| Literature DB >> 35160088 |
Chiara Donadei1, Andrea Angeletti1,2, Maria Cappuccilli1, Massimiliano Conti3, Diletta Conte1, Fulvia Zappulo1, Alessio De Giovanni4, Deborah Malvi4, Rita Aldini5, Aldo Roda5, Gaetano La Manna1.
Abstract
BACKGROUND: Acute kidney injury (AKI) is common in advanced liver cirrhosis, a consequence of reduced kidney perfusion due to splanchnic arterial vasodilation and intrarenal vasoconstriction. It clinically manifests as hepatorenal syndrome type 1, type 2, or as acute tubular necrosis. Beyond hemodynamic factors, an additional mechanism may be hypothesized to explain the renal dysfunction during liver cirrhosis. Recent evidence suggest that such mechanisms may be closely related to obstructive jaundice.Entities:
Keywords: acute kidney injury; bile acids; choleric nephropathy; liver cirrhosis; organic transport proteins; rat model; serum inflammation biomarkers; urinary tubular injury biomarkers
Year: 2022 PMID: 35160088 PMCID: PMC8836491 DOI: 10.3390/jcm11030636
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Activity and fibrosis according to Ishak’s scheme [24] and METAVIR system [25] on 21 CCl4-treated rats of the cirrhosis model and 5 untreated controls.
| CCl4-Treated Rats | Total Activity Stage [ | Fibrosis Stage [ | METAVIR Stage [ |
|---|---|---|---|
| 1 | 5 | 6 | F4 |
| 2 | 5 | 6 | F4 |
| 3 | 5 | 6 | F4 |
| 4 | 5 | 6 | F4 |
| 5 | 8 | 6 | F4 |
| 6 | 8 | 6 | F4 |
| 7 | 8 | 5 | F3 |
| 8 | 8 | 6 | F4 |
| 9 | 3 | 6 | F4 |
| 10 | 3 | 6 | F4 |
| 11 | 3 | 6 | F4 |
| 12 | 4 | 6 | F4 |
| 13 | 2 | 6 | F4 |
| 14 | 4 | 6 | F4 |
| 15 | 4 | 6 | F4 |
| 16 | 6 | 6 | F4 |
| 17 | 4 | 5 | F3 |
| 18 | 3 | 6 | F4 |
| 19 | 2 | 6 | F4 |
| 20 | 2 | 4 | F3 |
| 21 | 2 | 6 | F4 |
|
| |||
| 22 | 0 | 0 | F0 |
| 23 | 0 | 0 | F0 |
| 24 | 0 | 0 | F0 |
| 25 | 0 | 0 | F0 |
| 26 | 0 | 0 | F0 |
Figure 1Bile acids transporters in kidneys after 13 weeks of CCl4 treatment. Immunohistochemistry for bile acid transporters in cirrhotic (left) and control rats (right) at 40X (A–C,E,G,H,K,L) and at 10× magnification (F,I,J). NTCP showed weak granular cytoplasmic positivity, more intensive in cirrhosis (A,B). Cytoplasmic positivity for BSEP was weak in cirrhotic and moderate in controls with a granular distribution in both groups (C,D). P-Gly showed a continuous and thin immunoreactivity always along apical membrane in both groups, more intensive in controls (E,F). ASBT was weakly positive in both groups (G,H). MRP4 showed a lower intensity in treated rats than controls, in particular moderate cytoplasm positivity with intense expression on base-lateral membrane (I,J). For osteopontin, both cirrhotic and control rats showed diffuse apical membrane positivity, more intensive in the treated animals (K,L).
Concentration of free, taurine-conjugated, and total bile acids (BAs) in treated and untreated animals. Data are provided as mean values ± SD. The groups were compared by Student t-test and a p < 0.05 was considered as statistically significant.
| CCl4-Treated Rats | Control Rats | ||
|---|---|---|---|
| Free BA in plasma, µmol/L | 16 ± 1.5 | 0.92 ± 0.03 | <0.0001 |
| Free BA in urines, µmol/L | 81 ± 11.6 | 0.12 ± 0.06 | <0.0001 |
| Taurine-conjugated BA in plasma, µmol/L | 10 ± 5 | 2.1 ± 1.3 | 0.021 |
| Taurine-conjugated BA in urines, µmol/L | 112 ± 20 | 0.06 ± 0.01 | <0.0001 |
| Total BA in plasma, µmol/L | 26 ± 17 | 2.8 ± 1.2 | 0.0062 |
| Total BA in urines, µmol/L | 101 ± 11.2 | 0.26 ± 0.2 | <0.0001 |
Figure 2Circulating cytokines and growth factors changes over time during CCl4 treatment in the cirrhotic animals. Data are expressed as percentage variation compared with baseline, considering the baseline value as 100%. The comparisons were made between each experimental time vs. T0 by Student t-test and p < 0.05 was considered statistically significant.
Figure 3Urinary biomarkers changes over time during CCl4 treatment in the cirrhotic animals. Data are expressed as percentage variation compared with baseline, considering the baseline value as 100%. The comparisons were made between each experimental time vs. T0 by Student t-test and p < 0.05 was considered statistically significant.
Figure 4Model of bile acids transport proteins, based on immunohistochemistry findings: transport proteins for bile acids in in jaundice state, such as cirrhosis (left) and in healthy renal proximal tubule cell (right). The number of “+”on the colored boxes represent the immunohistochemistry staining intensity; +: weak; ++: moderate; +++: intensive; ++++: highly intensive.
Summary of transport proteins for bile acids in CCl4-treated and control rats detected with immunohistochemistry assay.
| CCl4-Treated Rats ( | Control Rats ( | ||||||
|---|---|---|---|---|---|---|---|
| Putative Role in Kidney | Cytoplasm | Apical | BL | Cytoplasm | Apical | BL | |
| NTCP | Unknown | Intensive/granular | / | / | Weak/granular | / | / |
| BSEP | Unknown | Weak/granular | / | / | Moderate/granular | Weak | / |
| P-Gly | Unknown | / | Moderate/intensive | / | / | High/intensive | / |
| ASBT | Reabsorption of free bile acids from lumen to PTC | Weak | / | / | Weak | / | / |
| MRP4 | Transporter for free bile acids from cytoplasm of PTC to lumen | Weak | Weak | Moderate | Moderate | Weak | Intensive |
| Osteopontin | Transporter for free bile acids from cytoplasm of PTC to serum, through the basolateral membrane | / | Moderate/intensive | / | / | Weak | / |
BSEP: bile salt export pump; ASBT: solute carrier family 10 member 2; MRP4: multidrug resistance protein 4; PTC: proximal tubular cells; P-Gly: P-Glycoprotein; NTCP: solute carrier family 10 member 1.
Total score in decompensated cirrhotic rats during the study. The last row reports the mean ± SD of each score and of the overall score.
| CCl4-Treated Rats | Histological Score | Biochemical Score | Ascites | Encephalopathy | Overall Score |
|---|---|---|---|---|---|
| 1 | 11 | 7 | 1 | 2 | 21 |
| 2 | 11 | 13 | 3 | 3 | 30 |
| 3 | 11 | 6 | 3 | 1 | 21 |
| 4 | 11 | 0 | 2 | 1 | 14 |
| 5 | 14 | 10 | 3 | 3 | 30 |
| 6 | 14 | 6 | 3 | 2 | 25 |
| 7 | 13 | 9 | 3 | 2 | 27 |
| 8 | 14 | 7 | 1 | 1 | 23 |
| 9 | 9 | 5 | 3 | 1 | 18 |
| 10 | 9 | 7 | 3 | 3 | 22 |
| 11 | 9 | 6 | 3 | 2 | 20 |
| 12 | 10 | 7 | 1 | 1 | 19 |
| 13 | 8 | 5 | 3 | 2 | 18 |
| 14 | 10 | 5 | 3 | 1 | 19 |
| 15 | 10 | 7 | 3 | 1 | 21 |
| 16 | 12 | 6 | 1 | 2 | 21 |
| 17 | 9 | 5 | 1 | 1 | 16 |
| 18 | 9 | 7 | 3 | 2 | 21 |
| 19 | 8 | 8 | 3 | 2 | 21 |
| 20 | 6 | 6 | 3 | 3 | 18 |
| 21 | 8 | 4 | 3 | 2 | 17 |
| Mean ± SD | 10.3 ± 2.1 | 6.5 ± 2.4 | 2.5 ± 0.9 | 1.8 ± 0.7 | 21.0 ± 4.1 |
Spearman’s rank correlation coefficients and related p values for the associations of serum creatinine levels at the various experimental times with inflammatory cytokines and growth factors.
| sCreat T1 | sCreat T2 | sCreat T4 | sCreat T8 | sCreat T12 | ||
|---|---|---|---|---|---|---|
| IL-1α | Correlation coefficient | −0.316 | 0.467 | 0.409 | 0.005 | 0.197 |
| 0.541 | 0.038 * | 0.073 | 0.982 | 0.391 | ||
| IL-6 | Correlation coefficient | −0.566 | 0.424 | 0.451 | 0.084 | 0.181 |
| 0.242 | 0.063 | 0.046 * | 0.724 | 0.432 | ||
| IL-12p70 | Correlation coefficient | −0.664 | 0.359 | 0.496 | 0.063 | −0.037 |
| 0.150 | 0.143 | 0.043 * | 0.792 | 0.873 | ||
| IL-18 | Correlation coefficient | −0.566 | 0.381 | 0.466 | −0.112 | −0.234 |
| 0.242 | 0.108 | 0.051 ^ | 0.638 | 0.308 | ||
| GRO/KC | Correlation coefficient | −0.310 | 0.250 | 0.468 | 0.178 | −0.033 |
| 0.550 | 0.288 | 0.038 * | 0.479 | 0.890 | ||
| MCP-1 | Correlation coefficient | −0.655 | 0.449 | 0.360 | 0.422 | 0.325 |
| 0.158 | 0.047 * | 0.119 | 0.064 | 0.175 |
sCreat: serum creatinine; IL-1α: interleukin 1 alpha; IL-6: interleukin 6; IL-12p70: interleukin 12p70; IL-18: interleukin 18; GRO/KC: growth-related oncogene/keratinocyte chemoattractant; MCP-1: monocyte chemoattractant protein-1. A p < 0.05 was considered statistically significant (* significant, ^ nearly significant).
Spearman’s rank correlation coefficients and related p values for the associations of serum creatinine levels at the various experimental times with urinary biomarkers of kidney injury.
| sCreat T1 | sCreat T2 | sCreat T4 | sCreat T8 | sCreat T12 | ||
|---|---|---|---|---|---|---|
| IL-18 | Correlation coefficient | −0.100 | 0.647 | 0.098 | 0.194 | 0.200 |
| 0.873 | 0.002 * | 0.718 | 0.488 | 0.475 | ||
| Osteopontin | Correlation coefficient | −0.600 | 0.622 | 0.242 | 0.089 | 0.047 |
| 0.285 | 0.003 * | 0.367 | 0.710 | 0.879 | ||
| B2M | Correlation coefficient | 0.200 | 0.328 | 0.757 | 0.018 | 0.041 |
| 0.747 | 0.171 | 0.003 * | 0.946 | 0.884 | ||
| NGAL | Correlation coefficient | 0.200 | 0.108 | 0.721 | 0.031 | −0.447 |
| 0.747 | 0.651 | 0.004 * | 0.904 | 0.095 |
sCreat: serum creatinine; IL-18: interleukin 18; B2M: beta-2-microglobulin; NGAL: neutrophil gelatinase-associated lipocalin. A p < 0.05 was considered statistically significant (* significant).