Literature DB >> 35802659

Effects of antidiabetic agents on Alzheimer's disease biomarkers in experimentally induced hyperglycemic rat model by streptozocin.

Shatw Khalid Ali1, Rojgar H Ali1.   

Abstract

BACKGROUND: Alzheimer's disease is the most common cause of dementia in the elderly population. It is characterized by the accumulation of amyloid β and intraneuronal neurofibrillary tangles in the brain. Increasing evidence shows that the disturbance of insulin signalling in the brain may contribute to the pathophysiology of Alzheimer's disease. In type 1 diabetes, these disruptions are caused by hypoinsulinemia, but in type 2 diabetes, they are caused by insulin resistance and decreased insulin secretion. Multiple studies have shown that diabetes is connected with an increased risk of acquiring Alzheimer's disease. The aim of this study was to investigate the impact of anti-diabetic agents on Alzheimer's disease progression and the levels of Alzheimer's biomarkers in a hyperglycaemic rat model, which was induced by intraperitoneal injection of streptozocin to produce insulin-deficient diabetes.
METHOD: Thirty-six male Wistar albino rats were allocated into six groups of six rats each. Group I was the negative control group. Intraperitoneal injections of streptozocin (42mg/kg) were used once for the five experimental groups. Group II served as the positive control group. The rats in Groups III, IV, V, and VI received metformin (300mg/kg), donepezil (10mg/kg), insulin glargine (3 unit/animal), and glibenclamide (10mg/kg), respectively, for 21 days.
RESULTS: Inducing hyperglycaemia in rats significantly increased the levels of serum glucose, haemoglobin A1c, total cholesterol, triglycerides, high-density lipoprotein, interleukin 6, tumour necrosis factor alpha, amyloid β 42, total plasma tau, and neurofilament light. A significant increase was also found in brain amyloid β 42, nitric oxide, acetylcholinesterase, malondialdehyde, β secretase, and phosphorylated microtubule-associated protein tau. The greatest statistically significant reductions in serum glucose, haemoglobin A1c, triglycerides, amyloid β 42, total plasma tau, brain amyloid β 42, acetylcholinesterase, and malondialdehyde were observed in rats treated with metformin. In contrast, rats treated with donepezil demonstrated the greatest statistically significant reduction in serum tumour necrosis factor alpha, brain nitric oxide, and β secretase. The levels of neurofilament light and phosphorylated microtubule-associated protein tau in the brains of rats treated with insulin glargine were significantly lower than the other treatment groups. The total cholesterol and low-density lipoprotein levels in rats treated with glibenclamide exhibited the most statistically significant reductions of all the treatment groups.
CONCLUSIONS: Metformin and donepezil, when administered at appropriate doses, were shown to successfully lower most plasma and brain biomarkers, including glucose, triglycerides, tumour necrosis factor alpha, amyloid β 42, nitric oxide, acetylcholinesterase, malondialdehyde, and β secretase in rats suffering from Diabetes Mellitus. As a result of this research, we suggest that metformin, either alone or in conjunction with donepezil, might be an excellent drug of choice for neuro-regeneration and risk reduction in Alzheimer's like disease.

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Year:  2022        PMID: 35802659      PMCID: PMC9269384          DOI: 10.1371/journal.pone.0271138

Source DB:  PubMed          Journal:  PLoS One        ISSN: 1932-6203            Impact factor:   3.752


Introduction

Alzheimer’s disease (AD) is the most common cause of dementia in the elderly population. It is characterized by neurodegeneration affecting both the cortex and the limbic system, as well as the accumulation of amyloid β and intraneuronal neurofibrillary tangles in the brain [1]. Despite various hypotheses, the specific pathologic pathways that cause neurodegeneration in AD are still unclear. Increasing evidence shows that the disturbance of insulin signalling in the brain may contribute to the pathophysiology of AD [2]. Several studies have discovered decreased insulin levels and insulin receptor expression in the brains of AD patients [3, 4], whereas other studies have highlighted insulin resistance [5], but all the evidence points to a breakdown of the insulin-signalling system. In addition to regulating food intake and energy balance, insulin and insulin receptors in the brain play a role in cognitive performance [6]. In type 1 diabetes mellitus (T1DM), these disruptions are caused by hypoinsulinemia, but in type 2 diabetes mellitus (T2DM), they are caused by insulin resistance and decreased insulin secretion. Multiple studies have shown that DM is connected to an increased risk of acquiring AD [7-9]. Although other studies have found no clear association between DM and cognitive impairment, dementia, or AD [10, 11], they emphasize that diabetes should be considered a potential risk factor for these conditions [12]. Disorders of the insulin-signalling pathway are emerging as common hallmarks of both AD and DM; nevertheless, the emphasis thus far has been on T2DM, with hyperinsulinemia and insulin resistance serving as the key insults [12]. Little information is known about the relationship between T1DM and AD, despite the fact that hypoinsulinemia causes a comparable impairment in insulin signalling. Furthermore, cognitive deficits, such as impaired learning and memory and difficulties with problem solving and mental flexibility, are more common in individuals with T1DM than in the normal population [13, 14], suggesting that the negative effect of cerebral hyperglycaemia or hypoinsulinemia exists in hyperglycaemic individuals. As a result of these deficiencies, degradation of the cerebral cortex [15] and neuronal loss [16] are often identified at autopsy, and these findings are more evident in individuals with T1DM than in age-matched non-diabetic patients. Recently, it was found that learning impairments are associated with increased tau phosphorylation, and higher amyloid β protein levels in the brain were identified in a T1DM mouse model [17]. Similar alterations have also been seen in a spontaneous T1DM rat model [18]. To further investigate the roles of insulin deficiency and hyperglycaemia in the central nervous system dysfunction and pathology, we have investigated the impact of anti-diabetic agents on AD progression and AD biomarker levels in a hyperglycaemic rat model, which was induced by streptozocin (STZ) to produce insulin-deficient diabetes. Alterations in amyloid β 42, tau, and phosphorylated microtubule-associated protein tau (pMAPT/ptau), which are the key neuropathological markers of AD, were specifically examined in both the brain and serum. Furthermore, we investigated whether T1DM effects levels of interleukin 6 (IL6), tumour necrosis factor alpha (TNFa), neurofilament light (NFL), nitric oxide (NO), acetylcholinesterase (AChE), malondialdehyde (MDA), and β secretase.

Method

Thirty-six male Wistar albino rats, weighing 200 to 300 g and aged 5 to 6 months, were evaluated in this study. One week prior to the start of the experiment, six male rats were housed per cage at 24°C and 55% ± 5% humidity with a 12-hour light-dark cycle (light on at 8:00 am and light off at 8:00 pm). Unlimited access to water and ordinary rat pellet diets were provided. The animals were acquired via the Hawler Medical University, College of Pharmacy (Iraq-Erbil). This work was authorized by the ethics committee of the Hawler Medical University, College of Pharmacy, with permission number HMUPH-EC20211129-361. For the entire duration of the research project, we adhered to the “Guide for the Care and Use of Laboratory Animals,” which was developed by the National Academy of Science and published by the National Institutes of Health.

Materials

Rat TNFa, amyloid β peptide 42, AChE, NO, β secretase, MDA, (pMAPT/ptau), tau protein, NFL polypeptide, and rat IL6 enzyme-linked assay (ELISA) kits were purchased from Shanghai Sunred Biological Technological Co., Ltd (China). STZ was bought from Glentham Life Sciences Corsham, S13 0SW, United Kingdom. Glucophage (metformin; 500mg tab), Daonil (glibenclamide; 5mg tab), Lantus (insulin glargine; 100 units/ml pen), and Aricept (donepezil; 10mg tab) were purchased in a pharmacy and were manufactured by Merck Healthcare (Darmstadt, Germany), Sanofi (Paris, France), Sanofi (Paris, France), and Pfizer (New York, United States), respectively.

Study design

In this study, the 36 male Wistar albino rats were allocated into six groups with a simple random sampling method (n = 6): Group I served as a negative control group, and Group II functioned as a positive control group. On Day 1 of the experiment, all the rats were fasted for 12 hours prior to receiving STZ therapy and were given water as usual. A total of 21 mg of STZ was weighed into a 1.5-ml microcentrifuge tube, which was sealed with aluminium foil. One tube was used for each rat. The STZ was dissolved in 50 mM of sodium citrate buffer (pH 4.5) to a final concentration of 21 mg/ml immediately before injection. For groups II, III, IV, V, and VI, the STZ solution was injected intraperitoneally (i.p.) at 42 mg/kg (2.0 ml/kg) using a 1-ml syringe and a 23-G needle [19]. The negative control group received an equivalent amount of citrate buffer (pH 4.5) injected i.p. [20]. After injection, they were provided with normal food and maintained on 10% (w/v) sucrose water. On Day 2 of the experiment, the sucrose water was replaced with regular tap water [20]. On Day 3, all the rats were fasted for 6–8 hours in the early morning. The animals were anesthetized with 1.0 ml of xylazine (20 mg/ml), which was added to 10 ml of ketamine (100 mg/ml) and diluted by one-tenth with sterile saline [21]. Blood was collected through the medial canthus of the orbit using the end of a microhematocrit tube [22], and blood glucose concentration was measured using the Accu-Chek Instant blood glucose monitoring system to check for hyperglycaemia. More than 50% of the rats had blood glucose levels of more than 150 mg/dl (8.3 mmol/L), which was significantly higher than the control animals, suggesting that they were in the early stages of T1DM. On Day 10 of the experiment, the groups who failed the initial test for diabetes were tested again by repeating the above-mentioned procedure, and all of the rats had statistically higher blood sugar levels than the negative control group. Most of the STZ-injected rats developed severe diabetes after 3 weeks, with blood glucose concentrations commonly ranging from 250 to 600 mg/dl (13.9–33.3 mmol/L) in most cases. According to previous studies, all of the DM complications should be apparent within 4–8 weeks [20]. Table 1 shows the variations over several days in rat blood glucose levels after STZ (42 mg/kg) injections.
Table 1

High blood glucose levels in rats after exposure to STZ.

Hyperglycaemia was induced in rats using a single i.p. dose of STZ (42 mg/kg). Blood glucose levels were checked before and after the STZ injection.

Experimental DayBlood Glucose Mean ± SD
Day 079.38 mg/dl ± 3.20
Day 3178 mg/dl ± 16.30
Day 10234 mg/dl ± 13.70
Day 30367 mg/dl ± 27.19
Day 60537 mg/dl ± 43.51

High blood glucose levels in rats after exposure to STZ.

Hyperglycaemia was induced in rats using a single i.p. dose of STZ (42 mg/kg). Blood glucose levels were checked before and after the STZ injection. Animals began treatment on the Day 61 of the experiment. Group III: Received an oral daily dose of metformin, 300 mg/kg [23, 24]. Group IV: Received an oral daily dose of donepezil, 10 mg/kg [25]. Group V: Received a subcutaneous injection of insulin glargine, 3 units/rat [26]. Group VI: Received an oral daily dose of glibenclamide, 10 mg/kg [27, 28]. The oral medications were dissolved in normal saline, and the correct dosage was calculated. The medications were administered to the animals through oral gavage, except for insulin, which was injected subcutaneously. After 21 days of drug administration, all animals were anesthetized with i.p. injection of xylazine (10 mg/kg) and ketamine (125 mg/kg) [29]. Blood was collected using the cardiac puncture method [22]. After centrifuging the blood samples, the separated serums were kept in tubes and put in the freezer at -23°C for five days until the day the tests were measured. The animals were sacrificed via cervical dislocation at the end of the experiment. To confirm the animals’ deaths, the heartbeats and pupillary reactions to light were measured. The brains were removed and the brain tissues were washed with ice-cold normal saline, mixed with phosphate buffer, and homogenized by hand by using mortar and pestle. The brain tissue extracts were separated by a cold centrifuge and placed in Eppendorf tubes, which were labelled with the group name and kept in a freezer at -80°C for five days until the day the tests were measured.

Biochemical assays

Rat TNFa, amyloid β peptide 42, AChE, NO, β secretase, MDA, pMAPT/ptau, tau protein, NFL, and IL6 were measured using ELISA kits specific for rats. Serum glucose, haemoglobin A1c (HbA1c), triglycerides (TG), total cholesterol, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were measured using specific reagents for each of the parameters mentioned, using the Cobas-Roche analyser.

Statistical analysis

All data were expressed as mean ± standard error mean (mean ± SEM). Differences in all the parameters between control and medication-treated rats were examined using statistical package for social science (SPSS) (version 25), and a one-way analysis of variance (ANOVA) was conducted to assess the results. A multiple comparison (Tukey) test was performed to compare the groups. A P value < 0.05 was used to determine statistical significance. The datasets used or analysed for the present investigation are available from the corresponding author without restriction.

Results

The effects of different treatment groups on serum biomarkers

The results (Table 2) showed that the rats in the positive control group (pre-treated with STZ) had significantly higher blood glucose levels (761 ± 37.95 mg/dl) than the negative control group (132.16 ± 1.66 mg/dl) (P < 0.05). A post hoc test was performed to discover the exact difference and significance level between the positive control group and the study groups. All forms of the treatments significantly reduced blood glucose levels compared to the positive control, except for donepezil (P = 0.07) and insulin glargine (P = 0.26).
Table 2

The effects of metformin, donepezil, insulin glargine, and glibenclamide on serum biomarkers: Glucose, HbA1c, lipid profile, IL6, TNFa, amyloid β 42, total plasma tau, and NFL.

Serum parametersNegative controlSTZ/positive controlSTZ + metforminSTZ + donepezilSTZ + insulin glargineSTZ + glibenclamideP value (ANOVA)
Glucose (mg/dl)132.16±1.66761±37.95*326.83±17.06#676.33±9.02695.66±22.74450.16±16.61#0.0001
Haemoglobin A1c (%)5.51±0.0479.68±0.85*8.56±0.3810.13±0.379.4±0.578.55±0.360.0001
Total cholesterol (mg/dl)41.16±2.7676.5±1.05*60±1.15#56.83±5.86#61.16±2.63#41.16±1.19#0.0001
Triglycerides (mg/dl)60.16±3.41128.33±26.69*61±10.48#65.33±1.38#68.16±3.19#74.16±1.88#0.002
Low density lipoprotein (mg/dl)10.76±3.0914.36±2.1613.33±2.7311.63±4.2713.53±3.125.73±2.290.392
High density lipoprotein (mg/dl)29.5±0.7634.16 ± 2.4434.83±0.5434.16±2.7436±1.8424.5±1.11#0.001
Interleukin 6 (pg/ml)32.28±3.3181.6±0.75*92.1±1.53106.91±11.99117.4±8.86#95.98±2.380.0001
Tumour necrosis factor a (ng/L)11.93±0.6144.71±1.17*22.26±1.67#21.20±1.99#63.06±10.17#28.38±2.460.0001
Amyloid β 42 (pg/ml)71.91±0.85700.1±20.04*477.16±7.48#546.16±5.82#577.66±8.11#676±12.420.0001
Total plasma tau (ng/L)22.93±0.51140.83±8.04*90.16±1.47#115.06±1.67#93.9±2.05#106.9±7.17#0.0001
Neurofilament light (ng/L)3.42±0.1518.41±0.14*9.83±0.38#7.43±1.11#3.195±0.15#4.38±0.27#0.0001

Values are expressed as mean ± SEM

*P < 0.05 when compared with the negative control group

#P < 0.05 when compared with the positive control group

Values are expressed as mean ± SEM *P < 0.05 when compared with the negative control group #P < 0.05 when compared with the positive control group The results indicated that the positive control group had significantly higher blood HbA1c levels (9.68 ± 0.8%) than the negative control group (5.51 ± 0.047%) (P < 0.05). A post hoc test was performed to determine the exact difference and significance level between the groups (inter-group variation). The difference between all the groups after 21 days of treatment was not significant (P > 0.05). The results showed that a statistically significant relationship existed between the various treatment groups’ serum total cholesterol levels. When a post hoc test was performed, it indicated that a significant reduction existed in all the treatment groups compared to the positive control group. The findings also showed that the positive control group had significantly higher triglycerides levels (128.33 ± 26.69 mg/dl) than the negative control group (60.16 ± 3.41 mg/dl) (P < 0.05). A post hoc test was performed to determine the exact difference and significance level between the control and treatment groups, it indicated that a significant reduction existed in all the treatment groups compared to the positive control group (P < 0.05). The results (Table 2) showed that no statistically significant association existed between the different treatment protocols and serum LDL levels. The mean serum LDL levels were similar in each group, ranging from 10–14 mg/dl. ANOVA was performed to compare the average serum LDL levels of all the groups (P = 0.392). A post hoc (Tukey) test was performed to identify the exact difference in HDL levels between the control and treatment groups. Except for glibenclamide, which differed substantially from all other treatment groups (P < 0.05), there was no significant difference across the groups. Hyperglycaemia induction by STZ resulted in a significant increase of IL6 levels (81.6 ± 0.75 pg/ml) (P<0.05) compared to the negative control group (32.28 ± 3.3 pg/ml). A post hoc (Tukey) test was performed, and the difference between all the groups was not significant (P > 0.05), except for positive control and insulin glargine (P < 0.05), which increased IL6 levels significantly more than the positive control and all the treatment groups. Plasma TNFa concentration in the STZ-pre-treated rats was significantly higher (44.71 ± 1.17 ng/L) than that in the negative control group (11.93 ± 0.61 ng/L) (P < 0.05). The rats treated with insulin had significantly highest plasma TNFa levels compared to the positive control group and among the other treated groups, the rats treated with metformin and donepezil had significantly lowest TNFa levels compared to the positive control group (P < 0.05). The i.p. injection of STZ in the positive control group significantly raised the serum level of amyloid β 1–42 (700.1 ± 20.04 pg/ml) compared to the negative control group (71.91 ± 0.85 pg/ml) (P < 0.05). A post hoc test was performed, and there was a significant increase in all the treatment groups compared to the positive control group (P < 0.05), except for glibenclamide (P = 0.62). The rats pre-treated with STZ, the serum total plasma tau protein was significantly higher (140.83 ± 8.04 ng/L) than that in the control group (22.93 ± 0.51 ng/L) (P < 0.05). A post hoc test was performed, a significant reduction existed in all the treatment groups compared to the positive control group (P < 0.05). In the hyperglycaemia-induced rats, serum NFL levels were higher (18.41 ± 0.14 ng/L) compared to the negative control group (3.42 ± 0.15 ng/L) (P < 0.05). A post hoc test indicated that a significant reduction existed in all the treatment groups compared to the positive control group (P < 0.05).

The effects of different treatment groups on brain biomarkers

The results (Table 3) showed that the control group (pre-treated with STZ) had significantly higher brain amyloid β 42 levels (778 ± 15.85 pg/ml) than the negative control group (86 ± 1.96 pg/ml) (P < 0.05). A post hoc test was performed to determine the exact difference and significance level between the positive control group and the treatment groups, a significant reduction existed in all the treatment groups compared to the positive control group (P < 0.05).
Table 3

The effects of metformin, donepezil, insulin glargine, and glibenclamide on brain biomarkers: Amyloid β 42, nitric oxide, acetylcholinesterase, malondialdehyde, β secretase, and pMAPT.

Brain parametersNegative controlSTZ/positive controlSTZ + metforminSTZ + donepezilSTZ + insulin glargineSTZ + glibenclamideP value (ANOVA)
Amyloid β 42 (pg/ml)86±1.96778±15.85*443.16±9.54#531.76±9.81#546.66±8.78#703.73±4.16#0.0001
Nitric oxide (umol/L)7.43±0.1929.86±0.24*9.62±0.14#8.98±0.18#26.66±1.09#24.4±1.18#0.0001
Acetylcholinesterase (ng/ml)41.48±0.5684.90±1.36*46.25±0.77#53.81±0.88#53.63±0.93#72.3±0.51#0.0001
Malondialdehyde (nmol/ml)0.35±0.0414.32±0.16*0.97±0.01#3.15±0.24#2.65±0.13#3.55±0.19#0.0001
β secretase (pg/ml)116.36±0.94862.03±8.38*245.58±5.67#187.05±1.94#317.98±1.06#745.53±3.60#0.0001
pMAPT (ng/L)16.38±0.6844.55±0.89*24.26±0.64#34.24±1.23#18.53±0.38#20.81±1.14#0.0001

Values are expressed as mean ± SEM

*P < 0.05 when compared with the negative control group

#P < 0.05 when compared with the positive control group

Values are expressed as mean ± SEM *P < 0.05 when compared with the negative control group #P < 0.05 when compared with the positive control group The brain nitric oxide level in STZ pre-treated rats was significantly higher (29.86 ± 0.24 μmol/L) than in the control group (7.43 ± 0.19 μmol/L) (P < 0.05). The brain nitric oxide level was significantly reduced in all the treatment groups (P < 0.05). The level of AChE in hyperglycemia-induced rats was significantly higher than in the negative control group. A post hoc test was performed, and the AChE level was significantly reduced in all the treatment groups (P < 0.05). The level of MDA was significantly higher in hyperglycaemia-induced rats than in the negative control group. According to the post hoc analysis, the brain MDA level was significantly reduced in all the treatment groups (P < 0.05). The level of β secretase was significantly higher in hyperglycemia-induced rats than in the negative control group. A post hoc test was performed, and it revealed that the brain β secretase level was significantly reduced in all the treatment groups (P < 0.05). The level of pMAPT in the brains of STZ pre-treated rats was significantly higher (44.55 ± 0.89 ng/L) than in the control group (16.38 ± 0.68 ng/L) (P < 0.05). Brain pMAPT levels were significantly reduced in all treatment groups (P < 0.05).

Discussion

Previously, AD and DM were seen as two distinct diseases. In contrast, a number of clinical and pre-clinical investigations have shown that AD and DM have comparable pathogenic pathways [30]. However, DM cannot be assumed to be sufficient to cause AD; rather, it may play a role as a cofactor in the progression of the illness due to abnormalities in insulin signaling that are accompanied by considerable elevation of amyloid β aggregation, tau hyperphosphorylation, inflammation, oxidative stress, and mitochondrial dysfunction [31]. Due to the same pathogenesis, it has been proposed that anti-diabetic medications may have therapeutic promise for the treatment of AD. Clinical investigations are now investigating these theories. It was previously known that some anti-diabetic drugs were helpful against a number of the hallmark AD pathologies, and it was also recognized that these treatments increased neurogenesis. Although the outcomes of these medications are promising, a thorough understanding of the shared pathomechanisms between DM and AD, the central and peripheral molecular actions of medications, and the impact of demographic changes and genetic mutations on AD development is urgently required for diagnostic and therapeutic purposes [31]. Additionally, an increase in AD knowledge, diagnosis, and possible treatments, as well as population-based research, are crucial for preventing dementia caused by diabetes in high-risk populations. In mammals, STZ is highly toxic to the insulin-producing beta cells of the pancreas. It has the potential to selectively destroy the cells responsible for generating and releasing insulin, and it is used in medical research to establish an animal model for T1DM when administered in high dosages. STZ administration by a method such as intracerebroventricular or i.p. injection results in decreased cognition and increased cerebral aggregated amyloid β fragments, total tau protein, and amyloid β deposits [32]. Tables 2 and 3 show that i.p. administration of STZ (42 mg/kg) in rats caused significant physiological alterations that can be compared to AD. Blood glucose level is a sensitive indication of DM, and rats with a baseline fasting blood glucose level <135 mg/dL were regarded as normal [33]. After STZ administration, blood glucose levels were considerably higher in this study. The damage to pancreatic cells that STZ caused led to hypoinsulinemia and hyperglycaemia. The fact that the elevated level persisted after 21 days of therapy indicates that the harm was irreversible. The glycosylated haemoglobin (HbA1c) test reflects blood glucose concentrations during the previous 8–12 weeks and is often used as an indicator of average blood glucose concentration. When the HbA1c test is less than 5.7%, it is considered normal [34]. In this investigation, the HbA1c level was considerably higher than that following STZ administration. An increase in HbA1c was caused by establishing a sugar-haemoglobin connection, which indicates the presence of excessive sugar in circulation, a sign of diabetic complications [35]. This discovery is consistent with the findings of previous research in the field [34]. Lipids, as the fundamental building blocks of cell membranes, play a significant role in human health and brain function. The brain contains a high concentration of lipids, and the dysregulation of lipid homeostasis is related to aging and plays a significant role in the aetiology of AD [36]. A lipid profile is a blood test that detects problems in lipid levels and mainly measures HDL, LDL, triglycerides, and total cholesterol [37, 38]. According to the findings of this research, glibenclamide had a significant effect on lowering HDL levels in all treatment groups when compared to the positive control group and LDL levels were not significantly different amongst the groups. All the treatment groups were able to significantly lower triglycerides levels, with metformin being the most successful. This finding is in accordance with the results of past research studies [39]. All the treatments were effective in lowering total cholesterol compared to the positive control group, particularly glibenclamide, and this finding is also consistent with previous research [40]. IL6 is a pleiotropic cytokine that plays a critical role in host defence, owing to its extensive spectrum of immunological and hematologic activities and its strong capacity to elicit the acute phase response [41]. In a recent study, both mild and moderately severe AD patients had significantly higher IL6 secretion levels than healthy individuals of the same age. These elevated levels of peripheral IL6 secretion might have been responsible for the acute-phase proteins in their serum [42]. In the current study, after induction of DM, none of the treatment groups reduced the level of IL6 below that of the positive control group. TNFa is a gliotransmitter that regulates synaptic activity in brain networks, and it has recently been shown to have an important role in the breakdown of synaptic memory pathways caused by amyloid β and amyloid-β oligomers [43]. The current research showed that DM significantly increased TNFa levels and among all the medications, metformin and donepezil could significantly reduce TNFa levels when compared to the positive control group. This conclusion is in line with earlier study findings [44, 45]. Tau is a protein that controls the formation of microtubules and their structural integrity under physiological conditions [46]. Additionally, amyloid β is well known for forming amyloid plaque on nerve cells in the brains of AD patients [47]. According to studies, tau phosphorylation and amyloid β buildup both have a role in the development and pathophysiology of AD [47]. There is also a relationship between tau and DM, since both insulin and insulin growth factor 1 are involved in tau phosphorylation, which is linked to the formation of neurofibrillary tangles and synaptic loss. When insulin communication in the brain is disrupted, tau phosphorylation begins, resulting in reduced Akt kinase activity (also known as protein kinase B) and increased glycogen synthase kinase 3 beta (GSK-3) activity [48]. GSK-3 regulates glucose levels in the blood by contributing to glycogen production [49]. Increased levels of total tau and phosphorylated tau were identified in the brains of both T1DM and T2DM patients compared to healthy controls [50, 51]. In addition, T1DM patients have a greater concentration of amyloid β peptide 42 in their brains than healthy controls [51]. Finally, advanced glycation end (AGE) products are formed as a result of dysregulated glucose metabolism in DM. Increased AGE levels in the brain have been observed to enhance amyloid β 42 aggregation by preventing its clearance. The density of AGE receptors is enhanced in AD and is engaged in amyloid β related inflammatory processes [52]. Several clinical trials have shown that diabetic people who use metformin for a long time have greater cognitive function than those who take other anti-diabetic medicines. Metformin has been shown to reduce tau phosphorylation and amyloid β formation by inhibiting AChE activity and therefore raising acetylcholine content in the brain, which is important for learning and memory [53]. Overall, it seems that the commonly used AD biomarkers (tau protein hyperphosphorylation and amyloid β accumulation) are linked to memory impairment in people with DM, suggesting that these biomarkers may be useful in DM patients. In this study, the level of amyloid β in serum and brain tissue was significantly increased after the induction of DM. Among all the treatment groups, particularly metformin, had significantly reduced amyloid β levels relative to the positive control group. This result is in line with previous studies that suggest that metformin may be an ideal choice for neuro-regeneration and risk reduction of AD [54]. The results of this study on plasma tau show that after the induction of DM, a significant rise in plasma tau levels occurred. All the treatment groups were associated with significantly lower tau levels than the positive control group, with metformin and insulin glargine being the most effective. This finding is similar to that reported in a previous study on metformin [55]. It has recently been proposed that the NFL chain is a neuron-specific structural protein that can be measured in cerebrospinal fluid and plasma [56, 57] to detect axonal injury and neurodegeneration in a wide variety of neurological disorders, including AD [58]. Higher NFL levels have been associated with increased mortality in AD and other neurodegenerative disorders [59]. The current results indicate that all the treatment groups were able to significantly reduce NFL levels, with insulin glargine and glibenclamide being the most effective in returning the levels to normal. NO is an enzymatic product of NO synthase that has major physiological activities. An accumulating body of data shows that NO pathways are linked to a range of neurological illnesses, including AD and other neurodegenerative dementias. Aging with a vascular risk factor reduces cerebral blood flow, resulting in microvasculopathy with reduced NO release and localized metabolic dysfunction [60]. This study found that across all the treatment groups, only metformin and donepezil were able to significantly reduce NO levels to normal, which is consistent with results from other studies [61, 62]. AChE is a cholinergic enzyme present in postsynaptic neuromuscular junctions, especially in muscles and nerves. Several studies have revealed that AChE activity and its molecular forms differ in AD tissues. Many of these studies examined whether differences in AChE isoform distribution can be used as a biochemical Alzheimer’s diagnosis [63, 64]. In this study, the level of AChE in the brain increased significantly after the induction of DM, and all treatments significantly lowered AChE levels compared to the positive control group, with metformin, donepezil, and insulin glargine being the most effective at returning the levels to near-normal, which is consistent with results from other studies [53, 65, 66]. MDA is a regularly used biomarker for lipid peroxidation and oxidative stress. Lipid peroxidation is a series of reactions that produce active molecules that cause cellular damage [67], and oxidative stress has been related to several diseases, including AD [68]. After induction of DM, MDA levels increased significantly, and only metformin returned the levels to near-normal. This result is in line with earlier research findings [69, 70]. β secretase (BACE1, or APP-cleaving enzyme 1) is an aspartic proteinase involved in cell differentiation, immunoregulation, and cell death. BACE1 is the major β secretase in neurons that produces amyloid-β peptides [71], and growing evidence links BACE1 activity changes to diseases like AD [72]. Following DM induction, the level of β secretase increased significantly, and among all the treatment groups, donepezil and metformin were the most successful in decreasing the β secretase level. This discovery also aligns with prior research findings [53, 73]. Tau proteins are crucial for microtubule stability in the body. These proteins are abundant in nerve cells but far less so in oligodendrocytes and astrocytes [74]. Pathologies of the nervous system, such as AD, may occur when tau proteins become deficient and fail to appropriately maintain microtubules [75]. The level of pMAPT significantly increased following the induction of DM, and insulin glargine was the only therapy that could return it to a normal level. This finding is in keeping with earlier results [76], although the other treatments only slightly reduced the pMAPT level compared to the positive control group.

Conclusion

Metformin and donepezil, when administered at 300mg/kg and 10mg/kg, respectively, were shown lower most plasma and brain biomarkers, including glucose, triglycerides, tumour necrosis factor a, amyloid β 42, nitric oxide, acetylcholinesterase, malondialdehyde, and β secretase in rats suffering from diabetes mellitus. As a result of this research, we suggest that metformin, either alone or in conjunction with donepezil, might be an excellent drug of choice for neuro-regeneration and risk reduction in Alzheimer’s like disease. (DOC) Click here for additional data file. 23 Mar 2022
PONE-D-22-05274
Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Rats with Experimentally Induced Diabetes: Randomized Experimental Design
PLOS ONE Dear Dr. Ali, Thank you for submitting your manuscript to PLOS ONE. After careful consideration by 2 Reviewers and an Academic Editor, all of the critiques of both Reviewers, especially the misnomer of the 'AD model', must be addressed in detail in a revision to determine publication status. If you are prepared to undertake the work required, I would be pleased to reconsider my decision, but revision of the original submission without directly addressing the critiques of the Reviewers does not guarantee acceptance for publication in PLOS ONE. If the authors do not feel that the queries can be addressed, please consider submitting to another publication medium. A revised submission will be sent out for re-review. The authors are urged to have the manuscript given a hard copyedit for syntax and grammar as this is requisite for publication consideration. ============================== Comments to the Author 1. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.  Reviewer #1: Partly Reviewer #2: Partly ********** 2. Has the statistical analysis been performed appropriately and rigorously?  Reviewer #1: No Reviewer #2: I Don't Know ********** 3. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: No Reviewer #2: Yes ********** 4. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: No Reviewer #2: No ********** 5. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: In this study, authors compared the effectiveness of multiple antidiabetic drugs in a model of experimental diabetes mellitus induced by intraperitoneal (ip) injection of streptozocin (STZ). A myriad of serum markers were then assessed in controls and type 2 diabetes animals. 1) The first issue with the study is that authors state in the Abstract that ip STZ injection induces Alzheimer's disease model. This is not true, because the sporadic AD-type model is induced by intracerebroventricular STZ injection. Authors should specify that with ip injection of STZ they induced diabetes-like changes and not AD. 2) Why do authors use abbreviations in brackets multiple times in the text? And why should "vascular dementia" and "cerebrovascular disease" be abbreviated if it is used only once in the whole manuscript? 3) Method: it is insufficient to state the weight of the animals. What was the age of animals? What conditions were they kept in (temperature, lighting, humidity)? How many rats per cage? Was there an acclimatization period? All of this information is missing. Authors state that blood glucose was measured "in the eyes" (line 110). I suppose this means that it was a retro-orbital blood collection? Was anaesthesia used for this? Procedure description is incomplete. What do authors mean in lines 110-111 by "and Accu Check Glucometer and left for 2 months". So animals were injected ip with STZ and left for 2 months, and only after that treated with various compounds for 21 consecutive days? It is unclear. A picture with experimental design would greatly aid to understanding the timeline of the procedures done by authors. 4) Results: abbreviation HSD is not defined. The use of the same symbol to depict differences between different groups seems misleading. Consider using * for comparison with negative control and # for comparison with positive control. Line 136 states that mean +/- S.E.M. was used, but in line 171 authors mention S.D. Which was it then, SEM or SD? In lines 178-179 authors state that HDL levels significantly differed in glibenclamide-treated STZ rats compared to all treatment groups. This is not shown in Table 1. Why would authors report ANOVA results for LDL levels but not for other markers? ANOVA tells us if the values between groups differ, and then by using a post-hoc test we show the values of which specific groups are significantly different. ANOVA is not really reported in this manuscript. 5) Discussion is too large. Description of each marker (and the rationale for assessing their levels) should be stated in the Introduction! In lines 261-264 authors describe the changes seen after peripheral injection of STZ, while citing an article on the effects of centrally injected STZ (Singh et al., 2015). Overall, manuscript looks like it was not read thoroughly before submitting, as indicated by discrepancies in the use of abbreviation and grammar. Moreover, authors state that they induced AD, which they did not. Reviewer #2: In “Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Rats with Experimentally Induced Diabetes: Randomized Experimental Design”, the authors present a study utilizing a hyperglycemic rat model that also exhibits elevations in several biomarkers for Alzheimer’s Disease (AD). After 3 weeks of administering various diabetes and AD medications to different groups of rats, several metabolic and cognitive parameters are quantified in the serum and brain extracts. The findings of the study are relevant and potentially useful to the scientific and medical community. However, many concerning issues with the study first need to be addressed. The authors perform intraperitoneal (i.p.) injections of STZ in 5 to 6 month old male rats to generate models of hyperglycemia and AD. While this procedure is perfectly valid for generating hyperglycemia, the legitimacy of this method for generating AD is questionable. The references the authors cite for inducing AD by this procedure do not support their methodology. For example, in reference 12, Zhang et al. induced learning and memory impairments by injecting STZ (i.p.) into neonatal mice. In order to induce such effects in adult mice, Zhang et al. administered intracerebroventricular STZ injections. Furthermore, although the current authors do show several biomarkers associated with AD (e.g. amyloid beta) to be upregulated in their experimental rat model, no cognitive or behavioral tests are ever performed. I suggest that the authors present this model as a hyperglycemic model rather than a model of AD, unless data can be added to the manuscript that verifies learning and memory deficits. After induction of the rat model, the authors divided the rodents into various treatment groups and administered different therapeutic agents to each group for 21 days. Most of the utilized agents were anti-diabetic agents with one exception – donepezil – a typical AD agent. Two control groups were included (no STZ and STZ without further treatment). The authors then sacrificed the mice and quantified the amounts of various biomarkers in the serum and brain extracts using ELISAs. While the data presented are potentially useful to the scientific and medical community, several issues were identified that should be addressed. • First, it appears as though the authors did not measure blood glucose in all of the rats before starting the various treatments. While unlikely, it is possible that the STZ did not effectively induce hyperglycemia in all rodents, and this could potentially skew the apparent results of any treatment that those rats received. If the authors did indeed verify hyperglycemia in all of the rats before beginning treatment, those data should be provided in the manuscript. • Second, while this is a minor issue, most of the diabetes agents used in this study are type 2 diabetes agents (e.g. metformin and glibenclamide). It is unclear how relevant these agents are in the context of an STZ model, since STZ induces a state much more similar to type 1 diabetes. The authors do test one insulin analogue (insulin glargine) which is a long-acting analogue that is used in the context of type 1 diabetes. However, it would not be used alone in the setting of type 1 diabetes. It would typically be accompanied by mealtime boluses of regular or rapid acting insulin. • The results from the ELISAs are all presented in two tables, which are well organized and clear. However, the description of the results in the text is overly repetitive. Much of this text could be condensed. Also, I am not sure if comparing each treatment to every other treatment for each biomarker in the statistical analysis adds value to the study. It is somewhat confusing. In my opinion, simply comparing the STZ control to the no STZ control and then each treatment group to the STZ control would be sufficient. That is how the data are presented in the tables. • It would be nice for the authors to comment on the potential of the anesthetizing agent to affect biomarkers, especially the brain biomarkers. Lastly, the authors continuously refer to the model as an AD model, but it is not clear that the model or the diabetes treatments would be relevant to AD in the context of normoglycemia. As mentioned above, it would be best to present this model as a model of hyperglycemia with upregulation of several AD associated biomarkers. The findings may be most relevant to diabetes and diabetes linked AD. In addition to the scientific or presentation concerns mentioned above, the authors also need to heavily revise the manuscript for language and grammatical errors. There are too many errors for this reviewer to correct at this stage. However, a few key points are mentioned below: • Many words are inappropriately capitalized (e.g. Glucose, Hemoglobin, Total Cholesterol, etc…). • Once the abbreviation for a word is given in parenthesis, the parenthesis does not need to be used throughout the manuscript. For example, the authors routinely refer to AD as (AD). • Lines 64 and 65: The statement “(AD) and vascular dementia have both been demonstrated to enhance the risk of cognitive impairment and dementia in people with type 2 (DM) (8,9).” is incorrect. After reviewing the sources cited (8 and 9), I suspect the authors meant “T2DM has been shown to enhance the risk of cognitive impairment, AD, and vascular dementia”. • Line 114: Typo: “oral daily doses of Insulin”. The authors later state that insulin was given subcutaneously, which is the correct way to administer insulin glargine. • Line 263: STZ does not induce insulin resistance. Despite the many concerns raised in the above review, I do think that the findings have scientific merit and can be useful to the scientific community if presented in the right context. ********** 6. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. ============================== Please submit your revised manuscript by September 1, 2022. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. We look forward to receiving your revised manuscript. Kind regards, Stephen D. Ginsberg, Ph.D. Section Editor PLOS ONE Journal requirements: When submitting your revision, we need you to address these additional requirements. 1. Please ensure that your manuscript meets PLOS ONE's style requirements, including those for file naming. The PLOS ONE style templates can be found at https://journals.plos.org/plosone/s/file?id=wjVg/PLOSOne_formatting_sample_main_body.pdf and https://journals.plos.org/plosone/s/file?id=ba62/PLOSOne_formatting_sample_title_authors_affiliations.pdf 28 Apr 2022 Many thanks for your helpful comments, almost all the mistakes are fixed and almost all the manuscript has been revised upon your request. We hope that now the manuscript is in the right context. Also, our comments can be found in the (response to the reviewer) file. Submitted filename: Response to the reviewer docx copy.docx Click here for additional data file. 16 May 2022
PONE-D-22-05274R1
Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Experimentally Induced Hyperglycemic Rat Model by Streptozocin: Randomized Experimental Design
PLOS ONE Dear Dr. Ali, Thank you for resubmitting your work to PLOS ONE. Please make the corrections posed by Reviewer #2 so I can render a decision on this manuscript. Please submit your revised manuscript by Jun 30 2022 11:59PM. If you will need more time than this to complete your revisions, please reply to this message or contact the journal office at plosone@plos.org. When you're ready to submit your revision, log on to https://www.editorialmanager.com/pone/ and select the 'Submissions Needing Revision' folder to locate your manuscript file. Please include the following items when submitting your revised manuscript:
A rebuttal letter that responds to each point raised by the academic editor and reviewer(s). You should upload this letter as a separate file labeled 'Response to Reviewers'. A marked-up copy of your manuscript that highlights changes made to the original version. You should upload this as a separate file labeled 'Revised Manuscript with Track Changes'. An unmarked version of your revised paper without tracked changes. You should upload this as a separate file labeled 'Manuscript'. If you would like to make changes to your financial disclosure, please include your updated statement in your cover letter. Guidelines for resubmitting your figure files are available below the reviewer comments at the end of this letter. If applicable, we recommend that you deposit your laboratory protocols in protocols.io to enhance the reproducibility of your results. Protocols.io assigns your protocol its own identifier (DOI) so that it can be cited independently in the future. For instructions see: https://journals.plos.org/plosone/s/submission-guidelines#loc-laboratory-protocols. Additionally, PLOS ONE offers an option for publishing peer-reviewed Lab Protocol articles, which describe protocols hosted on protocols.io. Read more information on sharing protocols at https://plos.org/protocols?utm_medium=editorial-email&utm_source=authorletters&utm_campaign=protocols. ============================== We look forward to receiving your revised manuscript. Kind regards, Stephen D. Ginsberg, Ph.D. Section Editor PLOS ONE Journal Requirements: Please review your reference list to ensure that it is complete and correct. If you have cited papers that have been retracted, please include the rationale for doing so in the manuscript text, or remove these references and replace them with relevant current references. Any changes to the reference list should be mentioned in the rebuttal letter that accompanies your revised manuscript. If you need to cite a retracted article, indicate the article’s retracted status in the References list and also include a citation and full reference for the retraction notice. Comments to the Author 1. If the authors have adequately addressed your comments raised in a previous round of review and you feel that this manuscript is now acceptable for publication, you may indicate that here to bypass the “Comments to the Author” section, enter your conflict of interest statement in the “Confidential to Editor” section, and submit your "Accept" recommendation. Reviewer #1: All comments have been addressed Reviewer #2: (No Response) ********** 2. Is the manuscript technically sound, and do the data support the conclusions? The manuscript must describe a technically sound piece of scientific research with data that supports the conclusions. Experiments must have been conducted rigorously, with appropriate controls, replication, and sample sizes. The conclusions must be drawn appropriately based on the data presented.  Reviewer #1: Partly Reviewer #2: Partly ********** 3. Has the statistical analysis been performed appropriately and rigorously?  Reviewer #1: Yes Reviewer #2: I Don't Know ********** 4. Have the authors made all data underlying the findings in their manuscript fully available? The PLOS Data policy requires authors to make all data underlying the findings described in their manuscript fully available without restriction, with rare exception (please refer to the Data Availability Statement in the manuscript PDF file). The data should be provided as part of the manuscript or its supporting information, or deposited to a public repository. For example, in addition to summary statistics, the data points behind means, medians and variance measures should be available. If there are restrictions on publicly sharing data—e.g. participant privacy or use of data from a third party—those must be specified. Reviewer #1: Yes Reviewer #2: Yes ********** 5. Is the manuscript presented in an intelligible fashion and written in standard English? PLOS ONE does not copyedit accepted manuscripts, so the language in submitted articles must be clear, correct, and unambiguous. Any typographical or grammatical errors should be corrected at revision, so please note any specific errors here. Reviewer #1: Yes Reviewer #2: Yes ********** 6. Review Comments to the Author Please use the space provided to explain your answers to the questions above. You may also include additional comments for the author, including concerns about dual publication, research ethics, or publication ethics. (Please upload your review as an attachment if it exceeds 20,000 characters) Reviewer #1: (No Response) Reviewer #2: In the latest revision of the manuscript entitled “Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Experimentally Induced Hyperglycemic Rat Model by Streptozocin” the authors did address many of the concerns raised in the original review. In particular, the authors no longer refer to the model as an AD model, but rather as a model of DM, which was the major issue raised by both reviewers. The authors also added information about the blood glucose levels of the rats prior to treatment induction, as requested by Reviewer 2. They also attempted to simplify and clarify some of the results section by mostly comparing the treatment groups to the positive control group, as suggested. The English is also very much improved in the revised version. While the manuscript has indeed improved, it is my opinion that further improvements can be made. I have added further suggestions, line by line, below. Line 5: “Randomized Experimental Design” likely not needed in the title. Line 21: “… resulting in insulin resistance”. Insulin resistance is only present in T2DM, so this should be removed from the general statement about diabetes. The next line differentiates between T1DM and T2DM. Line 63: “.. resulting in insulin resistance.” Not all diabetes has insulin resistance – just T2DM. Line 71: Replace “diabetes” with “DM”. Line 77: Did you mean to use the word “hypertensive”, or did you mean “hyperglycemic”? Line 105: Change to “rat IL6 enzyme-linked assay (ELISA) kits” instead of “….. rat kits..” Line 106: The parentheses around the company name is not needed. Line 121: Consider rephrasing to make it clear that only groups II, III, IV, V, and VI received the STZ. Then the last sentence of this paragraph (Line 124 – 125) could be deleted. Line 138: This sentence is confusing. Do you mean that according to previous studies, all of the complications should be apparent within 4 – 8 weeks? Or do you mean that all of the diabetes complications in this study were apparent in 4 – 8 weeks? Table 1: Consider using averages and standard deviations rather than ranges. Line 144: Consider replacing “were treated” with “began treatment” since the treatment was continuous. Lines 149 – 151: The grammar needs correction. Suggestion: “The oral medications were dissolved in normal saline, and the correct dosage was calculated. The medications were administered to the animals through oral gavage, except for insulin, which was injected subcutaneously.” Line 154: How were the serum tubes stored? At what temperature and for how long? Line 158: “… homogenized by hand.” Was a mortar and pestle used? Or a tissue grinder? Can you specify? Also consider using the term “brain extracts” instead of “fluid of brain tissues”. Line 160: Consider replacing the phrase “for a few days” with something more formal like “three days” or “approximately 3 days”. Line 176: Consider changing “serum blood level” to “serum biomarkers”. Also, the colon is not needed in the section titles. Lines 180 – 182: The way this is phrased is confusing. Are you saying that all forms of treatment significantly reduced blood glucose levels compared to the positive control, except for donepezil and insulin glargine? Line 183: There is no need to keep repeating “(pre-treated with STZ)”, as that should be clear already when you refer to the positive control. Lines 188 – 190: Can you specify what kind of difference (e.g. reduction)? A similar issue exists in lines 191 – 195. Lines 196 – 206: Since there are no differences in LDL or HDL, can these paragraphs be combined/condensed? Line 204 – 205: If the ANOVA showed no significant difference, the analysis should stop there. How can one continue with the post hoc? Line 207 – 211: Same issue as above with the post hoc following a non-significant ANOVA. Please clarify. Line 214: The wording is confusing. I can see in the table that the insulin group had higher TNFa than the positive control, but this is not clear in the text. Line 223: Again, the wording is confusing. Are you saying that all treatment groups exhibited significantly lower levels of tau in the serum compared to the positive control? Line 226: Similar issue as that raised for line 223. Line 236 and 237: What does it mean when you say “the difference between all the groups was significant”? Are you saying that all of the groups were significantly different than the positive control? That’s how the data are presented in the table. Also, can you specify in the text whether they were higher or lower? This type of issue occurs several times in the results section. Please clarify throughout the manuscript. Table 3: The column titles are not consistent with those in Table 2. In Table 2, the column titles do not contain “STZ + ..” for the treatment groups. This is a minor issue. Line 261: The wording here makes it sound like STZ is naturally occurring in mammals, which is not the case. Line 272: Consider rephrasing. As it currently reads, it suggests that hyperglycemia is a cause of increased glucose levels, and those are the same things. Line 285 – 287: Consider revising. As mentioned earlier, if the ANOVA was not significant, no further post hoc should be performed. Lines 304 – 307: This is not clear. Consider rephrasing. Line 312: The text says “all the treatment groups” and only later mentions that glibenclamide was an exception. Consider rephrasing. General Comments: The structure of the article and the way the results are presented is somewhat confusing or hard to follow. It is not clear why these particular medications were chosen or why these exact biomarkers were chosen. It is hard to keep track of what affects what as you are reading through the manuscript. The tables can be a useful reference for anyone interested in how particular medications have been shown to affect particular biomarkers, so I think the results can be useful. A good place to bring things together and discuss the overarching relevance of the results would be the discussion section. However, I feel this is currently lacking, as the discussion section largely just restates the results. Furthermore, while I believe that the statistics are sound for the most part, there are several instances in the results section where the data are presented in a way that does not fit with the described statistical methods. These instances are mentioned above in the “line by line” section. ********** 7. PLOS authors have the option to publish the peer review history of their article (what does this mean?). If published, this will include your full peer review and any attached files. If you choose “no”, your identity will remain anonymous but your review may still be made public. Do you want your identity to be public for this peer review? For information about this choice, including consent withdrawal, please see our Privacy Policy. Reviewer #1: No Reviewer #2: No While revising your submission, please upload your figure files to the Preflight Analysis and Conversion Engine (PACE) digital diagnostic tool, https://pacev2.apexcovantage.com/. PACE helps ensure that figures meet PLOS requirements. To use PACE, you must first register as a user. Registration is free. Then, login and navigate to the UPLOAD tab, where you will find detailed instructions on how to use the tool. If you encounter any issues or have any questions when using PACE, please email PLOS at figures@plos.org. Please note that Supporting Information files do not need this step. ==============================
11 Jun 2022 I'm ready to edit and correct my manuscript if the manuscript returned back for request of correction or addition of an information. Submitted filename: Response to the reviewer docx 1.docx Click here for additional data file. 24 Jun 2022 Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Experimentally Induced Hyperglycemic Rat Model by Streptozocin PONE-D-22-05274R2 Dear Dr. Ali, We’re pleased to inform you that your manuscript has been judged scientifically suitable for publication and will be formally accepted for publication once it meets all outstanding technical requirements. Within one week, you’ll receive an e-mail detailing the required amendments. When these have been addressed, you’ll receive a formal acceptance letter and your manuscript will be scheduled for publication. An invoice for payment will follow shortly after the formal acceptance. To ensure an efficient process, please log into Editorial Manager at http://www.editorialmanager.com/pone/, click the 'Update My Information' link at the top of the page, and double check that your user information is up-to-date. If you have any billing related questions, please contact our Author Billing department directly at authorbilling@plos.org. If your institution or institutions have a press office, please notify them about your upcoming paper to help maximize its impact. If they’ll be preparing press materials, please inform our press team as soon as possible -- no later than 48 hours after receiving the formal acceptance. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information, please contact onepress@plos.org. Kind regards, Stephen D. Ginsberg, Ph.D. Section Editor PLOS ONE 29 Jun 2022 PONE-D-22-05274R2 Effects of Antidiabetic Agents on Alzheimer’s Disease Biomarkers in Experimentally Induced Hyperglycemic Rat Model by Streptozocin Dear Dr. Ali: I'm pleased to inform you that your manuscript has been deemed suitable for publication in PLOS ONE. Congratulations! Your manuscript is now with our production department. If your institution or institutions have a press office, please let them know about your upcoming paper now to help maximize its impact. If they'll be preparing press materials, please inform our press team within the next 48 hours. Your manuscript will remain under strict press embargo until 2 pm Eastern Time on the date of publication. For more information please contact onepress@plos.org. If we can help with anything else, please email us at plosone@plos.org. Thank you for submitting your work to PLOS ONE and supporting open access. Kind regards, PLOS ONE Editorial Office Staff on behalf of Dr. Stephen D. Ginsberg Section Editor PLOS ONE
  72 in total

1.  Blood collection.

Authors:  John Donovan; Patricia Brown
Journal:  Curr Protoc Immunol       Date:  2006-07

2.  Anesthesia.

Authors:  J Donovan; P Brown
Journal:  Curr Protoc Immunol       Date:  2001-05

3.  [Lipid profile and risk factors for cardiovascular diseases in medicine students].

Authors:  Vanessa Gregorin Coelho; Loeni Fátima Caetano; Raphael Del Roio Liberatore Júnior; José Antônio Cordeiro; Dorotéia Rossi Silva Souza
Journal:  Arq Bras Cardiol       Date:  2005-07-21       Impact factor: 2.000

4.  Longitudinal association of vascular and Alzheimer's dementias, diabetes, and glucose tolerance.

Authors:  J D Curb; B L Rodriguez; R D Abbott; H Petrovitch; G W Ross; K H Masaki; D Foley; P L Blanchette; T Harris; R Chen; L R White
Journal:  Neurology       Date:  1999-03-23       Impact factor: 9.910

5.  Total cholesterol, high density lipoprotein and triglyceride for cardiovascular disease in elderly patients treated with metformin.

Authors:  Hye Yeon Sin; Jin Yub Kim; Ki Hwa Jung
Journal:  Arch Pharm Res       Date:  2011-04-06       Impact factor: 4.946

Review 6.  Donepezil hydrochloride: a treatment drug for Alzheimer's disease.

Authors:  H Sugimoto
Journal:  Chem Rec       Date:  2001       Impact factor: 6.771

7.  Hydrated autoclave pretreatment enhances tau immunoreactivity in formalin-fixed normal and Alzheimer's disease brain tissues.

Authors:  R W Shin; T Iwaki; T Kitamoto; J Tateishi
Journal:  Lab Invest       Date:  1991-05       Impact factor: 5.662

8.  Intranasal insulin administration may be highly effective in improving cognitive function in mice with cognitive dysfunction by reversing brain insulin resistance.

Authors:  Hui Lv; Lingjiao Tang; Canshou Guo; Yongming Jiang; Ce Gao; Yifan Wang; Chongdong Jian
Journal:  Cogn Neurodyn       Date:  2020-02-19       Impact factor: 5.082

9.  DIABETIC ENCEPHALOPATHY. DIFFUSE AND FOCAL LESIONS OF THE BRAIN IN LONG-TERM DIABETES.

Authors:  E RESKE-NIELSEN; K LUNDBAEK
Journal:  Acta Neurol Scand Suppl       Date:  1963

10.  Metformin/Donepezil combination modulates brain antioxidant status and hippocampal endoplasmic reticulum stress in type 2 diabetic rats.

Authors:  Tajudeen Olabisi Obafemi; Oluwaseun R Olasehinde; Oyindamola A Olaoye; Kikelomo F Jaiyesimi; Funmilayo D Adewumi; Olusola B Adewale; Blessing A Afolabi
Journal:  J Diabetes Metab Disord       Date:  2020-05-16
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