects of solvent isotopic change on dynamical parameters obtained by QENS. For this purpose, in this study, MD simulations were carried out on hen egg white lysozyme, a well-folded and characterized protein, in H2O and in D2O. The dynamical parameters were extracted from the QENS spectra calculated from the MD trajectories. It was found that isotopic effects depend on energy resolutions and that at the energy resolutions that recent QENS studies often employ, the local dynamical behavior of proteins characterized in D2O more or less reflects that in H2O.

biophysics↗

The dynamical Matryoshka model: 3. Diffusive nature of the atomic motions contained in a new dynamical model for deciphering local lipid dynamics

In accompanying papers [Bicout et al., BBA - Biomembr. Submitted; Cisse et al., BBA - Biomembr. Submitted], a new model called Matryoshka model has been proposed to describe the geometry of atomic motions in phospholipid molecules in bilayers and multilamellar vesicles based on their quasielastic neutron scattering (QENS) spectra. Here, in order to characterize the relaxational aspects of this model, the energy widths of the QENS spectra of the samples were analyzed first in a model-free way. The spectra were decomposed into three Lorentzian functions, which are classified as slow, intermediate, and fast motions depending on their widths. The analysis provides the diffusion coefficients, residence times, and geometrical parameters for the three classes of motions. The results corroborate the parameter values such as the amplitudes and the mobile fractions of atomic motions obtained by the application of the Matryoshka model to the same samples. Since the current analysis was carried out independently of the development of the Matryoshka model, the present results enhance the validity of the model. The model will serve as a powerful tool to decipher the dynamics of lipid molecules not only in model systems, but also in more complex systems such as mixtures of different kinds of lipids or natural cell membranes.

biophysics↗

High temperature molecular motions within a model protomembrane architecture

Modern phospholipid membranes are known to be in a functional, physiological state, corresponding to the liquid crystalline phase, only under very precise external conditions. The phase is characterised by specific lipid motions, which seem mandatory to permit sufficient flexibility and stability for the membrane. It can be assumed that similar principles hold for proto-membranes at the origin of life although they were likely composed of simpler, single chain fatty acids and alcohols. In the present study we investigated molecular motions of four types of model membranes to shed light on the variations of dynamics and structure as a function of temperature as protocells might have existed close to hot vents. We find a clear hierarchy among the flexibilities of the samples, where some structural parameters seem to depend on the lipids used while others do not.

biophysics↗

The dynamical Matryoshka model: 2. Modeling of local lipid dynamics at the sub-nanosecond timescale in phospholipid membranes

Biological membranes are generally formed by lipids and proteins. Often, the membrane properties are studied through model membranes formed by phospholipids only. They are molecules composed by a hydrophilic head group and hydrophobic tails, which can present a panoply of various motions, including small localized movements of a few atoms up to the diffusion of the whole lipid or collective motions of many of them. In the past, efforts were made to measure these motions experimentally by incoherent neutron scattering and to quantify them, but with upcoming modern neutron sources and instruments, such models can now be improved. In the present work, we expose a quantitative and exhaustive study of lipid dynamics on DMPC and DMPG membranes, using the Matryoshka model recently developed by our group. The model is confronted here to experimental data collected on two different membrane samples, at three temperatures and two instruments. Despite such complexity, the model describes reliably the data and permits to extract a series of parameters. The results compare also very well to other values found in the literature. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=81 SRC="FIGDIR/small/486370v1_fig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@374f9corg.highwire.dtl.DTLVardef@14ba37eorg.highwire.dtl.DTLVardef@dae67corg.highwire.dtl.DTLVardef@151f721_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 1:C_FLOATNO Graphical abstract. C_FIG Highlights- The Matryoshka model brings a new general description of local lipid dynamics. - Phospholipid membranes on various conditions are compared in this novel framework. - Effects of main phase transition, membrane geometry or motion direction are probed. - Despite high number of parameters, overfitting is avoided by a global fit strategy.

biophysics↗

The dynamical Matryoshka model: 1. Incoherent neutron scattering functions for lipid dynamics in bilayers

Fluid lipid bilayers are the building blocks of biological membranes. Although there is a large amount of experimental data using inconsistent quasi-elastic neutron scattering (QENS) techniques to study membranes, very little theoretical works have been developed to study the local dynamics of membranes. The main objective of this work is to build a theoretical framework to study and describe the local dynamics of lipids and derive analytical expressions of inconsistent diffusion functions (ISF) for QENS. As results, we developed the dynamical Matryoshka model which describes the local dynamics of lipid molecules in membrane layers as a nested hierarchical convolution of three motional processes: (i) individual motions described by the vibrational motions of H-atoms; (ii) internal motions including movements of the lipid backbone, head groups and tails, and (iii) molecule movements of the lipid molecule as a whole. The analytical expressions of the ISF associated with these movements are all derived. For use in analyzing the QENS experimental data, we also derived an analytical expression for the aggregate ISF of the Matryoshka model which involves an elastic term plus three inelastic terms of well-separated time scales and whose amplitudes and rates are functions of the lipid motions. And as an illustrative application, we used the aggregated ISF to analyze the experimental QENS data on a lipid sample of multilamellar bilayers of DMPC (1,2-dimyristoyl-sn-glycero-3-phosphocholine). It is clear from this analysis that the dynamical Matryoshka model describes very well the experimental data and allow extracting the dynamical parameters of the studied system.

biophysics↗

Cross-scale Analysis of Temperature Compensation in the Cyanobacterial Circadian Clock System

Clock proteins maintain constant enzymatic activity regardless of temperature, even though thermal fluctuation is accelerated as temperature increases. We investigated temperature influences on the dynamics of KaiC, a temperature-compensated ATPase in the cyanobacterial circadian clock system, using quasielastic neutron scattering. The frequency of picosecond to sub-nanosecond incoherent local motions in KaiC was accelerated very slightly in a temperature-dependent manner. Our mutation studies revealed that internal motions of KaiC include several contributions of opposing temperature sensitivities. To take advantage of this balancing effect, the motional frequency of local dynamics in KaiC needs to exceed [~]0.3 ps-1. Some of the mutation sites may be in a pathway through which the motional frequency in the C-terminal domain of KaiC is fed back to the active site of ATPase in its N-terminal domain. The temperature-compensating ability at the dynamics level is likely crucial for circadian clock systems, into which the clock proteins are incorporated, to achieve reaction- or even system-level temperature compensation of the oscillation frequency.

biophysics↗

Genetic characteristics of Apodemus speciosus at Akiyoshidai Quasi-National Park in Yamaguchi Prefecture

The large Japanese field mouse (Apodemus speciosus) is a small rodent endemic to Japan. The mice have a genetic characteristic in which the number of chromosomes differs between those from western Japan and those from eastern Japan. A. spesiosus, found throughout Japan, is used as a model animal for geogenetics and monitoring of radiation effects of wildlife. In this present study, to elucidate the genetic characteristics of the mice Akiyoshidai Quasi-National Park in Yamaguchi Prefecture, we investigated mitochondrial DNA and chromosome numbers. As a result, A. speciosus from Yamaguchi Prefecture were classified into the Honshu-Shikoku-Kyushu group and had a western Japan-type chromosome set of 2n=46; however, some Yamaguchi Prefecture mice formed a genetic cluster in Yamaguchi Prefecture, suggesting that continuous monitoring is needed to reveal the dynamics of genetic diversity.

genetics↗

Thiazoline-related TRPA1 agonist odorants orchestrate survival fate in mice

Therapeutic hypothermia protects the brain after cardiopulmonary arrest. Innate fear has evolved to orchestrate protective effects in life-threatening situations. Thus, strong fear perception may induce a specialized life-protective metabolism based on hypothermia/hypometabolism; however, such phenomena and their inducers are yet to be elucidated. Here, we report that thiazoline-related fear odors (tFOs), which are TRPA1 agonists and induce robust innate fear in mice, induced hibernation-like systemic hypothermia/hypometabolism, accelerated glucose uptake in the brain, and suppressed aerobic metabolism via phosphorylation of pyruvate dehydrogenase, thereby enabling long-term survival in a lethal hypoxic environment. In contrast to hibernation, during which immune functions are generally suppressed, tFO-stimulation induced a crisis-response immune state characterized by potentiated innate immune functions but suppressed inflammation with anti-hypoxic ability. Collectively, these responses exerted potent therapeutic effects in cutaneous and cerebral ischemia/reperfusion injury models. Whole brain mapping and chemogenetic activation revealed that sensory representation of tFOs orchestrate survival fate via brain stem Sp5/NST to midbrain PBN pathway. TFO-induced strong crisis perception maximizes latent life-protective effects by shifting metabolism to a crisis response mode characterized by hypothermia, hypometabolism and crisis immunity.

physiology↗