1. Introduction
Chronic ethanol (EtOH) consumption remains a major cause of metabolic and organ dysfunction worldwide. The liver, as the primary site of EtOH metabolism, undergoes significant oxidative stress initiated by alcohol dehydrogenase and cytochrome P450 2E1 (CYP2E1)-mediated oxidation. This process generates high levels of acetaldehyde and reactive oxygen species (ROS) [
1,
2]. The resulting oxidative burden triggers lipid peroxidation, compromises mitochondrial integrity, and activates pro-inflammatory pathways within hepatocytes [
3,
4]. These processes disrupt normal hepatic metabolism, resulting in triglyceride accumulation, glycogen depletion, and hepatocellular injury that can progress from steatosis to steatohepatitis and fibrosis [
5]. In addition, EtOH metabolism alters the intracellular redox state by increasing the NADH/NAD
+ ratio, which suppresses gluconeogenesis and promotes de novo lipogenesis, thereby exacerbating the metabolic imbalance in the liver [
6].
EtOH-induced injury is not limited to the liver. The pancreas is also highly susceptible to EtOH-mediated toxicity. Chronic EtOH exposure induces oxidative stress and mitochondrial dysfunction in both pancreatic acinar and endocrine cells, leading to cellular injury and inflammatory responses. Elevated EtOH metabolites and oxidative stress have been shown to impair insulin secretion from pancreatic β-cells, thereby disrupting glucose homeostasis [
7,
8]. Consequently, chronic alcohol intake is associated with pancreatic inflammation, impaired endocrine function, and increased risk of metabolic disorders [
9]. These observations indicate that EtOH exposure causes multi-organ metabolic injury affecting both the liver and pancreas through shared mechanisms involving oxidative stress and bioenergetic failure.
Because oxidative stress and metabolic dysregulation are central features of EtOH-induced organ injury, various pharmacological and nutritional approaches have been investigated to mitigate these effects. Antioxidants, including N-acetylcysteine [
10], vitamin E [
11], and various polyphenols [
12], have been explored for their ability to reduce ROS-mediated damage. Other therapeutic strategies include agents that improve mitochondrial function, modulate lipid metabolism, or enhance cellular antioxidant defenses [
13].
Despite these efforts, effective pharmacological interventions for EtOH-induced liver and pancreatic injury remain limited. Many antioxidant agents show protective effects in experimental models but demonstrate inconsistent efficacy in clinical settings [
14,
15]. Moreover, existing therapeutics focus primarily on hepatoprotection, overlooking the parallel dysfunction of the pancreas. Therefore, the identification and development of novel bifunctional compounds capable of concurrently protecting both hepatic and pancreatic tissues against EtOH-induced oxidative stress and metabolic insults represent a critical unmet clinical need.
4-Hexylresorcinol (4HR) is a phenolic compound that has been widely used as an antimicrobial and antiseptic agent in food preservation and medical applications [
16,
17]. Recent evidence, however, suggests that 4HR possesses antioxidant and anti-inflammatory properties [
18]. As a phenolic derivative, 4HR can scavenge ROS and mitigate oxidative stress–mediated cellular damage [
19]. Previous studies have also indicated that 4HR can modulate cellular stress responses and metabolic signaling pathways, including pathways associated with mitochondrial function and cellular energy metabolism [
20]. Pancreatic β-cells are particularly vulnerable to oxidative stress because they possess relatively low levels of endogenous antioxidant enzymes [
21]. In experimental models using streptozotocin (STZ), a diabetogenic compound that selectively damages pancreatic β-cells through ROS generation and DNA alkylation, oxidative stress leads to marked pancreatic tissue damage and hyperglycemia [
22,
23,
24].
Interestingly, our recent study showed that 4HR attenuated streptozotocin-induced pancreatic β-cell damage and preserved insulin secretion, suggesting that 4HR may protect metabolically vulnerable tissues from oxidative stress–mediated injury. Because oxidative stress and ER stress are common mechanisms underlying ethanol-induced damage in both the liver and pancreas, we hypothesized that 4HR may exert protective effects across the hepato-pancreatic axis in chronic EtOH exposure. Therefore, the objective of the present study was to evaluate whether 4HR attenuates EtOH-induced hepatic and pancreatic injury in a chronic ethanol-feeding mouse model. To address this, we assessed glucose homeostasis, hepatic injury and glycogen depletion, pancreatic endocrine alterations, oxidative stress, and ER stress-related responses. The significance of this study lies in identifying 4HR as a potential multi-organ protective agent that may simultaneously mitigate liver and pancreatic damage caused by chronic EtOH exposure, a therapeutic area that remains insufficiently explored.
2. Materials and Methods
2.1. Experimental Animals and Study Design
Male C57BL/6J mice, a commonly used inbred strain for metabolic and EtOH-feeding studies, were purchased from Samtako Bio Korea (Osan, Republic of Korea). The animals were 6 weeks old at the start of the experiment and had an initial body weight of approximately 25 g. Animals were housed under standard laboratory conditions with controlled temperature and humidity and maintained under a 12 h light/dark cycle. Mice were housed two per cage, and food intake was measured daily on a per-cage basis. Food and water were provided ad libitum unless otherwise specified. All animal procedures were performed in accordance with institutional guidelines for the care and use of laboratory animals and were approved by the Institutional Animal Care and Use Committee of the authors’ institution (GWNU-2025-19. Approved on 3 November 2025).
Mice were randomly assigned to four experimental groups (n = 10 per group): (1) control group, (2) EtOH group, (3) EtOH + low-dose 4HR group (4HR5), and (4) EtOH + high-dose 4HR group (4HR10). 4HR (Cat. No. 209465; Sigma-Aldrich, St. Louis, MO, USA; purity 98%) was used in this study. Mice in the low-dose and high-dose 4HR groups received 4HR at 5 mg/kg and 10 mg/kg, respectively, by daily subcutaneous injection throughout the 5-week EtOH-feeding period.
All animals underwent a 1-week training period for adaptation to a liquid diet system. After the adaptation period, mice in the EtOH-fed groups received an EtOH-containing liquid diet based on the Lieber–DeCarli chronic ethanol-feeding model (Cat. No. 710260; Dyets Inc., Bethlehem, PA, USA), whereas the control group received an isocaloric control liquid diet (Cat. No. 710027; Dyets Inc.) [
25]. The EtOH diet was prepared according to the manufacturer’s instructions by adding 67 mL of 95% EtOH per liter of diet, and EtOH was introduced gradually during the adaptation phase before being maintained at the target concentration throughout the 5-week experimental period. Throughout the study, body weight was monitored weekly, while general health status and food intake were assessed daily (
Figure S1).
2.2. Glucose Tolerance Test and Serum Insulin Measurement
To evaluate glucose metabolism and pancreatic endocrine function, a glucose tolerance test (GTT) was performed at the end of the experimental period. Glucose tolerance testing was performed as previously described with minor modifications [
26]. Mice were fasted overnight prior to the test while maintaining free access to water. After the fasting period, baseline blood glucose levels were measured from tail vein blood samples.
Glucose was administered by intraperitoneal injection using a 50 wt% dextrose solution at a dose of 2 g/kg body weight. Blood glucose levels were measured at 15, 30, 60, and 120 min after glucose administration using a GreenDoctor glucometer (GC Pharma, Yongin, Republic of Korea). Glucose tolerance was assessed by comparing glucose levels at each time point and by calculating the area under the curve (AUC) of the glucose response.
To evaluate pancreatic β-cell function, serum insulin levels were measured during the glucose tolerance test. Small volumes of blood were collected from the tail vein at fasting and 30 min following glucose administration. Blood samples were centrifuged to obtain serum, which was stored at −80 °C until analysis. Serum insulin concentrations were determined using a Mouse Insulin ELISA kit (Cat. No. 10-1247-01; Mercodia AB, Uppsala, Sweden) according to the manufacturer’s instructions. Briefly, 10 μL of each sample was added to the wells, followed by 100 μL of enzyme conjugate, incubated for 2 h at room temperature on a plate shaker, washed, developed with TMB substrate, and read at 450 nm.
The insulinogenic index was calculated to assess glucose-stimulated insulin secretory capacity. It was defined as the ratio of the increment in serum insulin concentration to the increment in blood glucose concentration after glucose loading, according to the following formula:
2.3. Histological Analysis
At the time of sacrifice, liver and pancreas tissues were harvested and immediately fixed in 10% neutral-buffered formalin. Liver samples were consistently collected from the left lateral lobe in all animals to minimize inter-lobar sampling variability. Fixed tissues were dehydrated through graded EtOH solutions, cleared in xylene, and embedded in paraffin. Paraffin sections (5 μm thickness) were prepared using a microtome and mounted on glass slides for histological analysis. For general histological evaluation, tissue sections were stained with hematoxylin and eosin (H&E) according to standard protocols. Briefly, sections were deparaffinized in xylene, rehydrated through graded EtOH, stained with hematoxylin, and counterstained with eosin. After dehydration and mounting, stained sections were examined under a light microscope. Representative microscopic images were acquired using a BX51 light microscope equipped with a DP73 digital camera (Olympus, Tokyo, Japan) at ×200 magnification under identical illumination conditions. For quantitative or semiquantitative histologic assessment, three representative non-overlapping microscopic fields were analyzed per section. In H&E-stained liver sections, inflammation was graded semi-quantitatively according to the criteria shown in
Table 1, adapted from the histologic scoring system described by Kleiner et al. [
27]. All image analyses were performed in a blinded manner.
To evaluate hepatic lipid accumulation, Oil Red O staining was performed on selected liver samples. Because Oil Red O staining requires frozen sections and frozen tissues were not available for all specimens, this analysis was conducted on representative samples from each experimental group. Briefly, liver tissues were embedded in optimal cutting temperature compound and frozen. Cryosections (10 μm thickness) were prepared using a cryostat and mounted onto glass slides. Sections were fixed with 10% neutral-buffered formalin, rinsed with distilled water, and stained with Oil Red O working solution to visualize neutral lipid droplets. After staining, sections were counterstained with hematoxylin, washed, and mounted for microscopic examination. Images were captured using a light microscope under identical imaging conditions. Lipid accumulation was evaluated qualitatively by comparing staining patterns among groups, and the Oil Red O–positive area was quantified using digital image analysis. Quantitative analysis was performed on representative images obtained from the selected samples.
To evaluate hepatic glycogen content, Periodic Acid–Schiff (PAS) staining was performed. After deparaffinization and rehydration, sections were treated with periodic acid followed by incubation with Schiff reagent according to the manufacturer’s instructions. PAS-positive glycogen deposits appeared as magenta staining within hepatocyte cytoplasm. For semiquantitative analysis of hepatic glycogen deposition, PAS-stained sections were examined by digital image analysis using representative microscopic images captured under identical illumination and magnification conditions. The magenta index was calculated as the percentage of PAS-positive magenta-stained area relative to the total tissue area within the selected region of interest (ROI). Because PAS-positive magenta staining in hepatocyte cytoplasm primarily reflects glycogen deposition, this index was used as a semiquantitative indicator of hepatic glycogen content. For each specimen, three representative microscopic fields were selected and analyzed, and the mean value was used as the representative value for that animal. To ensure reliability, the image analysis results were reviewed and confirmed by a human observer blinded to the experimental groups. To confirm glycogen specificity, selected sections were subjected to diastase digestion prior to PAS staining. Tissue sections were incubated with α-amylase (diastase) solution at 37 °C to enzymatically degrade glycogen. Reduction or disappearance of PAS staining after diastase treatment was interpreted as evidence that the PAS-positive signal was primarily glycogen-derived.
2.4. Immunohistochemistry
To evaluate the expression of endocrine and stress-related proteins in pancreatic tissues, immunohistochemical staining was performed for insulin, glucagon, and GADD153 (CHOP). Paraffin-embedded pancreatic tissue sections (5 μm thickness) were deparaffinized in xylene and rehydrated through graded EtOH solutions. Antigen retrieval was performed by heating the sections in citrate buffer (pH 6.0). Endogenous peroxidase activity was blocked by incubation with 3% hydrogen peroxide.
After blocking with normal serum to prevent nonspecific binding, tissue sections were incubated overnight at 4 °C with primary antibodies against insulin (Cat. No. sc-8033, Santa Cruz Biotechnology, Santa Cruz, CA, USA), glucagon (Cat. No. sc-514592, Santa Cruz Biotechnology), and GADD153 (CHOP; Cat. No. sc-166682, Santa Cruz Biotechnology). All primary antibodies were used at a dilution of 1:100. After washing with phosphate-buffered saline (PBS), sections were incubated with the Dako REAL EnVision horseradish peroxidase detection system (Dako, Glostrup, Denmark) according to the manufacturer’s instructions.
Immunoreactivity was visualized using 3,3′-diaminobenzidine (DAB) as the chromogenic substrate, and sections were counterstained with hematoxylin. Stained sections were dehydrated, mounted, and examined under a light microscope. Representative images were captured for comparison among experimental groups. For semiquantitative analysis of GADD153 immunostaining, three representative areas were selected from each liver section and three representative islets of Langerhans were selected from each pancreatic section. The average staining intensity within the selected regions was measured using SigmaScan Pro version 5.0 (SPSS Inc., Chicago, IL, USA). Relative intensity values were expressed on a grayscale scale ranging from 0 to 255, where 0 indicates the lowest intensity and 255 indicates the highest intensity. The mean value from the three selected areas was used as the representative value for each specimen.
2.5. Measurement of Lipid Peroxidation
Lipid peroxidation in pancreatic tissue was evaluated by measuring malondialdehyde (MDA) levels using a TBARS Assay Kit (Cat. No. 10009055; Cayman Chemical, Ann Arbor, MI, USA) according to the manufacturer’s instructions and previously described analytical approach [
28]. Briefly, pancreatic tissues were homogenized in an appropriate buffer and centrifuged to obtain clear supernatants. The samples were then reacted with thiobarbituric acid (TBA) under high-temperature acidic conditions to form an MDA–TBA adduct. The resulting chromogenic product was measured spectrophotometrically at 532 nm, and MDA concentrations were calculated using an MDA standard curve provided in the kit. MDA levels were normalized to tissue weight and expressed as nmol/g tissue.
2.6. Western Blot Analysis
Protein levels of glucagon, GRP78, and GADD153 (CHOP) in pancreatic tissue were analyzed by Western blotting. Pancreatic tissues were homogenized in ice-cold radioimmunoprecipitation assay (RIPA) buffer (iNtRON Biotechnology, Seongnam, Republic of Korea) containing a protease inhibitor cocktail (Thermo Scientific, Rockford, IL, USA), and the homogenates were centrifuged to obtain total protein lysates from the supernatants.
Protein concentrations were measured using a bicinchoninic acid (BCA) protein assay (Cat. No. 23225; Thermo Fisher Scientific, Rockford, IL, USA). Equal amounts of protein were separated by sodium dodecyl sulfate-polyacrylamide gel electrophoresis (SDS-PAGE) and transferred onto polyvinylidene difluoride (PVDF) membranes. The membranes were blocked with 5% nonfat dry milk and incubated overnight at 4 °C with primary antibodies against glucagon (Cat. No. sc-514592; Santa Cruz Biotechnology), GRP78 (Cat. No. sc-13539; Santa Cruz Biotechnology), and GADD153/CHOP (Cat. No. sc-166682; Santa Cruz Biotechnology). After washing, the membranes were incubated with horseradish peroxidase-conjugated secondary antibodies at a dilution of 1:10,000. Protein bands were detected using an enhanced chemiluminescence (ECL) detection system and visualized using a ChemiDoc imaging system (Bio-Rad, Hercules, CA, USA). GAPDH (Cat. No. sc-137179; Santa Cruz Biotechnology) and β-actin (Cat. No. sc-81178; Santa Cruz Biotechnology) were used as the internal loading control.
Band intensities were quantified using SigmaScan Pro version 5.0 (SPSS Inc., Chicago, IL, USA) and normalized to GAPDH and β-actin. Western blot experiments were performed in duplicate.
2.7. Statistical Analysis
All quantitative data are presented as mean ± standard deviation (SD) unless otherwise indicated. Statistical analyses were performed using GraphPad Prism software version 11.0.1 (GraphPad Software, San Diego, CA, USA). For comparisons among multiple experimental groups, one-way analysis of variance (ANOVA) followed by Tukey’s post hoc test was used. Because steatosis grade and inflammation grade represent ordinal histological scores, these variables were analyzed using non-parametric statistical tests. Differences among groups were evaluated using the Kruskal–Wallis test, followed by Dunn’s multiple comparison test when appropriate. A p-value < 0.05 was considered statistically significant.
4. Discussion
The present study showed that chronic EtOH exposure induced coordinated metabolic and tissue injury in both the liver and pancreas, including altered glucose homeostasis, hepatotoxic and inflammatory changes, depletion of hepatic glycogen, pancreatic islet disruption, and increased expression of the ER stress-related marker GADD153 (CHOP). These findings are broadly consistent with previous studies showing that chronic ethanol exposure causes metabolic and cellular injury in both the liver and pancreas [
29]. Within this pathophysiologic context, the present results suggest that 4HR treatment may attenuate several EtOH-induced hepatic and pancreatic alterations in the same chronic ethanol-feeding model, supporting its potential as a multi-organ protective agent.
The hepatic alterations observed in the present study (
Figure 3), including hepatocellular vacuolation, increased lipid deposition, and elevated serum ALT levels, are consistent with the characteristic features of alcohol-associated liver disease (ALD) [
29]. Ethanol metabolism through alcohol dehydrogenase and cytochrome P450 2E1 generates acetaldehyde and ROS while shifting the intracellular redox state toward an elevated NADH/NAD
+ ratio [
30,
31]. This metabolic imbalance suppresses fatty acid oxidation and promotes de novo lipogenesis, thereby contributing to the steatotic phenotype observed in the EtOH-fed group [
32,
33]. In the present study, 4HR treatment reduced hepatic vacuolar change, Oil Red O-positive lipid accumulation, and ALT elevation, suggesting that 4HR may attenuate hepatic injury associated with chronic ethanol exposure.
A striking finding of this study was the marked depletion of hepatic glycogen stores in EtOH-fed mice (
Figure 4). While hepatic steatosis reflects the accumulation of energy substrates, the concurrent loss of glycogen indicates a disturbance in hepatic energy mobilization and glucose homeostasis. Ethanol metabolism increases the hepatic NADH/NAD
+ ratio, which can suppress gluconeogenesis and alter hepatic glucose output, thereby contributing to fasting hypoglycemia and reduced glycogen storage [
1,
34,
35]. In the present study, PAS staining in the 4HR-treated group appeared slightly greater than in the EtOH group by visual inspection (
Figure 4); however, the quantitative analysis using the magenta index did not demonstrate a statistically significant recovery relative to the EtOH group. Therefore, the present data do not support the conclusion that 4HR restored hepatic glycogen reserves. This incomplete recovery may reflect the severity of chronic EtOH-induced disruption of hepatic energy metabolism, insufficient treatment duration or dose for glycogen restoration, or the possibility that 4HR primarily attenuates inflammatory, lipid-related, oxidative, and ER stress responses rather than directly normalizing hepatic glycogen storage. Nevertheless, our recent study demonstrated that 4HR enhanced hepatic GLUT4 expression, AMPK phosphorylation, and glucose uptake, and was associated with increased glycogen storage in hepatocytes in vivo [
20]. Because AMPK is a key regulator of hepatic energy metabolism [
36], these previous findings suggest that 4HR may influence hepatic glucose handling and metabolic adaptation under stress conditions, although the precise molecular mechanism was not directly established in the current chronic EtOH model.
Beyond the liver, our data underscore the high vulnerability of the pancreas to chronic EtOH exposure. The reduction in insulin immunoreactivity and the diminished insulinogenic index (
Figure 2 and
Figure 5) suggest impairment of pancreatic β-cell function. Because β-cells possess a limited endogenous antioxidant capacity, they are particularly susceptible to ROS and acetaldehyde generated during EtOH metabolism [
37,
38]. In the present study, chronic EtOH exposure was also associated with upregulation of GADD153 (CHOP) in both the liver and pancreas (
Figure 6). CHOP is a well-established downstream mediator of unresolved ER stress and is induced when the unfolded protein response shifts from adaptive signaling toward pro-apoptotic pathways [
39]. Therefore, the increased CHOP expression observed in the EtOH group is consistent with the possibility that chronic ethanol exposure triggered maladaptive ER stress in both organs. Notably, 4HR treatment reduced CHOP expression in the liver and pancreas (
Figure 6). Although the present study did not directly assess upstream ER stress regulators, this reduction suggests that 4HR may attenuate EtOH-induced cellular stress and thereby limit progression to ER stress-associated apoptotic signaling.
The protective effects of 4HR observed in this study may be related to its previously reported antioxidant and cytoprotective properties. 4HR is a phenolic compound that has been widely used as an antimicrobial agent [
40], but increasing evidence suggests that it can also modulate cellular stress responses and metabolic signaling pathways [
20]. Phenolic compounds are known to act as free radical scavengers and can reduce oxidative damage by neutralizing ROS [
41,
42]. In experimental models, 4HR has been shown to attenuate oxidative stress–induced cellular injury and influence metabolic signaling pathways associated with energy homeostasis [
43,
44]. Because chronic EtOH exposure generates substantial oxidative stress and disrupts intracellular redox balance [
45], the ability of 4HR to modulate these stress responses may contribute to its protective effects. In the present study, 4HR treatment was associated with improvement in several EtOH-induced alterations, including hepatic inflammation, pancreatic endocrine disruption, and GADD153 expression (
Figure 2,
Figure 3,
Figure 4,
Figure 5 and
Figure 6). However, the glycogen-related findings should be interpreted more cautiously, because the quantitative analysis did not demonstrate statistically significant recovery relative to the EtOH group (
Figure 4). Taken together, these findings support the possibility that 4HR may modulate metabolic and cellular stress responses under conditions of EtOH-induced injury, potentially through effects related to oxidative stress and ER stress-associated signaling. Although the precise molecular mechanisms remain to be clarified, the present results indicate that 4HR may have broader biological activities beyond its traditional antimicrobial role and may represent a candidate compound for mitigating EtOH-induced metabolic and tissue injury.
Despite the findings of this study, several limitations should be considered. First, although hepatic lipid accumulation was demonstrated by Oil Red O staining, this analysis was performed on selected frozen samples rather than the entire specimen set because frozen tissues were not available for all animals. Second, although the present study demonstrated increased expression of ER stress–related markers, including GADD153 (CHOP) and GRP78, key upstream signaling pathways such as PERK–eIF2α–ATF4 or IRE1α signaling were not evaluated, which would allow a more comprehensive characterization of ER stress activation. Third, although the results suggest that oxidative stress may contribute to EtOH-induced liver and pancreatic injury, direct measurements of ROS or antioxidant enzyme activity were not performed in this study. Fourth, this study did not include a 4HR-alone treatment group. Because 4HR itself may modulate metabolic signaling and cellular stress responses, inclusion of a 4HR-only group would have allowed a clearer distinction between its intrinsic biological effects and its protective effects against EtOH-induced injury. Fifth, although ER stress-related changes were assessed by immunohistochemistry in both organs, Western blot analysis was performed only in pancreatic tissue and not in liver tissue, which limited tissue-specific molecular comparison. Finally, the present study was conducted in a murine chronic EtOH-feeding model, and the findings should therefore be interpreted cautiously in relation to human disease. Although this model reproduces selected features of alcohol-induced metabolic and tissue injury under controlled conditions, it does not fully capture the complexity of human alcohol-related disorders, which are influenced by heterogeneous drinking patterns, nutritional status, sex differences, genetic background, comorbidities, and long-term clinical progression. In addition, 4HR administration was initiated concurrently with EtOH exposure in the present experimental design. This differs from the clinical situation of chronic alcohol use, in which hepatic and pancreatic damage may already be present before any potential intervention is started. Therefore, the present findings should be interpreted primarily as evidence of preventive or concurrent protective effects under controlled experimental conditions, rather than as therapeutic reversal of pre-existing alcohol-induced liver or pancreatic injury. Accordingly, the protective effects of 4HR observed in this study cannot be directly extrapolated to human therapeutic efficacy. Future studies should therefore include more comprehensive molecular analyses, additional oxidative stress-related markers, 4HR-only control groups, delayed-treatment models in which 4HR is administered after alcohol-induced tissue injury has been established, and complementary cellular and preclinical models to better define the mechanisms and translational relevance of 4HR in alcohol-associated metabolic and organ injury.