• Something wrong with this record ?

The Effect of Lipotoxicity on Renal Dysfunction in a Nonobese Rat Model of Metabolic Syndrome: A Urinary Proteomic Approach

I. Markova, D. Miklankova, M. Hüttl, P. Kacer, J. Skibova, J. Kucera, R. Sedlacek, T. Kacerova, L. Kazdova, H. Malinska,

. 2019 ; 2019 (-) : 8712979. [pub] 20191206

Language English Country Great Britain

Document type Journal Article

Introduction: The development of metabolic syndrome-associated renal dysfunction is exacerbated by a number of factors including dyslipidemia, ectopic deposition of lipids and their toxic metabolites, impairment of lipid metabolism, and insulin resistance. Renal dysfunction is also affected by the production of proinflammatory and profibrotic factors secreted from adipose tissue, which can in turn directly impair kidney cells and potentiate insulin resistance. In this study, we investigated the manifestation of renal lipid accumulation and its effect on renal dysfunction in a model of metabolic syndrome-the hereditary hypertriglyceridemic rat (HHTg)-by assessing microalbuminuria and targeted urinary proteomics. Male Wistar control rats and HHTg rats were fed a standard diet and observed over the course of ageing at 3, 12, and 20 months of age. Results: Chronically elevated levels of triglycerides in HHTg rats were associated with increased levels of NEFA during OGTT and over a period of 24 hours (+80%, P < 0.01). HHTg animals exhibited qualitative changes in NEFA fatty acid composition, represented by an increased proportion of saturated fatty acids (P < 0.05) and a decreased proportion of n-3 PUFA (P < 0.01). Ectopic lipid deposition in the kidneys of HHTg rats-triglycerides (+30%) and cholesterol (+10%)-was associated with markedly elevated microalbuminuria as ageing increased, despite the absence of microalbuminuria at the young age of 3 months in these animals. According to targeted proteomic analysis, 3-month-old HHTg rats (in comparison to age-matched controls) exhibited increased urinary secretion of proinflammatory parameters (MCP-1, IL-6, IL-8, P < 0.01) and decreased urinary secretion of epidermal growth factor (EGF, P < 0.01) before manifestation of microalbuminuria. Elevation in the urinary secretion of inflammatory cytokines can be affected by increased relative expression of MCP-1 in the renal cortex (P < 0.05). Conclusions: Our results confirm dyslipidemia and ectopic lipid accumulation to be key contributors in the development of metabolic syndrome-associated renal dysfunction. Assessing urinary secretion of proinflammatory cytokines and epidermal growth factor can help in detecting early development of metabolic syndrome-associated renal dysfunction.

References provided by Crossref.org

000      
00000naa a2200000 a 4500
001      
bmc20023348
003      
CZ-PrNML
005      
20250618142113.0
007      
ta
008      
201125e20191206xxk f 000 0|eng||
009      
AR
024    7_
$a 10.1155/2019/8712979 $2 doi
035    __
$a (PubMed)31886287
040    __
$a ABA008 $b cze $d ABA008 $e AACR2
041    0_
$a eng
044    __
$a xxk
100    1_
$a Markova, Irena $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
245    14
$a The Effect of Lipotoxicity on Renal Dysfunction in a Nonobese Rat Model of Metabolic Syndrome: A Urinary Proteomic Approach / $c I. Markova, D. Miklankova, M. Hüttl, P. Kacer, J. Skibova, J. Kucera, R. Sedlacek, T. Kacerova, L. Kazdova, H. Malinska,
520    9_
$a Introduction: The development of metabolic syndrome-associated renal dysfunction is exacerbated by a number of factors including dyslipidemia, ectopic deposition of lipids and their toxic metabolites, impairment of lipid metabolism, and insulin resistance. Renal dysfunction is also affected by the production of proinflammatory and profibrotic factors secreted from adipose tissue, which can in turn directly impair kidney cells and potentiate insulin resistance. In this study, we investigated the manifestation of renal lipid accumulation and its effect on renal dysfunction in a model of metabolic syndrome-the hereditary hypertriglyceridemic rat (HHTg)-by assessing microalbuminuria and targeted urinary proteomics. Male Wistar control rats and HHTg rats were fed a standard diet and observed over the course of ageing at 3, 12, and 20 months of age. Results: Chronically elevated levels of triglycerides in HHTg rats were associated with increased levels of NEFA during OGTT and over a period of 24 hours (+80%, P < 0.01). HHTg animals exhibited qualitative changes in NEFA fatty acid composition, represented by an increased proportion of saturated fatty acids (P < 0.05) and a decreased proportion of n-3 PUFA (P < 0.01). Ectopic lipid deposition in the kidneys of HHTg rats-triglycerides (+30%) and cholesterol (+10%)-was associated with markedly elevated microalbuminuria as ageing increased, despite the absence of microalbuminuria at the young age of 3 months in these animals. According to targeted proteomic analysis, 3-month-old HHTg rats (in comparison to age-matched controls) exhibited increased urinary secretion of proinflammatory parameters (MCP-1, IL-6, IL-8, P < 0.01) and decreased urinary secretion of epidermal growth factor (EGF, P < 0.01) before manifestation of microalbuminuria. Elevation in the urinary secretion of inflammatory cytokines can be affected by increased relative expression of MCP-1 in the renal cortex (P < 0.05). Conclusions: Our results confirm dyslipidemia and ectopic lipid accumulation to be key contributors in the development of metabolic syndrome-associated renal dysfunction. Assessing urinary secretion of proinflammatory cytokines and epidermal growth factor can help in detecting early development of metabolic syndrome-associated renal dysfunction.
650    _2
$a albuminurie $x etiologie $x moč $7 D000419
650    _2
$a zvířata $7 D000818
650    _2
$a biologické markery $x krev $x moč $7 D015415
650    _2
$a cytokiny $x moč $7 D016207
650    _2
$a modely nemocí na zvířatech $7 D004195
650    _2
$a časná diagnóza $7 D042241
650    _2
$a epidermální růstový faktor $x moč $7 D004815
650    _2
$a hypertriglyceridemie $x krev $x komplikace $x genetika $x moč $7 D015228
650    _2
$a mediátory zánětu $x moč $7 D018836
650    _2
$a nemoci ledvin $x krev $x etiologie $x moč $7 D007674
650    _2
$a lipidy $x krev $7 D008055
650    _2
$a mužské pohlaví $7 D008297
650    _2
$a metabolický syndrom $x krev $x komplikace $x genetika $x moč $7 D024821
650    _2
$a prediktivní hodnota testů $7 D011237
650    12
$a proteomika $7 D040901
650    _2
$a potkani transgenní $7 D055647
650    _2
$a potkani Wistar $7 D017208
650    _2
$a časové faktory $7 D013997
650    _2
$a analýza moči $7 D016482
655    _2
$a časopisecké články $7 D016428
700    1_
$a Miklankova, Denisa $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
700    1_
$a Hüttl, Martina $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
700    1_
$a Kacer, Petr $u Czech University of Life Sciences, 16500 Prague, Czech Republic.
700    1_
$a Skibova, Jelena $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
700    1_
$a Kucera, Jan $u Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, 25250 Vestec, Czech Republic.
700    1_
$a Sedlacek, Radislav $u Czech Centre for Phenogenomics, Institute of Molecular Genetics of the Czech Academy of Sciences, 25250 Vestec, Czech Republic.
700    1_
$a Kacerova, Tereza $u Department of Chemistry, University College London, London WC1H 0AJ, UK.
700    1_
$a Kazdová, Ludmila, $d 1938-2025 $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic. $7 xx0053119
700    1_
$a Malinska, Hana $u Centre for Experimental Medicine, Institute for Clinical and Experimental Medicine, 14021 Prague, Czech Republic.
773    0_
$w MED00181720 $t Journal of diabetes research $x 2314-6753 $g Roč. 2019 (20191206), s. 8712979
856    41
$u https://pubmed.ncbi.nlm.nih.gov/31886287 $y Pubmed
910    __
$a ABA008 $b sig $c sign $y a $z 0
990    __
$a 20201125 $b ABA008
991    __
$a 20250618142104 $b ABA008
999    __
$a ok $b bmc $g 1595667 $s 1114024
BAS    __
$a 3
BAS    __
$a PreBMC
BMC    __
$a 2019 $b 2019 $c - $d 8712979 $e 20191206 $i 2314-6753 $m Journal of diabetes research $n J Diabetes Res $x MED00181720
LZP    __
$a Pubmed-20201125

Find record

Citation metrics

Loading data ...

Archiving options

Loading data ...