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16 pages, 22416 KiB  
Article
A Combinatory Therapy of Metformin and Dexamethasone Reduces the Foreign Body Reaction to Intraneural Electrodes
by Bruno Rodríguez-Meana, Jaume del Valle and Xavier Navarro
Cells 2024, 13(24), 2112; https://doi.org/10.3390/cells13242112 (registering DOI) - 20 Dec 2024
Abstract
Neural electrodes used for bidirectional communication between the nervous system and external devices like prosthetic limbs have advanced in neuroprosthetic applications. However, their effectiveness is hindered by the foreign body reaction, a natural immune response causing inflammation and fibrosis around the implanted device. [...] Read more.
Neural electrodes used for bidirectional communication between the nervous system and external devices like prosthetic limbs have advanced in neuroprosthetic applications. However, their effectiveness is hindered by the foreign body reaction, a natural immune response causing inflammation and fibrosis around the implanted device. This process involves protein adsorption, immune cell recruitment, cytokine release, and fibroblast activation, leading to a fibrous capsule formation and a decrease in electrode functionality. Anti-inflammatory and antifibrotic strategies have the potential to diminish the impact of the foreign body response. In this work, we have evaluated long-term metformin administration and short-term dexamethasone administration as a combined therapy to modulate the foreign body reaction induced by a polyimide intraneural implant in the sciatic nerve of rats. After a 12-week implant, the foreign body reaction was significantly reduced only in the group administered both drugs. Full article
(This article belongs to the Section Cells of the Nervous System)
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Figure 1
<p>Results of the functional tests in rats with a PI device implanted in the tibial nerve. (<b>A</b>) Algesimetry test results expressed as percentages of force thresholds for withdrawal (vs. contralateral control paw) of animals before the implantation and after the implantation and treatments for 12 weeks. (<b>B</b>) The plot of the SFI obtained in the walking track test. No significant differences were found.</p>
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<p>Results of the functional tests in rats with a PI intraneural device implanted in the tibial nerve. Motor nerve conduction parameters of animals before implantation (Pre) and after the implantation of PI devices for 12 weeks and drug administration. (<b>A</b>,<b>B</b>) CMAP amplitudes of GM (<b>A</b>) and PL (<b>B</b>) muscles. (<b>C</b>,<b>D</b>) CMAP onset latencies of GM (<b>C</b>) and PL (<b>D</b>) muscles. No significant differences were found in electrophysiological test results.</p>
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<p>The effect of drug administration on the FBR to intraneural implants. (<b>A</b>) The number of inflammatory Iba1+ cells in the tibial nerve of animals implanted with PI devices and administered metformin, dexamethasone, or both. (<b>B</b>,<b>C</b>) Tissue capsule thickness around the devices in the tibial nerve of animals implanted with PI receiving the different treatments. Measurements were made using immunofluorescence sections (<b>B</b>) and thin sections of epon-embedded nerves (<b>C</b>). (<b>D</b>–<b>F</b>) Correlation between the number of Iba1+ cells and capsule thickness (IF) at 2, 8, and 12 weeks after implantation. The solid lines represent the linear regression, while the shaded area represents the 95% CIL. * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001, and ### <span class="html-italic">p</span> &lt; 0.01 time variable, two-way ANOVA followed by Tukey’s multiple comparison test.</p>
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<p>Representative images of inflammatory cells (red, Iba 1+ cell) infiltrating the tibial nerve after 2, 8, and 12 weeks of the PI intraneural device implantation in the different groups studied. Note the intense fluorescence emitted by the PI. The area limited by the dotted line corresponds to the tibial fascicle of the sciatic nerve that was used to analyze the number of labeled cells. Scale bar: 100 μm.</p>
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<p>Representative images of nerve cross-sections around the PI intraneural implant after 2, 8, and 12 weeks of the implantation in the different groups studied. Nerve fibers are labeled with antibody RT97. Note the intense fluorescence emitted by the PI. The measured capsule surrounding the PI device is the area delimited by the dotted line, which separates the PI from the nerve fibers, excluding tissue-empty regions. Scale bar: 50 μm.</p>
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<p>Representative images of cross-sections of the nerves embedded in epon resin and stained with toluidine blue, corresponding to samples taken at 2, 8, and 12 weeks for the different study groups. The images show the PI implants (pointed to by a red arrow in the top-right panel) within the nerve, surrounded by the capsule and axons. The thickness of the capsule from the implant to the first axons is marked with a red bar in the top-right panel. Images were acquired and transformed to greyscale. Scale bar: 50 μm for all the panels.</p>
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<p>Representative images of the capsule composition around the PI intraneural implant. Immunohistochemical labeling for macrophages (red, Iba 1+), fibroblasts (green, CD90, arrowheads), and nuclei (blue, DAPI) of tibial nerves of animals of the different groups implanted with a PI device after 2, 8, and 12 weeks. Scale bar: 10 μm. Images with the individual channels are presented as <a href="#app1-cells-13-02112" class="html-app">Supplementary Materials Figures S1–S3</a>.</p>
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<p>Representative images of nerve sections stained with Masson’s trichrome stain, showing the deposition of collagen in the capsule around the PI intraneural implant. At 2 weeks, the pink-stained area, outlined by the dotted line, corresponds to macrophages around the implant. At 8 and 12 weeks, the pink areas around the devices decreased, while the blue-stained areas (dotted line), composed of collagen fibers, were more preeminent surrounding the implant. Scale bar: 50 and 20 μm.</p>
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11 pages, 1243 KiB  
Article
Changes in Prolactin and Insulin Resistance in PCOS Patients Undergoing Metformin Treatment: A Retrospective Study
by Tal Goldstein, Johannes Ott, Paula Katzensteiner, Robert Krysiak, Rodrig Marculescu, Magdalena Boegl and Marlene Hager
J. Clin. Med. 2024, 13(24), 7781; https://doi.org/10.3390/jcm13247781 (registering DOI) - 20 Dec 2024
Abstract
Background: Prolactin levels have been shown to influence metabolic outcomes, including insulin resistance. Metformin is known to be beneficial in polycystic ovary syndrome (PCOS) patients. PCOS women might react differently to metformin treatment depending on their baseline prolactin levels. Methods: In this retrospective [...] Read more.
Background: Prolactin levels have been shown to influence metabolic outcomes, including insulin resistance. Metformin is known to be beneficial in polycystic ovary syndrome (PCOS) patients. PCOS women might react differently to metformin treatment depending on their baseline prolactin levels. Methods: In this retrospective study, the homeostasis model assessment for insulin resistance (HOMA-IR), prolactin, luteinizing hormone (LH), follicle-stimulating hormone (FSH), the LH:FSH ratio, and total testosterone and sex hormone-binding globulin (SHBG) were measured in 75 obese/overweight women with PCOS and insulin resistance before initiation of metformin treatment and after 6–8 months. Results: At baseline, HOMA-IR was inversely correlated to SHBG (r = −0.408; p < 0.001) and prolactin (r = −0.402; p < 0.001). After 6–8 months of metformin treatment, the LH:FSH ratio and the HOMA-IR declined significantly (p < 0.05). A significant positive correlation could be shown between basal prolactin and the difference in the HOMA-IR (r = 0.233; p = 0.044). Women with lower baseline prolactin (≤14.9 ng/mL) revealed a sharper decline in HOMA-IR (−0.8, IQR −1.0; −0.5 vs. −0.6, IQR −0.8; −0.3; p = 0.049) as well as an increase in prolactin at follow-up (1.6 ng/mL, IQR −0.2;3.8 vs. −1.3, IQR −4.6;3.2; p = 0.003) compared to patients with a baseline prolactin > 14.9 ng/mL. Conclusions: In overweight/obese, insulin-resistant PCOS women, lower baseline prolactin levels are associated with higher baseline HOMA-IR levels as well as with a better response to metformin treatment. More data are necessary to prove these observations in larger populations. Full article
(This article belongs to the Special Issue Recent Developments in Gynecological Endocrinology)
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<p>Correlations between metabolic parameters. Tested using Spearman rank correlation.</p>
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<p>Pretreatment to follow-up dynamics of serum parameters: correlations.</p>
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21 pages, 725 KiB  
Review
Metabolomic Profiling of Oral Potentially Malignant Disorders and Its Clinical Values
by Nur Fatinazwa Mohd Faizal, Vui King Vincent-Chong, Anand Ramanathan, Ian C. Paterson, Lee Peng Karen-Ng and Zuraiza Mohamad Zaini
Biomedicines 2024, 12(12), 2899; https://doi.org/10.3390/biomedicines12122899 - 19 Dec 2024
Abstract
Oral potentially malignant disorders (OPMD) are a group of lesions carrying the risk of developing into cancer. The gold standard to predict which lesions are more likely to undergo malignant transformation is the presence of dysplasia histologically. However, not all dysplastic lesions progress, [...] Read more.
Oral potentially malignant disorders (OPMD) are a group of lesions carrying the risk of developing into cancer. The gold standard to predict which lesions are more likely to undergo malignant transformation is the presence of dysplasia histologically. However, not all dysplastic lesions progress, and non-dysplastic lesions may also undergo malignant transformation. Oral carcinogenesis is a complex molecular process that involves somatic alterations and the deregulation of transcriptions, protein expression, and metabolite levels. Metabolomics, which is the scientific study of metabolites, has emerged as a promising high-throughput approach to investigate the metabolic changes of small molecules in biological pathways. In this review, we summarize the data relating to the metabolomic profiling of OPMDs, which will help elucidate the complex process of oral carcinogenesis. Furthermore, we identify that among all metabolites, citrate, pyruvate, and glutamate may serve as potential biomarkers for oral leukoplakia (OLK). Notably, metformin and gluconate have been shown to target glutamate and citrate, respectively, in cancer cells. Based on these findings, we propose that targeting these metabolites in patients with OPMD could be a promising therapeutic strategy to mitigate OPMD progression and potentially reduce the risk of malignant transformation. We also discuss the limitations and future directions of metabolomics in OPMD. Understanding these important metabolites is crucial for early detection and monitoring of oral cancer progression. Full article
(This article belongs to the Section Molecular Genetics and Genetic Diseases)
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<p>Metabolomic profiling workflow from sample collection through to data analysis, illustrating each stage from sample preparation, metabolite extraction, and detection to data processing and interpretation.</p>
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<p>This diagram displays the metabolomic pathways and their related metabolites associated with oral leukoplakia.</p>
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11 pages, 378 KiB  
Article
Addiction to Smartphone Use in Smokers Diagnosed with Type 2 Diabetes in Jordan: Are Their Medications Involved?
by Omar Gammoh, Mervat Alsous, Mariam Al-Ameri, Sereene Al-Jabari, Lana Sbitan, Jafar Alsheyyab, Sa’ed Zeitoon, Suzan Hanandeh, Alaa A. A. Aljabali, Hayam Ali AlRasheed and Sireen Abdul Rahim Shilbayeh
Healthcare 2024, 12(24), 2559; https://doi.org/10.3390/healthcare12242559 (registering DOI) - 19 Dec 2024
Abstract
Background/Objectives: The prevalence of type 2 diabetes and smoking is increasing in developing countries and is associated with deteriorated health outcomes. Also, addiction to smartphone use is an alarming behavior that can be associated with clinical factors. This study aimed to determine the [...] Read more.
Background/Objectives: The prevalence of type 2 diabetes and smoking is increasing in developing countries and is associated with deteriorated health outcomes. Also, addiction to smartphone use is an alarming behavior that can be associated with clinical factors. This study aimed to determine the prevalence and clinical correlates of smartphone addiction in smokers with T2DM in Jordan, with a particular focus on the role of medications. Methods: This cross-sectional study recruited patients from Prince Hamza Hospital, Jordan, according to pre-defined criteria. Besides demographics and clinical information, this study used the validated Arabic version of the Smartphone Addiction Scale to assess addiction to smartphones and a multivariable regression analysis to identify the correlates of smartphone addiction. Results: Data analyzed from 346 patients revealed that 117 (33.8%) of these participants reported addiction to smartphones. Patients who had been diagnosed with T2DM for less than five years (aOR = 3.30; 95% CI = 1.43–7.60), who were “employed” (aOR = 8.85; 95% CI = 2.20–35.64), and who were “retired” (aOR = 11.46; 95% CI = 2.72–48.23) all reported a significantly (p < 0.05) higher odds of smartphone addiction. In contrast, patients on “sulfonylurea” (aOR = 0.18; 95% CI = 0.06–0.53); “metformin” (aOR = 0.19; 95% CI = 0.06–0.66), and “gabapentin” (aOR = 0.16; 95% CI = 0.04–0.67) and those with “comorbid hypertension” (aOR = 0.15; 95% CI = 0.06–0.38) had a significantly (p < 0.05) lower odds of smartphone addiction. Conclusion: These alarming results require adequate action from the health authorities to raise awareness of adopting positive behaviors that could improve the well-being of this high-risk population. Full article
(This article belongs to the Special Issue Psychodiabetology: The Psycho-Social Challenges of Diabetes)
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<p>Study flow chart.</p>
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13 pages, 2145 KiB  
Article
Effect of Metformin on Meibomian Gland Epithelial Cells: Implications in Aging and Diabetic Dry Eye Disease
by Leon Rescher, Swati Singh, Ingrid Zahn, Friedrich Paulsen and Martin Schicht
Life 2024, 14(12), 1682; https://doi.org/10.3390/life14121682 - 18 Dec 2024
Viewed by 222
Abstract
Background: Metformin, a commonly prescribed medication for managing diabetes, has garnered increasing interest as a potential therapeutic option for combating cancer and aging. Methods: The current study investigated the effects of metformin treatment on human meibomian gland epithelial cells (hMGECs) at morphological, molecular, [...] Read more.
Background: Metformin, a commonly prescribed medication for managing diabetes, has garnered increasing interest as a potential therapeutic option for combating cancer and aging. Methods: The current study investigated the effects of metformin treatment on human meibomian gland epithelial cells (hMGECs) at morphological, molecular, and electron microscopy levels. HMGECs were stimulated in vitro with 1 mM, 5 mM, and 10 mM metformin for 24, 48, and 72 h. The assessed outcomes were cell proliferation assays, lipid production, ultrastructural changes, levels of IGF-1, Nrf2, HO-1, apoptosis-inducing factor 1 (AIF1) at the protein level, and the expression of oxidative stress factors (matrix metallopeptidase 9, activating transcription factor 3, CYBB, or NADPH oxidase 2, xanthine dehydrogenase). Results: Morphological studies showed increased lipid production, the differentiation of hMGECs after stimulation with metformin, and the differentiation effects of undifferentiated hMGECs. Proliferation tests showed a reduction in cell proliferation with increasing concentrations over time. AIF1 apoptosis levels were not significantly regulated, but morphologically, the dying cells at a higher concentration of 5-10 mM showed a rupture and permeabilization of the plasma membrane, a swelling of the cytoplasm, and vacuolization after more than 48 h. The IGF-1 ELISA showed an irregular expression, which mostly decreased over time. Only at 72 h and 10 mM did we have a significant increase. Mitochondrial metabolic markers such as Nrf2 significantly increased over time, while HO-1 decreased partially. The RT-PCR showed a significant increase in MMP9, CYBB, XDH, and ATF with increasing time and metformin concentrations, indicating cell stress. Conclusions: Our results using a cell line suggest that metformin affects the cellular physiology of meibomian gland epithelial cells and induces cell stress in a dose- and duration-dependent manner, causing changes in their morphology and ultrastructure. Full article
(This article belongs to the Special Issue Eye Diseases: Diagnosis and Treatment, 3rd Edition)
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<p>Morphology and lipid bodies. (<b>A</b>) Electron micrograph of stimulated hMGECs at different time points and concentrations. Red points = lipid bodies, n = nucleuls, scale bar = 5 μm. (<b>B</b>) Quantification of the percentage of lipid bodies at different time points and concentrations. Statistic is the mean + SEM, ns = not significant; ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001, One-Way ANOVA (Kruskal–Wallis with Dunn’s test (uncorrected)).</p>
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<p>Lipi-Red staining, gene expression of PPARγ and CYP1A1, and cell proliferation assay of stimulated hMGECs. (<b>A</b>) Representative images of lipogenesis in differentiated hMGECs after treatment with metformin (0, 1 and 5 mmol) at 24, 48 and 72 h, visualized by Lipi-Red staining. Lipi-Red staining exhibits high selectivity for lipid droplets. An increase in lipid droplets within the cells was still observed up to 72 h. n = 4. Scale bar = 50 µm. (<b>B</b>) Differentiation effects of undifferentiated hMGECs with a slight increase in the amount of Lipi-Red staining. n = 4. Scale bar = 50 µm. (<b>C</b>,<b>D</b>) Diagrams showing the differences in gene expression of PPAR<span class="html-italic"><b>γ</b></span> and CYP1A1 in hMGEC (n = 4). The data display the mean ± SEM from n = 4 per group. The raw data were normalized relative to the expression of the control (relative to control = 1, above 1 mean upregulated, below 1 means downregulated), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, **** <span class="html-italic">p</span> &lt; 0.0001 Kruskal–Wallis with Dunn’s (uncorrected). (<b>E</b>,<b>F</b>) Proliferation assay of stimulated diff. and undiff. hGMECs at different time points and concentrations. Statistic is the mean + SEM, ns = not significant; * <span class="html-italic">p</span> &lt; 0.05, **** <span class="html-italic">p</span> &lt; 0.0001, One-Way ANOVA (Kruskal–Wallis with Dunn’s test (uncorrected)).</p>
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<p>ELISA quantification of Nrf2 (<b>A</b>), HO-1 (<b>B</b>), AIF1 (<b>C</b>), and IGF-1 (<b>D</b>) of stimulated hMGECs. The raw data were normalized relative to the expression of the control (relative to control = 1, above 1 mean upregulated, below 1 means downregulated), statistic is the mean +/− SEM relative to the mean of the control (n = 3); * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01 One-Way ANOVA (Kruskal–Wallis with Dunn’s test (uncorrected)).</p>
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<p>Expression of cell and oxidative stress marker of ATF3 (<b>A</b>), MMP9 (<b>B</b>), CYBB (<b>C</b>) and XDH (<b>D</b>)<b>.</b> Diagrams showing the differences in gene expression in hMGEC (n = 4). The data display the mean ± SEM from n = 4 per group. The raw data were normalized relative to the expression of the control (relative to control = 1, above 1 mean upregulated, below 1 means downregulated), * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, **** <span class="html-italic">p</span> &lt; 0.0001 One-Way ANOVA (Kruskal–Wallis with Dunn’s test (uncorrected)).</p>
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34 pages, 2227 KiB  
Review
Metformin in Antiviral Therapy: Evidence and Perspectives
by Iryna Halabitska, Pavlo Petakh, Oleh Lushchak, Iryna Kamyshna, Valentyn Oksenych and Oleksandr Kamyshnyi
Viruses 2024, 16(12), 1938; https://doi.org/10.3390/v16121938 - 18 Dec 2024
Viewed by 257
Abstract
Metformin, a widely used antidiabetic medication, has emerged as a promising broad-spectrum antiviral agent due to its ability to modulate cellular pathways essential for viral replication. By activating AMPK, metformin depletes cellular energy reserves that viruses rely on, effectively limiting the replication of [...] Read more.
Metformin, a widely used antidiabetic medication, has emerged as a promising broad-spectrum antiviral agent due to its ability to modulate cellular pathways essential for viral replication. By activating AMPK, metformin depletes cellular energy reserves that viruses rely on, effectively limiting the replication of pathogens such as influenza, HIV, SARS-CoV-2, HBV, and HCV. Its role in inhibiting the mTOR pathway, crucial for viral protein synthesis and reactivation, is particularly significant in managing infections caused by HIV, CMV, and EBV. Furthermore, metformin reduces oxidative stress and reactive oxygen species (ROS), which are critical for replicating arboviruses such as Zika and dengue. The drug also regulates immune responses, cellular differentiation, and inflammation, disrupting the life cycle of HPV and potentially other viruses. These diverse mechanisms suppress viral replication, enhance immune system functionality, and contribute to better clinical outcomes. This multifaceted approach highlights metformin’s potential as an adjunctive therapy in treating a wide range of viral infections. Full article
(This article belongs to the Special Issue Broad-Spectrum Antivirals and Interaction with Viruses: 2nd Edition)
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<p>General antiviral mechanisms of metformin. This figure summarizes the general antiviral effects of metformin, which indirectly inhibit viral replication by targeting host cellular pathways. Metformin activates AMPK, reducing energy and lipid synthesis required for viral replication. It inhibits the mTOR pathway, limiting viral protein production, and disrupts lipid metabolism, impairing assembly and egress of viral particles. Metformin also downregulates host viral receptors, such as ACE2 (SARS-CoV-2), and modulates the immune response by reducing pro-inflammatory cytokines (e.g., IL-6, TNF-α) and suppressing immune activation, which decreases latent reservoirs (e.g., HIV).</p>
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<p>This schematic illustrates the antiviral effects of metformin across different stages of the viral replication cycle for SARS-CoV-2, HIV, HCV, HBV, and influenza. Metformin inhibits viral entry by downregulating ACE2 receptor expression (SARS-CoV-2) and disrupting lipid rafts (influenza). It suppresses genome replication by inhibiting viral polymerase activity (influenza, HCV), cccDNA transcription (HBV), and reverse transcription through NF-κB inhibition (HIV). Metformin reduces viral protein synthesis by inhibiting the mTOR pathway, affecting multiple viruses, including SARS-CoV-2. It impairs viral assembly and maturation by disrupting lipid metabolism (HCV, HBV, influenza) and inhibits viral egress by interfering with lipid-mediated budding (influenza, HBV). Additionally, metformin modulates the immune response by reducing inflammation and cytokine levels (e.g., IL-6 and TNF-α), mitigating cytokine storms (SARS-CoV-2), and decreasing immune activation to shrink latent reservoirs (HIV). Figure was designed using BioRender.com.</p>
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18 pages, 1434 KiB  
Review
Interventions Targeting Insulin Resistance in Patients with Type 1 Diabetes: A Narrative Review
by Andreea Herascu, Vlad-Florian Avram, Laura Gaita, Sima Alexandra, Delia-Viola Reurean-Pintilei and Bogdan Timar
Medicina 2024, 60(12), 2067; https://doi.org/10.3390/medicina60122067 - 16 Dec 2024
Viewed by 345
Abstract
Background and Objectives: Insulin resistance (IR) is the most important factor involved in the pathogenesis of type 2 diabetes but may also develop in type 1 diabetes (T1DM). Developing IR in patients with T1DM may generate a burden in achieving glycemic targets and [...] Read more.
Background and Objectives: Insulin resistance (IR) is the most important factor involved in the pathogenesis of type 2 diabetes but may also develop in type 1 diabetes (T1DM). Developing IR in patients with T1DM may generate a burden in achieving glycemic targets and may deteriorate the overall prognosis. This review aims to describe the pathogenesis of IR in T1DM, summarize the common associations of IR with other conditions in patients with T1DM, describe the consequences of developing IR in these patients, and present the interventions that target IR in people with T1DM. Results: The occurrence of IR in T1DM is multifactorial; however, it is frequently linked to overweight or obesity and sedentary lifestyle. Besides impairments in glycemic control and increased insulin requirements, the presence of IR is associated with an increased cardiovascular risk in patients with T1DM. Considering that patients with T1DM are insulin-treated, IR may be evaluated only using surrogate biomarkers, the most frequently used being the estimated glucose disposal rate. The most important interventions that are shown to be feasible in improving insulin sensitivity in patients with T1DM are lifestyle optimizations, including nutrition therapy or physical activity and pharmacotherapy with metformin, sodium-glucose cotransporter-2 inhibitors, glucagon-like peptide-1 receptor agonists, and thiazolidinediones. Conclusions: Targeting the improvement of IR in patients with T1DM is a key element in achieving optimal glycemic control, as well as improving the overall patient’s prognosis besides glycemic control. Full article
(This article belongs to the Section Endocrinology)
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<p>Main characteristics of insulin resistance. Insulin resistant states are characterized by increased hepatic glucose production, decreased uptake of insulin in peripheral tissues, and a downregulation of GLUT transporters. GLUT-Glucose transporter.</p>
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<p>Metabolic modifications in energy metabolism leading to insulin resistance and hyperglycemia. The reduction in mitochondrial count in the insulin-resistant state leads to a reduction in ATP production, leaving the insulin receptor’s tyrosine kinase domain with impaired function. This leads to a reduction in post-receptor response and downregulation of GLUT transporters, which results in impaired glucose uptake and hyperglycemia. ROS—reactive oxygen species; OXPHOS—oxidative phosphorylation; ATP—adenosine triphosphate; ADP—fadenosine diphosphate; TK—Tyrosine kinases; GLUT—Glucose transporter.</p>
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11 pages, 716 KiB  
Article
Experimental and Theoretical Design on the Development of Matrix Tablets with Multiple Drug Loadings Aimed at Optimizing Antidiabetic Medication
by Mousa Sha’at, Lacramioara Ochiuz, Cristina Marcela Rusu, Maricel Agop, Alexandra Barsan (Bujor), Monica Stamate Cretan, Mihaela Hartan and Adrian Florin Spac
Pharmaceutics 2024, 16(12), 1595; https://doi.org/10.3390/pharmaceutics16121595 - 14 Dec 2024
Viewed by 719
Abstract
Background: Diabetes is a growing global health crisis that requires effective therapeutic strategies to optimize treatment outcomes. This study aims to address this challenge by developing and characterizing extended-release polymeric matrix tablets containing metformin hydrochloride (M-HCl), a first-line treatment for type 2 diabetes, [...] Read more.
Background: Diabetes is a growing global health crisis that requires effective therapeutic strategies to optimize treatment outcomes. This study aims to address this challenge by developing and characterizing extended-release polymeric matrix tablets containing metformin hydrochloride (M-HCl), a first-line treatment for type 2 diabetes, and honokiol (HNK), a bioactive compound with potential therapeutic benefits. The objective is to enhance glycemic control and overall therapeutic outcomes through an innovative dual-drug delivery system. Methods: The tablets were formulated using hydrophilic polymers, such as Carbopol® 71G NF and Noveon® AA-1. The release kinetics of M-HCl and HNK were investigated through advanced mathematical models, including fractal and multifractal dynamics, to capture the non-linear and time-dependent release processes. Traditional kinetic models (zero-order, first-order, Higuchi equations) were also evaluated for comparison. In vitro dissolution studies were conducted to determine the release profiles of the active ingredients under varying polymer concentrations. Results: The study revealed distinct release profiles for the two active ingredients. M-HCl exhibited a rapid release phase, with 80% of the drug released within 4–7 h depending on polymer concentration. In contrast, HNK demonstrated a slower release profile, achieving 80% release after 9–10 h, indicating a greater sensitivity to polymer concentration. At shorter intervals, drug release followed classical kinetic models, while multifractal dynamics dominated at longer intervals. Higher polymer concentrations resulted in slower drug release rates due to the formation of a gel-like structure upon hydration, which hindered drug diffusion. The mechanical properties and stability of the matrix tablets confirmed their suitability for extended-release applications. Mathematical modeling validated the experimental findings and provided insights into the structural and time-dependent factors influencing drug release. Conclusions: This study successfully developed dual-drug extended-release matrix tablets containing metformin hydrochloride and honokiol, highlighting the potential of hydrophilic polymers to regulate drug release. The findings emphasize the utility of advanced mathematical models for predicting release kinetics and underscore the potential of these formulations to improve patient compliance and therapeutic outcomes in diabetes management. Full article
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<p>In vitro dissolution profile of (<b>a</b>) M-HCl and (<b>b</b>) HNK from tested prolonged-release tablets.</p>
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<p>(<b>a</b>) The dependence of the drug released vs. time <math display="inline"><semantics> <mrow> <mi>τ</mi> </mrow> </semantics></math> for various values of <span class="html-italic">s</span> parameters, at low time-sequences; (<b>b</b>) behaviors associated with fractional drug release effects.</p>
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19 pages, 4683 KiB  
Article
Multifractal Analysis and Experimental Evaluation of MCM-48 Mesoporous Silica as a Drug Delivery System for Metformin Hydrochloride
by Mousa Sha’at, Maria Ignat, Liviu Sacarescu, Adrian Florin Spac, Alexandra Barsan (Bujor), Vlad Ghizdovat, Emanuel Nazaretian, Catalin Dumitras, Maricel Agop, Cristina Marcela Rusu and Lacramioara Ochiuz
Biomedicines 2024, 12(12), 2838; https://doi.org/10.3390/biomedicines12122838 - 13 Dec 2024
Viewed by 361
Abstract
Background: This study explored the potential of MCM-48 mesoporous silica matrices as a drug delivery system for metformin hydrochloride, aimed at improving the therapeutic management of type 2 diabetes mellitus. The objectives included the synthesis and characterization of MCM-48, assessment of its [...] Read more.
Background: This study explored the potential of MCM-48 mesoporous silica matrices as a drug delivery system for metformin hydrochloride, aimed at improving the therapeutic management of type 2 diabetes mellitus. The objectives included the synthesis and characterization of MCM-48, assessment of its drug loading capacity, analysis of drug release profiles under simulated physiological conditions, and the development of a multifractal dynamics-based theoretical framework to model and interpret the release kinetics. Methods: MCM-48 was synthesized using a sol–gel method and characterized by SEM-EDX, TEM, and nitrogen adsorption techniques. Drug loading was performed via adsorption at pH 12 using metformin hydrochloride solutions of 1 mg/mL (P-1) and 3 mg/mL (P-2). In vitro dissolution studies were conducted to evaluate the release profiles in simulated gastric and intestinal fluids. A multifractal dynamics model was developed to interpret the release kinetics. Results: SEM-EDX confirmed the uniform distribution of silicon and oxygen, while TEM images revealed a highly ordered cubic mesoporous structure. Nitrogen adsorption analyses showed a high specific surface area of 1325.96 m²/g for unloaded MCM-48, which decreased with drug loading, confirming efficient incorporation of metformin hydrochloride. The loading capacities were 59.788 mg/g (P-1) and 160.978 mg/g (P-2), with efficiencies of 99.65% and 89.43%, respectively. In vitro dissolution studies showed a biphasic release profile: an initial rapid release in gastric conditions followed by sustained release in intestinal fluids, achieving cumulative releases of 92.63% (P-1) and 82.64% (P-2) after 14 hours. The multifractal dynamics-based theoretical release curves closely matched the experimental data. Conclusions: MCM-48 mesoporous silica effectively enhanced metformin delivery, offering a controlled release profile well-suited for type 2 diabetes management. The multifractal theoretical framework provided valuable insights into drug release dynamics, contributing to the advancement of innovative drug delivery systems. Full article
(This article belongs to the Special Issue Nano-Based Drug Delivery and Drug Discovery)
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<p>Elemental composition (EDX spectra) of MCM-48 sample unloaded (<b>a</b>); MCM-48 sample P-1 (<b>b</b>); and MCM-48 sample P-2 (<b>c</b>).</p>
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<p>SEM images: MCM-48 sample unloaded (<b>a</b>); MCM-48 sample P-1 (<b>b</b>); and MCM-48 sample P-2 (<b>c</b>).</p>
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<p>TEM images of MCM-48 sample unloaded; MCM-48 sample P-1 and MCM-48 sample P-2: (<b>a</b>) 1 µm, (<b>b</b>) 200 nm, and (<b>c</b>) 50 nm.</p>
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<p>TEM images of MCM-48 sample unloaded; MCM-48 sample P-1 and MCM-48 sample P-2: (<b>a</b>) 1 µm, (<b>b</b>) 200 nm, and (<b>c</b>) 50 nm.</p>
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<p>Nitrogen adsorption isotherm of MCM-48 sample unloaded (<b>a</b>); MCM-48 sample P-1 (<b>b</b>); and MCM-48 sample P-2 (<b>c</b>).</p>
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<p>In vitro dissolution release of metformin from mesoporous silica.</p>
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<p>Release rate dependences: (<b>a</b>) 3D plot in non-dimensional coordinates; (<b>b</b>) 2D plot in non-dimensional coordinates; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>≡</mo> <mi>ρ</mi> <mfenced separators="|"> <mrow> <mi>x</mi> <mo>,</mo> <mn>2</mn> </mrow> </mfenced> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>≡</mo> <mi>ρ</mi> <mfenced separators="|"> <mrow> <mn>2</mn> <mo>,</mo> <mi>y</mi> </mrow> </mfenced> </mrow> </semantics></math>.</p>
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<p>Release rate dependences: (<b>a</b>) 3D plot in non-dimensional coordinates; (<b>b</b>) 2D plot in non-dimensional coordinates; (<b>c</b>) <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>≡</mo> <mi>ρ</mi> <mfenced separators="|"> <mrow> <mi>x</mi> <mo>,</mo> <mn>2</mn> </mrow> </mfenced> </mrow> </semantics></math>; (<b>d</b>) <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>≡</mo> <mi>ρ</mi> <mfenced separators="|"> <mrow> <mn>2</mn> <mo>,</mo> <mi>y</mi> </mrow> </mfenced> </mrow> </semantics></math>.</p>
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<p>Drug release kinetics for various fractality degrees expressed as different resolution scales: 1, 1.5, and 2 (in coordinates <math display="inline"><semantics> <mrow> <mi>ϕ</mi> <mo>≡</mo> <mi>θ</mi> <mo>,</mo> <mo> </mo> <mi>y</mi> <mo>≡</mo> <mi>τ</mi> </mrow> </semantics></math>). The dot circle indicates where the resolution scale changes.</p>
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23 pages, 49231 KiB  
Article
Scientific Validation of Using Active Constituent as Research Focus in Traditional Chinese Medicine: Case Study of Pueraria lobata Intervention in Type 2 Diabetes
by Yaping Chen, Qiuqi Wen, Meng Lin, Bing Yang, Liang Feng and Xiaobin Jia
Pharmaceuticals 2024, 17(12), 1675; https://doi.org/10.3390/ph17121675 - 12 Dec 2024
Viewed by 392
Abstract
Objectives: Traditional Chinese Medicine (TCM) is recognized for its complex composition and multiple therapeutic targets. However, current pharmacological research often concentrates on extracts or individual components. The former approach faces numerous challenges, whereas the latter oversimplifies and disregards the synergistic effects among TCM [...] Read more.
Objectives: Traditional Chinese Medicine (TCM) is recognized for its complex composition and multiple therapeutic targets. However, current pharmacological research often concentrates on extracts or individual components. The former approach faces numerous challenges, whereas the latter oversimplifies and disregards the synergistic effects among TCM components. This study aims to investigate the scientific validity of focusing on the active constituent in TCM efficacy research, using Pueraria lobata (P. lobata) as a case study. Methods: Through spectrum-effect correlation analysis, network pharmacology, and molecular docking, five active ingredients of P. lobata were identified: puerarin, formononetin, tuberosin, 4′,7-dihdroxy-3′-methoxyisoflavone, and Daidzein-4,7-diglucoside. These ingredients were combined to form an active constituent, which was subsequently tested in vitro and in vivo. Results: In in vitro, the active constituent exhibited superior effects in enhancing glucose consumption and glycogen synthesis compared to both the P. lobata extract and individual components. In vivo experiments demonstrated that medium and high doses of the active constituent were significantly more effective than P. lobata extract, with effects comparable to those of metformin in reducing blood sugar levels. Conclusions: The active constituent effectively improves T2DM by lowering blood glucose levels, promoting glycogen synthesis, and modulating glycolipid metabolism. Both in vitro and in vivo studies indicate that it outperformed the P. lobata extract and individual components. This study establishes the scientific validity and feasibility of utilizing the active constituent as the focus for investigating the efficacy of TCM, thereby offering novel insights and a new research paradigm for future TCM investigations. Full article
(This article belongs to the Section Natural Products)
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Graphical abstract

Graphical abstract
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<p>Results of spectrum-effect correlation. (<b>A</b>) Total ions chromatogram of the blood components of <span class="html-italic">P. lobata</span> extract in rats; (<b>B</b>) Heat map of the correlation between the blood components of <span class="html-italic">P. lobata</span> and the serum indicators; (<b>C</b>) The correlation between the components of <span class="html-italic">P. lobata</span> and comprehensive evaluation indicator, the red line indicates a correlation of 0.70.</p>
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<p>(<b>A</b>) The shared targets of <span class="html-italic">P. lobata</span> in the TCMSP and TCMID databases, along with differential genes associated with T2DM from the GeneCards, OMIM, and TTD datasets; (<b>B</b>) The compound-target network illustrating 12 candidate active ingredients and their 167 potential targets for <span class="html-italic">P. lobata</span> in T2DM; (<b>C</b>) The PPI network of genes involved in the treatment of T2DM with <span class="html-italic">P. lobata</span>; (<b>D</b>) Outcomes representing the top 16 significant targets within the PPI network as determined by CytoNCA.</p>
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<p>(<b>A</b>) GO analysis for 167 protein targets in the treatment of T2DM with <span class="html-italic">P. lobata</span>; (<b>B</b>) KEGG pathway analysis involving 167 protein targets related to <span class="html-italic">P. lobata</span> therapy for T2DM.</p>
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<p>Results of the molecular docking. (<b>A</b>) Heat map of the docking binding energy between 12 active compounds and five core targets; (<b>B</b>) Pattern diagram of molecular docking.</p>
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<p>Cell viability in IR-HepG2 cells induced by INS. Puerarin (<b>A</b>), formononetin (<b>B</b>), tuberosin (<b>C</b>), Daidzein-4,7-diglucoside (<b>D</b>), 4′,7-dihdroxy-3′-methoxyisoflavone (<b>E</b>), <span class="html-italic">P. lobata</span> extract (<b>F</b>), and active constituent (<b>G</b>).</p>
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<p>Beneficial effect curve of puerarin (<b>A</b>), formononetin (<b>B</b>), tuberosin (<b>C</b>), Daidzein-4,7-diglucoside (<b>D</b>), 4′,7-dihdroxy-3′-methoxyisoflavone (<b>E</b>), <span class="html-italic">P. lobata</span> extract (<b>F</b>), and active constituent (<b>G</b>); effect of <span class="html-italic">P. lobata</span> on glucose consumption (<b>H</b>) and glycogen levels (<b>I</b>) in IR-HepG2 cells. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Hypoglycemic effect of <span class="html-italic">P. lobata</span> extract and active constituent on STZ-induced T2DM mice. Food intake (<b>A</b>), water intake (<b>B</b>), FBG levels (<b>C</b>), and OGTT (<b>D</b>,<b>E</b>) of the mice treated with <span class="html-italic">P. lobata</span> extract and active constituent for 10 weeks. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Influence of <span class="html-italic">P. lobata</span> on insulin sensitivity in STZ-induced T2DM mice. (<b>A</b>) Levels of insulin in serum; (<b>B</b>) HOMA-IR values; (<b>C</b>) HOMA-β values; (<b>D</b>) Insulin tolerance test (ITT); (<b>E</b>) AUC for ITT. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Improvement of <span class="html-italic">P. lobata</span> extract and active constituent on biochemical indicators in STZ-induced T2DM mice. Levels of T-CHO (<b>A</b>), TG (<b>B</b>), LDL-C (<b>C</b>), HDL-C (<b>D</b>), GHb (<b>E</b>), and KB (<b>F</b>) in serum. In comparison to the control group, <sup>##</sup> <span class="html-italic">p</span> &lt; 0.01; when contrasted with the model group, * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01.</p>
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<p>Histological evaluation of the effects of <span class="html-italic">P. lobata</span> extract and active constituent on liver and pancreas tissues in STZ-induced T2DM mice. In the results of H&amp;E staining (<b>A</b>) and PAS staining (<b>B</b>) of liver (magnification, ×400), and H&amp;E staining of pancreas (<b>C</b>) (magnification, ×100), a–g represent the Control group, Model group, Metformin (Met) group, PUE group, and AC groups (50, 100, 200 mg/kg).</p>
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18 pages, 4084 KiB  
Article
Behavioral Test Scores Could Be Linked to the Protein Expression Values of p62 and GLAST in the Brains of Mice with Neuropsychiatric Disorder-Related Behaviors
by Yuka Ikeda, Moeka Nakashima, Sayuri Yoshikawa, Kurumi Taniguchi, Naoko Suga and Satoru Matsuda
Biology 2024, 13(12), 1039; https://doi.org/10.3390/biology13121039 - 11 Dec 2024
Viewed by 617
Abstract
Neuropsychiatric disorders are a public health concern, in which diagnosis and prognosis may be based on clinical symptoms that might often diverge across individuals. Schizophrenia is a major neuropsychiatric disorder, which may affect millions worldwide. However, the biochemical alterations of this disorder have [...] Read more.
Neuropsychiatric disorders are a public health concern, in which diagnosis and prognosis may be based on clinical symptoms that might often diverge across individuals. Schizophrenia is a major neuropsychiatric disorder, which may affect millions worldwide. However, the biochemical alterations of this disorder have not been comprehensively distinguished. In addition, there is less confidence in finding specific biomarkers for neuropsychiatric disorders, including schizophrenia, but rather a specific characteristic behavioral pattern. In general, maternal immune activation is considered to be one of the important factors in the development of neuropsychiatric disorders. Here, a mouse model of neuropsychiatric disorders was created, in which poly I:C, sodium dextran sulfate (DSS), and κ-carrageenan (CGN) were utilized for maternal immune activation during the pregnancies of mother mice. Subsequently, we examined the link between biochemical changes in p62 and/or glutamate aspartate transporter (GLAST) in the brains of offspring mice and the alteration in their experimental behavior scores. Furthermore, a therapeutic study was conducted on these neuropsychiatric disorder model mice using butyric acid, piceid, and metformin. It was found that some molecules could effectively improve the behavioral scores of neuropsychiatric model mice. Importantly, significant correlations between certain behavioral scores and p62 protein expression, as well as between the scores and GLAST expression, were recognized. This is the first report of a significant correlation between pathological behaviors and biochemical alterations in neuropsychiatric disorder model animals. This concept could contribute to the development of innovative treatments to at least ameliorate the symptoms of several psychiatric disorders. Full article
(This article belongs to the Special Issue The Convergence of Neuroscience and ICT: From Data to Insights)
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<p>Preparation of psychiatric disorders model mice with behavioral alteration: Schematic representation of the treatment design for making schizophrenia like disorder model mice is shown. Briefly, female ICR mice were mated with male ICR mice. After the day when the vaginal plug was confirmed as her pregnancy (GD1), the mother mice received with DSS + CGN water from GD 8 to 11 days. And 5 mg/kg body weight of Poly I:C was administered intraperitoneally at the GD10. Several numbers of pups were born at PD1. The pup mice were separated from their mothers at PD22. Pup mice were given 2 mg/L DEHP from PD125 at least to PD215. After that, mice were conducted for eight times of behavioral test. Black arrows show the day of behavioral tests. DSS: Dextran sodium sulfate, CGN: κ-Carrageenan.</p>
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<p>Behavioral tests: (<b>A</b>) The image of the descent step test. The mouse placed on the box and be measured whether or not the mice descended from the box within one minute. (<b>B</b>) The image of the modified three chambers test. At first, the mouse was placed in (I), and we measured which chamber the mouse was inside after 25 s. (<b>C</b>) The image of the light/dark room test. Mice were allowed to explore freely for 2 min, and we measured the time spent in the light area.</p>
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<p>The psychological behavior index (PBI) scores of each mouse: The PBI score was calculated with a sum of three behavioral tests scores for each of individual pups. The grey bar shows the mean value of 8 times of PBI scores during the whole preliminary study. Black bar shows the last behavioral test score at PD278 before dissection of mice. In consequence of the death of pups before final dissection, some black bars are missing (at m8, m11, and m12).</p>
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<p>Some protein expressions in the brain: (<b>A</b>) The representative image of p62, GLAST, and GAPDH expression in the brain of individual mouse. The lane 7 shows the result of untreated standard mouse (<b>B</b>) The protein expression of p62 was measured and normalized to GAPDH by Western blot. (<b>C</b>) The protein expression of GLAST was measured and normalized to GAPDH by Western blot. GLAST; a glutamate transporter protein. (<b>D</b>) Positive correlation between the p62 and GLAST protein expression. r = 0.484, <span class="html-italic">p</span> = 0.111, y = 0.8487x + 0.273.</p>
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<p>Overview of correlation analyses for the preset preliminary study: The image of the relation of behavioral tests, p62, and GLAST. The correlation of behavioral tests and the p62 expression is shown in <a href="#biology-13-01039-f006" class="html-fig">Figure 6</a>B,D. The correlation of behavioral tests and the GLAST expression is shown in <a href="#biology-13-01039-f006" class="html-fig">Figure 6</a>A,C. The correlation between p62 and GLAST expression is shown in <a href="#biology-13-01039-f004" class="html-fig">Figure 4</a>D.</p>
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<p>The correlation between behavioral tests score and the protein expression of p62 and GLAST: (<b>A</b>) Positive correlation between the last behavioral test score and p62 protein expression. r = 0.82, <span class="html-italic">p</span> = 0.001, y = 0.1399x + 0.4459 (<b>B</b>) Positive correlation between the last behavioral test score and GLAST protein expression. r = 0.58, <span class="html-italic">p</span> = 0.047, y = 0.1742x + 0.5219 (<b>C</b>) Positive correlation between the mean behavioral test score and p62 protein expression. r = 0.63, <span class="html-italic">p</span> = 0.028, y = 0.2028x + 0.2569 (<b>D</b>) Positive correlation between the mean behavioral test score and GLAST protein expression. r = 0.60, <span class="html-italic">p</span> = 0.039, y = 0.3381x + 0.0689.</p>
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<p>Study design. Twenty-three psychiatric disorder model mice (SZ) previously made as <a href="#biology-13-01039-f001" class="html-fig">Figure 1</a> were divided into three groups of SZ/TB (1.2% Trehalose, 60 ppm Butyric Acid), SZ/PB (5 ppm Piceid, 60 ppm Butyric Acid), SZ/MB (0.15% Metformin, 60 ppm Butyric Acid) and sacrificed on day 42 and 61. All mice were conducted for behavioral tests on the arrowhead days. The day of behavioral tests is shown a black arrow. Dotted arrows show the day of sacrifice.</p>
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<p>Water intake, food intake, and the brain weight in mice: (<b>A</b>) Water intake was quantified once a week throughout the experiment. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern). Values are expressed as the mean ± SE, n = 7/group. The data were tested by one-way ANOVA. (<b>B</b>) Food intake was quantified once a week throughout the experiment. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern). Values are expressed as the mean ± SE, n = 7/group. The data were tested by one-way ANOVA. (<b>C</b>) The brain weight was quantified after the sacrifice of the mouse. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern). Values are expressed as the mean ± SE. The data were tested by one-way ANOVA.</p>
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<p>The expression of p62 and GLAST proteins in the brain: (<b>A</b>) The image of p62, GLAST and GAPDH expression by Western blot analysis. Ct shows the untreated normal mouse, whereas SZ shows psychiatric disorder model mice previously made as shown in <a href="#biology-13-01039-f001" class="html-fig">Figure 1</a>. (<b>B</b>) The protein expression of p62 (60 kDa) was quantified and normalized to that of GAPDH by Western blot. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern), Ct (white), SZ (black). Values are expressed as the mean ± SE. The data were tested by one-way ANOVA. (<b>C</b>) The protein expression of GALST (98 kDa) was quantified and normalized to that of GAPDH by Western blot. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern), Ct (white), SZ (black). Values are expressed as the mean ± SE. The data were tested by one-way ANOVA.</p>
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<p>Improvement in the PBI score and the correlation between test score and the protein expression of p62/GLAST: (<b>A</b>) Alteration in the PBI score (score change) was calculated by the following equation, score change = (average of three times of PBI score before the treatment) − (average of at least five times of PBI score after the treatment). Value of the score change is expressed as the mean ± SE. SZ/TB group (gray), SZ/PB group (right-upper diagonal), SZ/MB group (mesh pattern), Ct (white), SZ (black). (<b>B</b>) Positive correlation between the mean behavioral test score and p62 protein expression. r = 0.68, <span class="html-italic">p</span> = 0.02, y = 0.834x − 1.403. (<b>C</b>) Positive correlation between the mean behavioral test score and GLAST protein expression. r = 0.57, <span class="html-italic">p</span> = 0.04, y = 0.642x + 0.072.</p>
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15 pages, 845 KiB  
Review
The Role and Mechanism of Metformin in the Treatment of Nervous System Diseases
by Hui Li, Ruhui Liu, Junyan Liu and Yi Qu
Biomolecules 2024, 14(12), 1579; https://doi.org/10.3390/biom14121579 - 10 Dec 2024
Viewed by 581
Abstract
Nervous system diseases represent a significant global burden, affecting approximately 16% of the world’s population and leading to disability and mortality. These conditions, encompassing both central nervous system (CNS) and peripheral nervous system (PNS) disorders, have substantial social and economic impacts. Metformin, a [...] Read more.
Nervous system diseases represent a significant global burden, affecting approximately 16% of the world’s population and leading to disability and mortality. These conditions, encompassing both central nervous system (CNS) and peripheral nervous system (PNS) disorders, have substantial social and economic impacts. Metformin, a guanidine derivative derived from a plant source, exhibits therapeutic properties in various health conditions such as cancer, aging, immune-related disorders, polycystic ovary syndrome, cardiovascular ailments, and more. Recent studies highlight metformin’s ability to cross the blood–brain barrier, stimulate neurogenesis, and provide beneficial effects in specific neurological disorders through diverse mechanisms. This review discusses the advancements in research on metformin’s role and mechanisms in treating neurological disorders within both the central and peripheral nervous systems, aiming to facilitate further investigation, utilization, and clinical application of metformin in neurology. Full article
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<p>The mechanism of metformin in the treatment of central nervous system diseases. Solid arrows represent facilitation; T-shaped arrows represent inhibition.</p>
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16 pages, 1838 KiB  
Article
SGLT-2 Inhibitors’ and GLP-1 Receptor Agonists’ Influence on Neuronal and Glial Damage in Experimental Stroke
by Anna Murasheva, Oksana Fuks, Natalya Timkina, Arina Mikhailova, Timur Vlasov, Konstantin Samochernykh and Tatiana Karonova
Biomedicines 2024, 12(12), 2797; https://doi.org/10.3390/biomedicines12122797 - 10 Dec 2024
Viewed by 370
Abstract
Background: SGLT-2 inhibitors (SGLT-2i) and GLP-1 receptor agonists (GLP-1RA) have demonstrated nephro- and cardioprotective effects, but their neuroprotective properties, especially concerning stroke severity, and mechanisms are not unambiguous. We aimed to study the influence of SGLT-2i with different selectivity and GLP-1RA on brain [...] Read more.
Background: SGLT-2 inhibitors (SGLT-2i) and GLP-1 receptor agonists (GLP-1RA) have demonstrated nephro- and cardioprotective effects, but their neuroprotective properties, especially concerning stroke severity, and mechanisms are not unambiguous. We aimed to study the influence of SGLT-2i with different selectivity and GLP-1RA on brain damage volume and neurological status in non-diabetic and diabetic rats and to investigate the underlying mechanisms. Methods: Non-diabetic Wistar rats were divided into five groups (n = 10 each) and received empagliflozin, canagliflozin, or dulaglutide as study drugs and metformin as comparison drug. Control animals were administered 0.9% NaCl for 7 days before stroke. At 48 h after stroke, we assessed neurological deficit, neuronal and astroglial damage markers, and brain damage volume. We also modeled type 2 DM in Wistar rats using the high-fat diet+nicotinamide/streptozotocin method and established similar treatment groups. After 8 weeks, rats were subjected to stroke with further neurological deficit, neuroglial damage markers, and brain necrosis volume measurement. Results: In non-diabetic rats, all the drugs showed an infarct-limiting effect; SGLT-2i and dulaglutide were more effective than metformin. DULA improved neurological status compared with MET and SGLT-2i treatment. All the drugs decreased neurofilament light chains (NLCs) level and neuronal damage markers, but none of them decreased the glial damage marker S100BB. In DM, similarly, all the drugs had infarct-limiting effects. Neurological deficit was most pronounced in the untreated diabetic rats and was reduced by all study drugs. All the drugs reduced NLC level; dulaglutide and empagliflozin, but not canagliflozin, also decreased S100BB. None of the drugs affected neuron-specific enolase. Conclusions: SGLT-2i and GLP-1RA are neuroprotective in experimental stroke. GLP-1RA might be more effective than SGLT-2i as in non-diabetic conditions it influences both brain damage volume and neurological status. All study drugs decrease neuronal damage, while GLP-1RA and highly selective SGLT-2i EMPA, but not low-selective CANA, also have an impact on neuroglia in diabetic conditions. Full article
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<p>Neurological deficit 48 h after MCAO in non-diabetic rats. # <span class="html-italic">p</span> &lt; 0.05 in comparison with the “MET” group, ¶ <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DULA” group. MCAO—middle cerebral artery occlusion. Metformin, empagliflozin, and canagliflozin administration for 7 days prior to MCAO did not decrease neurological deficit. Neurological deficit was significantly smaller in the “DULA” group in comparison with all the other treatment groups.</p>
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<p>Ischemia–reperfusion injury-induced brain damage in non-diabetic rats. (<b>A</b>) Brain damage volume measurement results presented as dot plots with median values. (<b>B</b>) Representative images of brain slices stained with triphenyltetrazolium chloride. * <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, # <span class="html-italic">p</span> &lt; 0.05 in comparison with the “MET” group. Metformin, empagliflozin, canagliflozin, and dulaglutide reduce brain damage volume in comparison with the control group without treatment 48 h after MCAO in non-diabetic rats. The infarct-limiting effect of empagliflozin and dulaglutide is more prominent than that of metformin.</p>
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<p>Concentration of neuronal and glial damage markers after MCAO in non-diabetic rats. (<b>A</b>) Neurofilament light chains level 48 h after stroke. (<b>B</b>) Neuron-specific enolase level 48 h after stroke. (<b>C</b>) S100BB level 48 h after stroke. * <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, ¶ <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DULA” group. Dashed line—normal value. Ischemic stroke is characterized by NLC, NSE, and S100BB elevation. Metformin, empagliflozin, canagliflozin, and dulaglutide decreased NLC compared with the “Control” group. None of the drugs significantly influenced NSE or S100BB level.</p>
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<p>Glycemia dynamics in diabetic rats receiving variable glucose-lowering drugs. Strept.—nicotinamide/streptozotocin administration. * <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, § <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM” group. Eight-week metformin, empagliflozin, canagliflozin, and dulaglutide treatment in diabetic rats caused similar glycemic profile improvement in comparison with untreated diabetes mellitus.</p>
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<p>Neurological deficit 48 h after MCAO in diabetic rats. * <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, § <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM” group, # <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM+MET” group, ¶ <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM+DULA” group. MCAO—middle cerebral artery occlusion. Neurological deficit in diabetic rats without treatment was more serious than in the “Control” group. Metformin, empagliflozin, canagliflozin, and dulaglutide improved neurological status. There was no significant difference in empagliflozin and canagliflozin effectiveness, whereas the positive effect of canagliflozin was more prominent than that of metformin and dulaglutide.</p>
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<p>Ischemia–reperfusion injury-induced brain damage in diabetic rats. (<b>A</b>) Brain damage volume measurement results, presented as dot plots with median values. (<b>B</b>) Representative images of brain slices stained with triphenyltetrazolium chloride. *: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, §: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM” group, #: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM+MET” group. Brain damage volume in the diabetic rats without treatment was as large as that in the “Control” group. All study drugs diminished necrosis volume in comparison with the “DM” group. There was no difference in the infarct-limiting effects of empagliflozin, canagliflozin, and dulaglutide.</p>
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<p>Concentration of neuronal and glial damage markers after MCAO in diabetic rats. (<b>A</b>) Neurofilament light chains level 48 h after stroke. (<b>B</b>) Neuron-specific enolase level 48 h after stroke. (<b>C</b>) S100BB level 48 h after stroke. *: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “Control” group, §: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM” group, #: <span class="html-italic">p</span> &lt; 0.05 in comparison with the “DM+MET” group. Dashed line—normal value. NLC concentration was elevated in both the “DM” and the “Control” groups, but metformin, empagliflozin, canagliflozin, and dulaglutide caused similar decreases in it. NSE levels were similar in all the study groups. S100BB was similarly elevated in the “DM” and “Control” groups. Empagliflozin and dulaglutide caused its significant decrease, while metformin and canagliflozin did not influence it.</p>
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12 pages, 244 KiB  
Article
Dulaglutide and Dapagliflozin Combination Concurrently Improves the Endothelial Glycocalyx and Vascular and Myocardial Function in Patients with T2DM and Albuminuria vs. DPP-4i
by Emmanouil Korakas, John Thymis, Evangelos Oikonomou, Konstantinos Mourouzis, Aikaterini Kountouri, Loukia Pliouta, Sotirios Pililis, George Pavlidis, Stamatios Lampsas, Konstantinos Katogiannis, Lina Palaiodimou, Georgios Tsivgoulis, Gerasimos Siasos, Ignatios Ikonomidis, Athanasios Raptis and Vaia Lambadiari
J. Clin. Med. 2024, 13(24), 7497; https://doi.org/10.3390/jcm13247497 - 10 Dec 2024
Viewed by 362
Abstract
Background: The association between diabetic nephropathy and arterial elasticity and endothelial function is well established. In this study, we compared the effect of the combination of dulaglutide and dapagliflozin versus DPP-4 inhibitors on the endothelial glycocalyx, arterial stiffness, myocardial function, and albuminuria. [...] Read more.
Background: The association between diabetic nephropathy and arterial elasticity and endothelial function is well established. In this study, we compared the effect of the combination of dulaglutide and dapagliflozin versus DPP-4 inhibitors on the endothelial glycocalyx, arterial stiffness, myocardial function, and albuminuria. Methods: Overall, 60 patients were randomized to combined dulaglutide and dapagliflozin treatment (n = 30) or DPP-4 inhibitors (DPP-4i, n = 30) (ClinicalTrials.gov: NCT06611904). We measured at baseline and 4 and 12 months post-treatment: (i) the perfused boundary region of the sublingual arterial microvessels, (ii) pulse wave velocity (PWV) and central systolic blood pressure (cSBP), (iii) global left ventricular longitudinal strain (GLS), and (iv) urine albumin-to-creatinine ratio (UACR). Results: After twelve months, dual therapy showed greater improvements vs. DPP-4i in PBR (2.10 ± 0.31 to 1.93 ± 0.23 μm vs. 2.11 ± 0.31 to 2.08 ± 0.28 μm, p < 0.001), UACR (326 ± 61 to 142 ± 47 mg/g vs. 345 ± 48 to 306 ± 60 mg/g, p < 0.01), and PWV (11.77 ± 2.37 to 10.7 ± 2.29 m/s vs. 10.64 ± 2.44 to 10.54 ± 2.84 m/s, p < 0.001), while only dual therapy showed improvement in cSBP (130.21 ± 17.23 to 123.36 ± 18.42 mmHg). These effects were independent of glycemic control. Both treatments improved GLS, but the effect of dual therapy was significantly higher compared to DPP-4i (18.19% vs. 6.01%, respectively). Conclusions: Twelve-month treatment with dulaglutide and dapagliflozin showed a greater improvement in arterial stiffness, endothelial function, myocardial function, and albuminuria than DPP-4is. Early initiation of combined therapy as an add-on to metformin should be considered in these patients. Full article
30 pages, 23158 KiB  
Article
The Antinociceptive Effects and Sex-Specific Neurotransmitter Modulation of Metformin in a Mouse Model of Fibromyalgia
by Hanin Abdulbaset AboTaleb, Hani A. Alturkistani, Gamal S. Abd El-Aziz, Emad A. Hindi, Mervat M. Halawani, Mona Ali Al-Thepyani and Badrah S. Alghamdi
Cells 2024, 13(23), 1986; https://doi.org/10.3390/cells13231986 - 30 Nov 2024
Viewed by 572
Abstract
Fibromyalgia (FM) is a chronic and debilitating condition characterized by diffuse pain, often associated with symptoms such as fatigue, cognitive disturbances, and mood disorders. Metformin, an oral hypoglycemic agent, has recently gained attention for its potential benefits beyond glucose regulation. It has shown [...] Read more.
Fibromyalgia (FM) is a chronic and debilitating condition characterized by diffuse pain, often associated with symptoms such as fatigue, cognitive disturbances, and mood disorders. Metformin, an oral hypoglycemic agent, has recently gained attention for its potential benefits beyond glucose regulation. It has shown promise in alleviating neuropathic and inflammatory pain, suggesting that it could offer a novel approach to managing chronic pain conditions like FM. This study aimed to further explore metformin’s analgesic potential by evaluating its effects in an experimental FM model induced by reserpine in both male and female mice. After the administration of 200 mg/kg metformin to male and female mice, the FM-related symptoms were assessed, including mechanical allodynia, thermal hyperalgesia, and depressive-like behaviors. A histological examination of the thalamus, hippocampus, and spinal cord was conducted using haematoxylin and eosin staining. The neurotransmitter and proinflammatory cytokines levels were measured in the brains and spinal cords. Our results have shown that metformin treatment for seven days significantly reversed these FM-like symptoms, reducing pain sensitivity and improving mood-related behaviors in both the male and female mice. Additionally, metformin exhibited neuroprotective effects, mitigating reserpine-induced damage in the hippocampus, thalamus, and spinal cord. It also significantly lowered the levels of the proinflammatory cytokine interleukin 1-beta (IL-1β) in the brain and spinal cord. Notably, metformin modulated the neurotransmitter levels differently between the sexes, decreasing glutamate and increasing serotonin and norepinephrine in the male mice, but not in the females. These findings underscore metformin’s potential as an alternative therapy for FM, with sex-specific differences suggesting distinct mechanisms of action. Full article
(This article belongs to the Special Issue Molecular Mechanisms of Neuropathic Pain)
Show Figures

Figure 1

Figure 1
<p>Schematic representation of the overall design and timeline of the study. (<b>A</b>) Total duration of the study was 11 days. Reserpine (RES) was administered subcutaneously (Sc) to the mice during the first 3 days. Behavioral tests were performed on days 4, 7, 8, 9, and 10. On day 11, the mice were sacrificed, and brain and spinal cord samples were collected for histopathological and biochemical analysis. (<b>B</b>) Study groups and the agents they received. Abbreviations: vFt, von Frey test; HPT, hot plate test; TDM, total distance moved; FST, forced swimming test; TST, tail suspension test; ST, splash test; IP, intraperitoneal injection; Sc, subcutaneous injection. Created in BioRender. AboTaleb, H. <a href="https://BioRender.com/z08v394" target="_blank">https://BioRender.com/z08v394</a> (1 January 2024).</p>
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<p>Effect of different interventions on mechanical allodynia in male and female mice tested after single and 7-day treatment. (<b>A</b>,<b>B</b>) Paw withdrawal threshold in von Frey test in male mice. Reserpine administration (0.5 mg/kg) reduced paw withdrawal threshold on all tested days. A single dose of metformin (200 mg/kg) did not reverse the effects of reserpine on mechanical threshold, whereas 7-day dosing significantly alleviated mechanical allodynia. (<b>C</b>,<b>D</b>) Paw withdrawal threshold in von Frey test in female mice. Single dose of metformin had no effect, while 7-day dosing significantly alleviated mechanical allodynia. Pregabalin (30 mg/kg), used as a positive control, effectively restored paw withdrawal threshold toward control levels across all testing days in both male and female mice. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 7–12 mice/group. Asterisks above lines indicate significant difference between groups where * <span class="html-italic">p</span> &lt; 0.05 and ** <span class="html-italic">p</span> &lt; 0.01, otherwise, a non-significant difference is recorded.</p>
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<p>Effect of different interventions on thermal hypersensitivity in male and female mice tested after single and 7-day treatment. (<b>A</b>,<b>B</b>) Latency to respond in hot plate test in male mice. Reserpine administration (0.5 mg/kg) reduced latency of response to hot stimuli on all tested days. Single dose of metformin (200 mg/kg) did not reverse effects of reserpine on hot threshold, while 7-day dosing significantly alleviated thermal hypersensitivity. (<b>C</b>,<b>D</b>) Latency to respond to hot stimulus in female mice. Single metformin dose had no effect, while 7-day dosing significantly alleviated thermal hypersensitivity. Pregabalin (30 mg/kg), used as a positive control, effectively restored latency to respond to hot stimulus toward control levels across all testing days in both male and female mice. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 8–13 mice/group. Significant difference between groups is indicated by asterisks above the lines where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001; otherwise, a non-significant difference is recorded.</p>
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<p>Effect of different interventions on motor performances in male and female mice. (<b>A</b>,<b>B</b>) Total distance moved (TDM) and (<b>C</b>,<b>D</b>) velocity of mice in open field test, performed on day 9 of study. Reserpine administration reduced TDM and velocity in both male and female mice. Metformin administration reversed effects of reserpine on TDM and velocity in male mice only. (<b>E</b>,<b>F</b>) Rotating time in rotarod test, conducted on day 7 of study. Reserpine administration reduced rotating time only in male mice, and metformin administration reversed that effect. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 6–12 mice/group. Asterisks above lines indicate a significant difference between groups where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, and *** <span class="html-italic">p</span> &lt; 0.001; otherwise, non-significant difference is recorded.</p>
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<p>Effect of different interventions on depressive-like behavior in male and female mice. (<b>A</b>,<b>B</b>) Grooming time in splash test, conducted on day 7 of study. Reserpine injections significantly decreased grooming time in both male and female mice. Metformin treatment reversed decrease in both sexes. (<b>C</b>,<b>D</b>) Immobility time in forced swimming test, performed on day 8 of study. Reserpine injections significantly increased immobility time in both male and female mice. Metformin reversed increase in both sexes. (<b>E</b>,<b>F</b>) Immobility time in tail suspension test, performed on day 9 of study. Reserpine injections significantly increased immobility time in both male and female mice. Metformin treatment successfully reversed increase in both sexes. Notably, pregabalin administration had no significant effect in any tests except for splash test, where it showed effect only in male mice. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 8–12 mice/group. Asterisks above lines indicate significant difference between groups where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001; otherwise, non-significant difference is recorded.</p>
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<p>Effect of different interventions on neurotransmitter levels in total brains of male and female mice. (<b>A</b>,<b>B</b>) Serotonin levels: reserpine injections significantly decreased serotonin levels in both male and female mice. Metformin treatment reversed decrease in male mice only. (<b>C</b>,<b>D</b>) Norepinephrine levels: reserpine injections significantly decreased norepinephrine levels in both male and female mice. Metformin reversed decrease in male mice only. (<b>E</b>,<b>F</b>) Glutamate levels: reserpine injections significantly increased glutamate levels in brains of male mice, and metformin treatment reversed increase. In female mice, no significant differences were observed between any groups. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 6–8 mice/group. Asterisks above lines indicate significant difference between groups where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001; otherwise, a non-significant difference is recorded.</p>
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<p>Effect of different interventions on neurotransmitter levels in spinal cord of male and female mice. (<b>A</b>,<b>B</b>) Serotonin levels: reserpine injections significantly decreased serotonin levels in both male and female mice. Metformin treatment reversed decrease in male mice only. (<b>C</b>,<b>D</b>) Norepinephrine levels: reserpine injections significantly decreased norepinephrine levels in both male and female mice. Metformin treatment reversed decrease in male mice only. (<b>E</b>,<b>F</b>) Glutamate levels: reserpine injections significantly increased glutamate levels in spinal cords of male mice, and metformin treatment reversed increase. No differences were observed between any groups in female mice. Each bar represents mean, and vertical lines indicate standard error mean (SEM) for 5–6 mice/group. Asterisks above lines indicate a significant difference between groups where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001; otherwise, a non-significant difference is recorded.</p>
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<p>Effect of different interventions on proinflammatory cytokine levels in the total brain and spinal cord of male and female mice. (<b>A</b>,<b>B</b>) IL-1β levels in the brain: reserpine injections significantly increased IL-1β levels in both the male and female mice. Metformin treatment reversed this decrease in both the male and female mice. (<b>C</b>,<b>D</b>) IL-1β levels in the spinal cord: reserpine injections significantly increased the IL-1β levels in both the male and female mice. Metformin treatment reversed this decrease in both the male and female mice. (<b>E</b>,<b>F</b>) TNF-α levels in the brain: reserpine injections significantly increased the TNF-α levels in the male mice only. Metformin treatment reversed this increase in the male mice. (<b>G</b>,<b>H</b>) TNF-α levels in the spinal cord: reserpine injections significantly increased the TNF-α levels in the male mice only. However, metformin did not reverse this increase. Each bar represents the mean, and the vertical lines indicate the standard error mean (SEM) for the 4–6 mice/group. Asterisks above the lines indicate a significant difference between the groups where * <span class="html-italic">p</span> &lt; 0.05, ** <span class="html-italic">p</span> &lt; 0.01, *** <span class="html-italic">p</span> &lt; 0.001, and **** <span class="html-italic">p</span> &lt; 0.0001; otherwise, a non-significant difference is recorded.</p>
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<p>Representative photomicrographs of H&amp;E-stained hippocampus sections in male mice following metformin treatment. (<b>A</b>,<b>B</b>) Control group: CA1 and CA3 regions of control group displayed all layers—outer molecular layer (ML), middle pyramidal cell layer (PCL), and inner polymorphic layer (PmL)—with normal morphology. PCL comprised well-organized pyramidal cells (PCs) containing large vesicular nuclei and pale basophilic cytoplasm. (<b>C</b>) Dentate gyrus (DG) was formed by upper and lower limbs, each consisting of three layers: ML, granular cell layer (GCL), and PmL. Inset of upper limb showed that GCL was composed of densely packed, rounded granule cells (GCs). (<b>D</b>,<b>E</b>) RES + saline group: CA1 and CA3 regions exhibited disorganized PCL compared to control group. Most PCs appeared shrunken, with dark-stained cytoplasm, ill-defined nuclei, and pericellular halos (red arrow). Both ML and PmL contained an increased number of neuroglial cells (Ng), variable-sized vacuoles (V), and dilated blood capillaries (bc). (<b>F</b>) DG exhibited several degenerated and shrunken GCs (red arrow). (<b>G</b>,<b>H</b>) RES + pregabalin group: CA1 and CA3 regions showed improvement, appearing more similar to control group. Many PCs displayed a normal appearance with vesicular nuclei, although some PCs appeared condensed with dark basophilic cytoplasm. Both ML and PmL contained more Ng cells and dilated bc. (<b>I</b>) Architectural improvements were observed in GCL, although some granular cells still appeared shrunken with condensed nuclei. (<b>J</b>,<b>K</b>) RES + metformin group: CA1 and CA3 regions demonstrated improved appearance, closely resembling control group. However, some PCs with dark basophilic cytoplasm and unclear nuclei were still present. (<b>L</b>) DG structure showed significant improvement, appearing nearly identical to control group. Inset of GCL contained densely packed, rounded-to-oval GCs without signs of degeneration. CC, Corpus Callosum. Scale bar corresponds to 50 µm (H&amp;E × 200, Inset × 400).</p>
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<p>Representative photomicrographs of H&amp;E-stained hippocampus sections in female mice following metformin treatment. (<b>A</b>,<b>B</b>) Control group: CA1 and CA3 regions displayed normal pyramidal cells (PCs) with large, pale vesicular nuclei. (<b>C</b>) Dentate gyrus (DG) of control group exhibited normal granular cells (GCs) with vesicular nuclei in granular cell layer (GCL). (<b>D</b>,<b>E</b>) RES + saline group: CA1 and CA3 regions in group showed several degenerated, dark, shrunken PCs with dark, ill-defined shaped nuclei (red arrow). (<b>F</b>) DG exhibited several degenerated and shrunken GCs (red arrow). (<b>G</b>–<b>I</b>) RES + pregabalin group: pregabalin treatment did not alleviate toxic effects of reserpine, as several degenerative changes were still evident following treatment. (<b>J</b>–<b>L</b>) RES + metformin group: metformin treatment also failed to mitigate toxic effects of reserpine across all areas, as degenerative changes persisted and tissue vesiculation was observed in polymorphic layer (PML) (light blue arrow). bc, Blood Capillary; CC, Corpus Callosum; ML, molecular layer; PCL, pyramidal cell layer. Scale bar corresponds to 50 µm (H&amp;E × 200, Inset × 400).</p>
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<p>Representative photomicrographs of H&amp;E-stained thalamus sections in male and female mice following metformin treatment. (<b>A</b>,<b>B</b>) Control group exhibited normal thalamic structure, featuring large principal neurons (PNs) and small neurons (SN). Numerous microglial cells (Mg) and tiny capillaries (bc) were also observed. (<b>C</b>,<b>D</b>) Reserpine (RES) + saline group displayed numerous degenerated principal neurons (dPNs), marked by black circles in male group and black squares in female group. (<b>E</b>,<b>F</b>) RES + pregabalin group also exhibited structure similar to control group but with some degenerated PNs, marked by black circles in male group and black squares in female group. (<b>G</b>,<b>H</b>) RES + metformin group showed a structure that closely resembled control group, though fewer degenerated PNs were still observed, marked by black circles in the male group and black squares in the female group. The scale bar corresponds to 50 µm (H&amp;E × 400).</p>
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<p>Representative photomicrographs of H&amp;E-stained spinal cord sections in male and female mice following metformin treatment. (<b>A</b>–<b>D</b>) Control group exhibited dorsal horn of gray matter (DH) containing small multipolar neurons (SN) and ventral horn (VH) containing large multipolar neurons (LN). Microglial cells (Mg) and tiny capillaries were observed dispersed in both horns. (<b>E</b>–<b>H</b>) RES + saline group showed numerous degenerated neurons (dNs) in both dorsal and ventral horns, characterized by dark eosinophilic cytoplasm and condensed nuclei. Various-sized vacuoles and dilated capillaries were observed in neuropil. (<b>I</b>–<b>L</b>) RES + pregabalin group displayed fewer dNs in both dorsal and ventral horns. However, some vacuoles and dilated capillaries remained in neuropil. (<b>M</b>–<b>P</b>) RES + metformin-treated group showed nearly normal neurons in both dorsal and ventral horns, except for some congested capillaries. CC, central canal. Scale bar corresponds to 50 µm (H&amp;E × 200, Inset × 400).</p>
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