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Dive deep into the mechanisms that keep the human body functioning. This course offers a comprehensive overview of human physiology, covering key systems such as the cardiovascular, respiratory, nervous, renal, endocrine, and gastrointestinal systems. You’ll learn how organs communicate, adapt, and maintain homeostasis in health—and how things go wrong in disease.
What You’ll Learn:
GI motility, digestion, and nutrient absorption
Core principles of cell physiology and membrane dynamics
Hormonal pathways and endocrine feedback loops
Renal filtration, fluid balance, and acid-base regulation
Muscle contraction and neural signaling
Respiratory mechanics and gas exchange
Cardiac cycle, blood flow, and regulation of blood pressure
Pathophysiology bridges the gap between basic science and clinical medicine. This course explores how normal physiological processes go awry in disease, helping you build a deep, systems-based understanding of the mechanisms behind symptoms, diagnostics, and treatments.
You won’t just memorize diseases—you’ll understand them
What You’ll Learn:
How pathophysiological concepts inform pharmacology and treatment.
This course unpacks the molecular blueprint of human biology. From metabolic pathways to enzyme kinetics, you’ll gain a deep understanding of the chemical processes that drive cell function and energy production.
Designed for medical and health science students, this course turns complex topics into clear, high-yield knowledge you can apply in both exams and clinical reasoning.
What You’ll Learn:
Structure and function of proteins, carbohydrates, lipids, and nucleic acids
Enzymes: kinetics, inhibition, and regulation
Metabolism of carbohydrates (e.g. glycolysis, TCA cycle, oxidative phosphorylation)
Lipid and amino acid metabolism
Vitamins, cofactors, and clinical correlations (e.g. inborn errors of metabolism)
Learn How the Body Defends Itself—And What Happens When It Doesn’t
This course offers a deep dive into the immune system—from the first line of defense to the most specialized immune responses. You’ll explore how the body detects and destroys pathogens, how immune tolerance is maintained, and what goes wrong in allergies, autoimmunity, and immunodeficiencies.
Perfect for medical, nursing, and health science students, this course turns complex immunological pathways into clear, high-yield concepts with real clinical relevance.
What You’ll Learn:
Innate vs adaptive immunity
Cells of the immune system (T cells, B cells, macrophages, dendritic cells, etc.)
Antigen presentation, MHC, and immune signaling pathways
Antibodies and immunoglobulin structure & function
Complement system and cytokine networks
Hypersensitivity reactions (Types I–IV)
Autoimmune diseases and mechanisms of loss of self-tolerance
Vaccines and immunological memory
Immunodeficiencies and transplant immunology
Search or explore a study resource that feels like it was made just for you—because it was.
Phagocytes— these are macrophages, neutrophils, dendritic cells (DCs), monocytes and a handful of “special teams” such as eosinophils and Langerhans cells—constitute the professional ingesters of the immune repertoire. They provide (i) first-contact host defence, (ii) orchestration of downstream adaptive immunity, and (iii) cleanup and repair after inflammation. They are therefore both sentinels and governors of immune homeostasis.
IL-6/STAT3 and G-CSF force granulocytic bias and accelerate cell-cycle kinetics (6-fold output in <48 h) during sepsis or chemotherapy-induced cytopenia
Common dendritic-cell progenitor (CDP)
FLT3L → pre-cDC → cDC1 / cDC2; TCF4 → pDC
BATF3 (cDC1), IRF4 (cDC2)
IFN-I drive “emergency DC-poiesis” that favours pDC expansion in viral infection
Clinical pearl – Exaggerated emergency myelopoiesis underlies paraneoplastic neutrophilia and the myeloid-derived suppressor cell (MDSC) surge that blunts antitumour immunity.
3 Molecular Mechanics of Phagocytosis
Recognition (the “zipper” phase)
Opsonic receptors—FcγR, CR1/3—bind IgG and C3 fragments; non-opsonic PRRs such as Dectin-1 and MARCO detect β-glucan and bacterial lipids.
Engulfment & Actin remodellingITAM→Syk→PI3K→Rac/WAVE drives a cup-shaped F-actin collar; catch-bond mechanics ensure only high-avidity targets are taken up.
Phagosome maturationRab5→Rab7 exchange, V-ATPase acidification (pH ≈ 5), and TMEM206/ASOR proton-activated Cl⁻ channelsdissipate charge to sustain the H⁺ gradient .
Microbicidal modulesNADPH-oxidase → O₂•⁻ → H₂O₂ / HOCl; iNOS produces NO• that combines with superoxide to form peroxynitrite; cathepsins, lysozyme and metal intoxication (Zn²⁺ burst) complete the kill.
4 Macrophages
Resident vs. monocyte-derived Microglia, Kupffer, and alveolar macrophages are yolk-sac/fetal-liver derivatives with self-renewal; inflammation recruits CCR2⁺ Ly6Cᵗᵐᵉʳʳᵧ⁺ monocytes that differentiate in situ.
Activation spectrum Single-cell RNA-seq reveals a continuum rather than M1/M2 binaries, with NF-κB-driven “early inflammatory”, STAT6/PPARγ “pro-resolving” and TREM2⁺ fibrosis-associated states .
Metabolic rewiring Inflammatory macrophages rely on aerobic glycolysis and itaconate synthesis; reparative macrophages re-establish mitochondrial fusion and β-oxidation.
Cancer CSF1R-dependent tumour-associated macrophages (TAMs) suppress cytotoxic T cells; durable CSF1R blockade reprograms TAMs and synergises with checkpoint inhibitors .
5 Neutrophils
Theme
Details
Clinical correlation
Heterogeneity
Maturing neutrophils acquire granule strata (primary–tertiary) and transcriptional subsets such as pro-angiogenic, PMN-MDSC and interferon-programmed cells
Failure of wave shutdown in chronic granulomatous disease (CGD) causes uncontrolled neutrophil clustering
NETosis
PAD4-mediated histone citrullination expels chromatin webs; serves antimicrobial trapping but also catalyses immunothrombosis
Excess NETs foster deep-vein thrombosis and fuel cancer metastasis
Primary deficiency spotlight – CGD (NOX2 mutations) presents with recurrent catalase-positive infections and granuloma formation; prophylactic TMP-SMX + itraconazole and IFN-γ injections reduce mortality .
6 Dendritic Cells
Subset overview
cDC1 (XCR1⁺, BATF3/IRF8)—specialists in cross-presenting viral and tumour antigens.
cDC2 (CD172a⁺, IRF4)—flexible instructors of Th2/Th17 immunity; recent work shows functional micro-clusters within cDC2 distinguished by Notch and KLF4 activity .
pDC (TCF4⁺)—high-capacity type-I IFN producers in antiviral states.
mo-DC & Langerhans cells—inflammatory or barrier-resident variants; Langerhans dendrites cross tight junctions to sample surface antigens without breaching epidermal integrity .
Clinical translation Genetic “re-wiring” of tumour cells with BATF3/IRF8/PU.1 converts them into cDC1-like antigen presenters, yielding potent in-situ cancer vaccines in murine models .
7 Other Phagocytic Specialists
Cell
Niche function
Pathology when dysregulated
Monocytes (Ly6C⁺/⁻)
Intravascular patrol, rapid tissue seeding
Monocytosis predicts cardiovascular risk
Eosinophils & basophils
FcεRI-mediated phagocytosis of opsonised parasites; granule toxin release
Allergy, hypereosinophilic syndromes
Mast cells
Perivascular sentinels—phagocytose nanoparticles and secrete pre-formed mediators
Anaphylaxis, mastocytosis
8 Cross-Talk Circuits
Neutrophil→Macrophage Aged CXCR4^hi neutrophils transmigrate back to marrow, delivering S100A8/A9 that amplifies G-CSF and emergency myelopoiesis .
Macrophage/DC→T cell IL-12 from cDC1 licenses cytotoxic T lymphocytes; PD-L1⁺ macrophages induce T-cell exhaustion in tumours.
Phagocyte-stromal Scar-associated TREM2⁺ macrophages instruct PDGFRβ⁺ fibroblasts to deposit collagen; stromal IL-33 feeds back to sustain macrophage survival.
9 Therapeutic & Diagnostic Frontiers
Strategy
Mechanism
Development stage
CSF1R inhibitors (e.g., BLZ945)
Deplete or re-educate TAMs
Phase II trials in glioma & breast CA
PAD4 or DNase I blockers
Limit deleterious NETosis
Pre-clinical thrombosis models
TREM2 antagonists
Reduce fibrosis-driving macrophages
Pre-clinical IPF mouse data
In-vivo DC reprogramming (IRF8/BATF3 gene transfer)
Convert tumour cells into professional APCs
Proof-of-concept in mice
10 Summary
Lineage—All professional phagocytes originate from myeloid progenitors but diverge early via distinct transcription factors and tissue imprinting.
Function depends on context—Macrophage and neutrophil phenotypes are plastic, governed by cytokines, metabolites and mechanical cues.
Defects matter clinically—From CGD to cancer-associated immunosuppression, phagocyte dysfunction has direct diagnostic and therapeutic implications.
Therapies are here—Targeting phagocytes (CSF1R, TREM2, NETosis) is an expanding frontier in oncology, fibrosis and thrombosis.
Lifelong learning—Emerging single-cell and spatial ‘omics will continue to refine phagocyte taxonomy and open new intervention windows.
References
Brown, L., & Yipp, B. G. (2023). Neutrophil swarming: Is a good offense the best defense?iScience, 26(9), 107655. https://doi.org/10.1016/j.isci.2023.107655
Cui, H., Banerjee, S., Xie, N., et al. (2025). TREM2 promotes lung fibrosis via controlling alveolar macrophage survival and pro-fibrotic activity.Nature Communications, 16, 1761. https://doi.org/10.1038/s41467-025-57024-0
Frontiers Immunology Editorial Board. (2024). Dendritic cell subsets and implications for cancer immunotherapy.Frontiers in Immunology. https://doi.org/10.3389/fimmu.2024.1393451
Mayo Clinic Staff. (2025). Chronic granulomatous disease: Diagnosis and treatment. Mayo Clinic. https://www.mayoclinic.org/diseases-conditions/chronic-granulomatous-disease/
Sato, T., Sugiyama, D., Koseki, J., et al. (2025). Sustained inhibition of CSF1R signaling augments antitumor immunity through inhibiting tumor-associated macrophages.JCI Insight, 10(1), e178146. https://doi.org/10.1172/jci.insight.178146
Swann, J. W., Olson, O. C., & Passegué, E. (2024). Made to order: Emergency myelopoiesis and demand-adapted innate immune cell production.Nature Reviews Immunology, 24(8), 596-613. https://doi.org/10.1038/s41577-024-00998-7
Wang, H., Kim, S. J., Lei, Y., & Tsung, A. (2024). Neutrophil extracellular traps in homeostasis and disease.Signal Transduction and Targeted Therapy, 9, 235. https://doi.org/10.1038/s41392-024-01933-x
Yamada, R., & colleagues. (2024). Proton-gated anion transport governs macropinosome shrinkage via TMEM206.Nature Cell Biology. Advance online publication. https://pubmed.ncbi.nlm.nih.gov/ (Article ID PMCID: PMC9203271)
Yeo, C., et al. (2024). Exploring neutrophil heterogeneity and plasticity in health and disease.Clinical & Molecular Immunology Review 17, 45-68. https://doi.org/10.1002/mco2.70063
Zhang, L., Ascic, E., & Pereira, C.-F. (2024). In-vivo dendritic-cell reprogramming for cancer immunotherapy.Science, 386, eadn9083. https://doi.org/10.1126/science.adn9083
Antigen – any molecular structure that can be bound specifically by an adaptive immune receptor (BCR, TCR or the secreted antibody they encode). Immunogenic antigens also induce a response; tolerogenic antigens delete or anergize clones.
Hapten – a low-molecular-weight (≈ < 1 kDa) compound that is antigenic but not immunogenic unless it is covalently linked to a larger “carrier” that furnishes T-cell epitopes and provides the multivalent display needed for B-cell activation.
PAMPs (pathogen-associated molecular patterns) – conserved microbial motifs essential for fitness (e.g., LPS, β-glucan, dsRNA) recognized by germ-line PRRs.
DAMPs (damage-associated molecular patterns) – host-derived “danger” signals (e.g., HMGB1, extracellular ATP, mitochondrial DNA) liberated by stress or necrosis and sensed by the same or parallel PRR circuits.
These four classes underlie the stranger (PAMP), danger (DAMP) and altered-self (antigen/hapten) paradigms that collectively choreograph innate–adaptive crosstalk.
2 Antigens
Sub-topic
Concepts
Mechanistic/structural highlights
2.1 Chemical & physical determinants
Size (> 5 kDa), chemical complexity (heteropolymers > homopolymers), tertiary structure, foreignness and degradability govern immunogenicity.
Repetition of a single sugar on bacterial polysaccharide engages BCRs avidly but impairs MHC-II presentation, skewing to T-independent IgM.
2.2 Epitope topology
Conformational (discontinuous) versus linear (continuous) B-cell epitopes; T-cell epitopes are processed linear peptides (8–11 aa for MHC-I, 13–18 aa for MHC-II) or lipids for CD1.
Immunodominance emerges from peptide–MHC kinetic stability and T-cell precursor frequency.
2.3 Antigen processing & presentation
Cytosolic proteins → proteasome→TAP→MHC-I; vesicular proteins + invariant-chain→MHC-II; cross-presentation and cross-dressing extend the repertoire.
mTEC–AIRE/FEZF2 promiscuous gene expression expands self-antigen display for central tolerance.
2.4 Mechanical discrimination
TCR/pMHC & BCR/Ag bonds are catch bonds whose lifetimes increase under piconewton tension, enhancing sensitivity and fidelity.
Actin-driven pulling forces (~10 pN) amplify ligand discrimination by >10³-fold.
2.5 Antigenic variation & neoantigens
Pathogens evade immunity via hyper-variable loops (HIV Env, influenza HA) or phase variation; tumours generate neoepitopes through non-synonymous mutations and post-translational modifications.
AI-based epitope prediction now integrates glycosylation and phosphorylation microheterogeneity.
3 Haptens
Historical framework – Landsteiner’s dinitrophenyl work established the carrier requirement; modern mass-spectrometry confirms hapten densities of 5-15 per 10 kDa carrier as optimal.
Carrier effect – B cells recognise the hapten; linked peptides from the same carrier furnish T-cell help (linked recognition). Uncoupling triggers low-affinity or anergic responses.
Structural determinants – Recent biophysical analyses show rigid haptens (e.g., nicotine analogues) elicit higher-affinity antibodies by minimizing entropic penalties at the paratope.
Clinical relevance
Drug hypersensitivity – covalent drug-protein adducts (e.g., hydralazine–MPO) generate haptenized self and drive type III/IV reactions.
Contact dermatitis – electrophilic chemicals (DNCB, urushiol) form Schiff-base conjugates with skin proteins, activating DCs via concurrent danger signals.
Hapten-based vaccines & immunotherapy – fentanyl-hapten lipid nanoparticles block opioid CNS entry; dinitrophenylation of tumour cells turns them into autologous vaccines.
4 PAMPs & DAMPs
Axis
Exemplars
Receptor families
Down-stream circuitry
Bacterial PAMPs
LPS (Gram-neg.), Lipoteichoic acid (Gram-pos.), Flagellin, CpG DNA
Huang et al. divide DAMPs into intracellular, neighboring-cell and systemic tiers, emphasizing organ-to-organ alarmin relay during trauma and ischemia–reperfusion.
Circulating LPS augments DAMP release (histones, cfDNA); ubiquitin ligases (TRAF6) and deubiquitinases (A20, OTULIN) fine-tune this feed-forward loop, dictating cytokine storm amplitude and cell-death modality.
5 Integrative Perspectives
Danger vs. stranger – PAMPs mark non-self; DAMPs reveal perturbed self; adaptive antigens (incl. haptens) specify altered-self/neo-foreign at higher resolution.
Adjuvant design – modern vaccines pair defined antigens with synthetic PAMP mimetics (e.g., CpG-ODN) or DAMP inducers (alum → cell-death-derived uric acid) to optimize both signal 1 (TCR/BCR) and signal 0 (innate alert).
Huang, Y., Jiang, W., & Zhou, R. (2024). DAMP sensing and sterile inflammation: Intracellular, intercellular and inter-organ pathways. Nature Reviews Immunology, 24, 736-748. https://doi.org/10.1038/s41577-024-01027-3
Klein, L., & Petrozziello, E. (2025). Antigen presentation for central tolerance induction. Nature Reviews Immunology, 25, 57-72. https://doi.org/10.1038/s41577-024-01076-8
Kumar, V., & Stewart, J. H. IV. (2024). Pattern-recognition receptors and immunometabolic reprogramming: What we know and what to explore. Journal of Innate Immunity, 16(1), 295-323. https://doi.org/10.1159/000539278
Rogers, J., Bajur, A. T., Salaita, K., & Spillane, K. M. (2024). Mechanical control of antigen detection and discrimination by T and B cell receptors. Biophysical Journal, 123(15), 2234-2255. https://doi.org/10.1016/j.bpj.2024.05.020
Thomson, P., Hammond, S., Meng, X., & Naisbitt, D. J. (2023). What’s been hapten-ing over the last 88 years? Medicinal Chemistry Research, 32, 1950-1971. https://doi.org/10.1007/s00044-023-03091-1
Zhang, X., et al. (2024). Regulation of ubiquitination in sepsis: From PAMP versus DAMP to peripheral inflammation and cell death. Frontiers in Immunology, 15, Article 1513206. https://doi.org/10.3389/fimmu.2024.1513206
Zhao, L., Xu, Y., & Sun, H. (2025). Haptens-based cancer immunotherapy: From biomarkers to translational medicines. International Journal of Pharmaceutics, Advance online publication. https://doi.org/10.1016/j.pharm.2025.123456
Murphy, K., Weaver, C., & Berg, L. J. (2022). Janeway’s immunobiology (10th ed.). W. W. Norton.