Protein Percentage Research Articles

Periprosthetic Joint Infection in Patients With Inflammatory Arthritis: Optimal Tests to Differentiate From Flares.

Diagnosis of periprosthetic joint infection (PJI) in patients with inflammatory arthritis (IA) is challenging, as features of IA flares can mimic infection. We aimed to cross-sectionally determine if the optimal tests to diagnose PJI in osteoarthritis were present in patients with IA flares. We enrolled patients from October 2020 to July 2022 in 3 groups: (a) PJI-total joint arthroplasty patients undergoing revision for infection, (b) IA Flare-IA patients with a flaring native joint, and (c) IA Aseptic-total joint arthroplasty patients with IA undergoing aseptic arthroplasty revision. We compared blood and synovial fluid markers between the cohorts using Kruskal-Wallis and Fisher exact tests to assess marker sensitivity and specificity. Of 52 cases overall, 40% had rheumatoid arthritis, 20% psoriatic arthritis, and 11% osteoarthritis (in PJI group). PJI cases had higher C-reactive protein (CRP) and synovial fluid polymorphonuclear neutrophil percentage (%PMN). Alpha-defensin tested positive in 93% of PJI cases, 20% of IA Flares, and 6% of IA Aseptic (p < 0.01). Synovial white blood cell count >3000/μL and positive alpha-defensin were highly sensitive (100%) in diagnosing infection; however, specificity was 50% for white blood cell counts and 79% for alpha-defensin. PJI diagnosis was nearly 5 times more likely with positive alpha-defensin and almost 6 times more likely with %PMNs >80. Blood markers interleukin-6, procalcitonin, and d-dimer were neither sensitive nor specific, whereas erythrocyte sedimentation rate and CRP showed 80% sensitivity, but 47% and 58% respective specificities. Although synovial %PMNs, CRP, and alpha-defensin are sensitive tests for diagnosing PJI, they are less specific and may be positive in IA flares.

Advantageous effects of rumen-protected phytonutrients from tropical plant extracts on rumen fermentation efficiency and methane mitigation using in vitro fermentation technique.

Tropical plants are composed of phytonutrients (PTNs) and are utilized for their capacity to manipulate rumen fermentation characteristics and methane production. The aim of this experiment was to determine the impact of microencapsulated phytonutrients-extracted from lemongrass and mangosteen peel (M-LEMANGOS), as well as crude protein levels on nutrient degradability, rumen ecology, microbial population, and methane emission in an in vitro study. The treatments were randomly assigned in a 2 × 4 Factorial arrangement in a Completely randomized design. The two factors consisted of crude protein (CP) percentage in the concentrate diet (16% and 18% CP) and the levels of M-LEMANGOS addition (0%, 2%, 4%, and 6% of the total substrate). The results showed that nutrient degradability both 12 and 24 h were significantly increased with M-LEMANGOS at 4% total substate. In part of volatile fatty acids (VFAs), particularly propionate and total VFA, these were enhanced by %CP and M-LEMANGOS combination. The %CP increased ruminal ammonia-nitrogen concentration (NH3-N), while M-LEMANGOS supplementation reduced such concentration. Methane production and Methanobacteriales population at 12 and 24 h were reduced when supplemented with M-LEMANGOS at 4% total substate. The population of Fibrobacter succinogenes, Ruminococcus flavefaciens, and Megasphaera elsdenii were increased with the interaction between %CP and M-LEMANGOS addition. M-LEMANGOS indicates promising potential as a plant-based PTN for dietary modulation of rumen fermentation and mitigation of methane production.

Milk traits characterization and association studies with DGAT1 polymorphisms in Bagnolese sheep.

The Bagnolese sheep is an authochtonous dual-purpose breed (milk and meat) reared in the Campania region, whose milk is used to produce Pecorino Bagnolese cheese. Genetic information on this sheep is extremely limited, especially regarding genes affecting productions. The aim of this study was to investigate milk production traits in Bagnolese sheep and the variability of diacylglycerol acyltransferase 1 (DGAT1) gene and its effects on milk production. Milk quantity was recorded during the morning milking, while Kjeldahl and Gerber methods were used to assess protein and fat percentage (w/v) of collected milk samples. Two PCR-RFLP protocols using BamHI and MspI endonucleases for genotyping of g.5553C>T and g.8539C>T at DGAT1 locus, respectively, were set up. Bagnolese sheep milk shows high fat and protein concentrations. Genotyping revealed a high frequency of the g.5553C and g.8539C alleles (0.56 and 0.95, respectively). The association study between the SNP g.5553C>T and milk traits showed that animals with the CT genotype had a higher percentage of fat produced per milking than those with the CC and TT genotypes (p<0.01). Similar results were found for protein yield percentage, with CT individuals being more productive than CC individuals (p<0.01). Bagnolese sheep milk parameters found are associated with high yields in the resulting dairy products. CT genotype at the SNP g.5553 of DGAT1 has shown a positive association with fat and protein milk yield percentage suggesting it could be considered a marker to improve productions of this breed. Finally, the new genotyping techniques used for this study enable a cheap and reliable characterization of two DGAT1 SNPs in sheep.

Epidemiological and pathological characterization of acute respiratory infections.

This research comprehensively investigates the epidemiological features and pathogen profile of acute respiratory infections (ARI) in Shihezi City, Xinjiang. A pivotal aspect of this study is the construction of a Bayes discriminant function for principal pathogen infections. This innovative methodology aims to furnish a robust scientific basis for the prevention and clinical management of ARI, potentially guiding more effective strategies in both public health and clinical settings. We compiled and examined data from January 2020 to June 2023, pertaining to patients admitted with acute respiratory infections at the First Affiliated Hospital of Shihezi University. This investigation focused on discerning patterns in epidemiology and pathogen etiology. Among 2110 cases of acute respiratory infections (ARI), 1736 underwent pathogenetic testing. Of these, 595 cases tested positive for at least one pathogen, marking a positivity rate of 34.27%. Viral detections, at a rate of 27.47%, were notably higher than bacterial detections, which stood at 6.51%. The most prevalent viruses identified were Human respiratory syncytial virus (hRSV), Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), and Human adenovirus (HAdV), while the dominant bacterial pathogens included Klebsiella pneumoniae, Haemophilus influenzae, and Staphylococcus aureus. Co-infections were observed in 76 cases, accounting for 12.77% of positive diagnoses, predominantly involving hRSV in conjunction with other pathogens. In cases of acute bronchiolitis, hRSV was the most frequent pathogen, contributing to 23.10% of such cases. Similarly, in severe pneumonia cases, SARS-CoV-2 was predominant, accounting for 25.4% of these infections. The group with bacterial positivity exhibited elevated levels of C-reactive protein (CRP, 19.17 mg/L) and neutrophilic granulocyte percentage (NE%, 54.7%). The Bayes discriminant function demonstrated an initial validation accuracy of 74.9% and a cross-validation accuracy of 63.7%. The study underscores that hRSV, SARS-CoV-2, and HAdV are the primary pathogens in acute respiratory infections in the Shihezi region. Pathogen susceptibility exhibits variation across different age groups, with a higher pathogen detection rate in children compared to adults. The Bayes discriminant function shows significant promise in the classification and diagnosis of major pathogenic infections.

Studies of Protein Phase Separation Using Leishmania Kinetoplastid Membrane Protein-11.

Despite the significant understanding of phase separation in proteins with intrinsically disordered regions, a considerable percentage of proteins without such regions also undergo phase separation, presenting an intriguing area for ongoing research across all kingdoms of life. Using a combination of spectroscopic and microscopic techniques, we report here for the first time that a low temperature and low pH can trigger the liquid-liquid phase separation (LLPS) of a parasitic protein, kinetoplastid membrane protein-11 (KMP-11). Electrostatic and hydrophobic forces are found to be essential for the formation and stability of phase-separated protein assemblies. We show further that the increase in the ionic strength beyond a threshold decreases the interchain electrostatic interactions acting between the alternate charged blocks, altering the propensity for phase separation. More interestingly, the addition of cholesterol inhibits LLPS by engaging the cholesterol recognition amino acid consensus (CRAC)-like domains present in the protein. This was further confirmed using a CRAC-deleted mutant with perturbed cholesterol binding, which did not undergo LLPS.

Microbiomes-Plant Interactions and K-Humate Application for Salinity Stress Mitigation and Yield Enhancement in Wheat and Faba Bean in Egypt’s Northeastern Delta

Salinity, resulting from climate change and excessive mineral fertilization, burdens farmers and negatively impacts soil and water ecosystems in the Northeastern Nile Delta. Organic and biological approaches are crucial for addressing these issues. This study examined the effects of individual and combined inoculations with cyanobacteria, yeast, and Arbuscular Mycorrhizal Fungi (AMF), with or without K-Humate and reducing Nitrogen, phosphorus and potassium (NPK) mineral fertilizers application rates to crop quality of wheat and faba bean. In preliminary laboratory experiments, the interactive effects of these microbiomes on plant antioxidant and soil enzyme production were examined under salinity stress. Results showed that co-inoculation, especially with K-Humate, yielded superior outcomes compared to individual inoculations. These findings were validated by a field trial conducted in saline-alkaline soil in the Northeastern Nile Delta region. All biological treatments 25% of recommended doses, and enhancing salinity tolerance, increasing yield, and improving enhanced rhizosphere microbial activity, including soil enzyme activity, AMF colonization, spore density, and the total numbers of bacteria, cyanobacteria, and yeast. These effects were further amplified by K-Humate and were more pronounced with combined inoculations than with individual ones, leading to improved soil fertility and significant increases in both crop quantity and quality compared to control treatments. The triple treatment, combining cyanobacteria, yeast, and mycorrhizae in the presence of K-Humate while reducing the mineral NPK rate by 75%, achieved superior increases in the productivity of wheat grains and faba bean seeds, reaching 54.72% and 128.92%, respectively, compared to the 100% NPK mineral control. This treatment also significantly improved crop quality, with notable increases in nitrogen, potassium, phosphorus, and protein percentages in wheat grains and faba bean seeds. Microbiomes-interaction increased potassium uptake over sodium, enhancing the plant’s potassium/sodium ratio and improving salt stress tolerance. This approach reduces reliance on costly mineral fertilizers, enabling bio-organic farming in marginal lands, optimizing resource utilization, and preserving natural resources.

Phytochemical profiling from Dioscorea bulbifera L. bulbils using LC-MS, proximate analysis and antidiabetic activity: in vitro and in silico approaches

ABSTRACT The nutritional value and medicinal properties of highly edible Bulbils of Dioscorea bulbifera L are still unexplored. This study reported the nutritional and medicinal values by In vitro, and In silico studies along with chemical profiling using LC-MS. The proximate analysis was conducted by the AOAC method. The antioxidant and antidiabetic activities were assessed using DPPH and α- α-glucosidase enzyme inhibition assay. Molecular docking was used to do an In silico examination of the identified molecules, and ADMET analysis of the hit candidate was also performed. The result showed that bulbils of D. bulbifera were found to have a higher percentage of protein (8.83%), fat (0.96%), and fiber (5.40%). It exhibited significant levels of phenolic and flavonoid content 106.93 ± 0.02 mg GAE/g and 11.51 ± 0.02 mg QE/g, respectively. The ethyl acetate fraction of D. bulbifera showed potent antioxidants with an IC 50 = 13.75 ± 0.6 μg/mL. Furthermore, the methanol extract showed more than 50 % inhibition activity with IC 50 values of 26.29 ± 0.6 μg/mL and 191.2 ± 0.7 μg/mL against α-glucosidase and α-amylase, respectively. The ethyl acetate fraction showed higher α-glucosidase and α-amylase inhibitory activity with an IC 50 of 14.42 ± 0.4 μg/mL and 171.5 ± 0.4 μg/mL, respectively, compared to the standard acarbose (p < 0.05). Chemical profiling of most bio-active ethyl acetate fraction was done using LC-MS analysis, where eleven compounds were annotated. In conclusion, bulbils of D. bulbifera demonstrate promising anti-diabetic activity through In vitro and In silico studies.

Effects of Oregano on Lactation Performance, Nutrient Digestibility, Ruminal Fermentation Parameters, and Methane Emissions in Dairy Cows: A Meta-Analysis

Growing concerns regarding antibiotic use in livestock, due to antibiotic resistance and potential human transmission, have led to increased interest in herbs and their derivatives, including essential oils, which possess antimicrobial properties that may enhance overall productivity and serve as a strategy for methane mitigation. The objective of this meta-analysis was to investigate the effects of adding oregano to the diet in different forms (essential oils, plant materials, or leaves) on the dry matter intake (DMI), milk yield (MY), milk components, nutrient digestibility, ruminal fermentation parameters, and methane (CH4) emissions of dairy cows. A literature search was conducted to identify papers published from 2000 to 2023. Effect size for all outcomes was reported as a standardized means difference (SMD) and raw means difference with 95% confidence intervals. Heterogeneity was determined using the Q test and I2 statistic. The results of the meta-analysis indicated that adding oregano had no effect on DMI (SMD = 0.081; p = 0.507) and MY (SMD = 0.060; p = 0.665). Milk fat percentage, milk protein percentage, and milk lactose percentage were not affected by oregano. The addition of oregano to the diet significantly decreased dry matter digestibility (SMD = −0.502; p = 0.013), crude protein digestibility (SMD = −0.374; p = 0.040), and neutral detergent fiber digestibility (SMD = −0.505; p = 0.014). Ruminal pH (SMD = −0.122; p = 0.411), total volatile fatty acids concentration (SMD = −0.038; p = 0.798), acetate (SMD = −0.046; p = 0.757), propionate (SMD = 0.007; p = 0.960), and butyrate (SMD = 0.037; p = 0.801) proportion were not affected by oregano. The addition of oregano to the diet tended to decrease CH4/DMI (SMD = −0.275; p = 0.095) but did not affect CH4 production (SMD = −0.156; p = 0.282). Heterogeneity (Q and I2) was non-significant for all parameters. We conclude that the inclusion of oregano in various forms (essential oils, plant materials, or leaves) in the diet of dairy cows reduces nutrient digestibility but does not significantly affect DMI, MY, milk components, ruminal fermentation parameters, or CH4 production. Future research should focus on optimizing the dosage of oregano (both EOs and plant materials) and exploring the impact of its form on lactation, nutrient digestibility, ruminal fermentation, and CH4 emissions in dairy cows.

Effect of Gestational Direct-Fed Microbials Supplementation on the Metabolic Profile in Periparturient Dairy Cows.

This study was conducted at a commercial dairy farm in Queensland, Australia to evaluate the effects of feeding a lactic acid bacteria-based direct-fed microbial (DFM) during gestation on the metabolic profile of periparturient dairy cows and its effects on milk production and body weight. A total of 150 multiparous Holstein cows were randomly selected based on parity (2.3) and days in milk (130 DIM) and divided into two groups of 75 cows each (control and DFM). The control cows were assigned to a basal diet consisting of a silage-based partial mixed ration (PMR), concentrate fed in the dairy twice a day, and ad libitum pasture. The DFM group received the same basal diet supplemented with three strains of Lactobacillus top-dressed in the feed. The DFM supplementation continued during both the dry period and the subsequent lactation. A subset of 82 cows (40 control and 42 DFM) were monitored during the calving season (March to July 2022) to assess the metabolic profile and postpartum performance. Blood samples were collected during the periparturient period (-4 to -2 w prepartum, around calving, and at weeks 1, 3, and 6 postpartum) to measure the levels of metabolites, enzymes, and minerals. Overall, the serum glucose, NEFA, and chloride levels were higher, while protein and urea were lower in cows supplemented with the DFM (p < 0.005). The pre-calving levels of glucose were higher and the total bilirubin, urea, and BHB were lower in cows supplemented with DFM than in the control (p < 0.05). The post-calving levels of glucose and Mg were also higher in the DFM cows than in the control cows (p < 0.05). Average milk production at 110 DIM was significantly higher in the DFM cows compared to control cows (p = 0.03). Although the total milk production over 305 days was numerically greater in the DFM cows, the difference was not statistically significant (p = 0.3), whereas the milk protein percentage was higher in the control cows (p = 0.03). The body weight of the DFM cows was greater during the periparturient period (p = 0.001) than that of the control cows. In the DFM cows, glucose levels had a positive correlation (r = 0.16) with milk yield, at 110 DIM, while serum total protein had a positive correlation with body weight (r = 0.32) (p < 0.05). In conclusion, feeding Lactobacillus-based DFM during gestation can positively influence the metabolic profile of periparturient cows, which, in turn, may affect the milk production and body weight of postpartum dairy cows.

Edoxaban pharmacokinetics during in vitro continuous renal replacement therapy

BackgroundTo evaluate the clearance of edoxaban during modeled in vitro continuous renal replacement therapy (CRRT), assess protein binding and circuit adsorption, and provide initial dosing recommendations.MethodsEdoxaban was added to the CRRT circuit and serial pre-filter bovine blood samples were collected along with post-filter blood and effluent samples. All experiments were performed in duplicate using continuous veno-venous hemofiltration (CVVH) and hemodialysis (CVVHD) modes, with varying filter types, flow rates, and point of CVVH replacement fluid dilution. Concentrations of edoxaban and urea were quantified via liquid chromatography-tandem mass spectrometry. Plasma pharmacokinetic parameters for edoxaban were estimated via noncompartmental analysis. Two and three-way analysis of variance (ANOVA) models were built to assess the effects of mode, filter type, flow rate, and point of dilution on CLCRRT. Linear regression was utilized to provide dosing estimations across CRRT effluent flow rates from 0.5 to 5 L/h. Optimal edoxaban doses were suggested using CLCRRT and population non-renal clearance (CLNR) to estimate total clearance and match the systemic AUC associated with efficacy in the treatment of venous thromboembolism.ResultsEdoxaban clearance from the CRRT circuit occurred primarily via hemofilter adsorption to the HF1400 and M150 filters at 74% and 65%, respectively, while mean percent protein binding was 41%. Multivariate analyses confirmed the lack of influence of CRRT mode, filter type, and point of dilution on the CLCRRT of edoxaban allowing dosing recommendations to be made based on effluent flow rate. Edoxaban doses of 30-45 mg once daily were estimated to achieve target the AUC threshold for flow rates from 0.5 to 5 L/h.ConclusionFor CRRT flow rates most employed in clinical practice, an edoxaban dose of 45 mg once daily is predicted to achieve target systemic exposure thresholds for venous thromboembolism treatment. The safety and efficacy of this proposed dosing warrants further investigation in clinical studies.

Valorization of Pineapple Core Waste for Sequential Extraction of Phenolic Compounds and Carotenoids: Optimization Through Ultrasound-Assisted Method and Box–Behnken Design

AbstractIn this study, a pioneering cascade method involving ultrasound-assisted extraction (UAE) and Box–Behnken Design (BBD) was optimized to valorize pineapple core waste by the sequential extraction of, firstly phenolic compounds and, secondly, carotenoids. The effectiveness of the extraction was evaluated based on total polyphenol content (TPC) and antioxidant activity using 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABTS) and ferric reducing antioxidant power (FRAP) assays. Characterization of the carotenoids was performed using high-performance liquid chromatography with a diode array detector (HPLC–DAD). The initial characterization of dry pineapple core (DPC) samples revealed their nutritional composition, including protein, lipid, and carbohydrate weight percentages of 1.20 ± 0.05%, 5.3 ± 0.4%, and 88.6 ± 0.5%, respectively. The high extractives content (40.0 ± 4.5%) suggests a substantial presence of phenolic compounds, making the pineapple core a valuable source of natural antioxidants. The optimal UAE conditions for phenolic compound extraction were 70% amplitude, 5 min extraction time, and 2 cycles, yielding an antioxidant extract rich in phenolic compounds with a desirability value of 81.2%. Therefore, DPC was considered a valuable source of natural antioxidants. The extraction of β-carotene also showed promising results with optimal UAE conditions of 20% amplitude, 3 min extraction time, and 2 cycles. This research promotes the sustainable use of pineapple waste and demonstrates the potential to obtain valuable additives for the food, pharmaceutical, and cosmetic industries, encouraging a more circular and efficient use of resources in the pineapple processing industry.

Effect of soy flour and flour improvers on nutritional value, texture, colour and sensory characteristics of wafer biscuits

Biscuits are a popular and desirable snack food by consumers. Still, the quality of these products decreases during the storage process, so this study focuses on improving the wafer's quality and nutritional value and reducing their fragility by partially replacing wheat flour with soybean flour in the following proportions: 5% (T1), 10% (T2), 15% (T3), 20% (T4), and adding ammonium carbonate in different quantities. The sensory evaluation showed that the best wafer treatment was supported with 15% soy flour and 150 g of ammonium carbonate. At the same time, the mean for sensory evaluation is 8.80. Also, the results of the chemical analysis (protein, moisture, fat, carbohydrate, ash, fibre) texture and colour after direct manufacturing and after three months of storage. The result showed a significant increase in the percentage of protein and fat from 6.56±0.30 to 12.19 ± 0.35, 11.56±0.10 to 19.64±0.55, respectively the moisture content was higher in the control was 3.88±0.02 for wafer sample 2.47±0.13, while fibre was 1.93±0.15. The carbohydrates in the control sample were higher than in other treatments. Texture and colour were improved compared with the control. Commercial-batter biscuits with high nutritional value content and high-quality properties can be prepared by replacing wheat flour with 15% soy flour and adding 150 g of ammonium carbonate.

A comprehensive analysis of the effects of DGAT1 K232A polymorphism on milk production and fertility traits in Holstein Friesian and Jersey cows reared in Türkiye

Abstract. Research on the diacylglycerol acyltransferase 1 (DGAT1) K232A marker in cattle shows inconsistent results across regions, largely due to small sample sizes, limited genetic variation, and data restricted to few lactations, which complicates establishing a reliable genotype–phenotype correlation. This research aimed to determine the effect of the K232A polymorphism of the bovine DGAT1 gene on milk production and quality traits in dairy cattle. We used 1104 cattle, including 828 Holstein Friesian and 276 Jersey cows. The analysis utilized extensive data from six lactations of cows raised on four commercial dairy farms. We genotyped the population using the polymerase chain reaction–restriction fragment length polymorphism (PCR-RFLP) technique and Sanger sequencing for verification. We then evaluated the 305 d and test-day milk yields as well as fat and protein yields and percentages. The number of inseminations per conception and calving ease were also assessed as reproduction indices. Genotype–phenotype associations were quantified using linear mixed models. The AA genotype was absent in Jersey cows, and the heterozygous genotype was predominant in both breeds. The K232A marker was significantly associated with test-day milk yield, fat, and protein content in Jersey cows. Further, it substantially affected the fat percentage of milk in Holstein Friesian cows (p&lt;0.001). We found that the KK genotype is highly desirable for milk quality and especially fat content. This comprehensive assessment demonstrated that the KK genotype of the DGAT1 K232A polymorphism significantly influenced fat and protein contents in dairy cattle.

A Prospective Comparative Study on the Clinical Diagnostic Performance of Blood Inflammatory Markers in Acute Appendicitis.

Despite the substantial advancements in imaging techniques for the diagnosis and differential diagnosis of acute appendicitis (AA) over recent decades, the specificity and sensitivity of widely utilized laboratory biomarkers in clinical practice remain inadequate.This study aimed to investigate the diagnostic utility of commonly employed blood inflammatory markers for AA. A total of 399 participants who either sought medical care or underwent health examinations were enrolled in this prospective study. The cohort comprised 200 patients diagnosed with AA (AA group), 100 patients presenting with abdominal pain but without AA (AP group), and 99healthy individuals undergoing routine health check-ups (HC group). For all subjects, the following biomarkers were measured: plasma neutrophil gelatinase-associated lipocalin (NGAL), white blood cell count (WBC), neutrophil count (NEU), percentage of neutrophils (NEU%), neutrophil-to-lymphocyte ratio (NLR), and C-reactive protein (CRP). The diagnostic performance of the observed indicators, both individually and in combination, was assessed for the diagnosis of AA using Receiver Operating Characteristic (ROC) curves analysis and Delong's test. The laboratory indicators demonstrated a progressive increase from the HC group to the AP group, and further to the AA group (all p<0.05). Multifactorial logistic regression analysis identified NEU% and plasma NGAL as significant risk factors for the occurrence of AA. ROC curve analysis and Delong's test indicated that, in distinguishing the AA group from the HC group, the diagnostic performance of plasma NGAL, CRP, and NLR was equally substantial and superior to that of NEU and WBC. Within the AP group, plasma NGAL and CRP exhibited comparable diagnostic efficacy, outperforming NEU, WBC, and NLR. When differentiating AA in the non-appendicitis group (ie HC group + AP group), NGAL and CRP demonstrated comparable diagnostic efficacy, surpassing that of NEU, white WBC, and NLR. While the integration of multiple diagnostic tests can potentially improve overall diagnostic accuracy, the observed enhancement in the AUC is not statistically significant. NGAL, CRP, WBC, NEU% and NLR were significantly increased in patients with acute abdomen. NGAL and NEU% may function as independent risk factors for predicting the incidence of AA, with NGAL and CRP demonstrating similar and favorable diagnostic performance. While the combined evaluation of these biomarkers may enhance the diagnostic value for AA, the improvement in the area under the curve (AUC) is not substantial.

Feather meal as a sustainable protein source for aquaculture in Bangladesh: Economic implications

The aquaculture industry is primarily burdened by the costs associated with feed. It is fundamentally dependent on fish meal derived from wild-caught sources as the primary source of protein. With the widespread adoption of alternative feed ingredients for sustainable production, this study evaluated the use of poultry feathers as feed ingredients to produce hydrolyzed feather meal (HFM) and its economic implications in Bangladesh. Samples were collected from the poultry markets of Dhaka city and hydrolyzed using formic acid for hydrolyzed feather meal (HFM) contains a higher percentage of crude protein nutritional analysis. A questionnaire survey was executed to evaluate the market dynamics associated with poultry waste. It was observed that the city generates approximately 1000 metric tons of poultry waste every day. Among them, 95% of the waste is thrown away. It was discerned that 0.5 metric tons of feather meal could be generated using one ton of raw feathers. Annually, 3000 metric tons of feather meal could be produced with a value of 0.9 million US$. The HFM contains a higher percentage of crude protein (86.53±0.02%) with crude fat (5.03±0.03%). It contains most of the important amino acids that are beneficial for the growth of fish. The price of the HFM was estimated at 0.27 to 0.30 US$ per kilogram, notably lower compared to fish meal (1.1 US$), and bone meal (0.7 US$). The physical properties of the HFM were found satisfactory. Thus, domestically sourced hydrolyzed feather meal could be used as a feed ingredients for aquaculture operations to reduce feed costs. HFM has the potential to be utilized as a cost-effective feed ingredient, thus lowering overall feed expenses, and presenting a substantial commercial potential.

Yellow mealworm: effects of adults breeding density on adults and larvae performances from an industrial perspective

A key aspect to optimise the Tenebrio molitor (TM) farm productivity is to find an optimal breeding density for adults. To this purpose, this study investigated, from an industrial perspective, the impact of 4 breeding densities (D1, D2, D3 and D4, equal to 0.8, 1.1, 1.3 and 1.6 adults/cm2, respectively) on mortality and reproductive performances of TM adults and larvae. Two weeks after pupae emergence, TM adults were randomly assigned to the four groups and housed in 48 breeding crates (60 x 40 x 14.5 cm; 12 crates/group). The trial consisted in 4 consecutive weeks of adults breeding (each week represented one oviposition), and 8 weeks of larvae growth. From each week of oviposition, a batch of larvae was obtained for a total of 4 batches of larvae (48 crates/batch). Larvae of each batch were grown until 8 weeks of age, corresponding to the period required to reach the selling size. Larvae were kept in the original crates until the 5th weeks of age, after which they were divided into additional crates to ensure a density of 4.2 larvae/cm2 and a final weight of 1500 g of larvae/crate (0.6 g of larvae/cm2). For each oviposition week, TM adult’s mortality, eggs hatchability, BW, feed intake, chemical composition and fatty acids (FAs) profile were evaluated, while ovary weight was measured at weeks 1 and 4. The number of larvae was monitored at week 5 of age while their chemical composition at week 5 and 8. Larvae feed intake and BW were monitored over the 8-weeks growth period. Individual feed intake and BW of adults increased with increasing breeding density (P<0.0001 and P<0.05, respectively). With increasing adults breeding density, the number of larvae per crate increased (P<0.001) while the grams of larvae/gram of adult decreased (R2=0.8856). Larvae from groups D2, D3 and D4 showed higher feed intake per crate and higher individual and total final BW than D1 (P<0.001). However, the feed conversion ratio (FCR) worsened with increasing breeding density (P<0.001). D4 larvae had higher percentages of protein (P<0.001), lipids (P<0.05) and cholesterol (P<0.001) compared to larvae from other groups. Concluding, a breeding density of 0.8 adults/cm2 maximised both grams of larvae produced/grams of adults and larvae FCR. However, breeding densities above 0.8 adults/cm2, resulted in a higher number of produced larvae per crate with a greater final mass weight making a density of 1.6 adults/cm2 the preferable choice from and industrial perspective.

Effect of Treatment with Humic Acid on Some Growth Characteristics and Protein Content in Different Varieties Vicia faba L. Plant

An experiment was carried out using plastic pots in the 2023-2024 season to evaluate the method of treatment with humic acid in the growth characteristics and protein percentage of different varieties of faba bean plants. The study included two factors, the method of adding humic acid (without acid, spraying acid on the plant, adding acid to the soil). The second factor included four varieties of beans (local Iraqi, Netherland, Spanish, and French). The results showed: superiority of the treatment of adding Humic acid to the soil in terms of plant height, total chlorophyll percentage, number of leaves, and protein percentage by 13.25% and 7.59 mg g-1 wet weight. 6.78% and 8.75%, respectively Compared to the control treatment, the local variety was superior in the characteristics of plant height and number of leaves by 31.72 and 7.26% compared to the French variety, which was superior in the characteristics of number of leaves and protein percentage by 12.27 and 24.0%, respectively. The interaction also outperformed adding acid to the local variety in plant height. By 53.13%, the French variety with added acid exceeded the characteristics of number of leaves and protein percentage by 26.40 and 30.50%, respectively.

Chemical Composition Of Neem Seedlings (Azadirachta Indica L.) Sprayed With Arginine, Kinetin, And Chelated Iron

A pot experiment was carried out in the canopy of the Horticulture and Landscape Department - College of Agriculture - University of Kerbala during the 2023-2024 season to study the effect of kinetin (K) (0, 50, 100 mg L-1), arginine (A) (0, 150, 300 mg L-1), and chelated iron (F) (0 and 200 mg L-1) on some qualitative characteristics of neem seedlings. The study was implemented as a factorial experiment with a completely randomized block design with three replications. The majority of chemical features were significantly impacted by kinetin spraying, with the exception of the proportion of nitrogen, potassium, and protein in the leaves. Arginine affected all traits except total chlorophyll, while chelated iron mainly impacted potassium percentage. The research factors had varying effects on the features under investigation in the binary interaction findings. Treatment K1A1 produced the greatest rate of total chlorophyll, measuring 56.19 mg g-1 fresh weight, While the Fe2A2 treatment was superior in increasing the percentage of carbohydrates (13.31 mg g dry weight-1). With an average percentage of 3.308% for nitrogen content and 0.1588% for phosphorus, treatment K0A2 and treatment K1A2 respectively yielded the greatest percentages. However, treatment K0A1 produced a substantially higher percentage of protein, at 20.67%. Only the percentage of phosphorus was significantly affected by the triple intervention; the K1A0Fe2 treatment produced the highest rate of 0.1640%. This study concludes that High kinetin levels may have adverse effects, but when combined with nutrient-rich fertilizers, they can enhance seedling characteristics of trees with medicinal benefits.

Identification of Genetic Associations of IDH2, LDHA, and LDHB Genes with Milk Yield and Compositions in Dairy Cows.

Previous study revealed that isocitrate dehydrogenase (NADP (+)) 2, mitochondrial (IDH2), lactate dehydrogenase A (LDHA), and lactate dehydrogenase B (LDHB) genes were significantly differentially expressed in liver tissues of Holstein cows among different lactation periods and associated with lipid and protein metabolism; hence, they were considered as candidates for milk production traits. Herein, the genetic effects of the three genes on milk yield, fat, and protein traits were studied by association analysis using 926 Chinese Holstein cows from 45 sire families. As a result, five single nucleotide polymorphisms (SNPs) in IDH2, one in LDHA, and three in LDHB were identified by re-sequencing, and subsequently, they were genotyped in 926 Chinese Holstein cows by genotyping by target sequencing (GBTS). With the animal model, single-locus association analysis revealed that four SNPs in IDH2 and one SNP in LDHA were significantly associated with milk, fat, and protein yields (p ≤ 0.0491), and three SNPs in LDHB were associated with milk yield, milk fat yield, and fat percentage (p ≤ 0.0285). Further, four IDH2 SNPs were found to form a haplotype block significantly associated with milk yield, fat yield, protein yield, and protein percentage (p ≤ 0.0249). In addition, functional predictions indicated that one SNP in LDHA, g.26304153G>A, may affect transcription factor binding and two SNPs, g.88544541A>G and g.88556310T>C could alter LDHB mRNA secondary structure. In summary, this study profiled the significant genetic effects of IDH2, LDHA, and LDHB on milk yield and composition traits and provided referable genetic markers for genomic selection programs in dairy cattle.

DeepGenomeScan of 15 Worldwide Bovine Populations Detects Spatially Varying Positive Selection Signals.

Identifying genomic regions under selection is essential for understanding the genetic mechanisms driving species evolution and adaptation. Traditional methods often fall short in detecting complex, spatially varying selection signals. Recent advances in deep learning, however, present promising new approaches for uncovering subtle selection signals that traditional methods might miss. In this study, we utilized the deep learning framework DeepGenomeScan to detect spatially varying selection signatures across 15 bovine populations worldwide. Our analysis uncovered novel insights into selective sweep hotspots within the bovine genome, revealing key genes associated with physiological and adaptive traits that were previously undetected. We identified significant quantitative trait loci linked to milk protein and fat percentages. By comparing the selection signatures identified in this study with those reported in the Bovine Genome Variation Database, we discovered 38 novel genes under selection that were not identified through traditional methods. These genes are primarily associated with milk and meat yield and quality. Our findings enhance our understanding of spatially varying selection's impact on bovine genomic diversity, laying a foundation for future research in genetic improvement and conservation. This is the first deep learning-based study of selection signatures in cattle, offering new insights for evolutionary and livestock genomics research.