python3 -c " import pdfplumber files = [ '/home/daytona/workspace/attachments/ec02a9f2-dd28-46b3-8b52-90795807c681/ji2014.pdf', '/home/daytona/workspace/attachments/ec02a9f2-dd28-46b3-8b52-90795807c681/Bacterial invasion of epithelial cells and spreading in periodontal tissue - PMC.pdf' ] for f in files: print(f'=== FILE: {f} ===') with pdfplumber.open(f) as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text[:3000]) print() " 2>&1 | head -300

python3 -c " import pdfplumber # Extract ALL text from both files files = [ ('/home/daytona/workspace/attachments/ec02a9f2-dd28-46b3-8b52-90795807c681/ji2014.pdf', 'ji2014'), ('/home/daytona/workspace/attachments/ec02a9f2-dd28-46b3-8b52-90795807c681/Bacterial invasion of epithelial cells and spreading in periodontal tissue - PMC.pdf', 'pmc') ] for fpath, name in files: with pdfplumber.open(fpath) as pdf: all_text = '' for page in pdf.pages: t = page.extract_text() if t: all_text += t + '\n' with open(f'/home/daytona/workspace/{name}_full.txt', 'w') as out: out.write(all_text) print(f'{name}: {len(all_text)} chars, {len(pdf.pages)} pages') " 2>&1

mkdir -p /home/daytona/workspace/perio-long-note && python3 << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as mpatches from matplotlib.patches import FancyBboxPatch, FancyArrowPatch import numpy as np # ───────────────────────────────────────────────────────── # FIGURE 1 – Pathogenesis Overview Flowchart # ───────────────────────────────────────────────────────── fig, ax = plt.subplots(figsize=(14, 20)) ax.set_xlim(0, 14) ax.set_ylim(0, 20) ax.axis('off') ax.set_facecolor('#f8f9fa') fig.patch.set_facecolor('#f8f9fa') def box(ax, x, y, w, h, text, color='#1a5276', textcolor='white', fontsize=10, style='round,pad=0.1'): fancy = FancyBboxPatch((x - w/2, y - h/2), w, h, boxstyle=style, linewidth=1.5, edgecolor='#2c3e50', facecolor=color, zorder=3) ax.add_patch(fancy) ax.text(x, y, text, ha='center', va='center', fontsize=fontsize, color=textcolor, fontweight='bold', wrap=True, multialignment='center', zorder=4) def arrow(ax, x1, y1, x2, y2, color='#2c3e50'): ax.annotate('', xy=(x2, y2), xytext=(x1, y1), arrowprops=dict(arrowstyle='->', color=color, lw=2), zorder=5) # Title ax.text(7, 19.4, 'PATHOGENESIS OF PERIODONTITIS\n(Bacterial Invasion & Persistence Model)', ha='center', va='center', fontsize=13, fontweight='bold', color='#1a2d5a') # Stage boxes stages = [ (7, 18.0, 11, 0.8, 'PLAQUE BIOFILM ACCUMULATION\n(Poor oral hygiene → preferential increase of periodontal pathogens)', '#1a5276'), (7, 16.6, 11, 0.8, 'COLONIZATION SEQUENCE\nEarly (Streptococci) → Bridging (F. nucleatum) → Late (P. gingivalis, T. forsythia, T. denticola)', '#1f618d'), (7, 15.2, 11, 0.8, 'KEYSTONE PATHOGEN EFFECT (P. gingivalis)\nDisrupts host surveillance → dysbiosis → total bacterial load ↑', '#2874a6'), (7, 13.8, 11, 0.8, 'BREACH OF EPITHELIAL BARRIERS\nPhysical (proteases degrade E-cadherin, ZO-1, occludin)\nChemical (LL-37 resistance) | Immunological (neutrophil evasion)', '#2e86c1'), (7, 12.4, 11, 0.8, 'BACTERIAL INVASION INTO GINGIVAL EPITHELIUM\nTranscellular route (clathrin-mediated endocytosis, integrin signalling)\nParacellular route (tight junction disruption)', '#2980b9'), (7, 11.0, 11, 0.8, 'INTRACELLULAR SURVIVAL & TRAFFICKING\nP. gingivalis: ER network → avoids lysosomal degradation\nClp serine protease → adaptation to intracellular life', '#5dade2'), (7, 9.6, 11, 0.8, 'SPREADING BEYOND EPITHELIUM\nBacterial spread to adjacent cells via actin projections\nPenetration of basement membrane → connective tissue invasion', '#85c1e9'), (7, 8.2, 11, 0.8, 'INNATE IMMUNE SUBVERSION\nSuppression of IL-8 / IL-12 | Localized chemokine paralysis\nC5aR/CR3 crosstalk → impaired neutrophil recruitment', '#aed6f1'), (7, 6.8, 11, 0.8, 'ADAPTIVE IMMUNE RESPONSE (SKEWED)\nTh1/Th2 imbalance → Th2 dominance → B cell / plasma cell infiltrate\nTh17 ↑ → IL-17 → RANKL ↑ → osteoclastogenesis', '#1a5276'), (7, 5.4, 11, 0.8, 'CHRONIC INFLAMMATION & TISSUE DESTRUCTION\nPersistent intracellular reservoir → continuous antigen presentation\nTNF-α, IL-1β, MMPs, ROS → collagen destruction, bone resorption', '#922b21'), (7, 4.0, 11, 0.8, 'ALVEOLAR BONE LOSS\n(PERIODONTITIS LESION)', '#7b241c'), ] for (x, y, w, h, text, color) in stages: box(ax, x, y, w, h, text, color=color, fontsize=8.5) for i in range(len(stages)-1): x1, y1 = stages[i][0], stages[i][1] - stages[i][3]/2 x2, y2 = stages[i+1][0], stages[i+1][1] + stages[i+1][3]/2 arrow(ax, x1, y1, x2, y2) # Risk factors side box box(ax, 7, 2.4, 11, 1.0, 'RISK FACTORS AMPLIFYING BACTERIAL INVASION\nSmoking (↓ AMP, ↑ cell stiffness) | Alcohol (↓ barrier integrity)\nNeutropenia / Kostmann / Chédiak-Higashi / Papillon-Lefèvre\nGenetic: β2-integrin mutation | HLA associations', color='#6e2f1a', fontsize=8.5) arrow(ax, 7, 2.9, 7, 3.6) plt.tight_layout() plt.savefig('/home/daytona/workspace/perio-long-note/fig1_pathogenesis_flowchart.png', dpi=180, bbox_inches='tight') plt.close() print("Fig 1 saved") PYEOF

python3 << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as mpatches from matplotlib.patches import FancyBboxPatch # ───────────────────────────────────────────────────────── # FIGURE 2 – Invasion Mechanism of P. gingivalis # ───────────────────────────────────────────────────────── fig, ax = plt.subplots(figsize=(16, 10)) ax.set_xlim(0, 16) ax.set_ylim(0, 10) ax.axis('off') ax.set_facecolor('#eaf4fb') fig.patch.set_facecolor('#eaf4fb') def box(ax, x, y, w, h, text, color='#1a5276', textcolor='white', fontsize=9): fancy = FancyBboxPatch((x - w/2, y - h/2), w, h, boxstyle='round,pad=0.15', linewidth=1.5, edgecolor='#1b2631', facecolor=color, zorder=3) ax.add_patch(fancy) ax.text(x, y, text, ha='center', va='center', fontsize=fontsize, color=textcolor, fontweight='bold', multialignment='center', zorder=4) def arr(ax, x1, y1, x2, y2, label='', color='#2c3e50'): ax.annotate('', xy=(x2, y2), xytext=(x1, y1), arrowprops=dict(arrowstyle='->', color=color, lw=2), zorder=5) if label: mx, my = (x1+x2)/2, (y1+y2)/2 ax.text(mx+0.1, my, label, fontsize=7.5, color=color, fontstyle='italic', zorder=6) ax.text(8, 9.6, 'INVASION MECHANISM OF P. gingivalis INTO GINGIVAL EPITHELIAL CELLS', ha='center', va='center', fontsize=12, fontweight='bold', color='#1a2d5a') # Column headers ax.text(2.5, 9.0, 'STEP 1\nADHERENCE', ha='center', fontsize=9, color='#154360', fontweight='bold') ax.text(6.5, 9.0, 'STEP 2\nSIGNALLING', ha='center', fontsize=9, color='#154360', fontweight='bold') ax.text(10.5, 9.0, 'STEP 3\nINTERNALIZATION', ha='center', fontsize=9, color='#154360', fontweight='bold') ax.text(14.0, 9.0, 'STEP 4\nSURVIVAL', ha='center', fontsize=9, color='#154360', fontweight='bold') # Step 1 box(ax, 2.5, 8.0, 4.2, 0.7, 'FimA (Major Fimbriae) binds\nα5β1 Integrin on epithelial cell', '#1a5276') box(ax, 2.5, 6.8, 4.2, 0.7, 'Gingipains (RgpA, RgpB, Kgp)\nmodify matrix proteins;\nreveal cryptitopes', '#1f618d') box(ax, 2.5, 5.6, 4.2, 0.7, 'ICAM-1 binding (alternative\nadhesion pathway)', '#2874a6') # Step 2 box(ax, 6.5, 8.0, 3.5, 0.7, 'FAK & Paxillin recruited\nto cytoplasmic membrane', '#117a65') box(ax, 6.5, 6.8, 3.5, 0.7, 'Rho-family GTPases\nactivated (Rac1, Cdc42)', '#148f77') box(ax, 6.5, 5.6, 3.5, 0.7, 'PI3K & PKC activation\n→ actin remodelling', '#1abc9c') # Step 3 box(ax, 10.5, 8.0, 3.5, 0.7, 'Clathrin-mediated\nendocytosis', '#6e2f8a') box(ax, 10.5, 6.8, 3.5, 0.7, 'Lipid raft components\nrecruited → uptake', '#8e44ad') box(ax, 10.5, 5.6, 3.5, 0.7, 'Actin/microtubule\nremodelling drives\ninternalization', '#9b59b6') # Step 4 box(ax, 14.0, 8.0, 3.0, 0.7, 'Associates with ER\n(avoids lysosomes)', '#922b21') box(ax, 14.0, 6.8, 3.0, 0.7, 'Clp serine protease\n→ intracellular adaptation', '#cb4335') box(ax, 14.0, 5.6, 3.0, 0.7, 'Spreads to adjacent cells\nvia actin projections', '#e74c3c') # Arrows between steps (horizontal) for y in [8.0, 6.8, 5.6]: arr(ax, 4.65, y, 4.75, y) arr(ax, 8.25, y, 8.75, y) arr(ax, 12.25, y, 12.5, y) # Vertical arrows within each column for col_x in [2.5, 6.5, 10.5, 14.0]: arr(ax, col_x, 7.65, col_x, 7.35) arr(ax, col_x, 6.45, col_x, 6.15) # Fate box box(ax, 8, 4.0, 10, 1.1, 'INTRACELLULAR FATE OF PERIODONTAL PATHOGENS\n' 'P. gingivalis → ER compartment → SURVIVES (avoids lysosomal killing) → spreads to neighbours\n' 'F. nucleatum → Lysosome fusion → DEGRADED within epithelial cells\n' 'T. denticola → Can survive; chymotrypsin-like protease degrades basement membrane', color='#1b2631', fontsize=8.5) ax.text(8, 3.0, '↓ Continuous intracellular reservoir ↓ Chronic antigen stimulation ↓ Tissue inflammation', ha='center', fontsize=9, color='#922b21', fontweight='bold') plt.tight_layout() plt.savefig('/home/daytona/workspace/perio-long-note/fig2_invasion_mechanism.png', dpi=180, bbox_inches='tight') plt.close() print("Fig 2 saved") PYEOF

python3 << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.patches import FancyBboxPatch # ───────────────────────────────────────────────────────── # FIGURE 3 – Routes of Bacterial Invasion & Spreading # ───────────────────────────────────────────────────────── fig, ax = plt.subplots(figsize=(16, 12)) ax.set_xlim(0, 16) ax.set_ylim(0, 12) ax.axis('off') ax.set_facecolor('#f0f3f4') fig.patch.set_facecolor('#f0f3f4') def box(ax, x, y, w, h, text, color='#1a5276', textcolor='white', fontsize=9): fancy = FancyBboxPatch((x-w/2, y-h/2), w, h, boxstyle='round,pad=0.12', lw=1.5, edgecolor='#2c3e50', facecolor=color, zorder=3) ax.add_patch(fancy) ax.text(x, y, text, ha='center', va='center', fontsize=fontsize, color=textcolor, fontweight='bold', multialignment='center', zorder=4) def arr(ax, x1,y1,x2,y2, label='', c='#2c3e50', lw=2): ax.annotate('', xy=(x2,y2), xytext=(x1,y1), arrowprops=dict(arrowstyle='->', color=c, lw=lw), zorder=5) if label: ax.text((x1+x2)/2+0.05, (y1+y2)/2+0.1, label, fontsize=7.5, color=c, fontstyle='italic', zorder=6) ax.text(8, 11.6, 'ROUTES OF BACTERIAL INVASION & SPREADING IN PERIODONTAL TISSUE\n(Ji et al. 2014 | Tribble & Lamont 2010)', ha='center', fontsize=11.5, fontweight='bold', color='#1a2d5a') # Subgingival sulcus box(ax, 8, 10.5, 14, 0.7, 'SUBGINGIVAL PLAQUE BIOFILM (Sulcular environment)', '#2471a3') # Two routes box(ax, 3.5, 9.2, 5.5, 0.8, 'ROUTE 1: TRANSCELLULAR\n(Intracellular invasion)', '#148f77') box(ax, 12.5, 9.2, 5.5, 0.8, 'ROUTE 2: PARACELLULAR\n(Intercellular / tight junction route)', '#a04000') arr(ax, 5.5, 10.15, 3.5, 9.6) arr(ax, 10.5, 10.15, 12.5, 9.6) # Transcellular chain tc = [ (3.5, 8.2, 5.0, 0.7, 'FimA–Integrin α5β1 binding\n+ Gingipain-mediated adhesion', '#1a9c77'), (3.5, 7.1, 5.0, 0.7, 'FAK/Paxillin → Rho GTPase → PI3K\nActin & microtubule remodelling', '#17a589'), (3.5, 6.0, 5.0, 0.7, 'Clathrin-mediated endocytosis\n(Lipid raft recruitment)', '#1abc9c'), (3.5, 4.9, 5.0, 0.7, 'P. gingivalis → ER network\n(Clp protease; avoids lysosomes)', '#76d7c4'), (3.5, 3.8, 5.0, 0.7, 'Cell-to-cell spreading via\nactin filament projections', '#a9dfbf'), ] for (x,y,w,h,t,c) in tc: box(ax, x, y, w, h, t, c) for i in range(len(tc)-1): arr(ax, tc[i][0], tc[i][1]-0.35, tc[i+1][0], tc[i+1][1]+0.35, c='#148f77') # Paracellular chain pc = [ (12.5, 8.2, 5.5, 0.7, 'P. gingivalis / T. denticola proteases\nDegrade ZO-1, E-cadherin, occludin', '#a04000'), (12.5, 7.1, 5.5, 0.7, 'Tight junction disruption\n(ZO-1, JAM-A, Occludin degraded)', '#ca6f1e'), (12.5, 6.0, 5.5, 0.7, 'Bacteria migrate through\nintercellular spaces', '#e59866'), (12.5, 4.9, 5.5, 0.7, 'T. denticola chymotrypsin-like protease\ndegrades type IV collagen, laminin, fibronectin', '#f0b27a'), (12.5, 3.8, 5.5, 0.7, 'Basement membrane penetration\n→ Connective tissue access', '#fad7a0'), ] for (x,y,w,h,t,c) in pc: box(ax, x, y, w, h, t, c) for i in range(len(pc)-1): arr(ax, pc[i][0], pc[i][1]-0.35, pc[i+1][0], pc[i+1][1]+0.35, c='#a04000') # Common destination box(ax, 8, 2.5, 12, 0.8, 'CONNECTIVE TISSUE INVASION → Alveolar bone proximity\nBacteria detected in lamina propria, gingival fibroblasts, endothelial cells, macrophages', '#1b2631', fontsize=9) arr(ax, 3.5, 3.45, 5.5, 2.9, c='#148f77', lw=2) arr(ax, 12.5, 3.45, 10.5, 2.9, c='#a04000', lw=2) # Note ax.text(8, 1.7, '* P. gingivalis also detected in intravascular macrophages and phagocytic cells\n' '* Polymicrobial intracellular microbiota confirmed in gingival tissue biopsies (streptococci co-detected)', ha='center', fontsize=8, color='#5d6d7e', fontstyle='italic') plt.tight_layout() plt.savefig('/home/daytona/workspace/perio-long-note/fig3_invasion_routes.png', dpi=180, bbox_inches='tight') plt.close() print("Fig 3 saved") PYEOF

python3 << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt from matplotlib.patches import FancyBboxPatch # ───────────────────────────────────────────────────────── # FIGURE 4 – Immune Subversion & Adaptive Response # ───────────────────────────────────────────────────────── fig, ax = plt.subplots(figsize=(16, 10)) ax.set_xlim(0, 16) ax.set_ylim(0, 10) ax.axis('off') ax.set_facecolor('#fdfefe') fig.patch.set_facecolor('#fdfefe') def box(ax, x,y,w,h, text, color, textcolor='white', fs=8.5): p = FancyBboxPatch((x-w/2,y-h/2),w,h, boxstyle='round,pad=0.12', lw=1.5, edgecolor='#2c3e50', facecolor=color, zorder=3) ax.add_patch(p) ax.text(x,y, text, ha='center', va='center', fontsize=fs, color=textcolor, fontweight='bold', multialignment='center', zorder=4) def arr(ax, x1,y1,x2,y2, label='', c='#2c3e50', ls='-'): ax.annotate('', xy=(x2,y2), xytext=(x1,y1), arrowprops=dict(arrowstyle='->', color=c, lw=1.8, linestyle=ls), zorder=5) if label: ax.text((x1+x2)/2+0.08,(y1+y2)/2+0.08, label, fontsize=7, color=c, zorder=6) ax.text(8, 9.6, 'IMMUNE SUBVERSION BY PERIODONTAL PATHOGENS & ADAPTIVE IMMUNE RESPONSE', ha='center', fontsize=11, fontweight='bold', color='#1a2d5a') # Innate immune side ax.text(3.5, 9.0, 'INNATE IMMUNITY – SUBVERSION', ha='center', fontsize=10, fontweight='bold', color='#922b21') box(ax, 3.5, 8.1, 6.0, 0.75, 'P. gingivalis suppresses IL-8 from gingival epithelial cells\n(Localized chemokine paralysis via SerB-mediated NF-κB inhibition)', '#922b21') box(ax, 3.5, 7.1, 6.0, 0.75, 'Gingipains degrade cytokines, chemokines & their receptors\n↓ Neutrophil recruitment | ↓ ICAM-1 expression', '#c0392b') box(ax, 3.5, 6.1, 6.0, 0.75, 'C5aR / CR3 crosstalk → Inhibits TLR2-induced IL-12\nvia ERK1/2 activation\n→ Th1 suppression', '#e74c3c') box(ax, 3.5, 5.1, 6.0, 0.75, 'P. gingivalis LPS: poor inducer of IL-12p70 from dendritic cells\nDoesnt activate CD14 co-receptor on gingival epithelial cells', '#ec7063') box(ax, 3.5, 4.1, 6.0, 0.75, 'Intracellular refuge in macrophages\nCell cycle manipulation to favour bacterial survival', '#f1948a') for y_pair in [(8.1, 7.1),(7.1, 6.1),(6.1, 5.1),(5.1, 4.1)]: arr(ax, 3.5, y_pair[0]-0.375, 3.5, y_pair[1]+0.375, c='#922b21') # Adaptive immune side ax.text(12.5, 9.0, 'ADAPTIVE IMMUNITY – RESPONSE', ha='center', fontsize=10, fontweight='bold', color='#1a5276') box(ax, 12.5, 8.1, 6.0, 0.75, 'IL-12 suppression → Impaired Th1 differentiation\n→ Th2 polarization (antibody-dominant response)', '#1a5276') box(ax, 12.5, 7.1, 6.0, 0.75, 'Th2 dominance → B cell & plasma cell infiltration\n(Characteristic of established periodontal lesions)', '#2471a3') box(ax, 12.5, 6.1, 6.0, 0.75, 'Th17 cells ↑ in periodontal lesions\n→ IL-17 ↑ → RANKL ↑ → Osteoclastogenesis\n→ Alveolar bone destruction', '#2980b9') box(ax, 12.5, 5.1, 6.0, 0.75, 'Treg cells recruited → CCL22\nLimits surrounding tissue damage\nBut may also contribute to pathogen persistence', '#5dade2') box(ax, 12.5, 4.1, 6.0, 0.75, 'Th1/Th2 imbalance → Reduced IFN-γ/IL-4 ratio\nnegatively associated with periodontal destruction', '#85c1e9') for y_pair in [(8.1,7.1),(7.1,6.1),(6.1,5.1),(5.1,4.1)]: arr(ax, 12.5, y_pair[0]-0.375, 12.5, y_pair[1]+0.375, c='#1a5276') # Bridge arrow arr(ax, 6.5, 6.1, 9.5, 6.1, label='Skewed immune response', c='#7d6608') # Final outcome box(ax, 8, 2.8, 14, 0.9, 'CHRONIC INFLAMMATION → TISSUE DESTRUCTION → BONE LOSS\n' 'Periodontal pathogens persist intracellularly → continuous stimulation → cyclic exacerbation', '#17202a', fs=9) arr(ax, 3.5, 3.725, 4.5, 3.25, c='#922b21') arr(ax, 12.5, 3.725, 11.5, 3.25, c='#1a5276') ax.text(8, 1.9, '(Based on Ji et al. J Periodontal Res 2014 | Tribble & Lamont, Periodontol 2000, 2010)', ha='center', fontsize=8, color='#717d7e', fontstyle='italic') plt.tight_layout() plt.savefig('/home/daytona/workspace/perio-long-note/fig4_immune_response.png', dpi=180, bbox_inches='tight') plt.close() print("Fig 4 saved") PYEOF

ls /home/daytona/workspace/perio-long-note/ 2>/dev/null && echo "---" && ls /home/daytona/workspace/*.txt 2>/dev/null

python3 << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib.styles import getSampleStyleSheet, ParagraphStyle from reportlab.lib.units import cm, mm from reportlab.lib import colors from reportlab.platypus import (SimpleDocTemplate, Paragraph, Spacer, Image, Table, TableStyle, PageBreak, HRFlowable, KeepTogether) from reportlab.lib.enums import TA_CENTER, TA_LEFT, TA_JUSTIFY from reportlab.platypus.flowables import KeepInFrame import os OUT = '/home/daytona/workspace/perio-long-note/Bacterial_Invasion_Periodontitis_Long_Note.pdf' IMG_DIR = '/home/daytona/workspace/perio-long-note/' doc = SimpleDocTemplate( OUT, pagesize=A4, rightMargin=2*cm, leftMargin=2*cm, topMargin=2.2*cm, bottomMargin=2.2*cm, title='Bacterial Invasion & Pathogenesis of Periodontitis – PG Long Note' ) W, H = A4 TW = W - 4*cm # text width # ── Styles ────────────────────────────────────────────── styles = getSampleStyleSheet() cover_title = ParagraphStyle('cover_title', fontSize=20, leading=26, alignment=TA_CENTER, textColor=colors.HexColor('#1a2d5a'), fontName='Helvetica-Bold', spaceAfter=8) cover_sub = ParagraphStyle('cover_sub', fontSize=12, leading=16, alignment=TA_CENTER, textColor=colors.HexColor('#2471a3'), fontName='Helvetica', spaceAfter=6) cover_ref = ParagraphStyle('cover_ref', fontSize=9, leading=13, alignment=TA_CENTER, textColor=colors.HexColor('#5d6d7e'), fontName='Helvetica-Oblique', spaceAfter=4) h1 = ParagraphStyle('h1', fontSize=14, leading=18, textColor=colors.HexColor('#1a2d5a'), fontName='Helvetica-Bold', spaceBefore=14, spaceAfter=4, borderPad=4, backColor=colors.HexColor('#d6eaf8'), borderRadius=4, leftIndent=0, rightIndent=0) h2 = ParagraphStyle('h2', fontSize=11.5, leading=15, textColor=colors.HexColor('#154360'), fontName='Helvetica-Bold', spaceBefore=10, spaceAfter=3) h3 = ParagraphStyle('h3', fontSize=10.5, leading=14, textColor=colors.HexColor('#1f618d'), fontName='Helvetica-Bold', spaceBefore=7, spaceAfter=2) body = ParagraphStyle('body', fontSize=9.5, leading=14, alignment=TA_JUSTIFY, fontName='Helvetica', textColor=colors.HexColor('#1c1c1c'), spaceBefore=3, spaceAfter=3) bullet = ParagraphStyle('bullet', fontSize=9.5, leading=14, leftIndent=18, bulletIndent=6, fontName='Helvetica', textColor=colors.HexColor('#1c1c1c'), spaceBefore=1, spaceAfter=1) bold_bullet = ParagraphStyle('bold_bullet', fontSize=9.5, leading=14, leftIndent=18, bulletIndent=6, fontName='Helvetica-Bold', textColor=colors.HexColor('#1c1c1c'), spaceBefore=1, spaceAfter=1) caption = ParagraphStyle('caption', fontSize=8.5, leading=12, alignment=TA_CENTER, fontName='Helvetica-Oblique', textColor=colors.HexColor('#5d6d7e'), spaceAfter=8) note_style = ParagraphStyle('note', fontSize=8.5, leading=12, alignment=TA_CENTER, fontName='Helvetica-Oblique', textColor=colors.HexColor('#7d6608'), spaceBefore=4, spaceAfter=4) def B(t): return f'<b>{t}</b>' def I(t): return f'<i>{t}</i>' def BI(t): return f'<b><i>{t}</i></b>' def p(text, style=body): return Paragraph(text, style) def bp(text): return Paragraph(f'• {text}', bullet) def sp(n=6): return Spacer(1, n) def hr(): return HRFlowable(width='100%', thickness=0.5, color=colors.HexColor('#aed6f1'), spaceAfter=4) def fig(fname, cap, width_pct=0.92): path = os.path.join(IMG_DIR, fname) iw = TW * width_pct return [ sp(6), Image(path, width=iw, height=iw * 0.72, kind='proportional'), p(cap, caption), sp(4), ] # ── Table helper ──────────────────────────────────────── def make_table(headers, rows, col_widths=None): data = [[p(B(h), ParagraphStyle('th', fontSize=8.5, fontName='Helvetica-Bold', textColor=colors.white, alignment=TA_CENTER)) for h in headers]] for row in rows: data.append([p(cell, ParagraphStyle('td', fontSize=8.5, fontName='Helvetica', leading=12, alignment=TA_LEFT)) for cell in row]) if col_widths is None: col_widths = [TW / len(headers)] * len(headers) t = Table(data, colWidths=col_widths, repeatRows=1) style = TableStyle([ ('BACKGROUND', (0,0), (-1,0), colors.HexColor('#1a5276')), ('ROWBACKGROUNDS', (0,1), (-1,-1), [colors.HexColor('#eaf4fb'), colors.HexColor('#fdfefe')]), ('GRID', (0,0), (-1,-1), 0.4, colors.HexColor('#aed6f1')), ('TOPPADDING', (0,0), (-1,-1), 4), ('BOTTOMPADDING', (0,0), (-1,-1), 4), ('LEFTPADDING', (0,0), (-1,-1), 5), ('RIGHTPADDING', (0,0), (-1,-1), 5), ('VALIGN', (0,0), (-1,-1), 'TOP'), ]) t.setStyle(style) return t # ═══════════════════════════════════════════════════════ # BUILD STORY # ═══════════════════════════════════════════════════════ story = [] # ── COVER PAGE ────────────────────────────────────────── story += [ sp(60), p('BACTERIAL INVASION AND ITS ROLE IN THE', cover_title), p('PATHOGENESIS OF PERIODONTAL DISEASE', cover_title), sp(12), p('Post-Graduate Examination — Long Note', cover_sub), sp(8), hr(), sp(8), p(I('Based on:'), cover_ref), p(BI('Ji S, Choi YS, Choi Y.') + I(' Bacterial invasion and persistence: critical events in the pathogenesis of periodontitis? ' 'J Periodontal Res 2014; doi:10.1111/jre.12248'), cover_ref), sp(4), p(BI('Tribble GD, Lamont RJ.') + I(' Bacterial invasion of epithelial cells and spreading in periodontal tissue. ' 'Periodontol 2000. 2010;52(1):68–83. PMID: 20017796'), cover_ref), sp(60), PageBreak(), ] # ── SECTION I: INTRODUCTION ───────────────────────────── story += [ p('INTRODUCTION', h1), sp(4), p('Periodontitis is the chronic inflammation of the periodontium caused by the host\'s ' 'inflammatory response to plaque biofilm, which destroys tooth-supporting soft and hard tissues. ' 'It is a complex disease that involves interactions among three main features — microbial challenge, ' 'the host immune response, and environmental and genetic risk factors — in its pathogenesis.', body), p('Although periodontitis has been regarded as the result of hyperimmune or hyperinflammatory responses ' 'to plaque bacteria, recent studies indicate that periodontal pathogens are rather ' + B('poor activators and/or suppressors') + ' of the host immune response. This raises the question of ' 'how periodontal pathogens cause inflammation.', body), p('To resolve this issue, Ji et al. (2014) proposed that ' + B('bacterial invasion into gingival tissue is a key event in the initiation of periodontitis') + ' and that the persistence of these bacteria within host tissue results in ' + B('chronic inflammation') + '. In support of this hypothesis, the ways in which microbial, environmental and genetic risk ' 'factors contribute to bacterial invasion are presented.', body), sp(4), hr(), ] # ── SECTION II: HOST–MICROBE INTERACTIONS ─────────────── story += [ p('I. HOST–MICROBE INTERACTIONS IN THE GINGIVAL SULCUS', h1), p('A. The Gingival Sulcus as a Unique Anatomic Site', h2), p('The gingival sulcus is a unique anatomic site surrounded by hard tissue (tooth) on one side and ' 'soft tissue (gingival epithelium) on the other. It is bathed in gingival crevicular fluid (GCF) ' 'from the lamina propria, which contains serum components and cells of the immune system, primarily neutrophils. ' 'The resident microbiota of the sulcus is composed of a highly diverse set of bacteria.', body), p('B. Microbial Complexes and Colonization Sequence', h2), p('Based on DNA-DNA hybridization, plaque bacteria are classified into six related complexes — ' + I('yellow, green, violet, orange, red') + ' and ' + I('Actinomyces') + '. The colonization of diverse plaque bacteria occurs in a specific order through cell-to-cell coaggregation:', body), bp(B('Salivary pellicle formation') + ' — Sialylated mucins, proline-rich protein, α-amylase, and salivary agglutinin ' 'form an acquired pellicle on the tooth surface, providing receptors for bacterial adhesins.'), bp(B('Primary colonizers') + ' — ' + I('Streptococcus gordonii, S. mitis, S. oralis,') + ' and ' + I('S. sanguinis') + ' have adhesins that recognize complementary salivary receptors ' 'in the acquired pellicle.'), bp(B('Secondary / Bridging colonizers') + ' — ' + I('Actinomyces naeslundii, Capnocytophaga ochracea, ' 'Eikenella corrodens, Haemophilus parainfluenzae,') + ' and ' + I('Veillonella atypica') + '. These represent the yellow, green, and violet complexes.'), bp(B('Late colonizers (periodontal pathogens)') + ' — ' + I('Porphyromonas gingivalis, Tannerella forsythia,') + ' and ' + I('Treponema denticola') + ' (the red complex triad).'), sp(4), p('C. Keystone Pathogen Concept', h2), p(I('P. gingivalis') + ', at very low colonization levels (< 0.01% of the total microbiota), triggered increases in the number ' 'of total oral bacteria and changes in the composition of the oral commensal microbiota, leading to ' 'inflammatory periodontal bone loss in mice. The term ' + B('"keystone pathogen"') + ' was coined to describe a bacterial species with such a modulating ability. All three periodontal pathogens — ' + I('P. gingivalis, T. forsythia,') + ' and ' + I('T. denticola') + ' — are resistant to LL-37 and phagocytosis by neutrophils.', body), sp(4), hr(), ] # ── SECTION III: FLOWCHART 1 ──────────────────────────── story += [ p('FLOWCHART 1 — OVERALL PATHOGENESIS MODEL OF PERIODONTITIS', h1), ] story += fig('fig1_pathogenesis_flowchart.png', 'Fig. 1: Stepwise pathogenesis of periodontitis from plaque biofilm accumulation ' 'to alveolar bone loss, integrating bacterial invasion and host immune response ' '(Ji et al. 2014).') story += [sp(4), hr()] # ── SECTION IV: INDUCTION OF INFLAMMATORY MEDIATORS ───── story += [ p('II. INDUCTION OF INFLAMMATORY MEDIATORS FROM EPITHELIAL CELLS AND NEUTROPHILS', h1), p('Bacteria in the gingival sulcus interact with gingival epithelial cells and neutrophils. ' 'In contrast to the prevalent concept that periodontal pathogens induce hyperinflammatory responses, ' 'a number of studies have shown that periodontal pathogens induce ' + B('lower levels of inflammatory cytokines and chemokines') + ' than do nonpathogenic bacteria from epithelial cells and neutrophils ' + I('in vitro') + '.', body), bp(I('F. nucleatum') + ' induced IL-6 proteins from KB cells; internalization and maturation of bacteria ' 'is important for TLR9-dependent IL-8 induction.'), bp(I('T. denticola') + ' induced much lower amounts of tissue-destructive molecules such as reactive oxygen ' 'species, MMP-8 and IL-1β from neutrophils than did ' + I('S. sanguinis') + ' and ' + I('F. nucleatum') + '.'), p('This paradox raises the question of why the late-colonizing periodontal pathogens — but not ' + I('F. nucleatum') + ' or early colonizers — cause chronic inflammation in gingival tissues. The answer lies in their ' + B('ability to invade gingival tissue') + '.', body), sp(4), hr(), ] # ── SECTION V: BACTERIAL INVASION ─────────────────────── story += [ p('III. BACTERIAL INVASION', h1), p('Although periodontal pathogens are poor inducers of inflammatory mediators, their ability to invade ' 'gingival tissue may enable them to cause inflammation within the tissue. Periodontal pathogens such as ' + I('P. gingivalis, T. forsythia,') + ' and ' + I('T. denticola') + ' have the ability to invade gingival epithelial cells.', body), p('A. Invasion Mechanisms of Periodontal Pathogens into Epithelial Cells', h2), p('The initial interaction with epithelial cells via bacterial surface ligands causes rearrangement of ' 'the cellular cytoskeleton, which facilitates bacterial entry.', body), p(B(I('P. gingivalis') + ' — Invasion Mechanism:'), h3), bp(B('Major fimbriae (FimA)') + ' are the primary bacterial adhesins. There are at least six alleles of the ' + I('fimA') + ' gene (fimA I, Ib, II, III, IV, and V). Type Ib, II, or IV fimbriae are more commonly ' 'associated with periodontal disease; types I, III, or V are more often found in strains colonizing ' 'healthy patients.'), bp('FimA binds to ' + B('α5β1 integrin') + ' on the gingival epithelial cell surface — ' 'the predominant means of adherence and entry. FimA binding to ICAM-1 can also initiate invasion.'), bp(B('Gingipains') + ' (RgpA, RgpB, and Kgp) — three arginine/lysine-specific proteases — ' 'improve binding by modifying matrix proteins and revealing epithelial surface cryptitopes; ' 'they also structurally facilitate adhesion via hemagglutinin/adhesin domains.'), bp('FimA–integrin interaction recruits ' + B('FAK and paxillin') + ' to the cytoplasmic membrane, ' 'producing a phosphorylation-regulated signaling scaffold that activates ' + B('Rho-family GTPases') + '.'), bp('Subsequent actin and microtubule remodeling, recruitment of lipid raft components, and host-cell ' 'phosphorylation are all required for internalization via ' + B('clathrin-mediated endocytosis') + '. ' 'The ' + B('PI3K') + ' pathway is also required.'), sp(4), p(B(I('T. forsythia') + ' — Invasion Mechanism:'), h3), bp('Invasion is dependent on the ' + B('BspA protein') + ' and requires phosphoinositide 3-kinase ' 'activation and clathrin-mediated endocytosis.'), sp(4), p(B(I('T. denticola') + ' — Invasion Mechanism:'), h3), bp('The invasion mechanism of ' + I('T. denticola') + ' is not fully known.'), sp(4), ] # ── SECTION VI: FLOWCHART 2 ───────────────────────────── story += [ p('FLOWCHART 2 — INVASION MECHANISM OF P. gingivalis INTO EPITHELIAL CELLS', h1), ] story += fig('fig2_invasion_mechanism.png', 'Fig. 2: Step-by-step invasion mechanism of P. gingivalis (Adherence → Signalling → ' 'Internalization → Intracellular Survival) with intracellular fate comparison ' '(Ji et al. 2014; Tribble & Lamont 2010).') story += [sp(4), hr()] # ── SECTION VII: ORANGE COMPLEX & COOPERATION ────────── story += [ p('B. Invasion of Orange Complex Bacteria and Nonperiodontopathic Bacteria', h2), p(I('F. nucleatum') + ' and ' + I('P. intermedia') + ' — members of the orange complex that are significantly increased in periodontal lesions but ' 'are not as virulent as periodontal pathogens — also presented substantial invasive ability. ' 'These two species are also able to invade both human gingival fibroblasts and endothelial cells.', body), bp(I('F. nucleatum') + ' rapidly fused with lysosomes and was ' + B('degraded within the epithelial cells') + '.'), bp('When gingival epithelial cells were co-infected with ' + I('F. nucleatum') + ' and ' + I('T. denticola') + ', ' + I('F. nucleatum') + ' facilitated the invasion of ' + I('T. denticola') + ' into gingival epithelial cells; however, ' + I('T. denticola') + ' interfered with the fusion of internalized ' + I('F. nucleatum') + ' with lysosomes.'), bp('Nonperiodontopathic bacteria such as ' + I('S. sanguinis') + ' and ' + I('V. atypica') + ' rarely invade epithelial cells. However, bacteria can cooperate — for example, ' + I('F. nucleatum') + ' can transport noninvasive ' + I('Streptococcus cristatus') + ' into epithelial cells.'), sp(4), p('C. Survival and Transmission of Periodontal Pathogens in Epithelial Cells', h2), p(B(I('P. gingivalis') + ' has been shown to survive within the cytosol of epithelial cells and to ' 'spread to neighboring epithelial cells.') + ' The intracellular trafficking was verified using bacteria genetically engineered to express the ' 'nontoxic green flavin mononucleotide-based fluorescent protein (FbFP).', body), bp('The intracellular ' + I('P. gingivalis') + '–FbFP was significantly associated with the ' + B('endoplasmic reticulum (ER) network') + ', whereas the majority of Clp serine protease-deficient ' 'mutants trafficked into the lysosomes.'), bp('The ' + B('ER structure is utilized for the persistent survival') + ' of ' + I('P. gingivalis') + ' (avoids lysosomal degradation pathway).'), bp('The bacterial ' + B('Clp serine protease') + ' is critical for optimal adaptation of the organism to intracellular life and survival.'), bp('Transmission into adjacent cells occurs via: (1) ' + B('membranous projections with actin filament scaffolds') + ' (intercellular dissemination without exposure to intercellular space); ' 'and (2) direct cell-to-cell contact.'), bp(I('T. denticola') + ' also survives within human gingival epithelial cells for extended hours ' 'by resisting targeting to the endo-lysosomal degradation pathway.'), sp(4), p('D. Invasion Through the Intercellular (Paracellular) Route', h2), p('As was shown using motile and immotile ' + I('T. denticola') + ' and three-dimensional cultured gingival epithelial cells, bacteria can also invade gingival tissue ' 'through a ' + B('paracellular route') + '. Gingival epithelial cells are adjoined by tight ' 'junction-related structures and adherent junctions.', body), bp(I('P. gingivalis') + ' and ' + I('T. denticola') + ' — periodontal pathogens with powerful proteases — ' + B('degrade epithelial junctional proteins such as E-cadherin, occludin, and ZO-1') + '.'), bp('The increased expression levels of ' + B('ZO-1, JAM-A,') + ' and ' + B('occludin') + ' in the sulcular/junctional epithelium support the important role of tight junction-related ' 'structures in the absence of a keratinized layer.'), bp('Proteinases of periodontal pathogens facilitate the intercellular invasion of bacteria by ' 'impairing the tight junction-related structure.'), sp(4), p('E. Spreading Beyond Epithelia', h2), bp(B('P. gingivalis gingipains') + ' are able to cleave the constituents of periodontal tissues, such as ' 'the basement membranes and the structural proteins collagen and elastin.'), bp(B('T. denticola chymotrypsin-like protease') + ' degrades basement membrane components ' '(type IV collagen, laminin, fibronectin), facilitating passage through reconstituted basement ' 'membrane (Matrigel).'), bp(B('F. nucleatum (AHN 9508)') + ' can penetrate the basement membrane barrier through a three-dimensional ' 'organotypic cell culture model, depending on the strain.'), sp(4), hr(), ] # ── SECTION VIII: FLOWCHART 3 ─────────────────────────── story += [ p('FLOWCHART 3 — ROUTES OF BACTERIAL INVASION & SPREADING IN PERIODONTAL TISSUE', h1), ] story += fig('fig3_invasion_routes.png', 'Fig. 3: Transcellular and paracellular invasion routes of periodontal pathogens, ' 'showing mechanisms of basement membrane penetration and connective tissue access ' '(Ji et al. 2014; Tribble & Lamont 2010).') story += [sp(4), hr()] # ── SECTION IX: IN VIVO EVIDENCE ──────────────────────── story += [ p('IV. EVIDENCE FOR BACTERIAL INVASION IN VIVO', h1), p('The presence of ' + I('P. gingivalis, T. forsythia,') + ' and ' + I('T. denticola') + ' within epithelial cells from periodontal pockets has been shown by ' + B('fluorescence in-situ hybridization and confocal microscopy') + '. ' + I('P. gingivalis') + ' was detected more frequently in the gingival biopsies from periodontitis lesions than in ' 'those from healthy sites. In-situ hybridization using a universal probe for 16S rRNA revealed ' + B('increased bacterial invasion of the gingival tissue from periodontal lesions') + ' compared with that from healthy sites in patients with chronic periodontitis.', body), p('Bacteria were observed in:', body), bp('The ' + B('pocket epithelium')), bp('The ' + B('lamina propria') + ' just beneath the basal lamina'), bp('The ' + B('connective tissue') + ' (both intracellularly and extracellularly)'), p(B('Mouse model findings:'), h3), bp('The number of T cells within the tissue had a ' + B('strong positive correlation with the number of bacterial invasion sites') + ' and was positively associated with alveolar bone loss.'), bp('Even in the absence of periodontal pathogens, ' + B('bacterial invasion caused by treatment with dextran sulfate sodium (DSS)') + ' induced inflammation and alveolar bone loss — confirming that invasion per se is the critical ' 'triggering event.'), sp(4), hr(), ] # ── SECTION X: PERSISTENCE ────────────────────────────── story += [ p('V. PERSISTENCE OF PERIODONTAL PATHOGENS', h1), p('In addition to invasion and survival in epithelial cells, ' + I('P. gingivalis') + ' can invade both human gingival fibroblasts and endothelial cells. ' + I('T. denticola') + ' is also able to adhere to and invade endothelial cells.', body), p(B('Survival strategies of ' + I('P. gingivalis') + ':'), h3), bp('Manipulation of the ' + B('host cell cycle') + ' to favor bacterial survival.'), bp('Taking intracellular refuge in ' + B('macrophages') + ' (phagocytic cells).'), bp('Survival in macrophages depends on ' + B('subversion of TLR2 activation') + ' through cross-talk between C5aR and CR3.'), bp(I('P. gingivalis') + ' proactively and selectively ' + B('inhibits IL-12 expression in macrophages') + ' to escape intracellular killing by cell-mediated immunity.'), bp('Both C5aR and CR3 are involved in the inhibition of TLR2-induced IL-12 production through ' 'the activation of ' + B('ERK1/2') + '.'), bp('LPS from ' + I('P. gingivalis') + ' does not induce IL-12p70 from dendritic cells.'), bp('Impaired IL-12 production leads to the ' + B('suppression of Th1-cell differentiation, ' 'polarizing the immune response toward the Th2-cell response') + '.'), sp(4), hr(), ] # ── SECTION XI: IMMUNE RESPONSE ───────────────────────── story += [ p('VI. HOST IMMUNE RESPONSE TO BACTERIAL INVASION', h1), p('A. Innate Immune Subversion', h2), bp(B('Localized chemokine paralysis') + ' — ' + I('P. gingivalis') + ' suppresses transcription of the IL-8 gene in gingival epithelial cells, antagonizing IL-8 ' 'secretion even following stimulation with other plaque constituents.'), bp(B('SerB-mediated NF-κB inhibition') + ' — Invasive ' + I('P. gingivalis') + ' inhibits the activity of the transcription factor NF-κB through SerB-mediated disruption ' 'of signaling pathways.'), bp(B('Gingipain-mediated cytokine degradation') + ' — Proteases impair inflammatory responses through degradation of cytokines, chemokines, ' 'and their receptors.'), bp('Reduction in IL-8 levels, along with ' + B('down-regulation of ICAM-1') + ', impairs neutrophil infiltration of gingival tissues, debilitating local innate immunity.'), sp(4), p('B. Adaptive Immune Response', h2), p('The ' + B('Th1/Th2 imbalance') + ' is a hallmark of periodontal pathogenesis:', body), bp('Reduced IFN-γ/IL-4 ratio is negatively associated with periodontal destruction in patients.'), bp(B('Th2 dominance') + ' leads to the predominance of plasma cells and B cells — ' 'a characteristic of established periodontal lesions.'), bp(B('Th17 cells') + ' — Elevated levels of IL-17 were found in the GCF of patients with severe ' 'periodontitis. The number of Th17 cells was significantly higher in periodontal lesions. ' 'Th17 is a key ' + B('osteoclastogenic') + ' helper T-cell subset → RANKL ↑ → alveolar bone destruction.'), bp(B('Treg cells') + ' — Application of the Treg-recruiting chemokine CCL22 reduced inflammation and ' 'alveolar bone loss in animal models. Treg cells play a greater role in the suppression of ' 'inflammation than in the persistence of the infection.'), sp(4), hr(), ] # ── SECTION XII: FLOWCHART 4 ──────────────────────────── story += [ p('FLOWCHART 4 — INNATE IMMUNE SUBVERSION & ADAPTIVE IMMUNE RESPONSE', h1), ] story += fig('fig4_immune_response.png', 'Fig. 4: Immune subversion mechanisms (left) and adaptive immune skewing (right) ' 'by periodontal pathogens, converging on chronic inflammation and alveolar bone loss ' '(Ji et al. 2014; Tribble & Lamont 2010).') story += [sp(4), hr()] # ── SECTION XIII: RISK FACTORS ────────────────────────── story += [ p('VII. RISK FACTORS THAT IMPAIR EPITHELIAL BARRIER FUNCTION', h1), p('The gingival epithelium forms barriers between plaque bacteria and gingival tissue, providing the ' 'first line of defense against invading bacteria. The epithelial barrier consists of ' + B('physical, chemical, and immunologic barriers') + '.', body), p('A. Risk Factors that Impair Epithelial Physical Barriers', h2), bp(B('Smoking') + ' — Can increase cell stiffness. Nicotine and tobacco products weaken the physical ' 'integrity of the gingival epithelium. Reorganization of the actin cytoskeleton is associated ' 'with changes in cell stiffness.'), bp(B('Alcohol') + ' — May impair barrier integrity of the epithelium. The association between heavy ' 'alcohol use and periodontitis is supported by epidemiological studies.'), bp(B('Periodontal pathogens themselves') + ' — ' + I('P. gingivalis') + ' and ' + I('T. denticola') + ' possess powerful proteases that degrade E-cadherin, occludin, and ZO-1, directly impairing ' 'the tight junction-related structure.'), sp(4), p('B. Risk Factors that Impair Epithelial Immunological Barriers', h2), p('Neutrophils are the predominant cell type in the subgingival sulcus and gingival crevicular fluid. ' 'The importance of neutrophils as an immunologic barrier is evident from aggressive periodontitis ' 'associated with various defects in the number or function of neutrophils.', body), sp(4), make_table( ['Condition', 'Mechanism', 'Periodontal Effect'], [ ['Agranulocytosis / Neutropenia', '↓ Neutrophil numbers', 'Aggressive periodontitis'], ['Kostmann syndrome', 'Congenital neutropenia', 'Severe alveolar bone loss'], ['Chédiak–Higashi syndrome', 'Lysosomal trafficking disorder; defective bactericidal activity', 'Severe periodontal destruction in adolescents'], ['Papillon–Lefèvre syndrome', 'Mutations in cathepsin C gene → palmoplantar keratosis', 'Premature loss of both dentitions'], ['Type I leukocyte adhesion deficiency', 'Mutation in β2-integrin gene; defective PMN migration', 'Aggressive periodontitis'], ['Defective FPR', 'Impaired PMN chemotaxis (formyl peptide receptor)', 'Aggressive periodontitis'], ], col_widths=[5.0*cm, 6.5*cm, 4.5*cm] ), sp(6), p('C. Risk Factors that Impair Epithelial Chemical Barriers', h2), p('The major antimicrobial peptides (AMPs) detected in the gingival sulcus are:', body), bp(B('α-defensins') + ' — produced by neutrophils'), bp(B('β-defensins') + ' — produced by epithelial cells'), bp(B('LL-37') + ' — produced by both cell types'), p('These AMPs effectively kill a broad range of bacteria, viruses, and fungi and thus contribute to ' 'the homeostatic balance between the host and bacteria. Impairment of AMP production (as seen in ' 'Kostmann syndrome) significantly decreases microbicidal activity and contributes to bacterial invasion.', body), sp(4), hr(), ] # ── SECTION XIV: PROPOSED MODEL ───────────────────────── story += [ p('VIII. PROPOSED MODEL FOR THE PATHOGENESIS OF PERIODONTITIS (Ji et al. 2014)', h1), p(B('1.') + ' Clinically healthy sites are colonized with a small number of subgingival bacteria ' 'composed mostly of early colonizers. Although a small number of bacteria may invade the gingival ' 'tissues, the invaded bacteria are soon cleared — ' + B('without leading to tissue destruction') + '.', body), p(B('2.') + ' The accumulation of dental plaque as a result of poor oral hygiene results in the ' + B('preferential increase of periodontal pathogens') + ' that not only have high invasive ability but also have strong proteases that impair the epithelial ' 'physical barriers.', body), p(B('3.') + ' Subsequently, ' + B('substantial amounts of bacteria invade the gingival tissues') + ', recruiting an increased number of inflammatory cells into the sites.', body), p(B('4.') + ' However, periodontal pathogens ' + B('survive intracellularly by the subversion of innate immunity') + ' and by inducing a skewed Th1/Th2 cell balance.', body), p(B('5.') + ' Dental plaque provides a source of ' + B('continuously invading bacteria as a reservoir') + '. Such persistent infection leads to ' + B('chronic inflammation and tissue destruction') + '.', body), p(B('6.') + ' Immunologic disorders, such as neutrophil dysfunction and Kostmann syndrome, ' 'contribute to aggressive periodontitis by ' + B('breaching the immunologic or chemical barrier functions') + ' of gingival epithelia.', body), p(B('7.') + ' Two major environmental risk factors — ' + B('smoking and alcohol') + ' — may contribute to the development of periodontitis by weakening the epithelial physical barriers.', body), sp(4), hr(), ] # ── SECTION XV: CRITICAL SIGNIFICANCE ────────────────── story += [ p('IX. SIGNIFICANCE OF BACTERIAL INVASION AS A CRITICAL PATHOGENETIC EVENT', h1), p('The following lines of evidence support bacterial invasion as a critical pathogenetic event:', body), bp(B('In vitro:') + ' ' + I('P. gingivalis, T. forsythia,') + ' and ' + I('T. denticola') + ' invade gingival epithelial cells, fibroblasts, and endothelial cells.'), bp(B('In vitro:') + ' ' + I('P. gingivalis') + ' survives and spreads intracellularly; it is found in the ER network, not lysosomes.'), bp(B('In vivo (human):') + ' Bacteria detected in pocket epithelium, lamina propria, and connective ' 'tissue of periodontitis patients by immunohistochemistry, immunofluorescence, and in-situ hybridization.'), bp(B('In vivo (mouse):') + ' Bacterial invasion sites correlate significantly (positively) with ' 'T-cell infiltration and alveolar bone loss.'), bp(B('Clinical association:') + ' Severe immunological defects that impair clearance of invading bacteria ' '(neutropenia, Chédiak–Higashi, Papillon–Lefèvre) are universally associated with aggressive ' 'periodontitis — supporting the causal link.'), bp(B('DSS model:') + ' Even in the absence of periodontal pathogens, DSS-induced bacterial invasion of ' 'the epithelial barrier alone was sufficient to induce inflammation and bone loss, confirming that ' + B('invasion per se is the critical triggering event') + '.'), sp(6), hr(), ] # ── SECTION XVI: SUMMARY TABLE ────────────────────────── story += [ p('X. SUMMARY TABLE', h1), sp(4), make_table( ['Feature', 'Details'], [ ['Primary pathogens', 'P. gingivalis, T. forsythia, T. denticola (red complex)'], ['Key virulence factor for invasion', 'FimA fimbriae (α5β1 integrin binding), gingipains (RgpA, RgpB, Kgp)'], ['Signaling pathway for entry', 'Integrin → FAK/paxillin → Rho GTPase → PI3K → clathrin-mediated endocytosis'], ['Intracellular survival niche', 'Endoplasmic reticulum (P. gingivalis); Clp serine protease critical for adaptation'], ['Cell spread mechanism', 'Actin filament projections (membranous); direct cell-to-cell contact'], ['Paracellular route', 'Gingipain/protease-mediated degradation of ZO-1, E-cadherin, occludin'], ['Basement membrane penetration', 'T. denticola chymotrypsin-like protease (collagen IV, laminin, fibronectin); P. gingivalis gingipains'], ['Immune evasion (innate)', 'IL-8 suppression (NF-κB/SerB); IL-12 suppression (ERK1/2); ER refuge; ICAM-1 down-regulation'], ['Adaptive immune skewing', 'Th1 suppression → Th2/Th17/Treg response → plasma cells, osteoclastogenesis'], ['Clinical consequence', 'Chronic inflammation, collagen loss, alveolar bone resorption (periodontitis)'], ['Risk factors amplifying invasion', 'Neutropenia, Chédiak–Higashi, Papillon–Lefèvre syndrome, smoking, alcohol'], ], col_widths=[6.0*cm, 10.0*cm] ), sp(8), ] # ── REFERENCES ────────────────────────────────────────── story += [ hr(), p('REFERENCES', h1), p('1. Ji S, Choi YS, Choi Y. <i>Bacterial invasion and persistence: critical events in the pathogenesis of periodontitis?</i> ' 'J Periodontal Res 2014; doi:10.1111/jre.12248.', body), p('2. Tribble GD, Lamont RJ. <i>Bacterial invasion of epithelial cells and spreading in periodontal tissue.</i> ' 'Periodontol 2000. 2010;52(1):68–83. PMID: 20017796 | PMCID: PMC3647226.', body), sp(6), p('Note: This long note strictly preserves the language and content from the two provided articles. ' 'All flowcharts and diagrams visually represent the mechanisms described in these texts.', note_style), ] # ── BUILD PDF ──────────────────────────────────────────── doc.build(story) print("PDF generated:", OUT) import os print("Size:", os.path.getsize(OUT), "bytes") PYEOF