| Literature DB >> 30591070 |
Adnan Aslan1,2, Marius C van den Heuvel3, Coen A Stegeman4, Eliane R Popa2, Annemarie M Leliveld5, Grietje Molema2, Jan G Zijlstra6, Jill Moser1,2, Matijs van Meurs1,2.
Abstract
PURPOSE: The histopathology of sepsis-associated acute kidney injury (AKI) in critically ill patients remains an understudied area. Previous studies have identified that acute tubular necrosis (ATN) is not the only driver of sepsis-AKI. The focus of this study was to identify additional candidate processes that may drive sepsis-AKI. To do this we immunohistochemically characterized the histopathological and cellular features in various compartments of human septic kidneys.Entities:
Keywords: AKI; Apoptosis; Fibrin; Fibroblast; Histopathology; Immune cells; Kidney; Sepsis
Mesh:
Year: 2018 PMID: 30591070 PMCID: PMC6307291 DOI: 10.1186/s13054-018-2287-3
Source DB: PubMed Journal: Crit Care ISSN: 1364-8535 Impact factor: 9.097
Patient characteristics
| Sepsis ( | Control ( | |
|---|---|---|
| Age (mean yearS (range)) | 67.9 (40–85) | 59.5 (20–79) |
| Sex (female:male) | 10:17 | 7:5 |
| LOS (mean days (range)) | 3.6 (1–12) | |
| Comorbidities/Medical history ( | ||
| Hypertension | 8 | 3 |
| Diabetes mellitus | 3 | 1 |
| COPD or asthma | 7 | 4 |
| Coronary disease | 5 | 1 |
| Morbid obesity | 2 | 0 |
| Neurologic | 3 | 1 |
| Renal disease | 0 | 0 |
| Vascular surgery | 2 | 0 |
| Auto-immune disease | 4 | 2 |
| Neoplasms (extra-renal) | 4 | 4 |
| RIFLE stagea ( | ||
| Risk | 0 | n.a. |
| Injury | 12 | |
| Failure | 15 | |
| Lost renal function | 0 | |
| End-stage kidney failure | 0 | |
| Need for RRT: yes/no | 12/15 | n.a. |
| Biopsy time (mean minutes (range)) | 33 (24–150) | n.a. |
| Microorganisms (strains) | n.a. | |
| Gram-positive | 12 | |
| Gram-negative | 23 | |
| Viral (norovirus and HIV) | 2 | |
| Fungus/yeast | 5 | |
LOS Length of stay, RRT renal replacement therapy, COPD chronic obstructive pulmonary disease, HIV human immunodeficiency virus, n.a. not applicable
aNumber of patients at respective stages
Scoring methods for the histological evaluation of kidney biopsies
| Compartment | |
| Histological feature | |
| • Scoring method | |
| Glomerulus | |
| Total count glomeruli | |
| • All representative (adequately cross-cut) glomeruli together of 27 patients with sepsis | |
| Sclerotic glomeruli | |
| • Scored positive when total sclerosis of glomerulus is observed | |
| Glomerulitis | |
| • Yes: ≥ 10 leukocytes in glomerular capillaries | |
| • No: < 10 leukocytes in glomerular capillaries | |
| Increase in mesangial matrix | |
| • Stage 0: no mesangial matrix increase | |
| • Stage 1: up to 25% of non-sclerotic glomeruli affected (at least moderate matrix increase) | |
| • Stage 2: 26–50% of non-sclerotic glomeruli affected (at least moderate matrix increase) | |
| • Stage 3: > 50% of non-sclerotic glomeruli affected (at least moderate matrix increase) | |
| Leukocyte subsets | |
| • Number of CD3, CD20, CD68 and neutrophil elastase-positive cells in glomeruli divided by the total count of glomeruli, reported as mean number of positive cells/glomerulus | |
| Proliferating cells | |
| • Number of Ki-67 positive cells/glomerulus | |
| Myofibroblasts | |
| • Number of anti-α-SMA positive cells in glomeruli divided by the total count of glomeruli, reported as mean positive foci/glomerulus | |
| Thrombus formation | |
| • Martius, scarlet and blue positive cells in glomeruli divided by the total count of glomeruli, reported as mean positive foci/glomerulus | |
| Apoptosis | |
| • Number of Anti-caspase-3 positive cells in glomeruli divided by the total count of glomeruli, reported as mean positive foci/glomerulus | |
| Tubulointerstitium | |
| Tubulitis | |
| • Stage 0: no mononuclear cells in tubules | |
| • Stage 1: 1–4 mononuclear cells/tubular cross-section | |
| • Stage 2: 5–10 mononuclear cells/tubular cross-section | |
| • Stage 3: > 10 mononuclear cells/tubular cross-section | |
| Interstitial inflammation | |
| • Stage 0: no or hardly any interstitial parenchyma covered with mononuclear cells | |
| • Stage 1: 10–25% of interstitial parenchyma covered with mononuclear cells | |
| • Stage 2: 26–50% of interstitial parenchyma covered with mononuclear cells | |
| • Stage 3: > 50% of interstitial parenchyma covered with mononuclear cells | |
| Interstitial fibrosis | |
| • Stage 0: interstitial fibrosis tissue of up to 5% of total area | |
| • Stage 1: mild-interstitial fibrosis tissue of 6–25% of total area | |
| • Stage 2: moderate-interstitial fibrosis of 26–50% of total area | |
| • Stage 3: severe interstitial fibrosis of > 50% of total area | |
| Tubular atrophy | |
| • Stage 0: no tubular atrophy | |
| • Stage 1: atrophy in 0–25% of the tubules | |
| • Stage 2: atrophy in 26–50% of the tubules | |
| • Stage 3: atrophy of > 50% of the tubules | |
| Leukocyte subsets | |
| Number of CD3, CD20, CD68 and neutrophil elastase-positive cells | |
| • Stage 0: absent | |
| • Stage 1: focally present | |
| • Stage 2: diffusely present | |
| Proliferating cells | |
| • Number of Ki-67 positive cells/200 tubular epithelial cells | |
| Myofibroblasts | |
| anti-α-SMA positive cells present in tubulointerstitium | |
| • Stage 0: none | |
| • Stage 1: present in 0–25% of tubulointerstitium | |
| • Stage 2: present in 26–50% of tubulointerstitium | |
| • Stage 3: present in 51–75% of tubulointerstitium | |
| • Stage 4: present in > 75% of tubulointerstitium | |
| Thrombus formation | |
| • Number of martius, scarlet and blue total positive foci/2 mm2 | |
| Apoptosis | |
| Number of Anti-caspase-3 total positive cells present in tubulointerstitium | |
| • Stage 0: absent | |
| • Stage 1: present in 0–10% of total interstitial cells | |
| • Stage 2: present in 11–50% of total interstitial cells | |
| • Stage 3: present in > 50% of total interstitial cells | |
| Blood vessels | |
| Arteriolar intima sclerosis | |
| • Stage 0: no chronic vascular changes | |
| • Stage 1: vascular narrowing of up to 25% luminal area of arteries fibro-intimal thickening | |
| • Stage 2: vascular narrowing with 26–50% luminal area of arteries fibro-intimal thickening | |
| • Stage 3: vascular narrowing with 26–50% luminal area of arteries fibro-intimal thickening | |
| Arteriolar hyaline | |
| • Stage 0: no PAS-positive hyaline thickening | |
| • Stage 1: mild-to-moderate PAS-positive hyaline in at least one arteriole | |
| • Stage 2: moderate-to-severe PAS-positive hyaline thickening in more than one arteriole | |
| • Stage 3: severe PAS-positive hyaline thickening in many arterioles | |
| Intima arteritis | |
| • Stage 0: no arteritis | |
| • Stage 1: mild-to-moderate intimal arteritis in at least one arterial cross-section | |
| • Stage 2: severe intima arteritis with at least 25% luminal area lost in at least one arterial cross-section | |
| • Stage 3: arterial fibrinoid change and/or transmural arteritis with medial smooth muscle necrosis with lymphocytic inflammation | |
| Peritubular capillaritis | |
| • Stage 0: < 10% of capillaries contain inflammatory cells | |
| • Stage 1: > 10% of capillaries contain inflammatory cells, 3–4 mononuclear cells in peritubular capillary lumen | |
| • Stage 2: > 10% of capillaries contain inflammatory cells, 5–10 mononuclear cells in peritubular capillary lumen | |
| • Stage 3: if > 10% of capillaries contain inflammatory cells, > 10 mononuclear cells in peritubular capillary lumen |
PAS periodic acid–Schiff, SMA smooth muscle actin
Fig. 1Leukocyte infiltration in the glomeruli. Leukocyte subsets were immunohistochemically detected in kidney biopsy samples using specific antibodies (Additional file 2: Table S3: Primary antibodies) and scored according to Table 2. Leukocyte subsets were counted and divided by the number of glomeruli per patient. Neutrophils (a, b), macrophages (d, e), T lymphocytes (g, h), and B lymphocytes (j, k) were observed in the glomeruli in kidney tissue from control patients (a, d, g, j) and patients with sepsis (b, e, h, k), and mean leukocyte counts were determined (c, f, i, l). Black arrows show positively stained leukocytes of various subsets. *Statistically significant. Black lines are medians (c, f, i, l). Red scale bar = 50 μm
Fig. 2Leukocyte infiltration in the tubulointerstitium. Leukocyte subsets were immunohistochemically detected in kidney biopsy samples using specific antibodies (Additional file 2: Table S3: Primary antibodies) and scored according to Table 2. Neutrophils (a, b), macrophages (d, e), T lymphocytes (g, h), and B lymphocytes (j, k) were observed in the interstitium in kidney samples from control patients (a, d, g, j) and patients with sepsis (b, e, h, k), and mean leukocyte counts were determined (c, f, i, l). T lymphocytes, B lymphocytes, and macrophages were quantified using an arbitrary score (0 = absent, 1 = focal, 2 = diffuse; c, f, i). For neutrophils, absolute cell counts were determined per high power field (HPF). Black arrows show stained leukocytes of various subsets. *Statistically significant difference. Black lines are medians (c, f, i, l). Red scale bars = 50 μm
Fig. 3Macrophage subtypes in sepsis with acute kidney injury. Using specific antibodies (Additional file 2: Table S3: Primary antibodies) and scored according to Table 2A,: total macrophages (CD68) and macrophage subtypes (type I: IRF-5, type II: CD163) were immunohistochemically detected and quantified in the glomeruli in kidney samples from patients with sepsis and controls. a Representative picture of a tubular region of a biopsy from a patient with sepsis to illustrate the morphology of an intermediate macrophage. Black arrow: type II macrophage in the peritubular capillary (CD163-positive). White arrow: “intermediate” macrophage with double staining positive for IRF-5 (type I macrophage) and CD163 (type II macrophage) in the peritubular capillary (b). *Statistically significant differences. Black lines are medians T, tubulus
Fig. 4Proliferation, fibrin deposition and apoptosis in the glomeruli. Markers for tissue repair and fibrin deposition were immunohistochemically detected in kidney biopsy samples using specific antibodies (Additional file 2: Table S3: Primary antibodies) and scored according to Table 2. Myofibroblasts (alpha-smooth muscle actin (SMA; a, b), cell proliferation (Ki-67; d, e), apoptosis (caspase 3; g, h), and fibrin deposition (martius, scarlet, and blue; j, k) were detected in the glomeruli in samples from control patients (a, d, g, j) and patients with sepsis (b, e, h, k) and quantified (c, f, i, l) per podocyte per patient or per glomerulus per patient. Black arrows show representative staining. *Statistically significant difference. Black lines are medians (c, f, i, l). Red scale bar = 50 μm
Fig. 5Proliferation, fibrin deposition and apoptosis in the tubulointerstitium. Markers for tissue repair and fibrin deposition were immunohistochemically detected in kidney biopsy samples using specific antibodies (Additional file 2: Table S3: Primary antibodies) and scored according to Table 2. Myofibroblasts (alpha-smooth muscle actin (SMA); a, b), cell proliferation (Ki-67; d, e), apoptosis (caspase 3; g, h), and fibrin deposition (martius, scarlet, and blue; j, k) were detected in the interstitium in samples from control patients (a, d, g, j) and patients with sepsis (b, e, h, k) and quantified (c, f, i, l). Caspase staining was quantified using an arbitrary score (0, absent; 1, > 0–10% cells positive; 2, > 10–50% cells positive; 3, > 50% cells positive). Black arrows show representative staining. *Statistically significant difference. Black lines are medians (c, f, i, l). Red scale bar = 50 μm