Majda Dali-Sahi

Ki-67 is a histological marker indicating cancer aggressiveness, while tryptophan (TRP) depletion modulates immune responses, including tumor aggressiveness. The study evaluates Ki-67's predictive value in relation to plasma TRP levels in invasive ductal carcinoma of breast cancer, aiming to improve understanding of tumor characteristics and clinical behavior. A study involving 165 women, measured plasma TRP levels and Ki-67 and analyzed their relationship with tumor aggressiveness markers using statistical analyses and predictive models. Our study highlighted a significant correlation between decreased plasma levels of TRP and a high mitotic index, measured by the Ki-67 marker (Pearson correlation coefficient r = − 0.402; p = 0.011). Tryptophan levels below 40 µmol/L were associated with a Ki-67 level above 15%, suggesting more active tumor growth in patients. Additionally, several risk factors for BC were identified within the studied population. The demographic and clinical characteristics of the participants include an average age of 63 years, plasma glucose levels above 1.2 g/L, and plasma TRP levels below 40 µmol/L, which are associated with an increased risk of BC. Furthermore, various polynomial logistic regression models indicate that TRP levels may be predicted based on Ki-67 expression, providing a promising approach to refine prognostic assessments. The study showed a correlation between low levels of tryptophan (TRP) and a high Ki-67 mitotic index in breast cancer patients, particularly in invasive ductal carcinoma, which is strongly linked to the aggressiveness of the disease. The integration of these markers into routine practice remains a technical and economic challenge.

Algeria is the largest country in Africa, located close to the Mediterranean coastal area, where nutrients consumption varies widely. Local data on selenium composition of foods are not available. We postulated a close correlation between selenium status predictions from food consumption analysis with a quantitative analysis of circulating biomarkers of selenium status. Population characteristics were recorded from 158 participants and dietary selenium intake was calculated by 24-h recall. The average total plasma selenium was 92.4 ± 18.5 µg/L and the mean of selenium intake was 62.7 µg/day. The selenoprotein P concentration was 5.5 ± 2.0 mg/L and glutathione peroxidase 3 activity was 247.3 ± 41.5 U/L. A direct comparison of the dietary-derived selenium status to the circulating selenium biomarkers showed no significant interrelation. Based on absolute intakes of meat, potato and eggs, a model was deduced that outperforms the intake composition-based prediction from all food components significantly (DeLong’s test, p = 0.029), yielding an area under the curve of 82%. Selenium status prediction from food intake remains a challenge. Imprecision of survey method or information on nutrient composition makes extrapolating selenium intake from food data providing incorrect insights into the nutritional status of a given population, and laboratory analyses are needed for reliable information.

Background: To determine the relationship between ABO/rhesus (Rh) blood groups and type 2 diabetes mellitus in a western Algerian population. Method: This case-control study was conducted at the Regional Hospital Centre of Maghnia, Tlemcen, from July 2008 to May 2009, involving 280 patients with type 2 diabetes mellitus and 271 healthy controls. Blood samples were collected from the patients after consent had been obtained. The samples were tested for ABO and Rh blood groups, using the Beth-Vincent and Simonin-Michon methods. The allele frequencies were calculated according to the Bernstein formulas. Results: The χ² test results showed that there was no association between the ABO blood group and type 2 diabetes mellitus. It was also noted that the O blood group was distributed with the highest frequency among diabetic subjects (52.85%). For the Rh system, d allele frequency presence was higher in diabetics than in nondiabetics (0.3778 and 0.3644 respectively). The difference between phenotype frequencies was not significant (p = 0.733). The distribution of ABO/Rh blood groups between gender and ethnic group showed no significant difference (p > 0.05). Conclusion: Our study confirms that there is no association between ABO/Rh blood group and diabetes mellitus in this Algerian population.