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Statistics on mounting, intromissions, ejaculations, and more are presented (Heijkoop et al. Streptozotocin (50 mg/kg b.wt., i.p.) was dissolved in buffer citrate (pH 4.5) before delivery. For 15 days, rats were fed a fat-rich diet and glucose-rich drink to induce diabetes (Shalaby et al. The study used rats with intermediate diabetes and hyperglycemia (blood glucose 360 mg/dL) after 1 week (Shalaby et al. For the estimate, blood was taken from the tail vein. Twenty male Wistar albino rats weighing 200–250 g were given 20 µLof each medication, including dapoxetine non-formula for PE in normal and diabetic patients, saline as a vehicle, and IN lidocaine spray for 24 h to assess nasal toxicity and safety. The nasal septum and epithelial cell membrane were removed, and the rats were slain ethically and humanely using the anaesthetic approach outlined in this paper (Tengamnuay et al.

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Each male in each group was monitored for 40 min and measured daily. The experiment ended if intromission did not occur within 10 min after coupling with females. After female ingress, intromission happened 2, 3, 4, or 5 min later or less than 10 min for precise ejaculation time calculation and confirmation. Vaginal sperm was detected after ejaculation to confirm behaviour. After the initial ejaculation and observation time, male rats were slain by spinal dislocation under anaesthesia with a 1:1 (0.1 ml/100 gm) combination of ketamine (90 mg/kg b.wt.) and xylazine (5 mg/kg). After 24 h in 10% formaldehyde, the specimen was decalcified and dehydrated with ethyl alcohol. The specimens were cleaned in xylene before embedding in paraffin for 24 h at 56 °C in a hot air furnace. Slide microtone was used to make 5 mm paraffin beeswax tissue slabs for sectioning. The tissue segments were deparaffinized, mounted on glass transparencies, and stained with hematoxylin and eosin.

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Male sexually trained rats were well-maintained for 30 min following female cage entrance under a dimmed red light. The sexual activity occurred between 7 and 10 a.m. Male rats were caged under glass for sexual activity observation and video capture. Male rats were given 15 min to adjust before females arrived. Six cages received three to four oestrus-induced females since each male rat had its own cage. Light microscope slides of untreated and treated tissues were studied (Bancroft and Gamble 2008). Brain and nasal samples were buffered formalin-fixed for 48 h. Histological procedures included washing, dehydration, paraffin embedding, microtome slicing at 5 mm thickness, and hematoxylin and eosin staining (Bancroft and Gamble 2008). Tissues were embedded in paraffin wax after going through several manufacturing processes. The embedded slabs were sectioned using a microtome with a 5–6 mm cutter and stained with haematoxylin and eosin, as is customary (H&E). The sample size was obtained using G*Power (version 3.1) to guarantee statistical power for group differences. Thus, 42 adult male albino rats (average body weight 250–300 g; average age 3–4 months) were split into 7 equal groups of 6 rats to meet the expected sample size. Results were calculated using mean minus SEM. Statistically significant p values were 0.05 or less (Snedecor and Cochran 1982). The expected proteins of brain receptors, along with their 3D and 2D binding affinities and interactions, were assessed against dapoxetine in conventional and nanoformulation forms, lecithin, and chitosan through molecular docking studies utilizing the computational software Discovery Studio (DS), Structure-Based Design program (BIOVIA Inc., San Diego, USA). The 3D SDF X-ray crystal structure of the ligands was obtained from the PubChem website. A homology model of the tested receptors was furnished by the UniProt site and the protein data bank. The procedure was performed as discussed previously (Abou-Taleb et al. 2024), and the details of the study methodology were depicted in the supplemental file. One remarkable feature of PLGA NPs that supports its prospective use as an intranasal delivery method is its ability to entrap high amounts of DH. As reported in Table 3, the EE% fluctuated between 51.93 ± 0.70% and 95.29 ± 2.67%. A polynomial quadratic model was found to be appropriate through statistical ANOVA analysis. The entrapment was substantially influenced by the quantity of PLGA (A), concentration of PVA (B), and volume of aqueous internal phase (C) (p < 0.05). A reasonable difference between the predicted R2 (0.6813) and the adjusted R2 (0.9395) was achieved, resulting in an adequate precision of 15.05. Consequently, the three independent parameters significantly influenced the EE% values of DH-loaded PLGA NPs (p < 0.05). Equation illustrates the regression-coded equation for EE% (3). The increased drug encapsulation at a higher concentration of the PLGA polymer, as illustrated in Fig. 1a, may be due to the increased viscosity of the organic phase. This prevents drug molecules from diffusing out to the aqueous phase during the homogenization step, resulting in enhanced drug entrapment within the NP matrix (Sharma et al. These results are in good agreement with those provided by Gao et al. (2006), who stated that the higher the amount of PLGA, the higher the viscosity, which resists the shear forces of the solution and inhibits drug leakage. Accompanied by particle size evaluation, the prepared PLGA NPs were shown to be in the nanoscale range. The size of the PLGA NPs generated was between 185.51 ± 15.14 and 505.43 ± 25.28 nm, as illustrated in Table 2.

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Digital camera recordings showed male rodent reproductive behaviour. Mount latency (ML) was measured as the time it took a male to start sex without introduction. Intromission latency is the time between male copulation’s first and second intromissions. Introduction frequency (IF) is the number of intromissions before ejaculation begins. EL is the distance between intromission and ejaculation, whereas PEI is the time between ejaculation and intromission. The PDI of all PLGA NPs was between 0.059 and 0.494, indicating a polydispersity system that did not exhibit a very narrow (PDI < 0.05) or very broad (PDI > 0.7) size distribution (Cho 2014). The ZP of all of the DH-PLGA NP formulations displayed a high negative value between −31.25 mV and − 75.36 mV, Supplemented as Table S1. The linear model was determined to be suitable for the particle size data provided using ANOVA, and the adequacy/precision ratio of 9.889 suggests that the signal is sufficient. Equation (4) indicates the quantitative influence of the independent parameters on the particle size of DH–PLGA NPs in terms of coded values: The results indicated that the size of DH-PLGA NPs was significantly influenced by the PLGA polymer (p < 0.05), as illustrated in supplemntary Table S2. Figure 1b illustrates that the organic phase’s resistance to flow increases as the quantity of PLGA polymer increases, while the organic phase volume remains constant. This results in a particle that is more consistent and requires a greater shear force to break. The sink condition at 32 °C is used to evaluate the accumulative release behaviour of control DH and DH–PLGA NPs in SNES pH 5.5. DH–PLGA NPs gradually diffused into the release medium where the Q8 among various preparations ranged from 24.76 ± 5.22% to 80.70 ± 16.32%, in contrast to a much higher rate of pure DH at 3 h indicating dialysability, p > 0.05.

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Brain tissues were quickly frozen and kept at –80 °C for analysis. Various sexualities the parameters were estimated from mounts, intromissions, and ejaculations frequencies were recorded using a scoring device during sexual behaviour assessment, such as videos. The behaviour of a sexually trained male rat makes mounting, intromissions, and ejaculations easy to see. A backward jump and a strong shove mark the introduction (Heijkoop et al. Sexual behaviour was assessed using mount latency, intromission latency, and the time between being introduced to a female and mounting for the first time. Despite the fact that the quadratic correlation between the in vitro release and the three independent factors was demonstrated with an adequate precision value of 11.204, predicted R2 (0.3861), and adjusted R2 (0.8848), only the PVA concentration had a significant impact on the tracked response. The PLGA polymer and aqueous internal phase volume did not have a significant impact, with p values of 0.0696 and 0.0620, respectively. Equation (5) demonstrates the quantitative influence of independent factors on the release of PLGA NPs in the form of coded values. According to zero-order, first-order, and Higuchi equations, the release data were modeled. The pattern of DH release from the majority of PLGA NPs’ formulation matched the Higuchi equation, although certain PLGA NPs were fitted to zero- or first-order equations. In an effort to anticipate the in vivo enactment of the assembled PLGA NPs for intranasal delivery, ex vivo permeation studies were deconstructed. The cumulative quantity of DH was higher in the nasal mucosa, where DH-PLGA NPs were more permeated from PLGA NPs, which ranged from 170.57 ± 10.36 to 515.61 ± 29.41 µg/cm2 compared with the significantly slower permeation of 162.90 ± 14.0 µg/cm2 for crude DH, p < 0.05, as demonstrated at Table 4. Collectively, Table 5 summarizes the computed permeation parameters of the examined DH-loaded PLGA NPs through nasal mucosa. The transdermal flux values for the investigated PLGA NPs ranged from 15.03 ± 0.8 to 55.16 ± 3.6 µg/cm2 h, compared to 9.77 ± 0.9 µg/cm2 h for the control DH solution. Thus, the results obtained underscored the substantial function of PLGA NPs in the maintenance of DH emission and the enhancement of its nasal mucosa passage from 1.54 to 5.65 times that of the DH solution. The proposed sequential model for predicting the Q24 response was determined to be 3 FI with an adjusted R2 value of 0.6318, as revealed by ANOVA. This suggests that the model could account for nearly 63% of the total variance in the transdermal Q24.