| Literature DB >> 29145491 |
Daniela Knafl1, Markus Müller2, Sahra Pajenda3, Zeynep Genc3, Manfred Hecking3, Ludwig Wagner3.
Abstract
BACKGROUND: Acute kidney injury (AKI) is frequently observed in serious infections, following nephrotoxic medication, surgery and trauma. Here we tested whether the detection of two recently identified biomarkers for AKI, Tissue Inhibitor of Metalloproteinase-2 (TIMP-2) and Insulin-Like Growth Factor Binding Protein 7 (IGFBP7), depends on the expression of these proteins in cells of the urinary sediment.Entities:
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Year: 2017 PMID: 29145491 PMCID: PMC5690422 DOI: 10.1371/journal.pone.0188316
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Demographics and laboratory values.
| All | Normal Range | |
|---|---|---|
| Number of Patient (%) | 47 (100) | |
| Transplant recipients (%) | 33 (70) | |
| Female (%) | 17 (36) | |
| Age [years] | 59±16 | |
| AKI stage I (%) | 15 (32) | |
| Transplant recipients | 13 | |
| AKI stage II (%) | 13 (27) | |
| Transplant recipients | 7 | |
| AKI stage III (%) | 19 (40) | |
| Transplant recipients | 13 | |
| Patients requiring haemodialysis (%) | 3 (6) | |
| Transplant recipients | 2 | |
| sCr [mg/dl] | 3.9±2.28 | 0.5–0.9 |
| eGFR [ml/min/1.73m2] | 22.88±16.1 | >90 |
| NephroCheck® score [(ng/ml)2/1000] | 2.33±9.95 | |
| CRP [mg/dl] | 6.15±7.7 | <0.5 |
Categorical variables are reported as counts and frequencies. Continuous variables are reported as medians and ranges, or means ± standard deviations.
Table of confounders and individual patients´ demographics.
| ID | Transplant recipient | Sex | Age in years | AKI related diseases | Microbiology | KDIGO stage |
|---|---|---|---|---|---|---|
| 1 | yes | M | 40 | Rejection episode | 2 | |
| 2 | yes | M | 52 | Wound infection, hematoma | ni | 1 |
| 3 | yes | M | 46 | DGF | 3 | |
| 4 | yes | M | 71 | Kidney transplant | 1 | |
| 5 | yes | M | 55 | Kidney transplant | 1 | |
| 6 | yes | M | 77 | DGF | 3 | |
| 7 | no | M | 68 | Infection, UTI | 3 | |
| 8 | no | F | 76 | Crush syndrome, rhabdomyolysis | 3 | |
| 9 | yes | M | 35 | DGF | 3 | |
| 10 | yes | M | 62 | DGF | 3 | |
| 11 | no | M | 24 | HUS | ni | 2 |
| 12 | yes | M | 48 | DGF | 3 | |
| 13 | yes | M | 36 | Infection, PE | ni | 1 |
| 14 | yes | F | 53 | DGF | 3 | |
| 15 | yes | F | 67 | Rejection episode | 3 | |
| 16 | yes | M | 57 | DGF | 3 | |
| 17 | yes | M | 77 | DGF | 3 | |
| 18 | no | M | 74 | Infection, UTI | ni | 2 |
| 19 | no | F | 61 | Infection, UTI | ni | 3 |
| 20 | yes | M | 28 | Infection, UTI | 1 | |
| 21 | no | F | 53 | Chemotherapy | 3 | |
| 22 | yes | F | 77 | Infection, UTI | ni | 1 |
| 23 | yes | M | 62 | DGF | 3 | |
| 24 | yes | F | 69 | Infection, UTI | 2 | |
| 25 | no | F | 46 | Sepsis, undefined focus | 3 | |
| 26 | yes | F | 27 | Infection, UTI | 1 | |
| 27 | no | F | 34 | Sepsis, cholecystitis | ni | 1 |
| 28 | no | M | 51 | Cardiac failure, NYHA IV | 2 | |
| 29 | yes | F | 79 | Kidney transplant | 1 | |
| 30 | yes | M | 61 | Infection, UTI | 3 | |
| 31 | yes | F | 60 | Infection, UTI | ni | 1 |
| 32 | no | F | 63 | Cardiac failure, NYHA IV | 2 | |
| 33 | yes | M | 76 | DGF | 3 | |
| 34 | yes | M | 56 | Infection, UTI | 1 | |
| 35 | yes | M | 70 | Infection, UTI | ni | 1 |
| 36 | no | M | 62 | Cardiac failure, NYHA IV | 2 | |
| 37 | yes | F | 95 | Infection, UTI | 2 | |
| 38 | yes | M | 22 | Infection, UTI | 2 | |
| 39 | no | M | 60 | Chemotherapy, pheochromocytoma | 3 | |
| 40 | yes | M | 76 | Rejection episode | 2 | |
| 41 | yes | M | 47 | Infection, UTI | 2 | |
| 42 | yes | M | 56 | Infection, UTI | ni | 2 |
| 43 | no | F | 61 | Sepsis, undefined focus | 1 | |
| 44 | no | M | 58 | Chemotherapy | 2 | |
| 45 | yes | M | 39 | Infection, UTI | 1 | |
| 46 | yes | F | 67 | Infection, UTI | 1 | |
| 47 | yes | F | 78 | DGF | 3 |
Individual patient data: transplant status, gender, age, underlying disease, isolated bacteria, stage of AKI according to KDIGO
Delayed graft function (DGF), not identified (ni), urinary tract infection (UTI), pulmonary embolism (PE), New York Heart Association IV (NYHA IV) defined as dyspnea due to cardiac failure while patient is at rest, Escherichia coli (E. coli), Pseudomonas aeruginosa (P. aeruginosa).
Underlying diseases most likely causing AKI.
| pyelonephritis | 9 |
| delayed graft function | 10 |
| rejection episode | 2 |
| wound infection | 1 |
| hypovolemic shock | 1 |
| kidney transplantation | 3 |
| chemotherapy induced kidney injury | 3 |
| rhabdomyolysis | 1 |
| sepsis | 3 |
| pyelonephritis | 3 |
| hemolytic uremic syndrome | 1 |
| cardiac failure | 3 |
Underlying diseases most likely causing AKI in renal transplant patients (A) and patients without kidney transplantation (B).
Fig 1Correlation of NC-score with relative change of TIMP-2 and IGFBP7 expression, sCr and CRP.
A) Pearson square pairwise correlation of NC-score with relative change of TIMP-2 mRNA expression in urinary sediment cells taking three normal kidney tissues as reference level. B) Pearson square pairwise correlation of NC-score with relative change of fold IGFBP7 change in urinary sediment cells taking three normal kidney tissues as reference level. C) Pearson square pairwise correlation of NC-score with serum creatinine levels (mg/dl) (r = -0.0283, p = 0.3995). D) Pearson square pairwise correlation of NC-score with CRP (mg/dl) (r = 0.3382, p = 0.0009).
Fig 2NC score, sCr, normalized fold TIMP-2 expression and staining of urinary sediment of representative patient #1.
A) A representative patient after kidney transplantation, but requiring haemodialysis (HD) throughout the first week post-transplant (DGF). Improvement of renal function was accompanied by an increase of urinary sediment TIMP-2 expression, and decrease in NC score parameter. 100 days after kidney transplantation the patient was alive with a serum creatinine of 2.1 mg/dL. B) HE (upper panel) and confocal immunofluorescence staining (lower panel) of urine sediment from the representative patient with delayed graft function. Many morphologically disintegrated cells including casts appeared in urine (day 14). This changed rapidly the following days, cell number in urine increased from day 14 to day 17. Furthermore, the percentage of TIMP-2 positive staining cells increased with presence of a mitosis (day 18) while the number of disintegrated cells decreased, accompanied by rapid fall in NC-score and decrease in sCr.
Fig 3Dual colour confocal microscopy of urinary sediment.
A) Kidney epithelial cell originating from the proximal tubule identified by AQP1 positive staining (green). TIMP-2 expression (red) is also present to high extent. The cell shows signs of membrane lesion and the nucleus is condensed. Cell debris (>) positive for AQP1. B) One AQP1/TIMP-2 (green/red) proximal tubule cells and TIMP-2 positive epithelial cell (red) not originating from the proximal tubule. C) AQP1/TIMP-2 (green/red) positive proximal tubule cell showing nuclear fragmentation (>) in form of apoptotic bodies from patient #2 at the time point when urine production started.
Fig 4NC score, sCr and normalized fold TIMP-2 expression of representative patient #2.
A 74 year old male patient having received a cadaver renal allograft from a 79-year-old donor showing delayed graft function and histologically verified signs of antibody mediated rejection. He underwent 12 sessions of immunoapharesis (IA) using a protein A column. His renal function gradually was improving and so the NC score as well as the urinary cell count and cell morphology.