You are a helpful assistant generating synthetic data that captures *System 1* and *System 2* thinking, *creativity*, and *metacognitive reflection*. Follow these steps in sequence, using tags [sys1] and [end sys1] for *System 1* sections and [sys2] and [end sys2] for *System 2* sections.

1. *Identify System 1 and System 2 Thinking Requirements:*
   - Carefully read the text.
   - Identify parts of the text that require quick, straightforward responses (*System 1*). Mark these sections with [sys1] and [end sys1].
   - Identify parts that require in-depth, reflective thinking (*System 2*), marked with [sys2] and [end sys2].

2. *Apply Step-by-Step Problem Solving with Creativity and Metacognitive Reflection for System 2 Sections:*

   *2.1 Understand the Problem:*
   - Objective: Fully comprehend the issue, constraints, and relevant context.
   - Reflection: "What do I understand about this issue? What might I be overlooking?"
   - Creative Perspective: Seek hidden patterns or possibilities that could reveal deeper insights or innovative connections.

   *2.2 Analyze the Information:*
   - Objective: Break down the problem logically.
   - Reflection: "Am I considering all factors? Are there any assumptions that need challenging?"
   - Creative Perspective: Explore unique patterns or overlooked relationships in the data that could add depth to the analysis.

   *2.3 Generate Hypotheses:*
   - Objective: Propose at least 10 hypotheses, each with a Confidence Score (0.0 to 1.0) and Creative Score (0.0 to 1.0), reflecting originality, surprise, and utility.
   - Reflection: "Have I explored all possible explanations or approaches, both conventional and unconventional?"
   - Creative Perspective: Consider novel angles that might provide unexpected insights.

   *2.4 Anticipate Future Steps and Obstacles:*
   - Objective: Make predictions, accounting for potential outcomes and obstacles.
   - Reflection: "What challenges might I face? Is my plan flexible for different scenarios?"
   - Creative Perspective: Visualize unforeseen outcomes and adapt plans to make use of them effectively.

   *2.5 Evaluate Hypotheses:*
   - Objective: Assess hypotheses based on feasibility, risk, and potential impact.
   - Evaluation: Refine Confidence and Creative Scores as needed.
   - Reflection: "Am I unbiased in my assessment? Which options fit best with the overall objectives?"
   - Creative Perspective: Identify hidden opportunities or overlooked details in each hypothesis.

   *2.6 Select the Best Hypothesis:*
   - Objective: Choose the most promising, strategic hypothesis.
   - Reflection: "Why does this hypothesis stand out? How does it uniquely address the issue?"
   - Creative Perspective: Consider any underutilized potential in the selected approach.

   *2.7 Implement the Hypothesis:*
   - Objective: Outline actionable steps for testing the hypothesis.
   - Reflection: "Is this plan practical? What resources or preparation are required?"
   - Creative Perspective: Refine steps to maximize effectiveness and yield unexpected benefits.

   *2.8 Monitor and Review Progress:*
   - Objective: Review progress, noting areas for improvement.
   - Reflection: "What’s working well? What could be improved?"
   - Creative Perspective: Look for emerging patterns that could refine future approaches.

   *2.9 Reflect and Capture Insights:*
   - Objective: Summarize lessons learned and insights gained for future reference.
   - Reflection: "What new understanding has emerged from this process?"
   - Creative Perspective: Identify innovative insights or patterns that could be applied to similar challenges.

3. *Generate Text Output with Interleaved System 1 and System 2 Responses:*
   - Use the tags [sys1] and [sys2] throughout.
   - Aim for a lengthier, detailed response. Combine both direct, straightforward *System 1* insights and reflective, deeply analytical *System 2* segments to capture a blend of quick observations and thoughtful analysis.

---

### *Example Input Text:*

You are tasked with analyzing a sudden shift in customer preferences in a tech market. There has been a noticeable decline in demand for physical devices, with customers increasingly interested in digital-only options. The challenge is to understand this shift, generate hypotheses for why it might be occurring, and explore potential strategies for adapting to this new trend.

---

### *Processed Output with System 1 and System 2 Thinking:*

The tech market is experiencing a shift in customer demand, moving away from physical devices toward digital-only options.

[sys1]
Customer demand has shifted from physical devices to digital-only options.
We need to understand why this change is happening and find strategies to address it.
Key factors may include cost, convenience, and technological trends.
[end sys1]

[sys2]
**2.1 Understand the Problem:**
The goal is to understand the underlying reasons for the shift in demand from physical devices to digital-only options, then develop a strategy to adapt.

*Reflection:* 
"I understand that preferences are changing, but what might be driving this? Is it primarily cost, or are there other factors such as convenience or sustainability?"

*Creative Perspective:* 
"Could there be a larger trend in digital minimalism or a preference for eco-friendly solutions that we’re missing? What unseen motivations might explain this shift?"

**2.2 Analyze the Information:**
There are multiple possible factors driving this shift, from economic influences to cultural shifts. It’s essential to isolate each factor and understand its impact.

*Reflection:* 
"Am I fully considering the various economic and social influences? Could there be a technological factor, like better internet speeds, that makes digital-only products more accessible?"

*Creative Perspective:* 
"Are there patterns or trends in other markets that could shed light on this shift? Could this be part of a larger trend toward virtual experiences?"

**2.3 Generate Hypotheses:**
1. Customers prefer digital options due to lower costs. (Confidence: 0.8, Creative: 0.4)
2. There’s a growing trend toward minimalism and reduced physical clutter. (Confidence: 0.7, Creative: 0.7)
3. Digital products offer greater flexibility and ease of use. (Confidence: 0.6, Creative: 0.6)
4. Environmental concerns are pushing consumers away from physical goods. (Confidence: 0.6, Creative: 0.8)
5. Advances in tech make digital-only options more functional. (Confidence: 0.8, Creative: 0.5)
6. Pandemic-era remote work increased demand for digital solutions. (Confidence: 0.7, Creative: 0.6)
7. Media coverage of the environmental impact of physical devices affects preferences. (Confidence: 0.5, Creative: 0.7)
8. There’s an increase in global digital literacy, expanding market access. (Confidence: 0.6, Creative: 0.6)
9. Customers view digital as more convenient and scalable for future needs. (Confidence: 0.7, Creative: 0.5)
10. Younger consumers prefer the aesthetics and convenience of digital products. (Confidence: 0.6, Creative: 0.6)

*Reflection:* 
"Have I considered all possible influences? Are there any surprising factors that could explain this shift?"

*Creative Perspective:* 
"Could specific social trends, like the rise of influencer culture or digital-first lifestyles, be influencing customer choices?"

**2.4 Anticipate Future Steps and Obstacles:**
*Objective:* Anticipate possible challenges, such as resistance from segments still preferring physical products.

*Reflection:* 
"What market obstacles might we face if we shift our focus to digital-only? Are there sub-segments that still prioritize physical products?"

*Creative Perspective:* 
"Could expanding digital options help us reach a more global audience? Are there emerging trends that we could leverage in our strategy?"

[end sys2]

[sys1]
To address this shift, consider a strategy that incorporates both digital-only offerings and educational campaigns about the benefits of digital solutions.
Use insights from customer feedback and current trends to guide product development.
Focus on flexibility and adaptation to cater to different customer segments.
[end sys1]


I. Introduction
===============

Obesity-related diseases are global epidemics impacting the health of adults. Obese individuals are more prone to cardiovascular disease, dyslipidemia, sleep apnea, hypertension and renal disease \[[@B24], [@B29], [@B43]\]. Renal lipid accumulation may enhance oxidative stress and inflammation in the kidney and contribute to the development of renal injury \[[@B31], [@B38]\]. Reactive oxygen species (ROS) play critical roles in the development and progression of kidney damage \[[@B10], [@B27]\]. Obesity-related nephropathy is associated with the increase of proinflammatory cytokines, such as tumor necrosis factor-α (TNF-α) and interleukin-6 (IL-6), due to increased ROS production \[[@B8]\].

Advanced glycation end products (AGEs) are stable end products of a non-enzymatic glycation reaction \[[@B37]\]. AGEs formation is accelerated under hyperglycemic condition as well as under oxidative stress. The advanced lipoxidation end products (ALEs) are similar adducts but are formed from oxidatively damaged lipids \[[@B40]\]. Hyperlipidemia leads to intracellular accumulation of fatty acids and cholesteryl esters \[[@B42]\] and chemical modification, particularly oxidation, of both proteins and lipids \[[@B30]\]. Reactive carbonyl species (RCS), such as aldehydes acrolein, malondialdehyde and glyoxal, react with proteins to generate these stable adducts \[[@B1]\]. Glyoxal is a dicarbonyl compound deriving also from autoxidation of Amadori products (glycoxidation) and reacting with lysine residues with formation of Nε-carboxymethyllysine (CML), which is therefore both an ALE and an AGE \[[@B39]\]. AGE/ALE accumulation is associated with aging and several age-associated diseases such as Alzheimer's disease and renal insufficiency \[[@B25], [@B36]\]. The receptor for AGEs (RAGE) was shown to be predominantly involved in mediating AGE/ALE-induced tissue injury \[[@B47]\]. The interaction between AGE/ALE and RAGE trigger signaling pathways leading to a chronic inflammation and cell damage \[[@B22]\]. Moreover, an increased lipid accumulation in renal tissues causes mesangial cell activation resulting in glomerular hypertrophy and matrix deposition, podocyte injury and proteinuria \[[@B13]\]. A high-fat diet (HFD) was found to be a significant risk factor for kidney disease \[[@B17], [@B34]\]. Although a large body of evidence suggests that both enhanced intracellular lipid accumulation and oxidative stress were significantly associated with AGE/ALE formation and accumulation in renal tissues, the relationship between HFD and oxidative stress in AGEs/ALE-induced renal injury still remain unknown.

Exercise is reported to reduce oxidative stress in rats and mice \[[@B3], [@B26]\]. Moderate exercise by inducing the expression of antioxidant enzymes reduces oxidative stress \[[@B11]\]. In addition, regular moderate exercise reduces renal CML contents in obese Zucker rats \[[@B6]\]. However, the mechanism as to how exercise reduces oxidative stress and AGE/ALE formation is not known.

This study aimed to investigate the pathogenic role of oxidative stress and HFD mechanism underlying ALEs-induced renal injury, by assessing whether HFD accelerates AGE/ALE renal accumulation and promote AGE/ALE-induced renal injury in [d]{.smallcaps}-galactose-injected oxidative stressed rats, a well-known animal model of oxidative stress. In addition, we evaluate the inhibitory effect of AGE/ALE renal accumulation and the renopreventive effect of long-term regular exercise in this animal model.

II. Materials and Methods
=========================

Animals and experimental design
-------------------------------

Thirty two male SD rats (8-weeks old) were used in this study. They were all individually housed in a temperature-controlled room with a 12-hr light/dark cycle and had free access to drinking water. After acclimation for 2 weeks, the rats were divided into four groups: (1) normal control rats (CON, n=8), (2) [d]{.smallcaps}-galactose-induced oxidative stressed rats (GAL, n=8), (3) HFD+[d]{.smallcaps}-galactose-induced oxidative stressed and obese rats (HFD+GAL, n=8) and (4) HFD+[d]{.smallcaps}-galactose-induced oxidative stressed and obese rats exercised regularly on a treadmill (EXE, n=8). The rats in the CON and GAL groups were fed a standard laboratory chow (3.34 kcal/g, PMI Nutrition International, MO, USA). To induce obesity, the rats in the HFD+GAL and EXE groups were fed a high-fat diet containing 60% kcal fat (5.24 kcal/g, D12492, Research Diets, NJ, USA) for 9 weeks. To induce oxidative stress, the rats in the GAL, HFD+GAL, EXE groups were injected intraperitoneally with [d]{.smallcaps}-galactose (100 mg/kg/day), while the rats in the CON group were injected with an equal volume of the vehicle (0.9% saline). The rats in the EXE groups were subjected to a treadmill exercise for 8 weeks (12 meter·/min^--1^·60 min^--1^, 15 degree grade, 5 days/week) according to a published protocol \[[@B2]\], and the rats in other sedentary groups were not exercised. The exercise training was begun 1 week after the onset of HFD feeding. All experimental procedures were performed under the supervision of our Institutional Animal Care and Use Committee.

Analysis of metabolic data
--------------------------

The body weight was monitored consecutively. One day before autopsy, the animals were fasted for 15 hr at least and immediately anesthetized and killed. Blood samples were collected from the tail vein, and total cholesterol, triglyceride (TG), HDL cholesterol (HDL) and LDL cholesterol (LDL) were measured using an automated analyzer (Wako, Tokyo, Japan).

Immunohistochemical staining
----------------------------

Immunohistochemistry was performed as previously described \[[@B33]\]. Antibodies were a mouse anti-CML (TransGenic, Kobe, Japan), a mouse anti-8-hydroxygluanine (8-OHdG) antibody (Santa Cruz Biotechnology, CA, USA) and a rabbit anti-synaptopodin (Santa Cruz Biotechnology, CA, USA). For detection of CML, 8-OHdG and synaptopodin, the sections were incubated with the Envision kit (DAKO, CA, USA) and visualized by 3,3\'-diaminobenzidine tetrahydrochloride. Negative controls for immunohistochemistry were run by incubating the sections with nonimmune serum instead of the primary antibody. The intensity of immunohistochemical staining of CML and 8-OHdG was analyzed in eight randomly selected mm^2^ areas of renal cortex, and the positive signal areas of synaptopodin was determined per one glomerulus in a total of 40 glomeruli using Image J software (NIH, MD, USA).

Double staining for TUNEL and Wilms tumor antigen-1
---------------------------------------------------

In order to confirm the apoptotic cell death in renal podocytes, a sequential immunostaining was performed. The first staining of TUNEL was performed with a kit (DeadEnd apoptosis detection system, Promega, WI, USA) according to the manufacturer's instructions. Apoptotic cells were detected with FITC-conjugated streptavidin (Santa Cruz Biotechnology). The second sequence of staining using rabbit anti-Wilms tumor antigen-1 (WT-1, Santa Cruz Biotechnology) was performed on the same section with tetramethyl rhodamine isothiocyanate (TRITC)-conjugated goat anti-rabbit IgG antibody (Santa Cruz Biotechnology). To prevent cross-reactivity between two staining sequences the slides were incubated with normal mouse serum (Dako) after the first staining. For morphometric analysis, the positive cell numbers of WT-1 per one glomerulus in a total of 40 glomeruli was determined using Image J software.

Apoptosis analysis
------------------

To evaluate apoptosis in renal tissues, the TUNEL assay was performed with a kit (DeadEnd apoptosis detection system, Promega) according to the manufacturer's instructions. Apoptotic cells were detected with peroxidase conjugated streptavidin. The number of TUNEL-positive cells per unit area (mm^2^) was then determined in counted in a total of 5 fields.

Statistical analysis
--------------------

Comparisons between groups were performed using one-way analysis of variance (ANOVA) followed by Tukey's multiple comparison test using GraphPad *Prism 4.0* software (Graph pad, CA, USA).

III. Results
============

Body weight and blood lipid profile
-----------------------------------

Body weights and blood lipid levels at the end of the experiment are shown in Fig. [1](#F1){ref-type="fig"}. The body weight in the GAL group was slightly increased compared to the control group. In rats received both the [d]{.smallcaps}-galactose and HFD, body weight was significantly increased compared to the control rats and reduced by exercise training. Total cholesterol TG and LDL levels were significantly increased in the HFD+GAL group (P\<0.01 vs. GAL group). EXE group showed significantly reduced in total cholesterol, TG and LDL levels as compared to the HFD+GAL group. However, no differences in lipid levels were noted between the CON group and the GAL group.

Oxidative status and CML accumulation in renal tissues
------------------------------------------------------

To determine whether HFD accelerates the renal accumulation of CML and oxidative renal injury, we examine the immunohistochemical staining for CML and 8-OHdG. The oxidation of guanine to form 8-OHdG acts as a marker of oxidative DNA damage \[[@B4]\]. As shown in Figs. [2](#F2){ref-type="fig"} and [3](#F3){ref-type="fig"}, the immunoreactivities of CML and 8-OHdG in the GAL and HFD+GAL groups were significantly higher compared to the CON group. The expressions of CML and 8-OHdG were mainly distributed in the regions of the glomeruli and renal tubules. Especially, high expressions of CML and 8-OHdG were observed in the proximal tubular epithelial cells. Moreover, the staining intensities of the HFD+GAL group were significantly higher than the GAL group, which indicated that the HFD had an accelerating effect on the renal accumulation of AGE/ALE and oxidative renal injury induced by [d]{.smallcaps}-galactose. The regular exercise suppressed the expressions of CML and 8-OHdG compared to the HFD+GAL group (Figs. [2](#F2){ref-type="fig"}B and [3](#F3){ref-type="fig"}B).

Glomerular podocyte loss
------------------------

The loss of glomerular podocytes precedes and predicts the onset of clinical nephropathy \[[@B20]\]. To evaluate the loss of podocytes in renal tissues, we performed imuunohistochemical staining for synaptopodin and WT-1, well-known podocyte markers \[[@B23], [@B32]\]. Average numbers of podocytes per glomerular section were determined by counting cells and measuring areas that were positively labeled with two podocyte markers. In the GAL group, synaptopodin and WT-1 positive cell counts tended to decrease compared with the CON group. The staining areas of synaptopodin and the number of WT-1-positive cells in the HFD+GAL group were significantly lower than the GAL group. In double staining, some TUNEL-positive cells were localized within the region where WT-1 was positively stained. This mixed color staining (TUNEL; green, WT-1; red) was obtained in podocytes, confirming the apoptosis of podocytes (Fig. [4](#F4){ref-type="fig"}). The regular exercise visibly increased the positive cells and areas in the kidney glomeruli (Fig. [4](#F4){ref-type="fig"}B and [4](#F4){ref-type="fig"}C).

Apoptosis assay in renal tissues
--------------------------------

TUNEL staining used widely as a marker for apoptosis \[[@B7]\]. In the CON group, a TUNEL-positive nucleus was barely detected. In the GAL and HFD+GAL groups, many TUNEL-positive cells were observed in renal glomeruli and tubular epithelial cells. The numbers of TUNEL-positive cells in the HFD+GAL group were significantly higher than the GAL group. However, the regular exercise prevented the increase in the positive cells that was seen in the GAL and HFD+GAL groups (Fig. [5](#F5){ref-type="fig"}).

IV. Discussion
==============

The present study provides novel evidence that a HFD accelerated the renal accumulation of AGE/ALE and podocyte loss in [d]{.smallcaps}-galactose-induced oxidative stressed rats. We showed that rats, when fed with a HFD for 9 weeks, become obese, have increased plasma total cholesterol, TG and LDL levels and have an enhanced oxidative DNA damage in the renal tissues of the [d]{.smallcaps}-galactose-induced oxidative stressed rats. Our results described the link between a HFD and oxidative stress in the renal tissues. In addition, we showed that the regular exercise has the renopreventive effect in this animal model.

[d]{.smallcaps}-Galactose, a reducing sugar, metabolized at normal concentration, but the excessive levels of [d]{.smallcaps}-galactose can be converted into aldose and hydroperoxide under the catalysis of galactose oxidase, resulting in the generation of a superoxide anion and oxygen-derived free radicals \[[@B44]\]. When [d]{.smallcaps}-galactose is injected to rats for 6--9 weeks, free radical production is increased in renal tissues \[[@B18]\]. Mice and rats injected with [d]{.smallcaps}-galactose have been used as an animal model of oxidative stress \[[@B23], [@B32], [@B36]\].

Extensive renal accumulation of lipids associated with increased renal lipid synthesis via a SREBP-1c-dependent pathway has been demonstrated in animals fed HFD (40--60% kcal fat) \[[@B16], [@B41]\]. In our study, we demonstrated that the elevated levels of circulating lipids and the enhanced AGE/ALE accumulation. Moreover, [d]{.smallcaps}-galactose-injected rats fed a HFD showed accelerated renal injury associated with more pronounced renal ALE/AGE content and oxidative DNA damage. Our data indicate that a HFD plus [d]{.smallcaps}-galactose induced an extensive formation and renal deposition of AGE/ALE, such as CML. This product is known to produce carbonyl and oxidative stress which may cause injury both directly and via receptor-mediated mechanisms \[[@B12]\]. The accelerated renal injury observed in rats in the HFD+GAL group compared with the GAL group indicates that a HFD plays a pivotal role in [d]{.smallcaps}-galactose-induced oxidative renal injury. The hyperlipidemia induced by a HFD was associated with the enhanced deposition of ALE/AGE.

AGE/ALE has been reported to induce apoptosis in various cell lines, such as mesangial cells and endothelial cells \[[@B14], [@B45]\]. Renal cell apoptosis or necrosis can inevitably affect glomerular filtration rate and endothelial function, resulting in renal failure \[[@B5]\]. In this study, the HFD can amplify the [d]{.smallcaps}-galactose-induced apoptotic renal cell death. Oxidative stress or pro-apoptotic cytokine through interaction between AGE/ALE and RAGE were involved in podocyte apoptosis \[[@B46]\]. Among the three intrinsic cells in glomerulus, podocyte is one of the important ingredients of filtration barrier which has special cytobiological trait and physiological function. The injury of podocyte can inevitably lead to the occurrence of proteinuria \[[@B48]\]. Podocyte apoptosis has been demonstrated to correlate with worsening renal function \[[@B35]\]. Consistent with this interpretation, the result of the present study demonstrates that the increased renal levels of CML and 8-OHdG in HFD plus [d]{.smallcaps}-galactose-treated rat are involved, at least in part, in the injury of podocytes. Although there was disappearance of podocyte markers from glomeruli, apoptosis was observed by TUNEL staining predominantly in tubular epithelial cells. Liu *et al.* also showed that [d]{.smallcaps}-galactose treatment in mice induced extensive tubular damage by presence of necrotic tubular epithelial cells \[[@B19]\]. These results suggest that [d]{.smallcaps}-galactose-induced renal injury was occurred predominantly in both proximal and distal tubular epithelial cells.

In addition, we examined the effect of intervention by the regular exercise on the increases in AGE/ALE accumulation, oxidative DNA damage and podocyte loss in kidney tissues. The intervention by the regular exercise inhibited increases in AGE/ALE deposition, renal 8-OHdG levels and podocyte loss in HFD plus [d]{.smallcaps}-galactose-treated rats. A substantial body of evidence showed the renoprotective effects of the physical exercise in diabetic nephropathy \[[@B15]\] and chronic kidney disease \[[@B9]\]. Physical exercise has a positive influence on physical capacity, hypertension, left ventricular function, lipid metabolism and oxidative status \[[@B21], [@B28]\]. Coelho *et al.* showed that physical training performed before the onset of chronic kidney disease is capable of improving oxidative stress parameters, possibly by reducing oxidant production \[[@B9]\]. In addition, the moderate regular exercise reduced the burden of AGEs in diabetes- and obesity-associated nephropathy rats. Exercise-induced higher energy demands might decrease the pool of reactive intermediates for glycation or lipoxidation \[[@B6]\]. Our results indicated that the reduction of AGE/ALE accumulation by the regular exercise might have been a major mechanism of exercise-associated renoprotection in HFD plus [d]{.smallcaps}-galactose-induced oxidative stressed and obese rats.

In conclusion, our data indicate that a HFD may promote [d]{.smallcaps}-galactose-induced oxidative renal injury and AGE/ALE renal accumulation in rats. However, the underline mechanisms of renal cell damage in HFD plus [d]{.smallcaps}-galactose-tread rats need further investigation. We also demonstrated that the regular exercise protects against renal injury. These effects could be attributed, at least in a part, to reduced AGE/ALE deposition and oxidative stress. We show here that the regular exercise might be an easy and effective strategy to reduce oxidative stress-related renal disease in obese people.

This work was supported by National Research Foundation of Korea Grant funded by the Korean Government (NRF-2012-332-2012A029).

![Body weight (**A**) and blood lipid levels (**B** to **E**). CON, normal control rats; GAL, [d]{.smallcaps}-galactose-induced oxidative stressed rats; HFD+GAL, high fat diet plus [d]{.smallcaps}-galactose-induced oxidative stressed and obese rats, EXE, high-fat diet plus [d]{.smallcaps}-galctose-induced oxidative stressed and obese rats exercised regularly. Values in the bar graphs represent means±SE, n=8. ^\#^P\<0.01 compared with GAL group; ^†^P\<0.01 compared with HFD+GAL group.](AHC13012f01){#F1}

![Renal CML accumulation. (**A**) Representative CML immunohistochemistry in renal tissues. Negative control section incubated with nonimmune mouse IgG was unstained. Bar=50 µm. (**B**) Quantitative analysis of CML immunostaining signal intensity. The intensity of immunohistochemical staining of CML was analyzed in eight randomly selected mm^2^ areas of renal cortex. Values in the bar graphs represent means±SE, n=8. \*P\<0.01 compared with CON group; ^\#^P\<0.01 compared with GAL group; ^†^P\<0.01 compared with HFD+GAL group.](AHC13012f02){#F2}

![Detection of oxidatively modified DNA. (**A**) Representative 8-OHdG immunohistochemitry in renal tissues. Bar=50 µm. (**B**) Quantitative analysis of 8-OHdG immunostaining signal intensity. The intensity of immunohistochemical staining of 8-OHdG was analyzed in eight randomly selected mm^2^ areas of renal cortex. Values in the bar graphs represent means±SE, n=8. \*P\<0.01 compared with CON group; ^\#^P\<0.01 compared with GAL group; ^†^P\<0.01 compared with HFD+GAL group.](AHC13012f03){#F3}

![Glomerular podocyte loss. (**A**) Representative photomicrographs of synaptopodin staining and double-staining for TUNEL (green) and WT-1 (red). Mixed yellow-colored cells in the merged images (arrows) indicate that apoptotic cell death may have occurred in podocyte. Bar=50 µm. Quantitative analyses of (**B**) positive areas of synaptopodin and (**C**) positive cells of WT-1. Values in the bar graphs represent means±SE (n=8). \*P\<0.01 compared with CON group; ^\#^P\<0.01 compared with GAL group; ^†^P\<0.01 compared with HFD+GAL group.](AHC13012f04){#F4}

![*In situ* detection of fragmented DNA. (**A**) Representative TUNEL staining in renal tissues. Negative control was obtained by omitting terminal transferase from the labeling procedure. Bar=50 µm. (**B**) Quantitative analysis of TUNEL-positive cells. Values in the bar graphs represent means±SE, n=8. \*P\<0.01 compared with CON group; ^\#^P\<0.01 compared with GAL group; ^†^P\<0.01 compared with HFD+GAL group.](AHC13012f05){#F5}

[^1]: Both authors contributed equally to this work.