Lymphocyte-C-Reactive Protein Ratio with Calf Circumference Could Better Predict Survival of Patients with Non-Metastatic Cancer

Background Systemic inflammatory responses caused by tumor cells play an important role in the occurrence and development of tumors. Most of these responses are accompanied by a decrease in muscle mass. The aim of this study was to identify biomarkers that most accurately predict prognoses in patients with non-metastatic cancer and to evaluate their clinical significance when combined with muscle markers. Methods This study retrospectively evaluated 2,797 cancer patients diagnosed with cancer at TNM stages I, II, and III. Lymphocyte-C-reactive protein ratio (LCR) in conjunction with calf circumference (CC) were used (or chosed) after evaluating the predictive value of 13 inflammatory marker combinations and five anthropometric indicators for patient outcomes using the C-index. The Kaplan-Meier method and Cox’s proportional hazards regression modeling were used to analyze the individual and combined effects of these two potential biomarkers on overall survival. Results This study enrolled 1,604 men (57.3%) and 1,193 women (42.7%) with a mean age of 58.75 years. Among the 13 inflammatory nutritional indicators, the LCR was the most accurate predictor of prognoses in patients with non-metastatic cancer. The optimal threshold for the LCR was 2,500. After multifactorial adjustment, we found that low LCR had an adverse effect on overall survival (hazard ratio [HR]: 2.50; 95% confidence interval [CI]: 2.17, 2.88; P<0.001). Low LCR combined with low CC was also shown to be an independent risk factor for poor overall survival (HR: 2.26; 95% CI: 1.80, 2.83; P<0.001). In non-metastatic cancer patients of different ages, stages, surgery history, and tumor types (for example, upper gastrointestinal cancer, colorectal cancer, lung cancer), patients with a low LCR combined with a low CC had statistically significantly reduced overall survival. Compared with LCR or CC alone, the combination of the two had greater prognostic value for patients with non-metastatic cancer. Conclusions The LCR can be implemented as a useful biomarker to predict prognoses in patients with non-metastatic cancer, its predictive value is superior to the other evaluated indicators of inflammation. CC is the best anthropometric indicator of muscle loss in patients with non-metastatic cancer. The combination of LCR and CC can better predict the prognosis of patients with non-metastatic cancer, and can provide important information for clinicians to formulate diagnosis and treatment plans.

Baseline composition and microbial quality assessment of raw milk from endemic small ruminants and Maghrebi camels in the oasis area of Tunisia

Characteristics and quality aspects of milk from native ovine queue fine de l’Ouest (QFO) and the local goat population were investigated and compared with those of the local Maghrebi camel. A total of 378 individual milk samples were collected from lactating animals reared in the continental oasis region of Tunisia. Samples were analyzed for physical parameters (pH, density, and acidity), chemical composition (dry matter, fat, protein, lactose, casein, ash, and casein-protein ratio), mineral concentrations (Ca, P, Na, and K) and microbiological features (total mesophilic aerobic bacteria (TMAB), total coliform count (TCC), lactic acid bacteria (LAB), sulphite-reducing Clostridium (CSR), yeast and molds (Y/M), Staphylococcus aureus (S. aureus), Escherichia coli (E. coli), and Salmonella) according to standard methods. The results obtained for milk characteristics revealed noticeable disparities between the three species. The mean values of pH, density, and acidity in milk collected from sheep appeared higher than those in milk collected from goat species. Compared to the camel populations, sheep species produced milk with similar pH but higher density and acidity. Between camel and goat species, pH and acidity were higher in Negga, while the density was similar. For milk composition, the results showed a remarkable variation among all studied species and an obvious superiority of the ovine species over the caprine and camel populations in all the chemical contents being studied, except for the casein-protein ratio, which is in favor of goat species. The milk of QFO sheep, the richest in casein and protein, was expressed with significantly higher levels of calcium and phosphorus than goat and camel milk. Compared to small ruminants, milk from camels is the richest in Na and K. Additionally, more Ca is present in milk from camels than goats. Goat milk, the poorest type of milk in Ca and Na, contains on average more P than camel milk and more K than sheep's milk. The poor bacteriological quality was that of camel milk for all microbial counts. The microbial quality of goat milk was higher than that of ewe milk based on TMAB, TCC, and E. coli counts, while ovine milk was of better quality, referring to LAB, Y/M, and S. aureus values. No significant differences were found for Staphylococcus aureus and Escherichia coli between the examined species. The obtained results highlighted the complete absence of the two dangerous pathogens Salmonella and CSR in all investigated milk samples. The microbiological examination evidenced that the milk of small ruminant species complies with standard criteria required by Tunisian legislation on the hygiene of milk and dairy products. Regarding camel milk, the microbial analysis revealed poor quality that exceeds standard criteria.

Detection of multi-resistant clinical strains of E. coli with Raman spectroscopy

In recent years, we have seen a steady rise in the prevalence of antibiotic-resistant bacteria. This creates many challenges in treating patients who carry these infections, as well as stopping and preventing outbreaks. Identifying these resistant bacteria is critical for treatment decisions and epidemiological studies. However, current methods for identification of resistance either require long cultivation steps or expensive reagents. Raman spectroscopy has been shown in the past to enable the rapid identification of bacterial strains from single cells and cultures. In this study, Raman spectroscopy was applied for the differentiation of resistant and sensitive strains of Escherichia coli. Our focus was on clinical multi-resistant (extended-spectrum β-lactam and carbapenem-resistant) bacteria from hospital patients. The spectra were collected using both UV resonance Raman spectroscopy in bulk and single-cell Raman microspectroscopy, without exposure to antibiotics. We found resistant strains have a higher nucleic acid/protein ratio, and used the spectra to train a machine learning model that differentiates resistant and sensitive strains. In addition, we applied a majority of voting system to both improve the accuracy of our models and make them more applicable for a clinical setting. This method could allow rapid and accurate identification of antibiotic resistant bacteria, and thus improve public health. Graphical abstract

DETERMINATION OF FEED QUALITY PARAMETERS OF LEAVES AND STEMS OF DIFFERENT ALFALFA GENOTYPES

This research was carried out to determine feed quality parameters of leaves and stems of different alfalfa genotypes. A total of 12 alfalfa genotypes was used as the plant material for the study. Alfalfa plants were harvested at the flowering stage. The plants were dried at 70°C and grinded in a hand-mill with 1 mm sieve for chemical analysis. In leaf, the acid detergent fiber (ADF) content of genotypes varied between 21.62 - 27.40%, the neutral detergent fiber (NDF) content between 33.98 - 39.95%, and crude protein content between 24.68 - 28.45%, whereas in stem ADF content of genotypes varied between 50.99 - 57.72%, NDF content between 66.96 - 76.79 %, crude protein content between 8.46 - 11.00%. The RFV ranged from 159.18 to 197.27% and 53.22 to 67.06% for leaf and stem respectively. The leaf to stem ratio of genotypes ranged from 0.72 to 1.60. Considering current results from different genotypes, genotype has a high effect on feed quality. In addition, the rate of leaf to stems is also effective on feed quality. While the protein ratio of the leaves was higher than the stems, the ADF and NDF contents were found to be lower than the stems. So, in the selection of alfalfa genotypes, attention should be paid to the leaf to stem ratio as well as the yield.

Differentiating glomerular from non-glomerular hematuria: role of urinary albumin-total protein ratio

Background: Hematuria is one of the most common and early signs of diseases related to genitourinary system and can be classified as either glomerular or non-glomerular in origin. Percentage of dysmorphic RBC (%dRBC) in urine has been in practice as a diagnostic tool for differentiating glomerular from non-glomerular hematuria. Recent studies indicate that, urinary albumin-total protein ratio (uAPR) can also be used as a diagnostic tool in this regard. This study aimed to evaluate the sensitivity and specificity of uAPR as a diagnostic tool for detecting glomerular hematuria in comparison to %dRBC in urine. Methods: This cross-sectional study enrolled 96 patients with hematuria. Fresh urine samples were collected from each subject to determine the %dRBC and to calculate uAPR. Receiver operating characteristic curve analysis was done on these results to evaluate the sensitivity and specificity of uAPR and %dRBC in differentiating glomerular from non-glomerular hematuria. Results: uAPR and %dRBC were significantly (p<0.001) higher among patients with glomerular hematuria than non-glomerular hematuria. At the cutoff value of 0.57 mg/mg, uAPR showed sensitivity of 81.8% and specificity of 95.5%. At the cutoff value of 22.5%, %dRBC showed sensitivity of 54.5% and specificity of 86.4%. Conclusion: uAPR has higher sensitivity and specificity than %dRBC in differentiating glomerular from nonglomerular hematuria and can be used as a diagnostic tool. BIRDEM Med J 2022; 12(1): 51-56

Agro-Morphological Characterization and Some Seed Characteristics of Wild Crambe (Brassicaceae) Species in Turkey

The seeds of wild Crambe species have potential to be used as a source of industrial oil and animal feed. In this study, 48 genotypes of three Crambe species collected from the flora of Turkey were grown under field conditions in Ankara/Turkey in 2014–2016. The seed protein ratio, plant height, number of branches per plant, number of seeds per plant, seed yield per plant, thousand seed weight and hulless/hulled seed ratio (H/H) were determined. The highest protein ratio was determined as 26.02% in the t18 accession of Crambe tataria species. Variations in the characteristics were analyzed using principal component analysis. In the factor analysis of Crambe maritima, Crambe orientalis, Crambe tataria and the mean of these three species, the first two principal components accounted for 100%, 58.06%, 59.93% and 100% of the total variations, respectively. There were positive correlations between the plant height and number of seeds per plant, seed yield per plant for C. orientalis, and number of branches per plant for C. tataria. Although seed yield per plant was high in C. tataria and C. orientalis, they are not suitable for conventional agriculture due to shell thickness, inhomogeneous plant emergence and shooting. Conventional cultivation of wild Crambe species can be made possible by eliminating these negative features with breeding and agronomic studies.

Nitrogen Intake and Its Partition on Urine, Dung and Products of Dairy and Beef Cattle in Chile

Nitrogen that is excreted through the urine and dung of cattle is an important source of nitrous oxide and ammonia emissions. In Chile, several studies have evaluated nitrogen (N) intake and its partitioning into urine and dung from beef and dairy cattle, however, there are no studies collating all data into one central database, which would allow an estimation of N excretion and its key variables to be developed. The aim of this study was to determine the N partition (milk or meat, urine and dung) and variables influencing the nitrogen use efficiency (NUE) and urinary N excretion of cattle based on a database generated from Chilean studies. The search of studies was carried out using a keyword list in different web-based platforms. Nitrogen excretion into urine and dung was calculated using equations reported in the literature for beef and dairy cattle. Mixed models were used to identify variables influencing the N partitioning. Nitrogen intake and its partitioning into the animal product, urine and dung were higher for dairy compared to beef cattle. For dairy cattle, NUE was influenced by milk yield, the non-fibrous carbohydrates (NFC)/crude protein ratio, acid detergent fiber intake and milk urea N (MUN), while urinary N excretion was influenced by milk yield, MUN and NFC intake. For beef cattle, N intake and its excretion were greater for grazing compared to the confined system, while NUE was greater for confined animals. This database supplies new information on N intake and its partitioning (milk, meat, urine and dung) for dairy and beef cattle, which can be used for the estimation of greenhouse gas emissions from pasture-based livestock in Chile. Additionally, our study supplies new information on nutritional variables determining NUE and urinary N excretion for dairy cattle, which can be used by farmers to reduce N excretion into the environment.

GROWTH OF JUVENILES OF THE FAT SNOOK, Centropomus parallelus, IN RESPONSE TO DIETARY LIPID, ENERGY AND PROTEIN

This study evaluated the growth of fat snook Centropomus parallelus in response to the dietary total lipids, gross energy (GE) and crude protein (CP) content. In the 1st experiment, five isonitrogenous diets with 541.7 ± 2.4 g kg-1 CP varied their lipid content in 113, 151, 160, 189 and 200 g kg-1 and GE in 18.8, 19.4, 20.4, 21.2 and 22.2 MJ kg-1, respectively. A total of 300 fish with 6.5 ± 2.4 g were stocked in 30 tanks of 1 m3 under 10 fish m-³ and reared for 96 days. There were no differences in fish final body weight (38.2 ± 12.5 g), daily weight gain (DWG, 0.35 ± 0.04 g day-1) and specific growth rate (SGR, 1.92 ± 0.11 day-1) among dietary treatments. Feed conversion ratio (FCR) was 1.76 ± 0.17 with a protein efficiency ratio of 1.06 ± 0.10. The viscerosomatic (VSI) and visceral fat indices (VFI) raised significantly with an increase in the dietary lipid while the hepatosomatic index (HSI) was unaffected. There was a significant reduction in feed intake as the dietary lipid content reached 189 g kg-1. In a 2nd study, five isolipidic diets (114.4 ± 1.9 g kg-1 lipids) with decreasing levels of CP and GE of 578, 535, 505, 465, and 430 g kg-1 and 20.5, 19.9, 19.4, 18.9, and 18.1 MJ kg-1, respectively, were evaluated. A total of 1,450 fish of 5.8 ± 2.1 g were reared in 30 tanks of 5.8 m³ under 10 fish m-3 for 93 days. Final survival reached 93.5 ± 5.5%. Fish DWG (0.27 ± 0.05 g day-1) and SGR (1.78 ± 0.11 % day-1) did not vary in response to dietary CP. Final body weight significantly reduced while HSI increased in fish fed the 430 g kg-1CP diet compared with fish fed the 578 g kg-1 CP diet. Results of this work indicated that fish between 5.8 g and 40.8 g wet body weight can maximize growth when fed diets containing 113.2 g kg-1 lipids, 540.5 g kg-1 CP and a 34.7 MJ kg-1 energy to protein ratio. Keywords: Centropomus parallelus, fat snook, protein, lipid, energy.

The Effect of Organic and Inorganic Fertilization on The Yield and Some Yield Components of Lentil (Lens culinaris Medic.) In Van Conditions

The study was conducted to determine effects of organic and inorganic fertilization on the yield and some yield components in lentil cultivars in 2014-15 growing seasons in Van. The experiment was laid out in a factorial randomised block design with three replications. The study was conducted to determine effects of different fertilizer sources (Control, DAP, Chicken manure and sheep manure) on the yield and some yield components in two lentil cultivars (Özbek and Kafkas). In the study were investigated the plant height, first pod height, branch number per plant, pod and seed number per plant, seed number per pod, biological yield, seed yield per unit, harvest index, 1000-seed weight and protein ratio in seed. The highest seed yield was obtained from chicken manure application of Özbek cultivar with 157.6 kg da-1.