Kidney function and glucose metabolism in overweight and obese cats

Pérez-López, Laura; Boronat, Mauro; Melián, Carlos; Brito‐Casillas, Yeray; Wägner, Ana M.

doi:10.1080/01652176.2020.1759844

Cited by 5 publications

(9 citation statements)

References 41 publications

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“…Neither did these markers differ between cats with BCS = 5 and cats with BCS > 5. Therefore, the results of this prospective study add to previous reports that suggest that overweight does not have a relevant influence on kidney function in healthy cats (Greene et al., 2014 ; Pérez‐López et al., 2019 ). A retrospective, epidemiological study reported that, after ruling out dehydration, cats with greater body weight were less likely to develop CKD (Greene et al., 2014 ).…”

Section: Discussionsupporting

confidence: 78%

“…The owners participated voluntarily after signing an informed consent form. Exclusion and inclusion criteria were the same as described previously in a cross‐sectional study undertaken with the same animals (Pérez‐López et al., 2019 ). Briefly, cats with CKD, diabetes or other disorders were excluded.…”

Section: Methodsmentioning

confidence: 99%

“…The role of obesity on the development of CKD has been considered to be minor. Recently, one study showed that neither concentrations of SDMA nor other serum or urinary renal markers were different between cats with normal body condition score (BCS) and cats with a BCS > 5 (1–9), suggesting that obesity might not have an effect on CKD (Pérez‐López et al., 2019 ). Similarly, one retrospective epidemiological study reported that, after ruling out dehydration, cats with greater body weight were less likely to develop CKD (Greene et al., 2014 ).…”

Section: Introductionmentioning

confidence: 99%

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Short‐term evaluation of renal markers in overweight adult cats

Pérez-López

Boronat

Melián

et al. 2023

Veterinary Medicine & Sci

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Background: Obesity has been proposed as an independently risk factor for chronic kidney disease (CKD) in people, but its role in feline kidney function is unknown.Objective: Obesity has been proposed as an independent risk factor for chronic kidney disease (CKD) in people, but its role in feline kidney function is unknown. This study prospectively evaluated the effect of overweight on the concentration of symmetric dimethylarginine (SDMA) and creatinine in a cohort of healthy cats.Methods: Forty healthy adult cats were included, 14 with a body condition score (BCS) = 5 and 26 with a BCS > 5. Cats were examined every 6 months, for up to 12 months. SDMA and creatinine were measured at baseline and follow-up.Results: No effect was found for time of follow-up (p = 0.072), overweight (p = 0.9442) or their interaction (p = 0.902) on SDMA, though a significant effect was found for age (p < 0.001) [older cats showing higher SDMA] and sex (p = 0.007) [male cats showing higher SDMA]. Regarding creatinine, no effect for time (p = 0.671), age (p = 0.061), overweight (p = 0.319) or the latter's interaction (p = 0.386) were found. Conclusions:In the short term, markers of renal function did not show an association with overweight. The role of obesity in feline kidney function still warrants further evaluation.

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Section: Discussionsupporting

confidence: 78%

Section: Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Short‐term evaluation of renal markers in overweight adult cats

Pérez-López

Boronat

Melián

et al. 2023

Veterinary Medicine & Sci

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“…This study was part of a larger, more extensive study. 14 This study was approved by the Animal Welfare Ethics Committee, ULPGC, Spain (reference number 10/2018). Cats were recruited after owners voluntarily signed an informed consent form.…”

Section: Selection Of Animals and Study Designmentioning

confidence: 99%

Ultrasonographic evaluation of adrenal gland size in two body weight categories of healthy adult cats

Pérez-López

Wägner

Saavedra

et al. 2020

Journal of Feline Medicine and Surgery

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Objectives Adrenal gland size and its association with body weight have been rarely evaluated in cats. This study was undertaken to assess the association between feline body weight and adrenal gland thickness, and to propose reference intervals (RIs) for adrenal gland thickness in healthy cats. Methods This was a cross-sectional study in which 39 healthy cats were included. The cats were divided into two weight categories, classified as ⩽4.0 kg and >4–8 kg of ideal body weight (with 13 and 26 cats in each group, respectively), which took into consideration the body condition score of the cats. All cats underwent an ultrasound examination that was taken from a subcostal position. Maximum dorsoventral thicknesses of the left (MTL) and right (MTR) adrenal glands were measured in a sagittal plane. RIs were obtained for the maximum thickness (MT), which included the MTLs and MTRs of each cat. RIs with the 90% confidence intervals were calculated according to American Society for Veterinary Clinical Pathology guidelines on RIs. Results No statistical differences for adrenal gland thickness were observed between the left and right ( P = 0.543) adrenal glands or between male and female cats ( P = 0.943). Mean MT was significantly greater in the group of cats weighing >4–8 kg compared with the group of cats weighing ⩽4 kg (3.7 ± 0.6 vs 3.2 ± 0.4 mm; P <0.005). The lower limit of the RI for MT was 2.4 mm (range 2.2–2.6 mm) in the group weighing ⩽4 kg and 2.6 mm (range 2.4–2.8 mm) in the group weighing >4–8 kg. The upper limit of the RI for MT was 3.9 mm (range 3.7–4.1 mm) in the group of cats weighing ⩽4 kg and 4.8 mm (range 4.6–5.1 mm) in the group of cats weighing >4–8 kg. Conclusions and relevance The use of RIs based on two group sizes allows for a more accurate ultrasonographic evaluation of adrenal gland thickness in cats. The maximum normal adrenal gland thickness is lower in smaller cats (3.9 mm for those weighing ⩽4 kg and 4.8 mm for those weighing >4–8 kg).

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“…Those correlations emerged only after adjustment for ppBMI, which could be explained by the fact that ppBMI influences this association, as previously seen by a group of non-pregnant participants [ 57 ]. After accounting for albumin, the significance of the observed associations was lost, which has already been observed in overweight and obese animal models [ 59 ]. Finally, it should be noted that much weaker correlations were observed between fasting glucose and fructosamine levels than between markers of insulin resistance and fructosamine levels.…”

Section: Discussionmentioning

confidence: 99%

Trimester-Specific Serum Fructosamine in Association with Abdominal Adiposity, Insulin Resistance, and Inflammation in Healthy Pregnant Individuals

et al. 2022

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This study aimed to (1) characterize the variations in serum fructosamine across trimesters and according to pre-pregnancy BMI (ppBMI), and (2) examine associations between fructosamine and adiposity/metabolic markers (ppBMI, first-trimester adiposity, leptin, glucose homeostasis, and inflammation measurements) during pregnancy. Serum fructosamine, albumin, fasting glucose and insulin, leptin, adiponectin, interleukin-6 (IL-6), and C-reactive protein (CRP) concentrations were measured at each trimester. In the first trimester, subcutaneous (SAT) and visceral (VAT) adipose tissue thicknesses were estimated by ultrasound. In the 101 healthy pregnant individuals included (age: 32.2 ± 3.5 y.o.; ppBMI: 25.5 ± 5.5 kg/m2), fructosamine concentrations decreased during pregnancy whereas albumin-corrected fructosamine concentrations increased (p < 0.0001 for both). Notably, fructosamine concentrations were inversely associated with ppBMI, first-trimester SAT, VAT, and leptin (r = −0.55, r = −0.61, r = −0.48, r = −0.47, respectively; p < 0.0001 for all), first-trimester fasting insulin and HOMA-IR (r = −0.46, r = −0.46; p < 0.0001 for both), and first-trimester IL-6 (r = −0.38, p < 0.01). However, once corrected for albumin, most of the correlations lost strength. Once adjusted for ppBMI, fructosamine concentrations were positively associated with third-trimester fasting glucose and CRP (r = 0.24, r = 0.27; p < 0.05 for both). In conclusion, serum fructosamine is inversely associated with adiposity before and during pregnancy, with markers of glucose homeostasis and inflammation, but the latter associations are partially influenced by albumin concentrations and ppBMI.

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Kidney function and glucose metabolism in overweight and obese cats

Cited by 5 publications

References 41 publications

Short‐term evaluation of renal markers in overweight adult cats

Short‐term evaluation of renal markers in overweight adult cats

Ultrasonographic evaluation of adrenal gland size in two body weight categories of healthy adult cats

Trimester-Specific Serum Fructosamine in Association with Abdominal Adiposity, Insulin Resistance, and Inflammation in Healthy Pregnant Individuals

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