1. Introduction
From a global perspective, rabbit production offers significant advantages in terms of sustainability, as rabbit farming does not directly compete with human food resources [
1]. Rabbit meat is recognized as a healthy and nutritious food due to its low fat content, high concentration of polyunsaturated fatty acids, proteins, and essential amino acids [
2].
Rabbits have a unique physiological capacity to digest cellulose-rich foods, being able to convert up to 20% of the ingested protein into body weight gain [
3]. Faostat (2024) [
4] data highlights the role of rabbit meat in the global context, particularly in countries where access to low-cost, high-quality proteins is essential for food security. The digestive system of rabbits is particularly adapted, characterized by a relatively small stomach, a highly efficient small intestine for nutrient absorption, and a voluminous cecum where microbial fermentation occurs [
5]. This adaptation allows fiber to play a critical role in intestinal health [
6,
7]. Balanced diets with appropriate fiber sources are fundamental to ensuring the health and performance of rabbits. Additionally, histological analysis of the digestive tract is essential to understand how different fiber sources affect intestinal function [
5]. In particular, the duodenum and jejunum play critical roles in nutrient absorption. Histological studies of these regions can reveal structural changes, such as alterations in intestinal villi, which are directly related to diet and serve as important indicators of intestinal health.
The processing of the pupunha heart of palm sheath (
Bactris gasipeaes) generates large amounts of waste (approximately 70% of its biomass) that can be used to obtain nanofibers. Cellulose nanofibers are produced from plant cell walls [
8] and can be used for animal nutrition. Nanofibers possess specific physicochemical characteristics, such as long chains, increased surface area, and hydrogen bonds, which confer a high capacity for interaction with lipids and proteins [
9,
10]. These properties can facilitate enzymatic action during digestion and modulate beneficial microbial fermentation in the cecum.
Vegetable fibers are an abundant natural resource that can be used to feed several animal species; however, ref. [
11] reported that the source, type, and fiber particle size can affect the development and health of the monogastric digestive tract. Moreover, digestible fiber and non-starch polysaccharides (NSPs) in the diet modulate the symbiotic microbiota in the cecum of rabbits, which ferments and converts the fiber into digestible components for the host [
12,
13]. In addition, with the increased industrial growth and demand for feed, it is necessary to develop new technologies and food resources to reduce production costs and ensure food security.
Incorporating nanofibers of the pupunha palm into a diet can bring advances in animal nutrition inherent to the nanoscale [
14], given their biocompatibility, low weight, and hydroxyl groups present on their surface [
15], which are capable of transporting nutrients and metabolites to cells. The greater surface area and smaller particle size of nanofibers [
16] increase their application potential [
17] and improve their incorporation into the diet and digestive capacity.
Some studies have highlighted the benefits of nanofibers [
8,
13,
18], including digestion modulation, dietary fat utilization [
19], antioxidant and adsorbent activity, and good acceptability by animals [
20]. Studies have shown that nanofibers have potential anti-inflammatory effects on intestinal epithelial cells [
21,
22,
23], reducing tissue injury caused by antinutritional factors. Other studies have shown the low cytotoxic potential of nanofibers of natural origin [
16,
24], enabling their use in animal feed to improve nutritional efficiency and contribute to a more sustainable production chain.
Although the effects of peach palm nanofibers on the development and health of the gastrointestinal tract of rabbits remain unexplored, it is already known that it is possible to use nanofibers in the rabbit diet. Additionally, evidence suggests that nanofibers can interact with intestinal epithelial cells, exerting an anti-inflammatory effect previously reported [
25,
26]. Absorption by intestinal cells can be enhanced by the presence of specific transporters in enterocytes, allowing greater nutrient assimilation throughout the digestive tract [
27]. However, it is necessary to define the appropriate level of inclusion in the diet. Considering the beneficial effects of nanofibers, we hypothesized that nanopupunha could promote growth and development in rabbits. Our team published the first study evaluating the effects of nanofibers from soybean hulls and pupunha hearts of palm sheaths in the diet of growing rabbits [
14] and observed that the pupunha peach palm improved the intestinal health of rabbits. However, in the present study, we investigated the optimal level of inclusion of nanofibers from the peach palm sheath on the zootechnical performance, organ morphometry, digestive content pH, intestinal histology, biochemical and immunological parameters, and cecum microbiota of growing rabbits.
2. Material and Methods
This experiment is a continuation of prior research examining the effects of dietary nanofibers on rabbit growth performance and health. Building on the methodologies established in the initial study, this experiment further investigates the impact of modified dietary compositions on specific physiological parameters. This research was carried out at the Rabbit Farming Unit of Pontifícia Universidade Católica do Paraná (PUCPR), −25.658030974669018, −49.28777735988852. All activities carried out in the laboratory must comply with the requirements set forth in: Law No. 6514, dated 22 September 1977, regarding occupational safety and health; Regulatory Standard No. 6 (NR-6), which regulates the use of Personal Protective Equipment (PPE); as well as the recommendations from ANVISA, RDC No. 306, dated 7 December 2004, which provides the Technical Regulation for the management of health service waste [
28].
The protocol was approved by the Ethics Committee for the Use of Animals (CEUA) at PUCPR, under approval number 903—2nd version. The experiment started on 25 March 2019, and spanned 42 days. During this period, the ambient temperature at the site ranged from 17 °C (minimum) to 24 °C (maximum) in March. The average relative humidity was 65.6%. The photoperiod was set to 12 h of light and 12 h of darkness. Twenty-four New Zealand rabbits (both males and females) were used, each weaned at 35 days of age and having an initial average weight of 0.911 ± 0.130 kg. A randomized block design was used based on initial body weight, with animals housed individually in cages (80 × 60 × 45 cm) and allocated into three groups of eight rabbits per treatment (n = 8). Throughout the study period, the animals had unrestricted access to water and feed.
2.1. Nanofiber Production Process
The nanofibers, sourced from peach palm sheaths, were produced at the Wood Technology Laboratory of EMBRAPA Florestas in Colombo/PR using a mechanical processing method. The peach palm samples were fragmented using a 450 W blender for five minutes and then processed in a Super Masscolloider Masuko Sangyo microprocessor (Kawaguchi City, Japan). This equipment uses a rotating disk paired with a stationary disk, with an adjustable gap for material deposition. Processing parameters included 1500 rpm speed, 30 cycles, and a 0.1 mm disk gap to achieve the nanofiber gel, resulting in a 7% concentration of nanofiber gel [
12] (
Figure 1). After defibrillation, the gel containing 93% moisture was refrigerated and added to the experimental diets. The gel’s nanofiber composition featured NDF at 9.40%, ADF at 6.76%, mineral matter 0.01%, crude protein at 0.00%, ethereal extract at 0.17%, P at 1.45%, and Ca at 0.15% on a dry matter basis, according to the Chemical and Physical Methods for Food Analysis [
29]. Diets were pelleted using an electric pellet machine (Grinder CAF-22 Stainless Steel 1/25 CV 300 Kg/h V17-M, Rio Claro, SP, Brazil) and dried in a forced-air oven (Fabbe, Primar—SL-102/1540, São Paulo, Brazil) at 55 °C for around 16 h to ensure suitable moisture levels for feed preservation.
2.2. Dietary Formulation
Based on nutritional standards for rabbit growth [
30], the diets consisted of a control and two experimental treatments with a basal diet with 14% FB, without the inclusion of nanopupunha; a Diet 3.5%, diet with 3.5% inclusion of nanopupunha; and a Diet 10.5%, diet with 10.5% inclusion of nanopupunha. No performance-enhancing antibiotics were used in the diet. The ingredient composition and nutrient values are provided in
Table 1.
2.3. Growth Performance Variables
In this study, we did not differentiate the results between males and females for the performance indicators, including final weight (FW), daily feed intake (DFI), and daily weight gain (DWG), which was measured by Weight gain = Final weight − Initial weight, and the feed conversion ratio (FC), which were determined from individual animal weight measurements at the beginning and end of the study. Feed intake was measured by weighing the feed provided, consumed, and wasted daily (Feed intake = Amount of feed offered − Amount of feed remaining). Diarrhea frequency was monitored daily using an adapted version [
31] to observe the presence or absence of diarrhea [
5].
2.4. Organ Morphometry
At the conclusion of the experiment, the rabbits were fasted for 12 h. Subsequently, all animals were humanely euthanized using a chemical method by a veterinarian, who administered pentobarbital at a dosage of 3 mg/kg of body weight, to collect samples from the jejunum and duodenum, cecal biological samples, and to measure the relative weights of their digestive organs (stomach, liver, small intestine—SI, and large intestine—LI) and accessory organs (kidneys and spleen) in a digital scale weighing (Marte AD3300, São Paulo/SP, Brazil). Organ weights were determined relative to the animals’ final body weight.
2.5. pH Measurements of Digestive Contents
Post-euthanasia, the digestive contents pH was measured in the stomach, jejunum, and cecum. Using a pH meter (Hanna Instruments, HI 99163, Smithfield, RI, USA), measurements were taken from specific regions: approximately 2 cm from the antropyloric region in the stomach, in the middle of the jejunum, and in the median area of the cecum, following a protocol adapted from [
14,
32].
2.6. Structural Intestinal Analysis
For structural analysis, 3 cm samples of the duodenum and jejunum were collected and stored in 10% formaldehyde for 72 h. At the PUCPR Histopathology Laboratory, samples were processed and embedded in paraffin. Four-micrometer sections were cut and stained using hematoxylin-eosin (HE). Samples were scanned using the Axio Scan Z1 microscope (ZEISS—Jena, Germany), and ZEISS software (ZEN 2.3) was used to perform the parameters such as villus height (AV), crypt depth (PC), villus width (LV), full mucosa thickness (ETM), and wall thickness (PE), along with the AV/PC ratio.
2.7. Ultrastructural Analysis of Intestinal Epithelium
Ultrastructural analysis was performed with samples 0.25 cm2 from the duodenum and jejunum, washed with saline solution (0.9%), and fixed in Karnovisk’s solution (2.5% glutaraldehyde and 3.424% cacodylate). Samples were then treated with osmium tetroxide, dehydrated, and dried in CO2 and were sputter-coated with gold and examined with a scanning electron microscope (Joel, JSM-6010PLUS/LA, software InTouchScope™, Tokyo, Japan) at Fundação Oswaldo Cruz (Fiocruz—Curitiba/PR, Brazil), focusing on villus structure and villus density (VD) within a 0.922 mm2 area, using six replications per treatment.
2.8. Blood Biochemical Parameters
Blood samples (5 mL) were collected on days 1 and 42 via cardiac vein puncture for analysis of blood glucose, total cholesterol, and triglycerides. Glucose levels were measured using the Accu-Chek Guide Kit (Basel, Switzerland), while cholesterol and triglyceride levels were assessed using Elitech kits (Sées, France). Plasma was obtained by centrifugation (10,000 rpm for 5 min) and stored at −20 °C for analysis with an EL80 automated reader at PUCPR’s Veterinary Hospital.
2.9. Immunological Parameters
Immunoglobulin levels were measured using Rabbit IgG and IgM ELISA Kits (ERB0171 and ERB0172, Fine Test, Wuhan, China). Blood samples were centrifuged, and serum was stored at −20 °C. Samples were diluted (IgG: 1:10,000; IgM: 1:30,000), and readings were taken at 450 nm using an Elisa reader (BioTek Instruments, Epoch2T, Winooski, VT, USA) [
14].
2.10. Cecal Microbiota Analysis
Cecal content samples were collected in sterile tubes and stored on ice. For bacterial analysis, 1 g of digest was diluted in a 1% peptone water solution. Total Enterobacteriaceae and lactic acid bacteria were enumerated using MacConkey Agar and MRS Agar, respectively. Plates were incubated at 37 °C for 24–48 h, and bacterial counts were recorded according to FDA guidelines [
33].
2.11. Statistical Analysis
All data were analyzed for model fit using Statgraphics
® 4.1. For performance parameters, initial body weight was used as a covariate. The model fit was assessed using the Generalized Linear Model (GLM) method, and the R
2 values and the significance of regression coefficients evaluated the adequacy of the model. Data were analyzed using Type III ANOVA, with means compared by Tukey’s test and the LSD (Least Significant Difference) test. For each comparison of means, 95% LSD intervals were calculated, providing an estimate of the minimum significant differences between treatments. The assumptions of homoscedasticity and normality were verified using Levene’s test and the Shapiro–Wilk test, respectively. The
p-values for these tests were <0.05. Additionally, scatter plots and histograms were generated for a visual assessment of homoscedasticity and normality assumptions. Regression was performed using the least squares method with individual values. Dunnett’s test was used for comparisons with the control, and a significance level of
p < 0.05 was adopted for all analyses. All statistical analyses were conducted using SPSS 25 [
34].