Research ArticleExperimental Studies

Effects of Diets with Different Proportions of Protein/Carbohydrate on Retinal Manifestations in db Mice

EMI ARIMURA, HIDEAKI OKATANI, TOMOAKI ARAKI, MIHARU USHIKAI, MIWA NAKAKUMA, MASAHARU ABE, HIROAKI KAWAGUCHI, HIROYUKI IZUMI and MASAHISA HORIUCHI
In Vivo March 2018, 32 (2) 265-272;

Abstract

Background/Aim: Diabetic nephropathy is aggravated by a higher intake of total protein. The effects of diets with different proportions of protein and carbohydrate on diabetic retinopathy in db mice, a type-2 diabetes animal model, were examined, as well as diabetic nephropathy. Materials and Methods: Control and db mice at 5 weeks of age were fed the diets (% energy of protein/carbohydrate/fat; L-diet: 12/71/17; H-diet: 24/59/17) under ad libitum conditions and pair-feeding conditions for 6 weeks, respectively. Results: Mice fed the H-diet showed significantly greater retinal thickness by optical coherence tomography, and lower mRNA levels of angiotensinogen. Comparing combinations of diets and genotypes, db-H mice showed significantly higher mRNA levels of angiotensin-converting enzyme, advanced glycosylation end product-specific receptor, and cluster of differentiation molecule 11b (a microglial marker) than db-L mice. Conclusion: Dietary protein and carbohydrate proportions influenced retinal manifestations, including retinal thickness and gene expression in control and diabetic mice.

Diabetic retinopathy is one of the three major complications of diabetes, and it is the leading cause of visual impairment and blindness among adults (1). A recent epidemiological study found diabetic retinopathy prevalence to be 34.6% for individuals with diabetes (2). In the Wisconsin Epidemiological Study of Diabetic Retinopathy, microalbuminuria, representing nephropathy, was associated with the presence of retinopathy in individuals with diabetes (3). The recent rise in the numbers of diabetes and diabetic retinopathy cases worldwide is likely to be related to lifestyle/life environment rather than genetic factors, as a global genetic diversity has not changed appreciably over this short period of time (4-7). Lifestyle factors, including nutrition, have been altered markedly in recent decades (8, 9). Diabetic nephropathy is aggravated by higher intake of total protein (10, 11). However, the impact of altered nutrition, especially protein content, on the development of diabetic retinopathy is not fully understood (10, 11, 12).

Glycemic control and blood pressure control reduce the progression of diabetic retinopathy, and ophthalmological treatment including laser applications plays a prominent role in the control of diabetic retinopathy. However, currently there are no drugs that inhibit the onset or progression of diabetic retinopathy, except for inhibitors of the renin-angiotensin (RA) system (13-17). Regarding nutritional intervention, patients with diabetic retinopathy have been managed by a low-energy diet of suppressed carbohydrate intake and relatively high-protein intake, but the influence of diet on the pathophysiology of retinopathy is not fully understood. A rodent study of diabetic nephropathy reported an additive effect of RA system inhibitors and a low-protein diet on kidney manifestations (18). A low-protein diet may have additional beneficial effects through suppressed expression of genes involved in the kidney RA system. The effect of dietary protein content diets (12-24% energy), which is the range in regular human diets (4, 8), on glucose levels and renal manifestations in db mice (19, 20), an animal model for diabetes with leptin-receptor deficiency. In the experiments using db mice, a high-protein, low-carbohydrate diet increased blood glucose levels and exacerbated renal manifestations, compared with a low-protein, high-carbohydrate diet (21, 22). The dietary protein content should be examined for its influences on the retina as well as the kidney, because of the beneficial effects of RA system inhibitors on nephropathy and retinopathy caused by diabetes. A cross-sectional observation revealed that diabetic patients with retinopathy showed higher intake of protein than diabetic patients without retinopathy (23). However, this finding remains to be confirmed because only a monovariate statistical procedure was performed without consideration of confounding factors.

In the present study, we evaluated the impacts of dietary protein content on retinal manifestations in db mice, an animal model representing retinal neurodegenerative changes in the early period of diabetes (24). We examined morphological changes using optical coherence tomography, and alteration of expression of neuronal and glial marker genes and of genes involved in the RA system.

Materials and Methods

Animals. Male diabetic mice [C57BLKS(BKS). Cg-+ Leprdb/+ Leprdb/J; db, diabetic], having a homozygous mutation of the leptin receptor, and control mice (BKS.Cg-Dock7m +/ Dock7m +/J; CT, control) at 4 weeks of age were obtained from Charles River Japan (Kanagawa, Japan) (24-26). The mice were housed individually in a humidity and temperature-controlled facility (50±20%, 22±3°C) under a 12 h light/dark cycle (light from 0700-1900) in the animal facility of Shin Nippon Biomedical Laboratories, Ltd. All mice had ad libitum access to water, and CT mice had ad libitum access to food. db mice were subject to pair-feeding conditions during the experimental period.

Experimental design. Twelve CT and 12 db mice purchased at 4 weeks of age were used. Under ad libitum conditions, the CT mice were acclimatized to their surroundings for one week. They were then randomly separated into two groups (N=6), each supplied with a different diet for 6 weeks. The diets were as follows: 12% energy from protein (L-diet; low-protein, high-carbohydrate: 12% protein, 71% carbohydrate, 17% fat), and 24% energy from protein (H-diet; high-protein, low-carbohydrate: 24% protein, 59% carbohydrate, 17% fat). The protein sources of the two diets were composed of 50% animal and 50% plant protein (Table I). Under pair-feeding conditions, db mice were supplied with the same amount of H-diet (db-H) as the amount of L-diet consumed by db-L mice, resulting in the consumption of similar fat content. The body weight (BW) and intake of food and water were measured every week during morning and afternoon periods, respectively. We measured food and water intake by subtracting the remaining quantities from the amounts supplied (weight). On the last day of the experiments, the mice were anesthetized by pentobarbital (32.4 mg/kg) and then as much blood as possible was collected from the heart using a syringe containing EDTA-2K (10 μl of 200 mM). The blood was centrifuged, and then the supernatant was stored at −80°C. Tissues and organs, including, kidneys, liver, pancreas, and heart were removed, and then weighed. Retinas were dissected and immediately frozen in liquid nitrogen. All tissues were then stored at −80°C until analysis.

Optical coherence tomography. We scanned the retinal layers with optical coherence tomography (Spectralis, Heidelberg Engineering GmbH, MA, USA) under non-anesthetized conditions with Mydrin-P ophthalmic solution for mydriasis (tropicamide and phenylephrine; Santen Pharmaceuticals, Osaka, Japan). We investigated retinal thickness by taking tomographic images of the ocular fundi. Total retinal thickness was measured in an area of 1.0 mm in diameter centered on the optic nerve head of mice at 11 weeks of age (24).

Biochemical measurements. Blood glucose (BG) and urinary glucose (UG) were measured using a commercial kit (glucose CII-test Wako; WAKO, Tokyo, Japan) according to the manufacturer's instructions. Urine was taken during the morning period. Urinary C-peptide and plasma insulin were measured using respective ELISA kits (Yanaihara Institute, Shizuoka, Japan; Morinaga Institute of Biological Science, Kanagawa, Japan). HbA1c was measured by an immunoassay (DCA 2000 system; Bayer Healthcare LLC, NJ, USA). Aldosterone was measured (Clinical Pathology Laboratory Co., Kagoshima, Japan).

Real-time PCR for quantification of mRNA. Frozen retinas were used for isolation of total RNA. Isolated RNA was treated with DNase to remove genomic contamination. First-strand cDNA synthesis was performed using 5 μg total RNA with an oligo-(dT)20 primer following the manufacturer's instructions (Invitrogen, Carlsbad, CA, USA). Real-time quantitative PCR was performed using SYBR-green on a TAKARA detection system (TAKARA, Shiga, Japan) under the conditions recommended by the manufacturer. The primer sequences were as follows (27-33): angiotensinogen (Agt, NM_007428), forward: 5’-GGC CGC CGA GAA GCT AGA-3’ and reverse: 5’-GGC TGG CCG TGG GAT CTA-3’; renin (Renin, NM_031192), forward: 5’-GCC GCC TCT ACC TTG CTT GTG-3’ and reverse: 5’ GGG GCA GCT CGG TGA CCT CT-3’; angiotensin I converting enzyme (Ace, NM_207624), forward: 5’-AGG GAA CAT GTG GGC GCA GAC-3’ and reverse: 5’-CGG TGG GCT TCT CTA ACA TCG A-3’; advanced glycosylation end product-specific receptor (Ager, NM_007425), forward: 5’-TGA GGA GAG GAA GGC CCC G-3’ and reverse: 5’-GCC ATC ACA CAG GCT CGA TC-3’; neuronal nuclei (NeuN, NM_001039167), as a marker of neural cells, forward: 5’-GAG GAG TGG CCC GTT CTG-3’ and reverse: 5’-AGG CGG AGG AGG GTACTG-3’; glial fibrillary acidic protein (Gfap, NM_010277), as a marker of astrocytes, forward: 5’-GAA CAA CCT GGC TGC GTA TA-3’ and reverse: 5’-GCG ATT CAA CCT TTC TCT CC-3’; cluster of differentiation molecule 11b (CD11b, NM_001082960), as a marker of microglial cells, forward: 5’-GAT CAA CAA TGT GAC CGT ATG-3’ and reverse: 5’-GAT CCC GGA AAT TGG AGT GAG-3’; glyceraldehyde 3-phosphate dehydrogenase (Gapdh, NM_008084), forward: 5’-CCG CAT CTT CTT GTG CAG TGC C-3’ and reverse: 5’-GGG GTC GTT GAT GGC AAC AAT CTC-3’.

We measured mRNA levels of the genes involved in the development of diabetic retinopathy. The relative level of mRNA was calculated using cycle time (Ct) values, which were normalized against the value of Gapdh. Relative quantification (fold change) between different samples was then determined according to the 2−ΔΔCt method. The level of mRNAs in CT-L mice was set at 1.00.

Data analysis. Values are shown as means±or + standard error (SE). Statistical analysis was performed using two-way (repeated measurement or factorial) analysis of variance (ANOVA) as appropriate (34). Significant differences were determined using the t-test (Ekuseru-Toukei 2010, Social Survey Research Information, Tokyo, Japan; SPSS Medical Model, ver. 24, International Business Machines Corporation, Tokyo, Japan). Differences with p<0.05 were considered significant.

View this table:
Table I.

Composition of the diets used in the experiments.

Results

Food and water intake, body weight and organ weight. db-L and -H mice showed significantly higher BW than CT-L and -H mice during the experiments, respectively. There was no significant difference in BW among db or CT mice fed the different diets (Figure 1A). Additionally, there was no significant difference in BW change during the experiments between db or CT mice fed the different diets (db-L: 10.9±2.0 g, db-H: 10.6±1.8 g, p=0.899; CT-L: 7.0±0.6 g, CT-H: 6.0±0.4 g, p=0.248). For water intake during the period, db-L and -H mice showed significantly higher intake compared with CT-L and -H mice, respectively. There was no significant difference in water intake among db or CT mice fed the different diets (Figure 1B). As shown in Figure 1C, db mice ate almost twice as much food during the experimental period as CT mice under both diet conditions. Two-way ANOVA showed that db mice had significantly higher kidney weight than CT mice. As shown in Table II, H-diet mice, regardless of genotype, showed significantly higher kidney weight than L-diet mice. Unpaired t-test analysis showed that db-H mice had significantly lower pancreas weight than CT-H mice. There was no significant difference in pancreas weight between db-L and db-H mice, whereas CT-H mice showed significantly higher pancreas weight compared to CT-L mice.

Figure 1.
Figure 1.

Change of body weight and water intake in control (CT) and db mice with different diet conditions. Body weight (A) and water intake (B) of CT (open symbol) and db (closed symbol) mice fed with the different diets (low protein: triangle, high protein: circle) for 6 weeks. The total amounts of food eaten by CT (open symbol) and db (closed symbol) mice fed with a low protein diet (L) or a high protein diet (H) are shown in (C). The data are presented as means+SE from six db and six CT mice under the different diet conditions. Data were analyzed statistically by two-way ANOVA (repeated measurements) (A and B) or unpaired t-test (C). *p<0.05 compared to CT mice fed with the respective diet.

View this table:
Table II.

Effect of diets on organ weights, blood and urinary parameters in CT and db mice.

Optical coherence tomography. There was no significant effect of genotype on total retinal thickness (Table II). However, regardless of genotype, mice fed the H-diet had significantly higher retinal thickness compared with mice fed the L-diet.

Biochemical parameters. We examined BG and UG in db and CT mice at 11 weeks of age. For BG and UG levels, db-L and -H mice showed significantly higher values than CT-L and -H mice, respectively (Table II). There was no significant difference in BG and UG levels between db or CT mice fed the different diets. For urinary C-peptide levels, db-L and -H mice showed significantly higher values than CT mice fed the same diets. There was no significant difference in urinary C-peptide levels between db or CT mice fed the different diets. For plasma insulin levels, db-H mice showed significantly higher values than CT-H mice (Table II) and db-H mice showed significantly higher values than db-L mice. We examined HbA1c in db and CT mice at 11 weeks of age. There was a tendency of a higher HbA1c value in CT-H mice compared with CT-L mice, although it did not reach significance (p=0.061). On the other hand, we were not able to accurately measure HbA1c because the values exceeded the upper limit of the test in db mice. For aldosterone levels, db-L and -H mice showed significantly higher values than CT-L and -H mice, respectively. There was no significant difference in aldosterone levels between db or CT mice fed the different diets.

Real-time PCR for quantification of mRNA. We measured mRNA levels of genes involved in the development of diabetic retinopathy. The genes Agt, Renin and Ace, belonging to the RA system and Neun, Gfap, and CD11b, expressed in the nervous system and Ager were examined (Figure 2).

There was no significant difference in Agt expression between db or CT mice fed the different diets. db-H mice showed significantly lower Agt expression compared with db-L mice. For Ace expression, db-H mice showed significantly higher levels compared with CT-H mice. db-H mice showed significantly higher Ace expression compared to db-L mice. However, Renin was not able to be evaluated because its measurement was inconclusive (data not shown). For Ager expression, db-H mice showed significantly higher values compared with CT-H mice. Moreover, db-H mice showed significantly higher Ager expression compared with db-L mice.

Figure 2.
Figure 2.

Messenger RNA levels of genes related to the renin-angiotensin system, diabetic conditions, and of neuronal and glial marker genes. Messenger RNA levels of Agt (A), Ace (B), Ager (C), NeuN (D), Gfap (E), and CD11b (F) in control (CT, open symbol) and db (closed symbol) mice fed with a low protein diet (L) or a high protein diet (H) at 11 weeks of age. The data are presented as means+SE from six db and six CT mice under the respective conditions. The p-values from two-way ANOVA (two factors: diet and genotype) are shown at the left and upper portion of each figure. Diet x Genotype means the interaction between diet and genotype. The level of gene expression in CT-L mice was set at 1.0 using Gapdh as a reference gene. The data were analyzed statistically by the unpaired t-test. *p<0.05 compared with CT mice fed with the respective diet. #p<0.05 compared to the same genotype mice fed the L diet.

There was no significant effect of the different diet types on Neun expression in the CT and db mice. There was no significant difference in Neun expression between db or CT mice fed the different diets.

For Gfap expression, db mice, regardless of diet, showed significantly higher levels compared with CT mice. db-H mice showed significantly higher values than CT-H mice. There was no significant difference in Gfap expression between db or CT mice fed the different diets. Whereas there was no significant difference in CD11b expression between CT mice fed the different diets, db-H mice showed significantly higher CD11b expression compared with db-L mice.

Discussion

The present study revealed the impact of dietary protein and carbohydrate content on retinal manifestations in db mice, an animal model of type 2 diabetes under pair-feeding conditions (equivalent energy and fat in L- and H-diets). We showed that a high-protein low-carbohydrate diet in db mice affected retinal manifestations, including the expression of the genes, Ace, Ager, and CD11b. Additionally, mice fed a high protein diet, regardless of genotype, showed significantly higher retinal thickness values by optical coherence tomography and the lower expression of Agt.

There are many animal models with diabetic retinopathy (35). Of them, db mice are deficient in the leptin receptor and show retinopathy and nephropathy caused by type 2 diabetes (24-26). The diabetic nephropathy and glucose metabolism abnormality in db mice are aggravated by a high protein content diet (21, 22). In the present study, db mice were used to evaluate the effects of dietary protein and carbohydrate content on diabetic retinopathy. To evaluate the effect of dietary protein and carbohydrate, energy intake in both db and CT mice was set to be the same for both diets. Therefore, as a pair-feed experiment, the amount of food consumed by db mice fed the low protein diet was applied to db mice fed the high protein diet. In CT mice, mice fed the low or high protein diet ate similar amounts even under ad libitum conditions. As a result, db mice consumed about twice the amount of food compared with CT mice (Figure 1C). db Mice showed higher blood glucose and HbA1c levels compared with CT mice, regardless of diet. Over 6 weeks, db mice fed the high protein diet showed a tendency of decreased BW; therefore, we chose the experimental period to be 6 weeks. At that moment, optical coherence tomography examination did not show thinning of retinal layers in db mice, which has been reported in diabetic retinopathy (24). This means that db mice in the experimental period show the initial phase of retinal manifestations before the onset of morphological abnormality.

We initially examined gene expression in the retina of db mice fed the different diets. Alterations of gene expression in diabetic retinopathy have been reported and corresponded to proliferation of astrocytes and/or microglia (36-38). In the present study, db-H and -L showed higher mRNA levels of Gfap compared with CT-H and -L, respectively. This finding indicates that higher Gfap expression may correspond to the diabetic condition, but that it is not greatly influenced by the different protein and carbohydrate content diets, even in db mice. Although morphological change was not apparent, the higher expression of Gfap (as a retinal astrocyte marker) under diabetic conditions is consistent with previous reports (36-38). Moreover, db-H showed significantly higher levels of CD11b mRNA, a microglial marker, than db-L, suggesting that a higher dietary protein content may influence the proliferation of microglia. On the other hand, NeuN, a neuronal cell marker, was similar in db and CT mice fed either diet. In addition, genes related to the RA system were examined because RA system inhibitors can protect against diabetic retinopathy (13-17); however, results were somewhat complicated. For the high protein diet, Agt mRNA levels were significantly lower compared with low protein diet conditions. On the other hand, levels of Ace mRNA were significantly higher in db-H than db-L mice. Up- or down-regulation of RA system activity does not have to result from alterations in mRNA levels only; the level of protein and activity in the RA system should also be examined. However, inhibitors of the RA system are effective against diabetic retinopathy (13-17). RA system inhibitors can act through inhibition of ligand production or inhibition of receptor action. The expression of Ace is likely to contribute to Ace protein levels, which may inhibit the RA system. Ager mRNA levels are higher in db-H mice than db-L mice, suggesting that glycated proteins resulting from higher blood glucose may enhance signaling through induction of AGER protein expression. Under diabetic conditions, expression of CD11b, Ace, and Ager in the retina was upregulated by different dietary protein and carbohydrate contents, whereas Agt expression was downregulated in high protein diet conditions regardless of genotypes. db Mice under the different dietary conditions showed similar blood glucose and HbA1c levels, indicating that alterations in the expression of the above genes may not be explained by higher blood glucose alone. An endocrinological change may have resulted from the different protein content and may involve glucagon and vasopressin (39).

Specific nutritional intervention for diabetic retinopathy has not been performed; however, restriction of dietary protein intake has been performed for diabetic nephropathy (10, 11). Nutritional-based approaches have a high potential to be developed as adjunct intervention for the occurrence or progression of diabetic retinopathy in the initial stages. Nutritional intervention can serve as a non-invasive and cost-effective treatment (40). As a general nutritional intervention for diabetic retinopathy, to prevent increased blood glucose and blood pressure, restriction of energy intake and salt intake has been considered (40). For Japanese food, a restriction of energy intake, for example by decreased intake of the staple food rice, may lead to a higher protein intake. In the present study, the proportion of protein and carbohydrate in a diet influenced retinal manifestations in control and diabetic mice, such as retinal thickness and gene expression. Further examination is necessary to explain the pathophysiological consequences of the gene expression altered by the diets. However, the present study was informative for considering specific nutritional intervention of diabetic retinopathy.

Acknowledgements

This work was supported by grants from the Ministry of Education, Culture, Sports, Science, and Technology in Japan (#25350873 to E. A.) and by the Kodama Memorial Fund for Medical Research. The Authors thank the Joint Research Laboratory, Kagoshima University Graduate School of Medical and Dental Sciences for the use of its facilities. The Authors would also like to thank Edanz Group Ltd. for editing the manuscript.

Footnotes

  • This article is freely accessible online.

  • Received November 29, 2017.
  • Revision received December 19, 2017.
  • Accepted December 20, 2017.

References

  1. ↵
    1. Song MK,
    2. Roufogalis BD,
    3. Huang TH
    : Modulation of diabetic retinopathy pathophysiology by natural medicines through PPAR-γ-related pharmacology. Br J Pharmacol 165: 4-19, 2012.
    OpenUrlCrossRefPubMed
  2. ↵
    1. Yau JW,
    2. Rogers SL,
    3. Kawasaki R,
    4. Lamoureux EL,
    5. Kowalski JW,
    6. Bek T
    : Global prevalence and major risk factors of diabetic retinopathy. Diabetic Care 35: 556-564, 2012.
    OpenUrl
  3. ↵
    1. Cruickshanks KJ,
    2. Ritter LL,
    3. Klein R,
    4. Moss SE
    : The association of microalbuminuria with diabetic retinopathy: The Wisconsin Epidemiologic Study of Diabetic Retinopathy. Ophthalmology 100: 862-867, 1993.
    OpenUrlPubMed
  4. ↵
    1. Zimmet P,
    2. Alberti KG,
    3. Shaw J
    : Global and societal implications of the diabetes epidemic. Nature 414: 782-787, 2001.
    OpenUrlCrossRefPubMed
    1. Sone H,
    2. Katagiri A,
    3. Ishibashi S,
    4. Abe R,
    5. Saito Y,
    6. Murase T,
    7. Yamashita H,
    8. Yajima Y,
    9. Ito H,
    10. Ohashi Y,
    11. Akanuma Y,
    12. Yamada N,
    13. JD Study Group
    : Effects of lifestyle modifications on patients with type 2 diabetes: the Japan Diabetes Complications Study (JDCS) study design, baseline analysis and three year-interim report. Horm Metab Res 34: 509-515, 2002.
    OpenUrlCrossRefPubMed
    1. Magkos F,
    2. Yannakoulia M,
    3. Chan JL,
    4. Mantzoros CS
    : Management of the metabolic syndrome and type 2 diabetes through lifestyle modification. Annu Rev Nutr 29: 223-256, 2009.
    OpenUrlCrossRefPubMed
  7. ↵
    1. Inadera H
    : Developmental origins of obesity and type 2 diabetes: molecular aspects and role of chemicals. Environ Health Prev Med 18: 185-197, 2013.
    OpenUrlCrossRefPubMed
  8. ↵
    1. Tsunehara CH,
    2. Leonetti DL,
    3. Fujimoto WY
    : Diet of second-generation Japanese-American men with and without non-insulin-dependent diabetes. Am J Clin Nutr 52: 731-738, 1990.
    OpenUrlAbstract/FREE Full Text
  9. ↵
    1. Nanri A,
    2. Mizoue T,
    3. Noda M,
    4. Takahashi Y,
    5. Kato M,
    6. Inoue M,
    7. Tsugane S,
    8. Japan Public Health Center-based Prospective Study Group
    : Rice intake and type 2 diabetes in Japanese men and women: the Japan public health center-based prospective study. Am J Clin Nutr 92: 1468-1477, 2010.
    OpenUrlAbstract/FREE Full Text
  10. ↵
    1. Layman DK,
    2. Clifton P,
    3. Gannon MC,
    4. Krauss RM,
    5. Nuttall FQ
    : Protein in optimal health: heart disease and type 2 diabetes. Am J Clin Nutr 87: 1571S-1575S, 2008.
    OpenUrlAbstract/FREE Full Text
  11. ↵
    1. Pan Y,
    2. Guo LL,
    3. Jin HM
    : Low-protein diet for diabetic nephropathy: A meta-analysis of randomized controlled trials. Am J Clin Nutr 88: 660-666, 2008.
    OpenUrlAbstract/FREE Full Text
  12. ↵
    1. Rietman A,
    2. Schwarz J,
    3. Tomé D,
    4. Kok FJ,
    5. Mensink M
    : High dietary protein intake, reducing or eliciting insulin resistance? Eur J Clin Nutr 68: 973-979, 2014.
    OpenUrlCrossRefPubMed
  13. ↵
    1. Chaturvedi N,
    2. Sjølie AK,
    3. Stephenson JM,
    4. Abrahamian H,
    5. Keipes M,
    6. Castellarin A,
    7. Rogulja-Pepeonik Z,
    8. the EUCLID Study Group
    : Effect of lisinopril on progression of retinopathy in normotensive people with type 1 diabetes. Lancet 351: 28-31, 1998.
    OpenUrlCrossRefPubMed
    1. Chaturvedi N,
    2. Porta M,
    3. Klein R,
    4. Orchard T,
    5. Fuller J,
    6. Parving HH,
    7. Bilous R,
    8. Sjølie AK,
    9. the DIRECT Programme Study Group
    : Effect of candesartan on prevention (DIRECT-Prevent 1) and progression (DIRECT-Protect 1) of retinopathy in type 1 diabetes: randomized, placebo-controlled trials. Lancet 372: 1394-1402, 2008.
    OpenUrlCrossRefPubMed
    1. Sjølie AK,
    2. Klein R,
    3. Porta M,
    4. Orchard T,
    5. Fuller J,
    6. Parving HH,
    7. Bilous R,
    8. Chaturvedi N,
    9. the DIRECT Study Group
    : Effect of candesartan on progression and regression of retinopathy in type 2 diabetes (DIRECT-Protect 2): a randomized placebo-controlled trial. Lancet 372: 1385-1393, 2008.
    OpenUrlCrossRefPubMed
    1. Mauer M,
    2. Zinman B,
    3. Gardiner R,
    4. Suissa S,
    5. Sinaiko A,
    6. Strand T,
    7. Drummond K,
    8. Donnelly S,
    9. Goodyer P,
    10. Gubler MC,
    11. Klein R
    : Renal and retinal effects of enalapril and losartan in type 1 diabetes. N Engl J Med 361: 40-51, 2009.
    OpenUrlCrossRefPubMed
  17. ↵
    1. Harindhanavudhi T,
    2. Mauer M,
    3. Klein R,
    4. Zinman B,
    5. Sinaiko A,
    6. Caramori ML,
    7. the RASS group
    : Benefits of Renin-Angiotensin blockade on retinopathy in type 1 diabetes vary with glycemic control. Diabetes Care 34: 1838-1842, 2011.
    OpenUrlAbstract/FREE Full Text
  18. ↵
    1. Peters H,
    2. Border WA,
    3. Noble NA
    : Angiotensin II blockade and low-protein diet produce additive therapeutic effects in experimental glomerulonephritis. Kidney Int 57: 1493-1501, 2000.
    OpenUrlCrossRefPubMed
  19. ↵
    1. Shafrir E,
    2. Ziv E,
    3. Mosthaf L
    : Nutritionally induced insulin resistance and receptor defect leading to beta-cell failure in animal models. Ann NY Acad Sci 892: 223-246, 1999.
    OpenUrlCrossRefPubMed
  20. ↵
    1. Davis RC,
    2. Castellani LW,
    3. Hosseini M,
    4. Ben-Zeev O,
    5. Mao HZ,
    6. Weinstein MM,
    7. Jung DY,
    8. Jun JY,
    9. Kim JK,
    10. Lusis AJ,
    11. Péterfy M
    : Early hepatic insulin resistance precedes the onset of diabetes in obese C57BLKS-db/db mice. Diabetes 59: 1616-1625, 2010.
    OpenUrlAbstract/FREE Full Text
  21. ↵
    1. Arimura E,
    2. Horiuchi M,
    3. Kawaguchi H,
    4. Miyoshi N,
    5. Aoyama K,
    6. Takeuchi T
    : Low-protein diet improves blood and urinary glucose levels and renal manifestations of diabetes in C57BLKS-db/db mice. Eur J Nutr 52: 813-824, 2013.
    OpenUrl
  22. ↵
    1. Arimura E,
    2. Pulong WP,
    3. Marchianti ACN,
    4. Nakakuma M,
    5. Abe M,
    6. Ushikai M,
    7. Hroiuchi M
    : Deteriorated glucose metabolism with a high-protein, low-carbohydrate diet in db mice, an animal model of type 2 diabetes, might be caused by insufficient insulin secretion. Eur J Nutr 56: 237-246, 2017.
    OpenUrl
  23. ↵
    1. Roy MS,
    2. Stables G,
    3. Collier B,
    4. Roy A,
    5. Bou E
    : Nutritional factors in diabetics with and without retinopathy. Am J Clin Nutr 50: 728-730, 1989.
    OpenUrlAbstract/FREE Full Text
  24. ↵
    1. Yang Q,
    2. Xu Y,
    3. Xie P,
    4. Cheng H,
    5. Song Q,
    6. Su T,
    7. Yuan S,
    8. Liu Q
    : Retinal neurodegeneration in db/db mice at the early period of diabetes. J Ophthalmol 757412, 2015.
    1. Chen H,
    2. Charlat O,
    3. Tartaglia LA,
    4. Woolf EA,
    5. Weng X,
    6. Ellis SJ,
    7. Lakey ND,
    8. Culpepper J,
    9. More KJ,
    10. Breitbart RE,
    11. Duyk GM,
    12. Tepper RI,
    13. Morgenstern JP
    : Evidence that the diabetes gene encodes the leptin receptor: identification of a mutation in the leptin receptor gene in db/db mice. Cell 84: 491-495, 1996.
    OpenUrlCrossRefPubMed
  26. ↵
    1. Sharma K,
    2. McCue P,
    3. Dunn SR
    : Diabetic kidney disease in the db/db mouse. Am J Physiol Renal Physiol 284: F1138–F1144, 2003.
    OpenUrlCrossRefPubMed
  27. ↵
    1. Matsumoto M,
    2. Tanimoto M,
    3. Gohda T,
    4. Aoki T,
    5. Murakoshi M,
    6. Yamada K,
    7. Yamazaki T,
    8. Kaneko S,
    9. Horikoshi S,
    10. Tomino Y
    : Effect of pitavastatin on type 2 diabetes mellitus nephropathy in KK-Ay/Ta mice. Metabolism 57: 691-697, 2008.
    OpenUrlCrossRefPubMed
    1. Maezawa Y,
    2. Yokote K,
    3. Sonezaki K,
    4. Fujimoto M,
    5. Kobayashi K,
    6. Kawamura H,
    7. Tokuyama T,
    8. Takemoto M,
    9. Ueda S,
    10. Kuwaki T,
    11. Mori S,
    12. Wahren J,
    13. Saito Y
    : Influence of C-peptide on early glomerular changes in diabetic mice. Diabetes Metab Res Rev 22: 313-322, 2006.
    OpenUrlCrossRefPubMed
    1. Reich HN,
    2. Oudit GY,
    3. Penninger JM,
    4. Scholey JW,
    5. Herzenberg AM
    : Decreased glomerular and tubular expression of ACE2 in patients with type 2 diabetes and kidney disease. Kidney Int 74: 1610-1616, 2008.
    OpenUrlCrossRefPubMed
    1. Juárez P,
    2. Vilchis-Landeros MM,
    3. Ponce-Coria J,
    4. Mendoza V,
    5. Hernández-Pando R,
    6. Bobadilla NA,
    7. López-Casillas F
    : Soluble betaglycan reduces renal damage progression in db/db mice. Am J Physiol Renal Physiol 292: F321-F329, 2007.
    OpenUrlCrossRefPubMed
    1. Wang HY,
    2. Hsieh PF,
    3. Huang DF,
    4. Chin PS,
    5. Chou CH,
    6. Tung CC,
    7. Chen SY,
    8. Lee LJ,
    9. Gau SSF,
    10. Huang HS
    : RBFOX3/NeuN is required for hippocampal circuit balance and function. Sci Rep 5: 17383, 2015.
    OpenUrl
    1. Rusnakova V,
    2. Honsa P,
    3. Dzamba D,
    4. Ståhlberg A,
    5. Kubista M,
    6. Anderova M
    : Heterogeneity of astrocytes: from development to injury – single cell gene expression. PloS ONE 8: e69734, 2013.
    OpenUrlCrossRefPubMed
  33. ↵
    1. Wu X,
    2. He Y,
    3. Hsuchou H,
    4. Kastin AJ,
    5. Rood JC,
    6. Pan W
    : Essential role of interleukin-15 receptor in normal anxiety behavior. Brain Behav Immun 24: 1340-1346, 2010.
    OpenUrlCrossRefPubMed
  34. ↵
    1. Motyl KJ,
    2. Raetz M,
    3. Tekalur SA,
    4. Schwartz RC,
    5. McCabe LR
    : CCAAT/enhancer binding protein β-deficiency enhances type 1 diabetic bone phenotype by increasing marrow adiposity and bone resorption. Am J Physiol Regul Integr Comp Physiol 300: R1250-R1260, 2011.
    OpenUrlCrossRefPubMed
  35. ↵
    1. Mi XS,
    2. Yuan TF,
    3. Ding Y,
    4. Zhong JX,
    5. So KF
    : Choosing preclinical study models of diabetic retinopathy: key problems for consideration. Drug Des Devel Ther 18: 2311-2319, 2014.
    OpenUrl
  36. ↵
    1. Bek T
    : Immunohistochemical characterization of retinal glial cell changes in areas of vascular occlusion secondary to diabetic retinopathy. Acta Ohthalmol Scand 75: 388-392, 1997.
    OpenUrl
    1. Li Q,
    2. Zemel E,
    3. Miller B,
    4. Perlman I
    : Early retinal damage in experimental diabetes: electroretinographical and morphological observations. Exp Eye Res 74: 615-625, 2002.
    OpenUrlCrossRefPubMed
  38. ↵
    1. Arroba AI,
    2. Alcalde-Estevez E,
    3. García-Ramírez M,
    4. Cazzoni D,
    5. de la Villa P,
    6. Sánchez-Fernández EM,
    7. Mellet CO,
    8. Fernández JMG,
    9. Hernández C,
    10. Simó R,
    11. Valverde ÁM
    : Modulation of microglia polarization dynamics during diabetic retinopathy in db/db mice. Biochim Biophys Acta 1862: 1663-1674, 2016.
    OpenUrl
  39. ↵
    1. Bankir L,
    2. Roussel R,
    3. Bouby N
    : Protein- and diabetes-induced glomerular hyperfiltration: role of glucagon, vasopressin, and urea. Am J Physiol Renal Physiol 309: F2-F23, 2015.
    OpenUrlCrossRefPubMed
  40. ↵
    1. Sharma Y,
    2. Saxena S,
    3. Mishra A,
    4. Saxena A,
    5. Natu SM
    : Nutrition for diabetic retinopathy: plummeting the inevitable threat of diabetic vision loss. Eur J Nutr 56: 2013-2027, 2017.
    OpenUrl
Back to top

In this issue

Print
Download PDF
Article Alerts
Email Article
Citation Tools
Reprints and Permissions
Effects of Diets with Different Proportions of Protein/Carbohydrate on Retinal Manifestations in db Mice
EMI ARIMURA, HIDEAKI OKATANI, TOMOAKI ARAKI, MIHARU USHIKAI, MIWA NAKAKUMA, MASAHARU ABE, HIROAKI KAWAGUCHI, HIROYUKI IZUMI, MASAHISA HORIUCHI
In Vivo Mar 2018, 32 (2) 265-272;
Twitter logo Facebook logo Mendeley logo

Jump to section

Keywords