Fish meal replacement with poultry byproduct and black soldier fly larvae proteins: effects on growth, flesh quality, bioactivity, and physiological responses of Nile tilapia
Samar M. Aref, Heba A. Alian, Fatma M. Khodary, András Székács, Omar Saeed, Mohamed Hamdy Eid, Abdallah Elshawadfy Elwakeel, M. Alhumedi, Atef Fathy Ahmed, Tamer E. Moussa-Ayoub, Mohamed E. Salem
TL;DR
This study explores replacing fishmeal with poultry byproduct and insect proteins in Nile tilapia diets, finding that insect meal supports growth and health as effectively as fishmeal.
Contribution
The study demonstrates that insect meal from Hermetia illucens is a viable and sustainable alternative to fishmeal in aquaculture.
Findings
TIM diet showed highest growth rates and antioxidant activity in fish muscle.
TIM and TFM diets had the highest absorption surface area in fish.
Fish fed TIM had lower inflammation markers and normal organ architecture.
Abstract
The demand for fishmeal is increasing, but its supply is stagnating or even declining. There is an urgent need to find an eco-friendly and cost-effective alternative protein source. This study evaluated poultry by-product and insect meal as alternatives to fishmeal for the health performance and bioactivity of Nile tilapia. A Nile tilapia fry was divided into four groups with three replicates (No = 168). The first group was fed a basal diet containing 20% fishmeal (TFM). The second, third, and fourth groups received a basal diet where the fishmeal was substituted with poultry by-product meal (TPM), insect meal from Hermetia illucens (TIM), and a mixture of poultry by-product and insect meal (TMIX), respectively. The overall growth performance data indicated that TFM and TIM significantly achieved the highest growth rates and feed utilization (P < 0.05). The TIM diet significantly…
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Figure 6- —Hungarian University of Agriculture and Life Sciences
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Taxonomy
TopicsInsect Utilization and Effects · Dyeing and Modifying Textile Fibers · Insect Pest Control Strategies
Introduction
According to a report from the Food and Agriculture Organization^1^ Egypt ranked first in Africa and sixth globally in aquaculture in 2018. One of the main fish species cultivated in Egypt is Nile tilapia (Oreochromis niloticus), which holds significant economic value^2,3^. Its popularity can be attributed to its ability to adapt to various environmental conditions, consume a wide range of diets, and exhibit rapid growth^4^. As global demand for fish continues to rise, driven by population growth and changing dietary preferences, the need for sustainable production of Nile tilapia has become increasingly important^5^.
For many years, fishmeal (FM) has been the main protein source in aquatic nutrition due to its palatable flavor, balanced amino acid profile, and ease of digestion, which are vital features for improving nutrient absorption and utilization^6^. Natural sources of fishmeal have remained stable over the past decade, but demand and prices are rising drastically^7^. This highlights the need for sustainable, inexpensive, low-trophic substitutes for aquaculture protein.
Plant-based protein sources, such as soybean meal, corn gluten, peanut meal, and rapeseed meal, are frequently utilized as alternatives to fishmeal. These substitutes are favored due to their widespread availability, competitive pricing, and consistent supply^8^. However, these ingredients often exhibit nutritional limitations, such as amino acid imbalances and anti-nutritive elements, which hinder nutrient digestion and absorption, resulting in low utilization for aquatic animals^9,10^.
Animal by-products such as poultry by-product meal (PBM), meat meal, and tankage offer major potential as cost-effective diet components in fish production^11^. These ingredients are excellent sources of high-quality protein, essential amino acids, and energy content, like FM^12^. It has considerable potential as a protein source to substitute for fishmeal in the fish feed. However, animal by-products may be deficient in one or more essential amino acids. The most limiting essential amino acids (EAA) in this by-product are typically lysine in PM. The deficiencies can be overcome in the diet by supplementing with synthetic lysine^13^. Koch et al.^14^ reported that the use of 30% PBM and 20% soybean meal (SBM) with supplemental lysine, methionine, and taurine achieved the best performance in the growth of juvenile Nile tilapia. These findings support the strategic incorporation of PBM in aquafeed formulations to balance nutritional performance, economic feasibility, and environmental sustainability.
Recently, more innovative raw materials, such as insect meal (IM), have been proven to be highly valuable as an unconventional protein source^15,16^. Several studies on the partial and total substitution of insect meal for FM in fish and shrimp culture exist^17–19^. Owing to its high nutritional content, affordable price, and accessibility, insect meal has been used in aquatic nutrition^20^. Additionally, there is an increasing global interest in insect protein, not just for animal feed but also for human food systems, backed by supportive regulatory frameworks and an increase in consumer acceptance^21^. A variety of insect species are used in aquatic feed, with the black soldier fly (Hermetia illucens) being particularly valued. This species effectively converts food waste into high-quality protein. Its larvae have a crude protein content of 42.1%, whereas defatted one has 56.9%, which is slightly less than fish meal and comparable to soybean meal. Moreover, the amino acid profile of larvae is superior, making them a favorable alternative to fish meal^22^. In Nile tilapia, 80 g/kg inclusion of black soldier meal (BSM) successfully substituted for 70 g/kg of fish meal (FM) and 350 g/kg of soybean meal (SBM) without adversely affecting growth rate or feed efficiency^23^. In modern aquaculture, fish farmers prioritize economic returns, as feed costs represent nearly half of their operating expenses. Reducing these costs is vital for profitability and sustainability. So, BSM offers a cost-effective protein alternative^18^.
When introducing new ingredients into aquafeeds, it is essential to ensure they do not adversely affect fish growth, health, or product quality. While poultry by-product meal has been increasingly explored, studies on the use of defatted black soldier fly larvae meal remain limited, particularly in combination with other alternative proteins. Therefore, Oreochromis niloticus (Nile tilapia) was selected as a model species to evaluate the effects of substituting fish meal with poultry by-product meal and/or Black soldier fly larvae meal (BSFLM) on growth performance, economic efficiency, chemical composition, carcass morphometric indices, hematology, serum biochemistry, liver cytokine expression, muscle microbial load, organ histomorphology, and NF-κB immunohistochemical responses.
Materials and methods
Ethical agreement
All experimental procedures involving fish were conducted following the guidelines and regulations of the Faculty of Veterinary Medicine, Suez Canal University, Egypt. The experimental protocols were reviewed and approved by the Institutional Animal Care and Use Committee of Faculty of Veterinary Medicine, Suez Canal University, Egypt (Approval No: SCU-VET-AREC-R-2025020). All methods are reported in accordance with the ARRIVE guidelines (https://arriveguidelines.org).
Experimental diet
Insect meal was sourced from EGY MAG® Biotechnology Company in Egypt. The larvae were cultivated using food residues, specifically organic matter and waste from fruits and vegetables. They were harvested 14 days before reaching the pupal stage and then oven-dried at 50 °C for 24 h. After drying, the larvae were processed into a uniform powder using a feed mill and stored at 4 °C until needed. The insect meal contains the following nutritional values: 5281.9 kcal/kg of gross energy, 55% crude protein, 2.5% calcium, 1% phosphorus, 2.1% lysine, and 0.9% methionine. Diet ingredients such as fish meal, poultry byproduct, soybean meal, corn gluten, yellow corn, wheat flour, and sunflower oil were acquired from a feed enterprise. The ingredients were ground into a fine powder, analyzed for proximate composition, and then processed into 2.5 mm pellets using a feed pelleting machine. The pelleted diets were dried at 25 °C for 12 h in a cool, ventilated space and then stored at − 20 °C until needed. The experimental diets were formulated to contain 33% crude protein (isonitrogenous) and 4588.91 gross energy Kcal/kg diet (isocaloric). Diets were subjected to chemical analysis and were determined according to AOAC^24^ as shown in Table 1.Table 1. The composition and proximate chemical analysis of the experimental diets for Nile tilapia (0–10 weeks)^a^.Ingredients (g/kg)T_FM_T_PM_T_IM_T_MIX_Fish meal (71.3% CP)210.50–––Poultry byproduct meal (64.7% CP)–232.20–130.00Black soldier fly larvae (55% CP)––230.00130.00Corn gluten (66.24% CP)60.0060.0060.0060.00Soyabean meal (43% CP)250.00250.00316.54239.00Ground yellow corn (7.11% CP)160.00160.0087.50149.00Wheat flour (10.33% CP)206.75204.80200.00200.00Sunflower oil82.7563.0075.1061.90Limestone (38% Ca)1.28–2.7–l-lysine (purity 99%)–0.202.100.80dl-methionine (purity 98%)–0.501.041.30Vitamins and mineral premix^b^28.7229.3024.2228.00Vitamin C (mg/kg)50.0050.0050.0050.00Total1000.001000.001000.001000.00Crude protein (g/kg)330.00330.00330.00330.00GE (Kcal/kg)^c^4588.904588.904588.904588.90Chemical composition (on a wet basis %)^d^ Moisture9.108.529.908.83 Crude protein32.8032.6532.8532.77 Crude fat8.169.7510.5610.78 Ash20.2616.2915.8710.72Data are presented as mean ± SE. Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
Experimental design and feeding regime
A total of one hundred sixty-eight healthy Nile tilapia (Oreochromis niloticus) fish fry were collected from the Fisheries Research Institute at Suez Canal University (SCU) and transferred to the Farming and Technology Institute at Suez Canal University (SCU) for the experiment. Initially, the fish were acclimated for 2 weeks and fed a basal meal. After this adaptation period, they were randomly assigned to four groups (initial weight 11.99 ± 0.08 g). Each group consisted of 42 fish and was then divided into three replicates (14 fish per replicate). Each replicate was put and fed separately in a glass aquarium (90 × 50 × 40 cm), featuring 30% daily water changes using clean, dechlorinated water. The first control group (T_FM_) was fed a basal meal containing 20% fish meal. The second, third, and fourth groups were fed a basal meal where the fish meal was replaced with poultry by-product meal (T_PM_), insect meal (T_IM_) sourced from de-fatted black soldier fly larvae (Hermetia illucens), and a mixture (1:1) of poultry and insect meal (T_MIX_), respectively. The fish were fed at a rate of 3% of their body weight twice daily, at 8:00 a.m. and 2:00 p.m., for 10 weeks. Mortality was monitored daily, and the fish mass was measured every 2 weeks to adjust feeding amounts accordingly. The aquaria were equipped with automatic aerators, and daily monitoring of dissolved oxygen, pH, and temperature was conducted. Temperature, pH, and dissolved oxygen were measured during the experimental period, and it was recorded at 31.09 ± 0.51 °C, 7.8 ± 0.24, and 4.16 ± 1.36 mg/L respectively. Also, water conditions were maintained at ammonia levels below 0.1 mg/L, and nitrate concentrations under 1.7 mg/L^25^.
Sampling
The body weight of fish from all groups and replicates was measured every 2 weeks. After 10 weeks of being fed the experimental diets, the fish were subjected to various analyses. To minimize handling stress, the fish were fasted for 24 h before sampling, and three fish from each replicate were anesthetized with a clove oil solution (12.5 mg/L)^26^. Blood samples were collected from the caudal vein using a clean syringe and divided into two portions. One portion was placed in heparinized Eppendorf tubes for hematological assays, while the other portion was transferred to non-heparinized tubes. For biochemical analysis, serum from the non-heparinized blood was obtained through centrifugation at 3500×g for 15 min. Additionally, at the end of the experimental period, fish were humanely euthanized using an overdose of clove oil (200 mg/L) until complete cessation of opercular movement was observed, after which immediate dissection and tissue collection were performed. Then, three other random fish samples from each replicate were taken to assess carcass indices. Also, three fish from each replicate were used to determine the microbial quality of the fish. Another three random fish samples were stored at − 20 °C for proximate analysis. Frozen muscle and liver samples were preserved in labeled Eppendorf tubes at − 20 °C to evaluate total phenolic content, antioxidant activity, Malondialdehyde (MDA) content, and liver cytokine assays. For histopathological examination, tissues from the intestine, liver, kidney, and spleen were removed and immediately fixed in 10% formalin.
Growth performance
Every 2 weeks, all fish from each replicate were weighed to determine the following growth indicators as follows:
\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} & {\text{Weight gain}}\left( {{\mathrm{WG}}} \right)\;\left( {\mathrm{g}} \right) = {\text{final wt}}.\left( {\mathrm{g}} \right)-{\text{initial wt}}.\left( {\mathrm{g}} \right){.} \\ & {\text{Feed conversion ratio }}\left( {{\mathrm{FCR}}} \right) = {\text{feed intake }}\left( {\mathrm{g}} \right){/}{\text{WG }}\left( {\mathrm{g}} \right){.} \\ & {\mathrm{WG}}\% = {1}00 \times \left( {{\text{final wt}}.,\;{\mathrm{g}}-{\text{initial wt}}.,\;{\mathrm{g}}} \right){/}{\text{initial wt}}{.} \\ & {\text{Specific growth rate}}\% \;\left( {{\mathrm{SGR}}} \right) = \left[ {{\mathrm{Ln}}\left( {{\text{final wt}}.,\;{\mathrm{g}}} \right)-{\mathrm{Ln}}\left( {{\text{initial wt}}.,\;{\mathrm{g}}} \right){/}{\text{experimental days}}} \right] \times {1}00 \\ & {\text{Protein efficiency ratio }}\left( {{\mathrm{PER}}} \right) = {\text{WG }}\left( {\mathrm{g}} \right){/}{\text{protein intake }}\left( {\mathrm{g}} \right){.} \\ & {\text{Survival rate}}\% = {1}00 \times \left( {{\text{initial fish number}}-{\text{dead fish number}}} \right){/}{\text{initial fish number}}{.} \\ \end{aligned}$$\end{document}Economic evaluation
The feed cost to produce one kilogram (kg) of body weight at the end of the study period was analyzed to evaluate the economic parameters of the control diet vs the test diet^27^. Detailed economic evaluation data are provided in Table S1 (Supplementary Materials).
Chemical composition and bioactivity profile of experimental diets and carcasses of Nile tilapia
Proximate composition of experimental diets and whole carcasses
Experimental diets, and whole fish carcasses were analyzed for moisture, crude protein, crude fat, and ash following the methods outlined by^24^. Moisture content was determined by drying the samples at 105 °C until a constant weight was achieved. Crude protein was assessed using the Kjeldahl method (Kjeldahl-ATN-300 BonninTech, China), with nitrogen content multiplied by 6.25 to calculate the protein content. Ash content was analyzed by incinerating the samples at 550 °C for 12 h. Crude fat was quantified using the Soxhlet method with extraction by petroleum ether. All analyses were conducted in triplicate.
Total phenolic content (TPC) in experimental diets and Nile tilapia muscle
The Folin–Ciocalteu technique was used to determine the total phenolic content^28^ with slight modifications. First, extraction was carried out by adding 50 mL of methanol to 1 g of the sample, which was then homogenized for 4 h at 25 °C and filtered. Next, 900 μL of Folin–Ciocalteu reagent was mixed thoroughly with 100 μL of the extract and allowed to stand for 5 min. After that, 0.75 mL of a 7% sodium carbonate solution was added to the mixture, which was vortexed for 30 s and then left to settle in the dark for 60 min. The absorbance was measured using a PG spectrophotometer (PG Instruments Ltd., Felsted, Dunmow, UK) at a wavelength of 725 nm. The phenolic content was calculated using gallic acid as a standard and expressed as mg/100 g on dry basis.
Antioxidant activity determination in experimental diets and Nile tilapia muscle through DPPH assay
According to Tamsen et al.^29^, 2,2-diphenyl-1-picrylhydrazyl (DPPH) was utilized as a free radical to assess antioxidant activity. One gram of the sample was mixed with 50 mL of methanol and shaken for 3 h at room temperature. Afterward, the mixture was centrifuged for 20 min at 3000 rpm. Next, 3.9 mL of the DPPH methanol solution was combined with 100 μL of the methanolic extract (supernatant) of the sample. This mixture was then incubated at room temperature for 30 min in the dark. Finally, the absorbance was measured at 517 nm using a PG spectrophotometer. To determine the % DPPH radical scavenging activity, the following formula was used:
\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$${\text{Antioxidant activity}}\% = \left[ {\left( {{\text{Abs blank}}-{\text{Abs sample}}} \right){/}{\text{Abs blank}}} \right] \times {1}00$$\end{document}Determination of MDA in Nile tilapia muscle
The malondialdehyde (MDA) content of fish muscle was measured using fish MDA ELISA kits (Cat. No. EK750261) from AFG Bioscience LLC, Northbrook, Illinois, USA, following the method of Botsoglou et al.^30^.
Carcass morphometric indices
The carcass morphometric indices were determined as follows^18^:
\documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$\begin{aligned} & {\mathrm{Dressing}}\% = \left[ {\left( {{\text{dressed carcass weight}}{/}{\text{live weight}}} \right)} \right] \times {1}00. \\ & {\text{Hepatosomatic index}}\;\left( {{\mathrm{HIS}}\% } \right) = \left[ {\left( {{\text{hepatopancreas weight}}{/}{\text{body weight}}} \right)} \right] \times {1}00. \\ & {\text{Visceral index}}\;\left( {{\mathrm{VSI}}\% } \right) = \left[ {\left( {{\text{visceral weight}}\;\left( {\mathrm{g}} \right){/}{\text{body weight}}\;\left( {\mathrm{g}} \right)} \right)} \right] \times {1}00. \\ \end{aligned}$$\end{document}Hematological parameters
Hemoglobin (Hb), packed cell volume (PCV), mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH), mean corpuscular hemoglobin concentration (MCHC), and platelet values were measured using a blood cell analyzer (Tecom 5000, 2017, China). The red blood cell (RBC) and white blood cell (WBC) counts were determined according to the method described by^31^. Differential counts of lymphocytes, neutrophils, monocytes, eosinophils, and basophils were identified by smears stained with Wright Giemsa.
Serum biochemical parameters
The aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP) were detected colorimetrically by a semi-auto chemistry analyzer (Mindray, India) using chemical kits provided by Bio Med® Diagnostic Co., Egypt, following the manufacturer’s instructions. Serum total proteins and albumins were measured according to^32^, while globulin and A/G ratio were calculated mathematically. Creatinine and urea were measured calorimetrically using available kits from SPECTRUM® Co., Egypt, according to standard protocols^33^. Serum cholesterol, triglycerides, high-density lipoprotein (HDL), and low-density lipoprotein (LDL) were determined by atomic absorption spectrophotometry using the commercial kits provided by Bio Med ® Diagnostic Co., Egypt, while very low-density lipoprotein (VLDL) was calculated mathematically.
Liver cytokines assay
Liver tissues were collected and homogenized in a glass homogenizer at a ratio of 1:10 in phosphate-buffered saline (PBS) with a pH of 7.4. After homogenization, the mixture was centrifuged at 5000×g for 5 min at a temperature between 6 and to 8 °C. The supernatant was then carefully removed for cytokine analysis.
For measuring fish interleukin-10 (IL-10) levels in the liver, fish IL-10 ELISA kits (Cat. No. QS0059FI SL0043Ch) from Sun Long Biotech Co., LTD, China, were utilized following the manufacturer’s instructions. Additionally, fish tumor necrosis factor-α (TNF-α) levels were quantitatively determined using fish TNF-α ELISA kits (Cat. No. SL0055FI) from Sun Long Biotech Co., LTD, as per the manufacturer’s protocol.
Microbial load examination
Three fish samples were collected from each replicate to assess the microbial load. Aseptically, 10 g of the blended sample were removed from the Petri dish, and 90 mL of sterile buffered peptone water was added. After 2 min, the samples were homogenized. The pour plate method (Merck, Darmstadt, Germany) was employed to determine aerobic plate counts (APC). Violet red bile (VRB) agar was used to measure the total coliform count, while Escherichia coli (E. coli) colonies were grown on eosin methylene blue (EMB) agar plates to confirm the presence of typical purple colonies. On Slant Agar, presumed colonies that appeared blue–black with dark centers and a green metallic sheen were streaked. The results are reported as log CFU/g of sample. Molds and yeasts were identified using plate count agar that contained 100 µg/mL of cidostane^34^.
Organ histomorphology
Liver, kidney, spleen, and the initial segment of the small intestine samples were gathered from each fish (three fish/group). Organs measuring about 0.5 mm were preserved for 24 h in a 10% buffered neutral formalin solution, dehydrated using a sequence of increasing ethanol concentrations (from 70 to 100%), cleaned in xylene, and then embedded in paraffin wax. Paraffin sections were cut with a microtome to a thickness of 5–7 μm (Leica RM 2155, England). Routine staining procedures were conducted using Harris’ Hematoxylin and Eosin (H&E) stain^35^. Photomicrographs were captured using an Olympus BX-41 research microscope, equipped with a digital AMT camera and its image-capturing software (AMT V600.259). 50 well-aligned villi were inspected from each section of all intestinal segments to measure the intestinal villi length, width, and absorption surface area. The intestinal villi length was assessed from their tip to the base, and the width was assessed at the half-height point. These parameters were analyzed using Image J software (version 1.33–1.34; National Institutes of Health, Bethesda, MD, USA). Absorption surface area was calculated as follows: ASA (mm^2^) = villus height × villus width^36^.
Immunohistochemical investigation
Liver samples were preserved in 4% paraformaldehyde at pH 7.4 for 48 h. The fixed tissue was processed on positively charged slides for NF-κB immunostaining, deparaffinized in xylene, and rehydrated through decreasing alcohol concentrations. Sections were treated with an endogenous peroxidase blocking solution (DAKO reagent, Cat. No S2001)^35^. The primary antibody used was anti-mouse polyclonal NF-κB (1:100 dilution, catalog # sc-8008, Santa Cruz Biotechnology, Heidelberg, Germany). Slides were rinsed three times in 0.1 M PBS (pH 7.4) with 0.5% Triton X-100 for 5 min each and then incubated for 4 h at room temperature with biotinylated goat anti-mouse IgG (1:600, catalog # 31800, Invitrogen, Waltham, MA, USA). For detection, slides were treated with 3,3′-diaminobenzidine (DAB) for 30 min and counterstained with Mayer̛ s hematoxylin. The slides were then examined under a microscope for target protein expression^35^. The percentage of immunoreactivity intensity was determined using Image J software (version 1.33-1.34; National Institutes of Health, Bethesda, MD, USA).
Statistical analysis
In this study, statistical analysis using the SPSS program (SPSS Statistics 20 for Windows) we was conducted to compare the means and standard errors of various groups. It was performed using a one-way ANOVA, followed by a Duncan test as a post hoc analysis to identify differences among the groups^37^. For each parameter, we reported the mean ± standard error (SE), along with P values. The significant differences were considered at P < 0.05.
Results
Growth performance
Table 2 displays the overall growth data of Nile tilapia. The final BW, weight gain, WG%, and SGR% of fish in T_IM_ were not differ significantly from those of fish in T_FM_. Besides, T_FM_ and T_IM_ significantly achieved the best FCR. The cumulative feed intake and protein intake didn’t reveal significant changes among groups. T_FM_ had the greatest PER than T_PM_ and T_MIX_. PER of T_IM_ was not significantly different from T_FM,_ T_PM,_ or T_MIX_.Table 2. The overall growth performance of Nile Tilapia fed on different experimental diets from 0 to 10 weeks.ParameterT_FM_T_PM_T_IM_T_MIX_P valueGroup Initial weight (g/fish)11.85 ± 0.1712.02 ± 0.0111.84 ± 0.1212.26 ± 0.260.32 Final body weight (g/fish)36.33^a^ ± 0.8629.89^b^ ± 1.7934.21^ab^ ± 0.5631.08^b^ ± 1.780.03 Weight gain (g/fish)24.48^a^ ± 0.7817.86^b^ ± 1.7822.37^ab^ ± 0.4918.81^b^ ± 1.980.03 FI (g/fish)41.81 ± 1.0239.78 ± 1.0341.16 ± 0.1940.37 ± 0.500.33 FCR1.70^b^ ± 0.012.25^a^ ± 0.151.84^ab^ ± 0.042.18^a^ ± 0.200.04 WG (%)206.53^a^ ± 5.98148.59^b^ ± 14.84188.96^ab^ ± 3.63154.07^b^ ± 18.740.03 SGR (%/day)1.58^a^ ± 0.031.29^b^ ± 0.081.49^ab^ ± 0.021.35^b^ ± 0.080.04 Protein intake13.79 ± 0.3313.12 ± 0.3413.58 ± 0.0613.32 ± 0.160.33 PER1.76^a^ ± 0.031.35^b^ ± 0.101.63^ab^ ± 0.041.43^b^ ± 0.120.03 Survival rate %100.00^a^ ± 0.0090.47^ab^ ± 6.2997.61^a^ ± 2.3883.33^b^ ± 2.380.04Data are presented as mean ± SE. Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
There was no significant difference between survival rates of the T_FM_, T_IM_, and T PM groups. While T_MIX_ had the lowest survival rates (Table 2).
Chemical composition profile of experimental diets and carcasses of Nile tilapia
Table 3 presents the results of the chemical composition assay. The whole-body composition analysis revealed that T_FM_ and T_IM_ had the highest moisture content, while T_PM_ and T_MIX_ had slightly lower moisture levels. Significant differences were noted in the protein content, with T_MIX_ exhibiting the highest protein value, whereas T_IM_ had the lowest at 20.88%. Additionally, T_MIX_ had the significantly highest fat content, while T_FM_ recorded the lowest fat value (P < 0.001). TFM also had the highest ash content, followed by T_IM_, while T_PM_ had the lowest ash content.Table 3. Chemical profile assay of experimental diets, whole carcass, and fish muscle of Nile tilapia.ParameterT_FM_T_PM_T_IM_T_MIX_P valueGroup Whole carcass composition (on a wet basis %) Moisture72.21^a^ ± 0.9871.22^b^ ± 0.8872.23^a^ ± 0.7571.04^b^ ± 0.74< 0.001 Crude protein20.93^ab^ ± 0.6821.03^ab^ ± 0.5620.88^b^ ± 0.4521.11^a^ ± 0.540.06 Crude fat2.33^c^ ± 0.312.94^b^ ± 0.223.11^b^ ± 0.413.46^a^ ± 0.31< 0.001 Ash2.55^a^ ± 0.121.71^d^ ± 0.212.22^b^ ± 0.311.97^c^ ± 0.22< 0.001 Experimental diets Total phenolic content (mg/100 g)43.00^b^ ± 1.0037.93^c^ ± 0.0646.33^a^ ± 0.3342.16^b^ ± 0.10< 0.001 Antioxidant activity (%DPPH radical scavenging activity)10.63^a^ ± 0.187.53^c^ ± 0.029.63^b^ ± 0.129.71^b^ ± 0.12< 0.001 Fish muscle Total phenolic content (mg/100 g)33.85^b^ ± 0.0230.38^c^ ± 0.0634.76^a^ ± 0.1133.59^b^ ± 0.08< 0.001 Antioxidant activity (%DPPH radical scavenging activity)8.70^a^ ± 0.076.55^c^ ± 0.108.44^a^ ± 0.177.78^b^ ± 0.10< 0.001 MDA (pg/mg)1.87^b^ ± 0.032.14^a^ ± 0.011.79^b^ ± 0.011.84^b^ ± 0.02< 0.001Data are presented as mean ± SE. Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
The total phenolic content of the experimental meals showed significant variation among the groups (P < 0.001). The highest phenolic content was found in the T_IM_ group, followed by T_FM_ and T_MIX_, while T_PM_ displayed the lowest level. Additionally, the total phenolic content in the fish muscle reflected the trends observed in the meals, with a significant increase noted among treatments (from T_PM_ to T_MIX_/T_FM_ to T_IM_). Similarly, the antioxidant activity (%) in the meals also differed significantly between treatments (P < 0.001). The T_FM_ group exhibited the highest antioxidant activity, whereas T_PM_ had the lowest. In terms of muscle antioxidant activity, significant variation was present, with T_FM_ and T_IM_ recording the highest values, while T_PM_ again had the lowest. Notable differences were also seen in the MDA content of the muscle among the groups, with T_PM_ registering the highest value and T_IM_ showing the lowest.
Carcass morphometric indices
T_FM_ and T_IM_ showed significantly higher live body weights and dressing weights. T_FM_ and T_IM_ had significantly heavier livers than T_PM_ and T_MIX_. There were no significant changes detected in HIS, visceral weight, and visceral index among treatments (P > 0.05), Table 4.Table 4. Carcass morphometric indices of Nile tilapia fed on different experimental diets.ParameterT_FM_T_PM_T_IM_T_MIX_P valueLive body weight (g/fish)36.33^a^ ± 0.8629.89^b^ ± 1.7934.21^ab^ ± 0.5631.08^b^ ± 1.780.03Dressing wt.30.79^a^ ± 0.5425.13^b^ ± 1.4228.96^ab^ ± 0.8626.15^b^ ± 1.820.04Dressing (%)84.78 ± 1.1184.16 ± 1.7684.70 ± 2.8884.04 ± 1.450.98Liver wt.1.91^a^ ± 0.300.947^b^ ± 221.11^a^ ± 0.240.62^b^ ± 0.220.03Hepatosomatic index (HSI)4.30 ± 0.453.21 ± 0.743.04 ± 0.551.82 ± 0.370.07Visceral wt.6.69 ± 0.744.45 ± 0.415.28 ± 0.504.75 ± 0.870.16Visceral index (VSI)15.30 ± 1.0115.26 ± 1.3715.01 ± 2.0515.18 ± 1.280.99Data are presented as mean ± SE. Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
Hematology (complete blood picture, CBC)
The means of red blood cells, PCV, Hb, MCV, MCH, and MCHC were not statistically different among groups. White blood cells, differential leukocyte counts (lymphocytes, neutrophils, monocytes, eosinophils, and basophils), and platelets had minimal changes among groups with no significant effect detected (P > 0.05). The hematological indices varied from the normal values for healthy fish (Table 5).Table 5. Complete blood picture (CBC) of Nile Tilapia fed on different experimental diets.ParameterT_FM_T_PM_T_IM_T_MIX_P valueGroup RBCs (106 U/L)2.82 ± 0.022.69 ± 0.522.51 ± 0.172.70 ± 0.060.88 PCV %27.00 ± 1.5225.33 ± 2.9033.73 ± 3.2234.23 ± 2.830.10 Hb (g/dL)9.05 ± 0.738.26 ± 1.3310.23 ± 0.9710.36 ± 0.860.44 MCV (fL)95.67 ± 6.1596.83 ± 7.66114.80 ± 15.41111.93 ± 6.960.42 MCH (pg)32.10 ± 2.8731.37 ± 4.1340.60 ± 1.1138.26 ± 2.260.12 MCHC (g/dL)33.59 ± 2.2232.32 ± 2.8830.30 ± 0.0030.30 ± 0.000.53 WBCs (10^3^ U/L)81.33 ± 11.7286.66 ± 27.0374.33 ± 73.1068.00 ± 80.000.84 Lymphocytes94.66 ± 2.3396.33 ± .6695.00 ± 0.5794.33 ± 1.200.75 Neutrophils1.66 ± 0.661.66 ± 0.332.00 ± 0.572.33 ± 0.330.75 Monocytes3.33 ± 1.332.00 ± 1.002.33 ± 0.332.66 ± 1.200.82 Eosinophils0.33 ± 0.330.00 ± 0.000.66 ± 0.330.33 ± 0.330.48 Basophils0.33 ± .330.00 ± 0.000.00 ± 0.000.33 ± 0.330.59 Platelets (10^3^ u/L)104.33 ± 9.02105.33 ± 14.4985.00 ± 5.77115.00 ± 20.000.49Data are presented as mean ± SE (n = 6). Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
Serum biochemical parameters
Regarding the data related to the liver function test. For the ALT level, T_PM_ had the lowest significant value compared to T_MIX_. No significant differences were detected among groups in AST, ALP, total protein, albumin, globulin, and A/G ratio. For the creatinine level, there was a significant difference observed (P = 0.003). T_PM_ was significantly higher than the other groups. For urea, no significant differences among groups were found. Concerning the data related to the lipid profile, T_MIX_ showed higher cholesterol levels, either significantly compared to T_PM_ or numerically compared to T_FM_ and T_IM_. Other parameters, including triglycerides, HDL, LDL, and VLDL, did not differ significantly among groups (P > 0.05), Table 6.Table 6. Serum biochemical parameters of Nile Tilapia fed on different experimental diets.ParameterT_FM_T_PM_T_IM_T_MIX_P valueGroup ALT (U/L)23.55 ± 2.2021.68 ± 2.6823.48 ± 1.8924.90 ± 2.200.17 AST (U/L)21.86 ± 2.6322.88 ± 2.4922.68 ± 2.5922.40 ± 1.370.89 ALP10.36 ± 0.8010.96 ± 1.0211.72 ± 2.0610.86 ± 1.270.43 Total protein (g/dL)6.01 ± 0.386.33 ± 0.335.72 ± 0.285.60 ± 0.320.44 Albumin (g/dL)2.83 ± 0.142.81 ± 0.122.70 ± 0.152.79 ± 0.160.93 Globulin (g/dL)3.17 ± 0.063.52 ± 0.293.01 ± 0.392.80 ± 0.260.47 A/G ratio0.92 ± 0.060.87 ± 0.130.92 ± 0.101.03 ± 0.110.74 Creatinine (g/dL)0.37^b^ ± 0.040.60^a^ ± 0.020.38^b^ ± 0.050.39^b^ ± 0.040.003 Urea (g/dL)6.61 ± 0.246.21 ± 0.346.30 ± 0.286.42 ± 0.340.79 Cholesterol (mg/dL)152.18^ab^ ± 4.17143.03^b^ ± 6.54152.94^ab^ ± 10.33172.02^a^ ± 8.850.08 Triglyceride (mg/dL)259.66 ± 14.56270.11 ± 18.45273.38 ± 17.50257.26 ± 13.180.87 HDL (mg/dL)31.08 ± 2.7830.28 ± 1.8731.58 ± 2.3530.26 ± 0.940.96 LDL (mg/dL)69.16 ± 6.2158.72 ± 9.3466.68 ± 13.9790.30 ± 10.040.18 VLDL (mg/dL)51.93 ± 2.9154.02 ± 3.6954.67 ± 3.5051.45 ± 2.630.87Data are presented as mean ± SE (n = 6). Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
Microbial load of muscle fillets
Table 7 presents the microbial load of fish muscle fillets. Fish samples from the T_FM_ and T_MIX_ groups exhibited statistically similar Aerobic Plate Count (APC) values, which were significantly higher than those of the T_PM_ and T_IM_ groups (P = 0.001). Fish from the T_IM_ group had a significantly lower total coliform count compared to the other groups (P < 0.001). Additionally, fish from the T_FM_ and T_PM_ groups did not differ statistically from each other, while the T_MIX_ group had the highest coliform count (T_IM_ < T_FM_/T_PM_ < T_MIX_). No colonies of E. coli, yeast, or mold were detected in any of the fish fillet samples from all groups.Table 7. Muscle fillets microbial load of Nile Tilapia at the end of the study period (10 weeks).ParameterT_FM_T_PM_T_IM_T_MIX_SEM**P* valueGroup Aerobic plate count (APC)4.37^a^ ± 0.014.16^b^ ± 0.024.17^b^ ± 0.014.52^a^ ± 0.100.040.001 Total coliform2.27^b^ ± 0.032.35^b^ ± 0.022.01^c^ ± 0.043.84^a^ ± 0.030.21< 0.001 Escherichia coli (E. coli)NDNDNDNDNDND Molds and yeastsNDNDNDNDNDNDData are presented as mean ± SE (n = 6). Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
Liver cytokines assay
T_IM_ significantly showed the lowest liver TNF-α level compared to T_FM_, T_PM_, and T_MIX_ (P < 0.05). For IL-10 level, significant differences were shown among groups (P < 0.05), with the T_IM_ group exhibiting higher levels followed by T_FM_, T_MIX,_ and then T_PM_ (Fig. 1).Fig. 1. Liver TNF-α and IL-10 (pg/mL) level among treatment groups at 10 weeks. Means having separate letters are significantly different from each other, P < 0.05.
Organ histomorphology
All the experimental groups exhibited a normal architecture of the intestine. There were no noticeable signs of inflammation or damage (Fig. 2A–D). Morphometric analysis of intestinal sections by ImageJ software is presented in Table 8. T_FM_ had the maximum villous width compared to the T_IM_ and T_MIX_ groups. The significantly highest recorded absorption surface area (ASA) was detected in the T_FM_ and T_IM_ groups compared to T_MIX_.Fig. 2. Photomicrograph of H&E-stained sections from the intestine of N. tilapia (Scale bar 100 μm) showing: normal architectures of simple columnar enterocytes lining mucosal villi (V), submucosal layer and muscular layer (M) (A–D). Enhanced absorption surface area in the T_FM_ group (A) and T_IM_ group (C), followed by the T_PM_ group (B). The lowest values of intestinal parameters at the T_MIX_ group (D).
Table 8. Intestinal histomorphology of Nile Tilapia fed different experimental diets.ParameterT_FM_T_PM_T_IM_T_MIX_P valueVillous length (VL) μm530.11 ± 58.45463.44 ± 11.15574.27 ± 75.63351.97 ± 30.320.06Villous width (VW) μm89.74^a^ ± 6.9382.19^ab^ ± 4.7667.08^b^ ± 6.7364.25^b^ ± 1.980.03Absorption surface area (ASA) “mm^2^”0.054^a^ ± 0.0050.040^b^ ± 0.0010.045^ab^ ± 0.0030.024^c^ ± 0.0010.002Data are presented as mean ± SEM. * Pooled SEM = pooled standard error of the mean. Means in the same row with separate superscripts differ significantly at P < 0.05.T_FM_: Control basal diet with 20% fish meal. T_PM_: Test diet with the substitution of FM with poultry by-product meal (PM). T_IM_: Test diet with the substitution of FM with insect meal (IM). T_MIX_: Test diet with the substitution of FM with a mixture of PM and IM.
All experimental groups displayed normal liver structure, including lipid droplets in the cytoplasm of the hepatocytes and central hepatocyte nuclei. Also, normal exocrine pancreatic acini were observed. There were no indications of capillary hyperemia, vacuolar degeneration, vasodilatation, or hepatocyte ballooning in the different groups (Fig. 3A–D).Fig. 3. Photomicrograph of H&E-stained sections from the liver (Scale bar 20 μm) showing: normally arranged vacuolated hepatic cells (H), exocrine pancreatic acini (PA), and portal vein (PV) in all examined groups (T_FM_, T_PM_, T_IM_, and T_MIX_) (A–D).
All experimental groups showed normal architecture of renal parenchyma with well-defined renal glomeruli and tubules (Fig. 4A–D).Fig. 4. Photomicrograph of H&E-stained sections from Kidney (Scale bar 20 μm) showing: normal morphology of renal tubules (arrows), glomerular corpuscles (arrowheads), and other stromal structures in all examined groups (T_FM_, T_PM_, T_IM_, and T_MIX_) (A–D).
The histological analysis of the spleen showed a normal structure of white pulp around ellipsoidal arterioles in all examined groups. Moreover, areas of melanomacrophage centers (MMCs) beside normal red pulp were noticed (Fig. 5A–D). The size of white pulp lymphoid follicles increased in T_FM_, T_PM,_ and T_IM_ groups (Fig. 5A–C) in comparison with the T_MIX_ group (Fig. 5D). An Abundant area of MMCs within white pulp was observed in the T_MIX_ group (Fig. 5D).Fig. 5. Photomicrograph of H&E-stained sections from spleen (Scale bar 20 μm) showing: (A) normal histological structures of white pulps (WP) around ellipsoids arterioles (arrowheads) with areas of melanomacrophages centers beside normal red pulps (RP) in all examined groups (A–D). Increased size of white pulp lymphoid follicles at group T_FM_, T_IM_, and T_PM_ in comparison with group T_MIX_. Abundant area of melanomacropahges centers (MMCs) within white pulp areas at group T_MIX_ (D).
Liver NF-κB immunohistochemistry
Immunostaining for NF-κB marker revealed negative expression in all dietary experimental groups (Fig. 6I). The mean percentage area of NF-κB immunostaining intensity showed no significant changes among experimental groups (Fig. 6II).Fig. 6(I) Immunohistochemical detection of NF-κB expression in hepatic tissue of N. tilapia. photomicrographs showing predominantly negative NF-κB immunoreactivity (blue arrow) in hepatocytes and hepatopancreatic cells among all experimental groups: A (control, T_FM_), B (poultry meal, T_PM_), C (insect meal, T_IM_), and F (insect meal + poultry meal, T_MIX_). Rare, weakly positive cells showing non-specific staining (red arrows). scale bar = 100 μm. (II) The percentages of expression of NF-κB in the hepatic tissue of all experimental groups.
Discussion
The overall growth performance indicated that the insect meal group (T_IM_) achieved the greatest growth data and nutrient utilization, as did the fish meal group (T_FM_). These results were in harmony with Devic et al.^38^ and Nairuti et al.^39^, who demonstrated that incorporating various levels of BSFLM as an alternative to fishmeal did not negatively affect growth indices. Further, Tippayadara et al.^6^ showed that growth performance was unaffected by the addition of BSFLM up to 100% in N. tilapia diets. Muin et al.^40^ noted that Tilapia could ideally consume BSFLM at a maximum inclusion level of 50%. However, the specific growth rates (SGR) and feed conversion ratios (FCR) were not adversely impacted by replacing fish meal with BSFLM up to 100%. Wachira et al.^41^ found that Nile Tilapia fed a diet supplemented with up to 67% BSFLM did not show any compromise in growth quality measures.
The improved growth indices observed in the T_IM_ group, similar to those in the fish meal group, can be attributed to the inclusion of black soldier fly larvae in their diets. BSFLM is rich in lauric acid, chitin, and antimicrobial peptides, which may enhance fish welfare, reduce the prevalence of aquatic diseases, and increase resistance to bacterial and parasitic infections. Additionally, it has been reported that adding BSFLM to diets increases the biodiversity of intestinal bacterial composition, which is often associated with the host’s health in various fish species^42^. Furthermore, BSFLM is recognized as a valuable source of omega-3, omega-6, and omega-9 fatty acids^43,44^, a structure that could enhance the host’s growth performance. Lastly, dietary insect meal may increase the mucosal surface area in fish, potentially explaining the improvements in feed conversion ratio and feed utilization^45^.
In contrast, Dietz and Liebert^46^ reported that N. Tilapia experienced negative effects when soy protein concentrate was completely replaced with 100% partially defatted black soldier fly (BSF) meal. Fayed et al.^47^ found that the growth rate of N. tilapia decreased when their diet included 30% fish meal (FM) replacement with BSF larvae meal. These variations in growth performance may stem from differences in the composition of the insect meal and the experimental conditions used. In a related study, Guerreiro et al.^48^ also showed that switching from 17%, 35%, and 52% FM to BSFLM resulted in a decrease in the growth of meagre. These negative effects could be attributed to the presence of chitin, which may hinder growth performance and feed utilization in these species^49^. As an omnivorous species, Nile tilapia has a high capacity for consuming plankton and possesses certain advantages when it comes to breaking down chitin. The digestion of chitin relies on chitinolytic enzymes, which are vital to the digestive physiology of Nile tilapia^50^. Furthermore, incorporating chitin into their diet may help combat bacterial infections and enhance the diversity of the gut microbiota^51^.
Despite variations in final weight, feed intake per fish remains consistent across different treatments. This suggests that factors such as feed quality or composition may be more important for weight gain than the quantity of feed provided. This is in accordance Limbu et al.^52^, who noticed that N. tilapia fed diets supplemented with BSFLM up to 75% did not show any noticeable changes in feed intake. On the other hand, earlier research revealed that feeding N. tilapia up to 100% BSFLM reduced their feed intake^53^. This was correlated to the decreased palatability of the feed. These differences may arise from the methods used in insect meal preparation (full-fat or defatted meal), additional dietary components, and the duration of the experiment.
T_PM_ and T_MIX_ demonstrated improved growth parameters, showing no significant difference from T_IM_. Poultry by-product meal is a popular alternative to fish meal (FM) in aquaculture feed formulations due to its wide availability, high protein content, and excellent source of phospholipids and cholesterol^54^. Consequently, numerous studies have explored various fish and crustacean species fed diets containing different amounts of poultry by-product meal. However, the findings of these studies have varied considerably, as poultry meals can differ in digestibility, processing methods, nutrient composition, and proportions of their components (bone, meat, blood, etc.). Nevertheless, when high-quality poultry meal was used, many species were able to accept up to 100% substitution levels^55^.
Survival rate is a vital parameter in determining the production efficiency of Nile tilapia. Fish physiological activities have a chief role in their survival rates; thus, appropriate feeding schedules and accommodation of fish to their habitats are critical. T_FM_ had a perfect survival rate; also, the T_IM_ group and T_PM_ group showed normal survival rates. This suggests excellent conditions conducive to the health and growth of experimental diets. In the same trend, Devic et al.^38^ showed that tilapia fish consumed a diet including BSFLM at 80% had the highest survival rate (90%), while the group fed 30% BSFLM had the lowest survival rate (81%). Also, Tippayadara et al.^6^ declared that BSFLM up to 100% did not adversely impact the survival rate in tilapia fish. The survival rate of the fry was unaffected by substituting BSFLM diets at all levels for FM^41,52^, similar data were recorded in European sea bass (Dicentrarchus labrax)^56^. Moreover, Ushakova et al.^57^ found that the survival rate of Mozambique tilapia fed BSFLM pre-pupae at a rate of 0.5 g/kg feed did not differ significantly. T_MIX_ had the lowest survival rate but did not differ significantly from T_PM_. This drop in the survival rate of T_MIX_ may indicate some underlying issues, such as minor stressors. Most mortalities were noted a day after weekly weighing or sampling, which could be due to sustained stress.
In our study, the proximate composition of the whole body revealed significant differences among the experimental groups. Proximate analysis plays a crucial role in the food industry, particularly for food product development and quality control^58^. A rise in moisture content was directly linked to higher protein levels in animal body tissues, attributed to the superior water retention capacity of proteins^59^. Our results revealed that the moisture and crude protein content of T_IM_ did not significantly differ from the body composition of the T_FM_ group. The crude fat content was significantly elevated in all treatments compared to T_FM_. Ash content varies, suggesting alterations in mineral composition among groups.
The current findings on the effects of diet composition on meat and protein content were in line with other researchers. Muin et al.^40^ showed that BSFLM addition in the diet had a variable degree of influence on the crude fat content of the fish body, where increased crude fat levels were found in O. niloticus. The current findings support Mahmoud et al.^60^, who concluded that body lipid was increased with higher FM substitution with PM in N. tilapia diets. It can be due to the high fat content of the poultry byproducts, viscera, and skin^61^.
In contrast, other studies observed that the diet composition had no significant effect on protein and fat content in fish flesh^62,63^. Also, Devic et al.^38^ revealed comparable outcomes when examining the proximate composition of N. tilapia fed different amounts of BSFLM.
It was stated that when 100% poultry by-product meal was added, the tilapia carcass proximate composition showed no change in moisture, lipid, protein, or ash content^64^. The alterations may be due to the varied quality of PM, which was significantly influenced by their processing methods.
The total phenolic content in the fish muscle mirrored the trends observed in the diets. It increased significantly among treatments (T_PM_ → T_MIX_&T_FM_ → T_IM_). Besides, the muscle antioxidant activity recorded the highest values in T_FM_ and T_IM_. BSFLM had a higher level of phenolic compounds and antioxidant activity, which are influenced by their rearing substrate and processing methods. Their antioxidant properties derive from phenolics, peptides, chitin, and tocopherols in larvae^44^. Additionally, feeding BSFLM with polyphenol-rich agricultural by-products can significantly enhance their bioactive profile, making BSFLM a promising functional feed ingredient for improving oxidative stability^65^. From a practical perspective, the increase in phenolic content in fish muscle has important implications for product quality and shelf life. Enhanced antioxidant levels in fish tissue can reduce lipid oxidation, improve sensory attributes, and potentially offer added nutritional benefits to consumers. Furthermore, these findings support the strategic inclusion of phenolic-rich ingredients in aquafeeds as a functional approach to improving fish health and resilience. It was also reported that T_IM_ had the lowest MDA levels in fish muscle, a marker of lipid peroxidation, suggesting superior oxidative stability and potential anti-inflammatory effects of the insect-based meal.
Our findings indicated that T_FM_ and T_IM_ significantly enhanced live body weight and dressing weights in N. tilapia. This suggested that both meals provided excellent nutrition, supporting growth and carcass yield. The increased body weight was likely due to the high-quality protein and favorable amino acid profiles in fish meal and BSFLM diets, which meet the needs of rapidly growing fish^66^. Moreover, the significantly heavier liver weights observed in fish fed fishmeal and BSFLM could indicate higher metabolic activity or nutrient storage capacities. In fish, liver size can reflect both growth rate and metabolic processing of nutrients^67^, suggesting that T_FM_ and T_IM_ diets promoted not only somatic growth but also internal organ development with better feed utilization efficiency. These results are consistent with previous studies that have reported the effectiveness of black soldier fly larvae^27,52^. The visceral index was used as an indicator of gut health since the viscera impact digestion, secretion of enzymes, and nutrient absorption. They are frequently used to evaluate the biological states and nutritional attributes of fish^18^. Our study showed that T_IM_ does not affect visceral index and gut health in Nile tilapia. This agreed with research by Tippayadara et al.^6^, who mentioned that the level of BSFLM up to 100% in Tilapia diets did not have harmful effects on somatic indexes. Also, Renna et al.^68^ proved the same findings in yellow catfish.
Hematological indices of fish were considered important components for estimating the overall health condition and biological stress responses of fish fed formulated diets^69^. Our study verified that N. tilapia fed on insect meal and poultry by-product meal or a mixture of both did not have an abnormal effect on hematological parameters, and the values were considered within the normal range for healthy fish^69^. This result was in agreement with studies, which reported that substitution of fish meal with insect meal had no adverse effect on hematological values in European sea bass, hybrid tilapia, and N. tilapia fish^56,70,71^. Also, it was observed that poultry by-product meal did not change hematology data in gilthead seabream^72^. Conversely, another study implied that there was an increase in the hemoglobin level of Mozambique tilapia that received a diet supplemented with black soldier fly pre-pupae^57^. The differences among these results may have been related to protein source quality and processing, fish species and size, experimental period, and culture systems.
Biochemical parameters were used to inspect the effects of feed additives, detect stress, and assess the possible negative impact of immunostimulants on the immune system of the fish^73^. The liver markers did not display significant variation among treatments. All detected values remained in the normal range for liver enzymes (28.3–121 U/L)^74^. This consistency among groups indicated that these alternatives did not affect overall liver integrity and protein metabolism and offered hepatoprotective effects similar to those of fishmeal. In terms of kidney function, all creatinine levels showed consistent values with the reference limits (0–0.8 mg/dL)^75^. In addition, urea levels did not significantly differ among groups, indicating a stable nitrogen metabolism and excretion rate. Plasma urea content in aquatic animals is the second most important nitrogen excretion product after ammonia, whose changes were used to evaluate the digestion of amino acids, proteins, and kidney function^76^. The lipid profile results demonstrated that T_MIX_ had significantly higher cholesterol levels compared to T_PM_, and a numerical increase compared to T_FM_ and T_IM_. The elevation in cholesterol under T_MIX_ treatment may reflect alterations in lipid metabolism or absorption; however, since no significant alterations were detected in triglycerides, HDL, LDL, and VLDL levels, the overall lipid metabolic status appeared to remain stable among groups. Overall, most liver, kidney, and lipid parameters remained unaffected by the dietary treatments. These findings suggest that the tested diets are generally safe for tilapia health.
Our findings came in harmony with Oliveira et al.^77^ who found that blood parameters in N. Tilapia (creatinine, total serum protein, HDL, LDL, AST, and ALT) showed no differences between treatments containing 0, 33, 66, and 100% BSFM as a substitute for FM. Also, FM with BSFM replacement up to 140 g/kg BSFM has no effects on total protein, albumin, globulin, AST, and ALT in carp^78^. Dietary BSFM does not affect plasma metabolites, such as total protein, albumin, globulin, and total lipids in snakehead juveniles^62^.
In contrast, total cholesterol and circulating triglycerides were lower in the animals fed 100% of BSFLM in their diet. Also, for Jian carp, with a drop in cholesterol levels when fed diets containing 2.6–10.6% BSFM (lowering FM from 7.5 to 0%)^79^. Fish fed 100% BSFLM replacing FM had lower albumin values. High values for albumins could be associated with an impaired immune system in tilapia or protein synthesis in tilapia liver tissues^80^. Besides, Abdullahi et al.^81^ showed that serum albumin and plasma urea levels in the diet containing 50% and 100% PM were augmented compared to the FM group. They reported that the triglyceride levels significantly reduced compared to those in the control group. Lin and Luo^82^ revealed that the amount of liver enzymes of AST, ALP, and ALT increased significantly with the replacement of 100% PBM with fishmeal. These differences in biochemical parameters can vary depending on various issues such as season and environmental circumstances, and stressors, even within the same species^77^.
The microbial quality of fish fillets can be directly impacted by feed if it is microbiologically deficient, and indirectly by inadequate breeding conditions and management, which can alter water parameters^83^. It was observed that the APC counts decreased in T_PM_ and T_IM_, due to their synergistic influence. Furthermore, all detectable values in the different groups were below the maximum allowable limit of 7 log cfu/g, as specified by the International Commission on Microbiological Specifications for Foods^84^ for fresh fish. Therefore, these values in all diets did not pose a significant risk to public health. The findings indicate that including insect meal in diets did not have a significant impact on the microbiological profile of the fish. Stenberg et al.^85^ noted that insect meals contain high levels of antibacterial agents and bioactive components that enhance the overall health of fish. Also, chitin and antimicrobial peptides present in larvae can be utilized to create new antimicrobial products, possibly decreasing the need for antimicrobial medications in aquaculture^86^. The existence of coliform bacteria in fish indicated environmental contamination, as coliforms were not part of the normal bacterial flora in fish. The standard limits of total coliforms and fecal coliforms for fresh water were 100 MPN/g^87^. Our findings revealed that the T_IM_ sample was within the acceptable limits due to the antimicrobial activity of insect diets. Rimoldi et al.^88^ mentioned that high-fat content and carbohydrates in insect diets could modify microbial populations. Notably, all samples tested negative for Escherichia coli, yeast, and mold, indicating effective inhibition of pathogenic and spoilage organisms among groups. This suggests that the tested fish groups were microbiologically safe for human consumption.
Within our results, the T_IM_ group had the lowest liver TNF-α and the highest IL-10 levels compared to other groups. It suggested that Tilapia fish fed BSFLM were in a healthy state without being exposed to toxic environments or being infected by pathogens. These findings highlighted the crucial role of cytokines in regulating the inflammatory process, which is vital for modulating immune response in both health and disease. TNF-α, recognized as the initial proinflammatory cytokine released in response to pathogens, amplifies the acute phase of the immune response by promoting vascular permeability and drawing in inflammatory cells. IL-10, an anti-inflammatory cytokine, moderates inflammation by suppressing macrophage activation and the production of anti-inflammatory cytokines such as IL-1β^89^. The balance between pro-inflammatory and anti-inflammatory cytokines is crucial for an effective immune response against pathogens while protecting healthy tissues from damage^90^. Zhang et al.^42^ indicated that the cytokines (IL-10, IL-1β, TNF-α, and IL-8) were upregulated significantly (P < 0.05) in rainbow trout fish that received a diet containing BSFLM meal with increasing fishmeal substitution levels of 25, 50, 75, and 100%. These results may be attributed to insect-based diets that primarily contain chitin, a molecule that has a valuable modulatory impact on the innate immunity of various fish species. For instance, the inclusion of chitin in diets based on black soldier fly larvae might stimulate the innate immune response and enhance resistance to bacterial infections^42^. A prolonged subclinical inflammatory response in fish resulted in consistently reduced performance and lower feed intake, as energy was diverted towards cellular defense mechanisms instead of being utilized for production. Our results indicated that T_IM_ achieved the highest level of IL-10. Consequently, the energy and nutrients that would typically be used for inflammatory reactions could instead be allocated for productive purposes.
Optimal diets for aquaculture fish require various analytical methods to assess their health effects. Histomorphology studies serve as reliable biomarkers for assessing fish health status^91^. The relationship between nutritional absorption and assimilation is linked to immune function and the structural characteristics of the intestine, especially the diameter and arrangement of the microvilli^92^. The health of the intestinal lining cells is essential for nutrient absorption and overall fish well-being. Gut damage can result in decreased disease resistance, immune problems, loss of appetite, and stunted growth^93^. Histological analyses showed that BSFLM and PM were well accepted by N. tilapia. Similarly, replacing fishmeal with insect and PM meals could improve gut histomorphology in European Seabass^93,94^.
The liver is a vital indicator of health due to its roles in energy storage, metabolism, detoxification, and immune protection^94,95^. The histological findings indicated positive liver health in all fish fed various experimental diets, consistent with prior research showing that replacing fishmeal with insect meal and PM did not affect the liver histomorphology of European Seabass^94^. Additionally, recent research has found that incorporating BSFLM and PM into diets devoid of FM led to enhanced gut and liver health in both gilthead seabream and rainbow trout^96–98^. Also, the liver of tilapia fish remained unchanged when the protein from fishmeal was entirely substituted with the protein from poultry meal^60^. In our study, the histological examination of the kidney in different experimental dietary groups revealed no signs of acute or chronic inflammation in the kidney. These obtained result agreed with those reported by another study, which showed that there was no difference in the photomicrographs of rainbow trout^68^ fish fed insect meal-based diets. Investigators observed that the inclusion of the incorporation of Musca domestica larvae meal into the diets of tilapia did not induce any metabolic stress, as it seems to be devoid of any compounds that could generate reactive oxygen species, leading to oxidative stress^99^. The spleen histological structure showed no significant changes among groups. The same result was observed by Elia et al.^100^ who stated that the architecture of liver, spleen, and gut histological characteristics were not significantly changed by substituting 20% and 40% of BSFLM meal with 25% and 50% of FM, indicating no detrimental effects on the digestive ability of rainbow trout.
The immunostaining results for NF-κB revealed negative expression among groups, with no significant differences in staining intensity, indicating that none of the diets induced an inflammatory response. NF-κB has a central role in immune and inflammatory signaling regulation, and its activation is often associated with tissue stress or immune challenge^101^. Also, NF-κB is a key upstream transcription factor that regulates a broad range of immune-related genes, including both pro-inflammatory (e.g., IL-1β, IL-6, TNF-α, IL-8) and anti-inflammatory (e.g., IL-10) cytokines. NF-κB serves as a central regulator of the immune response. Its activation reflects a broader, system-level immune activation, making it a more comprehensive and integrative marker in evaluating inflammatory responses in fish^102^.
Therefore, the absence of detectable NF-κB activation suggests that the experimental diets, including BSFLM and PM or both, were well-tolerated and did not provoke pro-inflammatory signaling in the target tissues. This supports the immunological safety of these alternatives as replacements for traditional fishmeal in formulated diets. Such findings were aligned with previous studies reporting that BSFLM and PM do not adversely affect immune parameters when included at appropriate levels and may even support mucosal integrity and immune homeostasis^103,104^.
Conclusion
Black soldier fly larvae meal (T_IM_) has shown general potential in improving growth parameters, carcass traits, tissue quality, and immune response in Nile tilapia. This alternative not only offers comparable nutritional benefits to fishmeal but also provides functional advantages, particularly in terms of antioxidant protection, lipid stability, and product safety. These qualities support the use of BSFLM in cost-effective and sustainable aqua feed formulations. Further research focus on the long-term performance of Nile Tilapia in commercial farming conditions using BSFLM is highly recommended.
Supplementary Information
Below is the link to the electronic supplementary material.
Supplementary Material 1
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2Teye-Gaga, C. Evaluation of Larval Meal Diet of Black Soldier Fly (Hermetia illucens: L. 175) On Fingerlings Culture of Nile Tilapia (Oreochromis Niloticus: L.) (2017).
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