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This study evaluated a concept-program developed in the area of a Family Health Unity, which monitored, for two years, the returns of infant children to regular attendance by the dentist, through their vaccines cards. A cross-sectional study was conducted, involving a convenience sample of 123 children aged 12 to 36 months, residents in the area. Data were collected during a campaign of immunization, in 2007, through a questionnaire answered by parents, vaccines cards checking, and clinical examination of children. The results showed that 81% of the examined children were registered in the FHU for dental care; from them, 95% had entered before reaching one year of life, having vaccines cards registration. It was also found that 50% of the children had visited the dentist more than once per year of life and 58% of them returned for dental appointments in the year before the survey. The prevalence of dental caries was lower in this group of children (17%), than in the group without frequent returns, or the one not registered in the FHU (26%). It was concluded that the vaccines card can be a useful tool for tracking the frequency of babies to dentist.

Background: Glucocorticoids (GCs) are used in moderate-to-severe inflammatory bowel diseases (IBD) but their effect is often unpredictable., Aim: To determine the influence of 4 polymorphisms in the GC receptor [nuclear receptor subfamily 3, group C, member 1 (NR3C1)], interleukin-1β (IL-1β), and NACHT leucine-rich-repeat protein 1 (NALP1) genes, on the clinical response to steroids in pediatric patients with IBD., Methods: One hundred fifty-four young IBD patients treated with GCs for at least 30 days and with a minimum follow-up of 1 year were genotyped. The polymorphisms considered are the BclI in the NR3C1 gene, C-511T in IL-1β gene, and Leu155His and rs2670660/C in NALP1 gene. Patients were grouped as responder, dependant, and resistant to GCs. The relation between GC response and the genetic polymorphisms considered was examined using univariate, multivariate, and Classification and Regression Tree (CART) analysis., Results: Univariate analysis showed that BclI polymorphism was more frequent in responders compared with dependant patients (P=0.03) and with the combined dependant and resistant groups (P=0.02). Moreover, the NALP1 Leu155His polymorphism was less frequent in the GC responsive group compared with resistant (P=0.0059) and nonresponder (P=0.02) groups. Multivariate analysis comparing responders and nonresponders confirmed an association between BclI mutated genotype and steroid response (P=0.030), and between NALP1 Leu155His mutant variant and nonresponders (P=0.033). An association between steroid response and male sex was also observed (P=0.034). In addition, Leu155His mutated genotype was associated with steroid resistance (P=0.034). Two CART analyses supported these findings by showing that BclI and Leu155His polymorphisms had the greatest effect on steroid response (permutation P value=0.046). The second CART analysis also identified age of disease onset and male sex as important variables affecting response., Conclusions: These results confirm that genetic and demographic factors may affect the response to GCs in young patients with IBD and strengthen the importance of studying high-order interactions for predicting response.

Purpose of Review: The therapeutic index of many medications, especially in children, is very narrow with substantial risk for toxicity at doses required for therapeutic effects. This is particularly relevant to cancer chemotherapy, when the risk of toxicity must be balanced against potential suboptimal (low) systemic exposure that can be less effective in patients with higher rates of drug clearance. The purpose of this review is to discuss genetic factors that lead to interpatient differences in the pharmacokinetics and pharmacodynamics of these medications., Recent Findings: Genome-wide agonistic studies of pediatric patient populations are revealing genome variations that may affect susceptibility to specific diseases and that influence the pharmacokinetic and pharmacodynamic characteristics of medications. Several genetic factors with relatively small effect may be combined in the determination of a pharmacogenomic phenotype and considering these polygenic models may be mandatory in order to predict the related drug response phenotypes. These findings have potential to yield new insights into disease pathogenesis, and lead to molecular diagnostics that can be used to optimize the treatment of childhood cancers., Summary: Advances in genome technology, and their comprehensive and systematic deployment to elucidate the genomic basis of interpatient differences in drug response and disease risk, hold great promise to ultimately enhance the efficacy and reduce the toxicity of drug therapy in children.

Azathioprine is a thiopurine immunosuppressive antimetabolite used to chronically treat inflammatory bowel disease and autoimmune hepatitis. Azathioprine treatment is a long-term therapy and therefore it is at risk for non-adherence, which is considered an important determinant of treatment inefficacy. Measurement of 6-thioguanine and 6-methylmercaptopurine nucleotides has been recently suggested as a screener for non-adherence detection. We describe four young patients in which non-adherence to azathioprine therapy was detected only through the measurement of drug metabolite concentrations, and the criterion for non-adherence was undetectable metabolite levels. After the identification of non-adherence, patients and their families were approached and the importance of a correct drug administration was thoroughly enlightened and discussed; this allowed obtaining a full remission in all subjects. Our observations support the use of undetectable metabolite levels as indicators of non-adherence to therapy in azathioprine treated patients. The additional level of medical supervision given by this assay allows getting a better adherence to medical treatment, which results in an improvement in the response to therapy; these benefits may justify the costs associated with the assay., (Copyright © 2010 European Crohn's and Colitis Organisation. Published by Elsevier B.V. All rights reserved.)

Importance of the Field: Although genetic polymorphisms in the gene encoding human thiopurine methyltransferase (TPMT) are known to have a marked effect on mercaptopurine metabolism and toxicity, there are many patients with wild-type TPMT who develop toxicity. Furthermore, when mercaptopurine dosages are adjusted in patients who are heterozygous at the TPMT locus, there are still some patients who develop toxicity for reasons that are not fully understood. Therefore, we recently studied the effects of a common polymorphism in another gene encoding an enzyme involved in mercaptopurine metabolism (SNP rs1127354 in inosine-triphospate-pyrophosphatase, ITPA), showing that genetic polymorphism of ITPA is a significant determinant of mercaptopurine metabolism and of febrile neutropenia following combination chemotherapy of acute lymphoblastic leukemia (ALL) in which mercaptopurine doses are individualized based on TPMT genotype., Area Covered in This Review: In this review, we summarize the knowledge available about the effect and clinical relevance of TPMT and ITPA on mercaptopurine pharmacogenomics, with a particular focus on the use of this medication in pediatric patients with ALL., What the Reader Will Gain: Reader will gain insights into: i) the effects of pharmacogenomic traits on mercaptopurine toxicity and efficacy for the treatment of ALL and ii) individualization strategies that can be used to mitigate toxicity without compromising efficacy in pediatric patients with ALL., Take Home Message: Mercaptopurine dose can be adjusted on the basis of TPMT genotype to mitigate toxicity in pediatric patients with ALL. As treatment is individualized in this way for the most relevant genetic determinant of drug response (i.e., for mercaptopurine, TPMT), the importance of other genetic polymorphisms emerges (e.g., ITPA).

Background: Glucocorticoids (GCs) play a fundamental role in the treatment of pediatric acute lymphoblastic leukemia (ALL), but therapy with these agents often results in a number of severe side effects. The aim of our study was to evaluate the association between polymorphisms of genes encoding for proteins involved in the pharmacokinetics/pharmacodynamics of these drugs and the occurrence of side effects, in particular infections, in a small population of ALL children., Procedure: Common polymorphisms of NR3C1, ABCB1, glutathione-S-transferase (GST)-M1, GST-P1, GST-T1, and IL-10 genes were analyzed in 36 pediatric patients with ALL, treated according to the AIEOP-BMF ALL 2000 study protocol. Toxicities occurring during the induction and reinduction periods were assessed and their association with genotypes was evaluated., Results: In univariate analysis, the risk of severe infections was increased in subjects with the GST-M1 null genotype, while patients with the GST-M1 normal genotype had significantly more moderate degree infections. The results were confirmed by multivariate analysis. Selection from the reference models of independent variables based on Akaike Information Criteria (AIC) scores maintained the GST-M1 genotype variable in the model to predict severe infections, and the ABCB1 C3435T and GST-M1 genotype variables in the model for moderate infections., Conclusions: GST-M1 genotype may influence the severity of infections in ALL children during GC administration.

Purpose: The aim of this pilot study was to assess the association between polymorphisms in genes that encode for proteins involved in the pharmacokinetics/pharmacodynamics of glucocorticoids and the occurrence of respiratory distress syndrome (RDS) in preterm infants born to mothers treated with a complete course of betamethasone., Methods: Sixty-two preterm infants were enrolled. The C1236T, G2677T, and C3435T polymorphisms in the ABCB1 gene, BclI, N363S and ER22/23EK in the NR3C1 gene, I105V in the GST-P1 gene and GST-M1 and GST-T1 deletions were analyzed, and their association with the occurrence of RDS was assessed., Results: In univariate analysis, the heterozygous and homozygous presence of the I105V variant in the GST-P1 gene seemed to confer protection against the occurrence of RDS (P = 0.032), while no association for all other polymorphisms was observed. In multivariate analysis, selection from the reference model of independent variables based on AIC (Akaike information criteria) maintained three variables in the model: gestation, C3435T, and GST-P1 genotype., Conclusions: Polymorphisms of the GST-P1 gene may influence the effect of antenatal steroids on the newborn lung.

A case of severe hypersensitivity syndrome, triggered by carbamazepine in the presence of a concomitant active human herpes virus (HHV) 6 and 7 infection is described. To further understand the molecular mechanism of this adverse reaction, analyses of the genetic variants of human leukocyte antigen (HLA) and of the epoxide hydrolase gene (EPHX1), previously associated with carbamazepine hypersensitivity, were performed. A lymphocyte transformation test (LTT) was conducted in order to detect drug-specific lymphocytes. In the hypersensitive patient, 2 genetic factors previously associated with intolerance to carbamazepine were detected: the allele HLA-A*3101 and homozygosity for the variant allele of SNP rs1051740 in EPHX1. Drug-specific lymphocytes could be detected by LTT when the HHV was active (positive PCR for viral DNA and increased anti-HHV 6 IgG titer), but not when it was no longer active. In conclusion, we document a case of severe carbamazepine hypersensitivity triggered by viral reactivation in a patient presenting the interaction of 2 unfavorable genetic factors., (Copyright 2009 S. Karger AG, Basel.)

The underlying pathways that lead to relapse in childhood acute lymphoblastic leukemia (ALL) are unknown. To comprehensively characterize the molecular evolution of relapsed childhood B-precursor ALL, we used human 500K single-nucleotide polymorphism arrays to identify somatic copy number alterations (CNAs) in 20 diagnosis/relapse pairs relative to germ line. We identified 758 CNAs, 66.4% of which were less than 1 Mb, and deletions outnumbered amplifications by approximately 2.5:1. Although CNAs persisting from diagnosis to relapse were observed in all 20 cases, 17 patients exhibited differential CNA patterns from diagnosis to relapse. Of the 396 CNAs observed in 20 relapse samples, only 69 (17.4%) were novel (absent in the matched diagnosis samples). EBF1 and IKZF1 deletions were particularly frequent in this relapsed ALL cohort (25.0% and 35.0%, respectively), suggesting their role in disease recurrence. In addition, we noted concordance in global gene expression and DNA copy number changes (P = 2.2 x 10(-16)). Finally, relapse-specific focal deletion of MSH6 and, consequently, reduced gene expression were found in 2 of 20 cases. In an independent cohort of children with ALL, reduced expression of MSH6 was associated with resistance to mercaptopurine and prednisone, thereby providing a plausible mechanism by which this acquired deletion contributes to drug resistance at relapse.

Background: P-glycoprotein (Pgp), encoded by the ATP-binding cassette B1 (ABCB1) gene, is an efflux transporter located on the luminal side of intestinal epithelial cells, which protects the gut from endogenous and exogenous toxins. The association of two ABCB1 polymorphisms with the occurrence of colon cancer and long-term prognosis was evaluated in a selected patient population. The expression of Pgp in neoplastic and normal intestinal mucosa was also studied., Patients and Methods: Archival material from 51 patients, in Dukes stage B2 or C, treated for 6 months with 5-fluorouracil plus leucovorin was retrieved. The G2677T and C3435T polymorphisms were studied and immunohistochemical analysis of the tumor and adjacent normal tissue was performed., Results: The distribution of wild-type and polymorphic genotypes was similar in the patients and controls and in the patients who relapsed and those who remained event-free for 5 years. Cox proportional hazard model indicated an increased probability of relapse for older patients (p = 0.042) and C stage tumors (p = 0.030). Pgp expression was significantly lower in cancer tissue compared to normal mucosa (p < 0.001) and was related to grading, being lower in poorly-differentiated tumors (p < 0.05); however, no relationship was seen between Pgp expression, genotype and long-term prognosis., Conclusion: G2677T and C3435T polymorphisms are not associated with colon cancer risk and prognosis in a selected patient population.

Background: Childhood acute lymphoblastic leukemia (ALL) is the most common cancer in children, and can now be cured in approximately 80% of patients. Nevertheless, drug resistance is the major cause of treatment failure in children with ALL. The drug methotrexate (MTX), which is widely used to treat many human cancers, is used in essentially all treatment protocols worldwide for newly diagnosed ALL. Although MTX has been extensively studied for many years, relatively little is known about mechanisms of de novo resistance in primary cancer cells, including leukemia cells. This lack of knowledge is due in part to the fact that existing in vitro methods are not sufficiently reliable to permit assessment of MTX resistance in primary ALL cells. Therefore, we measured the in vivo antileukemic effects of MTX and identified genes whose expression differed significantly in patients with a good versus poor response to MTX., Methods and Findings: We utilized measures of decreased circulating leukemia cells of 293 newly diagnosed children after initial "up-front" in vivo MTX treatment (1 g/m(2)) to elucidate interpatient differences in the antileukemic effects of MTX. To identify genomic determinants of these effects, we performed a genome-wide assessment of gene expression in primary ALL cells from 161 of these newly diagnosed children (1-18 y). We identified 48 genes and two cDNA clones whose expression was significantly related to the reduction of circulating leukemia cells after initial in vivo treatment with MTX. This finding was validated in an independent cohort of children with ALL. Furthermore, this measure of initial MTX in vivo response and the associated gene expression pattern were predictive of long-term disease-free survival (p < 0.001, p = 0.02)., Conclusions: Together, these data provide new insights into the genomic basis of MTX resistance and interpatient differences in MTX response, pointing to new strategies to overcome MTX resistance in childhood ALL., Trial Registrations: Total XV, Therapy for Newly Diagnosed Patients With Acute Lymphoblastic Leukemia, http://www.ClinicalTrials.gov (NCT00137111); Total XIIIBH, Phase III Randomized Study of Antimetabolite-Based Induction plus High-Dose MTX Consolidation for Newly Diagnosed Pediatric Acute Lymphocytic Leukemia at Intermediate or High Risk of Treatment Failure (NCI-T93-0101D); Total XIIIBL, Phase III Randomized Study of Antimetabolite-Based Induction plus High-Dose MTX Consolidation for Newly Diagnosed Pediatric Acute Lymphocytic Leukemia at Lower Risk of Treatment Failure (NCI-T93-0103D).

Background: Adverse drug reactions to azathioprine, the prodrug of 6-mercaptopurine, occur in 15%-38% of patients and the majority are not explained by thiopurine-S-methyltransferase (TPMT) deficiency. Azathioprine is known to induce glutathione depletion and consumption of glutathione is greater in cells with high glutathione-S-transferase (GST) activity compared with those with low activity; moreover, some reports indicate that GST might play a direct role in the reaction of glutathione with azathioprine. The association between polymorphisms of GST-M1, GST-P1, GST-T1, and TPMT genes and the adverse effects of azathioprine was therefore investigated., Methods: Seventy patients with inflammatory bowel disease (IBD), treated with azathioprine, were enrolled and clinical data were retrospectively determined. TPMT and GST genotyping were performed by polymerase chain reaction (PCR) assays on DNA extracted from blood samples., Results: Fifteen patients developed adverse effects (21.4%); there was a significant underrepresentation of the GST-M1 null genotype among patients developing adverse drug reactions to azathioprine (odds ratio [OR] = 0.18, 95% confidence interval [CI] = 0.037-0.72, P = 0.0072) compared with patients who did not develop adverse effects. Patients heterozygous for TPMT mutations presented a marginally significant increased probability of developing adverse effects (OR = 6.38, 95% CI = 0.66-84.1, P = 0.062). Moreover, among the 55 patients who did not develop adverse effects, there was a significant underrepresentation of the GST-M1 null genotype among patients who displayed lymphopenia as compared with those that did not display this effect of azathioprine (OR = 0.15, 95% CI = 0.013-1.08, P = 0.032)., Conclusion: Patients with IBD with a wildtype GST-M1 genotype present increased probability of developing adverse effects and increased incidence of lymphopenia during azathioprine treatment.

We studied the associations between 3′UTR genetic variants in ADME genes, clinical factors, and the risk of breast cancer chemotherapy toxicity. Those variants and factors were tested in relation to seven symptoms belonging to myelotoxicity (anemia, leukopenia, neutropenia), gastrointestinal side effects (vomiting, nausea), nephrotoxicity, and hepatotoxicity, occurring in overall, early, or recurrent settings. The cumulative risk of overall symptoms of anemia was connected with AKR1C3 rs3209896 AG, ERCC1 rs3212986 GT, and >6 cycles of chemotherapy; leukopenia was determined by ABCC1 rs129081 allele G and DPYD rs291593 allele T; neutropenia risk was correlated with accumulation of genetic variants of DPYD rs291583 allele G, ABCB1 rs17064 AT, and positive HER2 status. Risk of nephrotoxicity was determined by homozygote DPYD rs291593, homozygote AKR1C3 rs3209896, postmenopausal age, and negative ER status. Increased risk of hepatotoxicity was connected with NR1/2 rs3732359 allele G, postmenopausal age, and with present metastases. The risk of nausea and vomiting was linked to several genetic factors and premenopausal age. We concluded that chemotherapy tolerance emerges from the simultaneous interaction of many genetic and clinical factors. [ABSTRACT FROM AUTHOR]

Precision medicine is revolutionizing the world in combating different disease modalities, including cancer. The concept of personalized treatments is not new, but modeling it into a reality has faced various limitations. The last decade has seen significant improvements in incorporating several novel tools, scientific innovations and governmental support in precision oncology. However, the socio-economic factors and risk-benefit analyses are important considerations. This mini review includes a summary of some commendable milestones, which are not just a series of successes, but also a cautious outlook to the challenges and practical implications of the advancing techno-medical era. [ABSTRACT FROM AUTHOR]

The heat dissipation optimization process is a crucial element in high power high electron mobility transistor (HEMT) components fabricated using the Gallium Nitride grown on silicon (Si) substrate. In this study, the Si substrate is thinned from 1000 to 600 µm, and then the partial device area (under the HEMT two dimension (2D electron concentration gas channel) is etched to 20 µm by a deep etching system. After, three different materials are utilized to fill the gap. There are electroplate copper sheets, silver paste, and copper paste. Afterward, the electrical properties and thermal management of the device are compared before and after the implementation of the heat dissipation process. The horizontal breakdown voltage of the gate and drain at 10 µm distance of copper paste is increased to 430 V compared to 405 V before the heat dissipation process. More importantly, the surface temperature of the device dropped approximately from 58 to 38 °C and the percentage drop in output current is reduced from 10.18% to 5.23%. [ABSTRACT FROM AUTHOR]

Simple Summary: Milk production and its composition are important for the economy, and they depend on complex biological processes. By finding the key genes and causal mutations linked to milk yield, we can improve breeding strategies for dairy animals. Thanks to advanced bioinformatics tools, it is now easier to find the genetic factors that affect milk traits. In our study, we used these methods to explore the genetics of milk traits in Murciano-Granadina goats. Although we found distinct genes associated with each trait, the regulatory proteins showed shared-yet-dynamic roles in controlling gene activity across different traits. This helped us understand how genes work together in the mammary gland, which affects milk production and udder health. The Murciano-Granadina goat (MUG) is a renowned dairy breed, known for its adaptability and resilience, as well as for its exceptional milk traits characterized by high protein and fat content, along with low somatic cell counts. These traits are governed by complex biological processes, crucial in shaping phenotypic diversity. Thus, it is imperative to explore the factors regulating milk production and lactation for this breed. In this study, we investigated the genetic architecture of seven milk traits in MUGs, employing a two-step computational analysis to examine genotype–phenotype associations. Initially, a random forest algorithm identified the relative importance of each single-nucleotide polymorphism (SNP) in determining the traits of interest. The second step applied an information theory-based approach to exploring the complex genetic architecture of quantitative milk traits, focusing on epistatic interactions that may have been overlooked in the first step. These approaches allowed us to identify an almost distinct set of candidate genes for each trait. In contrast, by analyzing the promoter regions of these genes, we revealed common regulatory networks among the milk traits under study. These findings are crucial for understanding the molecular mechanisms underlying gene regulation, and they highlight the pivotal role of transcription factors (TFs) and their preferential interactions in the development of these traits. Notably, TFs such as DBP, HAND1E47, HOXA4, PPARA, and THAP1 were consistently identified for all traits, highlighting their important roles in immunity within the mammary gland and milk production during lactation. [ABSTRACT FROM AUTHOR]

Cow milk is rich in proteins, fats, carbohydrates, and minerals; however, its precise nutrient content varies based on various factors. In the current study, we evaluated the differences in the fatty acid and protein contents of milk and the factors associated with these differences. To achieve this, samples were collected from seven types of cows in different regions. These included samples from three dairy breeds: Chinese Holstein milk from Beijing, China (BH), Chinese Holstein milk (HH) and Jersey milk (JS) from Hebei province, China; and four dairy/meat breeds: Sanhe milk (SH) from Inner Mongolia Autonomous Region, China, Xinjiang brown milk (XH) and Simmental milk (SI) from Xinjiang Uygur Autonomous Region, China, and Shu Xuanhua milk (SX) from Sichuan province, China. Breed significantly affects total fat, fatty acid, and protein contents. Additionally, geographic region significantly affects the contents of different fatty acids, α-lactalbumin, and lactoferrin. JS has the highest total fat and casein contents. XH samples contain significantly higher unsaturated fatty acid content than BH samples and do not differ significantly from JS. Additionally, the low β-lactoglobulin and high lactoferrin contents in XH samples may be favorable for the growth and development of infants. Our results may inform the development of dairy products from different cow breeds and advance the process of accurate breed identification. [ABSTRACT FROM AUTHOR]

Background: Metabolic inflammation (MI), long COVID (LC) and systemic lupus erythematosus (SLE) share some metabolic common manifestations and inflammatory pathophysiological similarities. Health-related quality of life (HRQoL) and metabolic age are indicators of health status. The "METAINFLAMMATION-CM Y2020/BIO-6600" project, a prospective controlled study, aimed to identify differential diagnostic tools and clinical features among three inflammatory conditions by comparing obesity status (low BMI vs. high BMI). Methods: A total of 272 adults of both Caucasian and Hispanic descent, diagnosed with MI, LC or SLE, and a range of BMI, were recruited. Clinical and phenotypic traits were measured to analyze body composition, metabolic and inflammatory markers, HRQoL data, metabolic age and lifestyle habits using a 3 × 2 (disease × BMI) factorial design. Results: Some inflammatory related variables, such as fibrinogen, RDW (red cell blood distribution width), ESR (erythrocyte sedimentation rate) and NLR (neutrophil/lymphocyte ratio), showed effect modifications depending on the BMI and disease type. In relation to HRQoL, the Physical Component Summary (PCS12) showed no relevant changes, while the Mental Component Summary (MCS12) showed a significant effect modification according to the disease type and BMI (p < 0.05). Furthermore, a significant interaction was identified between the disease type and BMI in relation to metabolic age (p = 0.02). Conclusions: Assessing the impact of BMI on these three inflammatory diseases may help to prevent clinical complications and to design personalized treatments, especially for patients with SLE, who have a worse prognosis with an increased BMI compared to the other two inflammatory diseases. [ABSTRACT FROM AUTHOR]

Integrating Artificial Intelligence (AI) into Precision Medicine (PM) is redefining healthcare, enabling personalized treatments tailored to individual patients based on their genetic code, environment, and lifestyle. AI's ability to analyze vast and complex datasets, including genomics and medical records, facilitates the identification of hidden patterns and correlations, which are critical for developing personalized treatment plans. Unsupervised Learning (UL) is particularly valuable in PM as it can analyze unstructured and unlabeled data to uncover novel disease subtypes, biomarkers, and patient stratifications. By revealing patterns that are not explicitly labeled, unsupervised algorithms enable the discovery of new insights into disease mechanisms and patient variability, advancing our understanding of individual responses to treatment. However, the integration of AI into PM presents some challenges, including concerns about data privacy and the rigorous validation of AI models in clinical practice. Despite these challenges, AI holds immense potential to revolutionize PM, offering a more personalized, efficient, and effective approach to healthcare. Collaboration among AI developers and clinicians is essential to fully realize this potential and ensure ethical and reliable implementation in medical practice. This review will explore the latest emerging UL technologies in the biomedical field with a particular focus on PM applications and their impact on human health and well-being. [ABSTRACT FROM AUTHOR]

Geographical indications (GIs), protected by the European Union with the collective marks of PDO (protected designation of origin), PGI (protected geographical indication), and TSG (traditional specialty guaranteed), play an important role in the social and economic system. They not only guarantee food needs, but promote correct consumer information, protect local food, and play a role in the environmental and social sustainability of rural areas. In Italy, Parmigiano Reggiano (PR-RE) PDO cheese is ranked second in foods with the GI protection mark by turnover. This research aims to assess the financial sustainability of the firms registered in the PR-RE PDO consortium using financial statement (FINSTAT) analysis. Financial ratios (FR) and the EM-Score were applied to assess firms' performance, financial risk, and credit score. The analysis distinguished firms by legal form, cooperative and non-cooperative, and altitude range—plain hill and mountain. The main findings of the research were as follows: (1) a better performance of lowland non-cooperative firms and lower financial risk, (2) a longer duration of the inventory cycle of cooperative firms, and (3) a greater financial risk in mountain cooperatives. The results provide indications for improving firms' performance and for designing financial instruments for the sector. To our knowledge, this is the first research to carry out an analysis of all the available FINSTATs of firms in the PR-RE PDO sector. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to investigate the molecular links and mechanisms between Crohn's disease (CD) and colorectal cancer (CRC). Methods: This study used the Gene Expression Omnibus (GEO) database to identify Differentially expressed genes (DEGs) in CD (GSE112366) and CRC (GSE110224), analyzed by 'edgeR' and 'limma'. The Gene Ontology and the Kyoto Encyclopedia of Genes and Genomes explored DEG functions, and the Search Tool for the Retrieval of Interacting Genes (STRING) informed the protein–protein interaction network construction visualized in Cytoscape (version 3.7.2). Cyto-Hubba identified key genes, whose biomarker potential for CD and CRC was evaluated. Results: The study discovered 61 DEGs, with 44 up- and 17 down-regulated, linked to immune responses and signaling pathways. CXCL1, highly expressed in colon cancer, correlated with better prognosis and lower staging. It also showed associations with immune infiltration and checkpoint molecules, suggesting a role in cancer progression and retreat. Conclusion: CXCL1 may play a role in the development of colorectal cancer from inflammatory bowel disease. [ABSTRACT FROM AUTHOR]

Background: Nelore cattle play a key role in tropical production systems due to their resilience to harsh conditions, such as heat stress and seasonally poor nutrition. Monitoring their genetic diversity is essential to manage the negative impacts of inbreeding. Traditionally, inbreeding and inbreeding depression are assessed by pedigree-based coefficients (F), but recently, genetic markers have been preferred for their precision in capturing the inbreeding level and identifying animals at risk of reduced productive and reproductive performance. Hence, we compared the inbreeding and inbreeding depression for productive and reproductive performance traits in Nelore cattle using different inbreeding coefficient estimation methods from pedigree information (FPed), the genomic relationship matrix (FGRM), runs of homozygosity (FROH) of different lengths (> 1 Mb (genome), between 1 and 2 Mb - FROH 1−2; 2–4 Mb FROH 2−4 or > 8 Mb FROH >8) and excess homozygosity (FSNP). Results: The correlation between FPed and FROH was lower when the latter was based on shorter segments (r = 0.15 with FROH 1−2, r = 0.20 with FROH 2−4 and r = 0.28 with FROH 4−8). Meanwhile, the FPed had a moderate correlation with FSNP (r = 0.47) and high correlation with FROH >8 (r = 0.58) and FROH−genome (r = 0.60). The FROH−genome was highly correlated with inbreeding based on FROH>8 (r = 0.93) and FSNP (r = 0.88). The FGRM exhibited a high correlation with FROH−genome (r = 0.55) and FROH >8 (r = 0.51) and a lower correlation with other inbreeding estimators varying from 0.30 for FROH 2−4 to 0.37 for FROH 1−2. Increased levels of inbreeding had a negative impact on the productive and reproductive performance of Nelore cattle. The unfavorable inbreeding effect on productive and reproductive traits ranged from 0.12 to 0.51 for FPed, 0.19–0.59 for FGRM, 0.21–0.58 for FROH−genome, and 0.19–0.54 for FSNP per 1% of inbreeding scaled on the percentage of the mean. When scaling the linear regression coefficients on the standard deviation, the unfavorable inbreeding effect varied from 0.43 to 1.56% for FPed, 0.49–1.97% for FGRM, 0.34–2.2% for FROH−genome, and 0.50–1.62% for FSNP per 1% of inbreeding. The impact of the homozygous segments on reproductive and performance traits varied based on the chromosomes. This shows that specific homozygous chromosome segments can be signs of positive selection due to their beneficial effects on the traits. Conclusions: The low correlation observed between FPed and genomic-based inbreeding estimates suggests that the presence of animals with one unknown parent (sire or dam) in the pedigree does not account for ancient inbreeding. The ROH hotspots surround genes related to reproduction, growth, meat quality, and adaptation to environmental stress. Inbreeding depression has adverse effects on productive and reproductive traits in Nelore cattle, particularly on age at puberty in young bulls and heifer calving at 30 months, as well as on scrotal circumference and body weight when scaled on the standard deviation of the trait. [ABSTRACT FROM AUTHOR]

Background: Research into the genetic diversity of honey bee (Apis melliferaL.) populations has become increasingly significant in recent decades, primarily due to population declines attributed to human activities and climate change. As a species of great importance, breeding programs that leverage understanding of genomic diversity could offer solutions to mitigate these challenges. The objective of this study was to examine the genomic diversity and population structure of Carniolan honey bees (Apis mellifera carnica) using the Illumina SNP chip on a large honey bee sample collected from Central and South-Eastern European countries. The study also aims to offer recommendations for future breeding programs. Results: Our analysis involved Discriminant Analysis of Principal Components (DAPC), heterozygosity, admixture analysis, fixation indices (FST), Neighbour-Joining tree, gene flow and Isolation-by-distance analysis. DAPC indicated distinct separation between the Carniolan and Italian honey bee (Apis mellifera ligustica) populations, whereas the admixture analysis revealed varying levels of gene flow and genetic admixture within the Carniolan honey bee populations, demonstrating closer relationships between specific geographic regions (confirmed by Isolation-by-distance analysis). Furthermore, the research of heterozygosity, genomic inbreeding, pairwise FST values, and Neighbour-Joining tree provided insights into the patterns of genetic differentiation and similarity among the populations of Carniolan honey bee within its natural habitat. We have observed genetic homogeneity of the Carniolan honey bee population when considered in a broader genetic/geographical context. However, the Carniolan honey bee has sufficient genetic diversity in its geographical home range that needs to be carefully monitored and maintained. Conclusions: This study provides important insights into the genetic composition, differentiation, and relationships among Carniolan honey bee populations in Central and South-Eastern European countries. The findings are crucial for conservation efforts, breeding programs, and sustainable beekeeping practices. They emphasise the importance of considering genetic factors and population structure in the breeding and management of honey bees. By understanding these genetic relationships, we can develop strategies to preserve genetic diversity, improve breeding outcomes, and ensure the resilience of honey bee populations in the face of environmental changes and challenges. This knowledge can also inform policy makers and stakeholders on best practices to maintain healthy bee populations, which are vital for ecosystem services and agricultural productivity. [ABSTRACT FROM AUTHOR]

Background: The impact of glucocorticoid use on mortality risk in pneumonia patients remains unclear. This study aimed to investigate the relationship between the accumulated dose of glucocorticoids (ADG) and secondary pneumonia mortality risk among patients receiving oral or intravenous glucocorticoids. Methods: Data from the DRYAD database were analyzed, covering pneumonia patients from six academic hospitals over a 5-year period who had been administered oral or intravenous glucocorticoids. Piecewise linear regression and multivariate regression analysis were utilized to assess the association between ADG and mortality risk in pneumonia patients, while adjusting for potential confounders. Results: Among the 628 pneumonia patients included, the 30-day mortality rate was 23.1% and the 90-day mortality rate was 26.4%. In the high-dose glucocorticoid group (=24 mg/day of methylprednisolone or an equivalent glucocorticoid within 30 days before admission), the 30-day and 90-day mortality rates were 31.2% and 35.9%, respectively. Piecewise linear regression analysis demonstrated a non-linear relationship between ADG and mortality risk in pneumonia patients. Multivariate regression analysis revealed a significantly lower mortality risk in patients receiving an ADG of 20-39 g methylprednisolone compared to those receiving lower (<20 g) or higher doses (=40 g), after adjusting for potential confounding factors. Additionally, in the high-dose glucocorticoid group, surpassing the inflection point of 20 g of methylprednisolone raised the 30-day and 90-day mortality risks (adjusted odds ratio, 95% confidence interval: 1.16, 1.03-1.30 and 1.23, 1.07-1.42, respectively). Notably, this threshold effect was observed exclusively in male patients. Conclusion: This study provides evidence supporting a potential threshold effect between ADG and mortality risk in oral or intravenous glucocorticoid users with secondary pneumonia. Specifically, male patients receiving high-dose glucocorticoids should undergo close monitoring when the ADG of methylprednisolone exceeds 20 g, as it may be associated with an elevated risk of mortality. [ABSTRACT FROM AUTHOR]

Next‐generation sequencing (NGS) has transformed pharmacogenomics (PGx), enabling thorough profiling of pharmacogenes using computational methods and advancing personalized medicine. The Thai Pharmacogenomic Database‐2 (TPGxD‐2) analyzed 948 whole genome sequences, primarily from the Electricity Generating Authority of Thailand (EGAT) cohort. This study is an extension of the previous Thai Pharmacogenomic Database (TPGxD‐1) and specifically focused on 26 non‐very important pharmacogenes (VIPGx) genes. Variant calling was conducted using Sentieon (version 201808.08) following GATK's best workflow practices. We then annotated variant call format (VCF) files using Golden Helix VarSeq 2.5.0. Star allele analysis was performed with Stargazer v2.0.2, which called star alleles for 22 of 26 non‐VIPGx genes. The variant analysis revealed a total of 14,529 variants in 26 non‐VIPGx genes, with TBXAS1 had the highest number of variants (27%). Among the 14,529 variants, 2328 were novel (without rsID), with 87 identified as clinically relevant. We also found 56 known PGx variants among the known variants (n = 12,201), with UGT2B7 (19.64%), CYP1B1 (8.9%), SLCO2B1 (8.9%), and POR (8.9%) being the most common. We reported a high frequency of intermediate metabolizers (IMs) in CYP2F1 (34.6%) and CYP4A11 (8.6%), and a high frequency of decreased functional alleles in POR (53.9%) and SLCO1B3 (34.9%) genes. This study enhances our understanding of pharmacogenomic profiling of 26 non‐VIPGx genes of notable clinical importance in the Thai population. However, further validation with additional computational and reference genotyping methods is necessary, and novel alleles identified in this study should undergo further orthogonal validation. [ABSTRACT FROM AUTHOR]

The cheesemaking industry is increasingly interested in using adjunct cultures with potential aromatic and anticlostridial activities. In this study, 34 Lb. paracasei and 2 Lb. rhamnosus strains were isolated from a semi-hard cheese and characterized for their proteolytic, esterase, and anticlostridial activity. Moreover, the strains were inoculated in a curd-based medium and the volatile compounds in the headspace of samples were evaluated by solid-phase microextraction–GC–MS analysis. Proteolytic activity was present in 30 strains, whereas only one Lb. paracasei strain showed esterase activity. All strains inhibited Cl. sporogenes, Cl. beijerinckii, and Cl. butyricum, and 18 isolates inhibited at least one Cl. tyrobutyricum strain. Principal component analysis and clustering analysis based on the volatilome grouped strains into three groups. One of these groups was characterized by high amounts of acids and esters and clustered with control samples inoculated with commercial starter cultures, suggesting similarity in the aroma profile. Strains belonging to this group with inhibitory effects against Cl. tyrobutyricum might be exploited as autochthonous adjunct cultures for the reduction of late-blowing defects in semi-hard cheeses. [ABSTRACT FROM AUTHOR]

The investigation of the central and external zones of ten industrial and artisanal Maroilles cheeses showed differences in their physicochemical parameters, namely fat, pH, moisture content, ash, and color. This difference significantly impacted the rheological properties of the investigated cheeses, which depended on the protein network englobing lipid and water and its interaction with the other components. Overall, Maroilles cheeses had an elastic-like behavior, with the central zones exhibiting the greatest viscoelastic modules (G′ and G″). The mid-infrared (MIR) spectra highlighted the presence of lipids, proteins, and sugars. A significant difference in α-helix and β-sheet levels in the central zones was noted between artisanal and industrial Maroilles cheeses. It is suggested that the difference between artisanal and industrial Maroilles cheeses observed at the macroscopic level, due to the cheese-making procedure and ripening stage, affects the structure at the molecular level, which can be determined by MIR spectroscopy. This trend was confirmed by the FDA when applied to the MIR spectra, since 96.67% correct classification was noted between artisanal and industrial cheeses. The present study indicates that MIR spectroscopy can be used successfully to study Maroilles cheese samples belonging to different production chains. [ABSTRACT FROM AUTHOR]

Simple Summary: This study focuses on preserving four endangered local sheep breeds in the Italian eastern Alps, reared in small-scale farms. This study aims to assess the nutritional quality of their products (milk and meat) and explore ways to enhance their market value, thus supporting farmers economically. Results indicated that the milk and meat from the four breeds have unique qualities that could be promoted to increase consumer awareness and demand. By developing specific guidelines for the production and marketing of local sheep products, this research helps create a local supply chain based on the positive externalities that local breeds in mountain areas have on the environment. Local sheep breeds in the Italian eastern Alps passed from ex situ to in situ conservation. These breeds are mainly reared by smallholders in low-input farming systems. To allow the sustainable use of genetic resources, the economic sustainability of farmers must be supported through production guidelines. Analyzing meat and milk composition and fatty acid profile, we aimed to characterize their products based on breed and diet to identify tailormade sales strategies. Results showed that both meat and milk have good nutritional values and can benefit from a pasture-based diet, irrespective of the breed. These results support the redaction of production guidelines based on the peculiar characteristics of these breeds: being multi-purpose breeds adapted to mountain areas and to grazing, thus contributing to the conservation of cultural and landscape heritage. [ABSTRACT FROM AUTHOR]

Simple Summary: Various studies have confirmed that the parity, days in milk (DIM), and somatic cell score (SCS) affected the fatty acid contents in milk and the Fourier-transform mid-infrared spectroscopy (FT-MIRS). However, the characteristics of fatty acid group contents predicted by FT-MIRS in Chinese Holstein cows have not been clearly demonstrated. This study employed FT-MIRS data to study the influencing factors and alterations in milk fatty acid contents in Chinese Holstein cows from large-scale dairy farms in Northern China. This study provided new ideas for the expansion of Dairy Herd Improvement laboratory determination indicators in China and the breeding of dairy cows with excellent milk quality. Fatty acid is an important factor affecting the nutritional quality of milk. In this study, we collected and assessed 78,086 milk samples from 12,065 Chinese Holstein cows from 11 farms in Northern China from November 2019 to September 2022. The contents of eight fatty acid groups were predicted using FT-MIRS-based models. The contents of TFAs, SFAs, UFAs, MUFAs, PUFAs, and LCFAs in milk reached the highest at 96–125 DIM, and SCFA and MCFA contents reached the highest at 276–305 DIM. With the increase in somatic cell score, the contents of various fatty acid groups in milk gradually decreased, and the nutritional value of milk and flavor of dairy products gradually deteriorated. The contents of high-quality fatty acids in milk, particularly UFAs and MUFAs, were significantly higher in the non-pregnant state than in the pregnant state. However, SCFA and MCFA contents exhibited the opposite pattern. Our findings provided valuable information on the content and distribution range of fatty acid groups in milk from Chinese Holstein cows. Further analysis is warranted to explore the breeding of Chinese Holstein cows providing milk with abundant beneficial fatty acids. [ABSTRACT FROM AUTHOR]

Surface enhanced Raman spectroscopy (SERS) is meeting the requirements in biomedical science being a highly sensitive and specific analytical tool. By employing portable Raman systems in combination with customized sample pre-treatment, point-of-care-testing (POCT) becomes feasible. Powerful SERS-active sensing surfaces with high stability and modification layers if required are available for testing and application in complex biological matrices such as body fluids, cells or tissues. This review summarizes the current state in sample collection and pretreatment in SERS detection protocols, SERS detection schemes, i.e. direct and indirect SERS as well as targeted and non-targeted SERS, and SERS-active sensing surfaces. Moreover, the recent developments and advances of SERS in biomedical application scenarios, such as infectious diseases, cancer diagnostics and therapeutic drug monitoring is given, which enables the readers to identify the sample collection and preparation protocols, SERS substrates and detection strategies that are best-suited for their specific applications in biomedicine. [ABSTRACT FROM AUTHOR]

Copyright of Science & Technology of Food Industry is the property of Science & Technology of Food Industry Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Systemic lupus erythematosus (SLE) is a prototypic autoimmune disease characterized by loss of tolerance to nuclear antigens. The formation of autoantibodies and the deposition of immune complexes trigger inflammatory tissue damage that can affect any part of the body. In most cases, SLE is a complex disease involving multiple genetic and environmental factors. Despite advances in the treatment of SLE, there is currently no cure for SLE and patients are treated with immunosuppressive drugs with significant side effects. The elucidation of rare monogenic forms of SLE has provided invaluable insights into the molecular mechanisms underlying systemic autoimmunity. Harnessing this knowledge will facilitate the development of more refined and reliable biomarker profiles for diagnosis, therapeutic monitoring, and outcome prediction, and guide the development of novel targeted therapies not only for monogenic lupus, but also for complex SLE. [ABSTRACT FROM AUTHOR]

Colitis‐associated colon cancer (CAC) arises from prolonged inflammation of the inner colon lining. An alternative approach to treating or preventing CAC involves the use of natural products such as Manilkara zapota (L.) P. Royen or M. zapota, which has been studied for its medicinal and pharmacological properties. Previous research has demonstrated the anticancer effects of M. zapota leaf aqueous extract (MZLAE) on colon cancer cells. However, no animal study has investigated the effects of MZLAE on CAC. Therefore, this study aimed to assess the potential anti‐inflammatory effects of MZLAE on CAC in mice. In the present study, CAC was induced using azoxymethane (AOM) and dextran sodium sulphate (DSS). The mice were randomly assigned into five groups: (a) normal, (b) AOM/DSS, (c) AOM/DSS + 50 mg/kg MZLAE, (d) AOM/DSS + 100 mg/kg MZLAE, and (e) AOM/DSS + 200 mg/kg MZLAE. Various parameters including disease activity index (DAI), colon length and weight, reactive oxygen species (ROS), superoxide, superoxide dismutase (SOD), histopathological assessment, and proinflammatory cytokines expression were analysed. The results indicated that MZLAE improved DAI scores, colon length, colon histological dysplasia and inflammation scores, and SOD level, while also reducing ROS production and expression of proinflammatory cytokines (tumour necrosis factor‐alpha (TNF‐ α) and interleukin 6 (IL‐6)). In conclusion, this study suggests that MZLAE may serve as a promising source of antioxidants and anti‐inflammatory agents for alleviating CAC. [ABSTRACT FROM AUTHOR]

Genetic factors influence medication response (pharmacogenetics), affecting the pharmacodynamics and pharmacokinetics of many medicaments used in clinical care. The ability of medications to cross the blood–brain barrier (BBB) represents a critical putative factor in the effectiveness and tolerability of various medications relevant to central nervous system disorders (CNS), cancer, and broader medical conditions at a pharmacokinetic (dosing) level. Pharmacogenetics has the potential to personalise medicine to a greater extent than has been possible, with the potential to help reduce heuristic delays to effective tolerable pharmacotherapy. Here, we critically examine and summarise the evidence, particularly for ABCB1 polymorphisms associated with drug transportation and other clinical relevance. These transporters appear to have a role in BBB pharmacogenetics and may indicate new avenues of research that extend beyond the current paradigm of CYP450 polymorphisms. We identify some of the most promising variants for clinical translation while spotlighting the complexities of the involved systems and limitations of the current empirical literature. [ABSTRACT FROM AUTHOR]

Background: The analysis of morphine in biological samples is pivotal in clinical and forensic toxicology and indicates drug exposure, metabolism, and toxicological profile. Methods: This systematic review explores the recent analytical techniques that have used the detection and quantification of morphine in forensic toxicological investigations. Articles were collected from PubMed, Scopus and Google Scholar electronic databases from 2011 until 30th September 2024. They were searched using a systematic search of English keywords including: "Morphine" OR "Analysis" OR "Analytical techniques" OR "Analytical innovations" OR "Methods" AND "Biological samples" OR "Biological matrices". The selection criteria were based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta- Analyses). Results: From 1200 articles detected in the early systematic search, 30 articles met the inclusion criteria and included in this study. The results showed that the advanced hyphenated analytical methods couple with mass spectrometry (MS) such as Gas Chromatography- Mass Spectrometry (GC-MS), Liquid Chromatography-Mass Spectrometry (LC-MS) and related tandem GC-MS and LC-MS with recent sample preparation methods such as Quick, Easy, Cheap, Effective, Rugged and Safe (QuEChERS) and Dispersive Liquid-Liquid MicroExtraction (DLLME) are the most common analytical methods for detection of morphine in biological samples. Conclusion: Due to increase of morphine abuse as a worldwide concern, use of advanced analytical techniques with high sensitivity and precision in forensic toxicology setting should be recommended. [ABSTRACT FROM AUTHOR]

Colorectal cancer (CRC) represents a significant global health burden, with high incidence and mortality rates worldwide. Recent progress in research highlights the distinct clinical and molecular characteristics of colon versus rectal cancers, underscoring tumor location's importance in treatment approaches. This article provides a comprehensive review of our current understanding of CRC epidemiology, risk factors, molecular pathogenesis, and management strategies. We also present the intricate cellular architecture of colonic crypts and their roles in intestinal homeostasis. Colorectal carcinogenesis multistep processes are also described, covering the conventional adenoma–carcinoma sequence, alternative serrated pathways, and the influential Vogelstein model, which proposes sequential APC, KRAS, and TP53 alterations as drivers. The consensus molecular CRC subtypes (CMS1-CMS4) are examined, shedding light on disease heterogeneity and personalized therapy implications. [ABSTRACT FROM AUTHOR]

The paradigm "one drug fits all" or "one dose fits all" will soon be challenged by pharmacogenetics research and application. Drug response—efficacy or safety—depends on interindividual variability. The current clinical practice does not include genetic screening as a routine procedure and does not account for genetic variation. Patients with the same illness receive the same treatment, yielding different responses. Integrating pharmacogenomics in therapy would provide critical information about how a patient will respond to a certain drug. Worldwide, great efforts are being made to achieve a personalized therapy-based approach. Nevertheless, a global harmonized guideline is still needed. Plasma membrane proteins, like receptor tyrosine kinase (RTK) and G protein-coupled receptors (GPCRs), are ubiquitously expressed, being involved in a diverse array of physiopathological processes. Over 30% of drugs approved by the FDA target GPCRs, reflecting the importance of assessing the genetic variability among individuals who are treated with these drugs. Pharmacogenomics of transmembrane protein receptors is a dynamic field with profound implications for precision medicine. Understanding genetic variations in these receptors provides a framework for optimizing drug therapies, minimizing adverse reactions, and advancing the paradigm of personalized healthcare. [ABSTRACT FROM AUTHOR]

Investigating the complex interactions between microbiota and immunity is crucial for a fruitful understanding progress of human health and disease. This review assesses animal models, next-generation in vitro models, and in silico approaches that are used to decipher the microbiome-immunity axis, evaluating their strengths and limitations. While animal models provide a comprehensive biological context, they also raise ethical and practical concerns. Conversely, modern in vitro models reduce animal involvement but require specific costs and materials. When considering the environmental impact of these models, in silico approaches emerge as promising for resource reduction, but they require robust experimental validation and ongoing refinement. Their potential is significant, paving the way for a more sustainable and ethical future in microbiome-immunity research. [ABSTRACT FROM AUTHOR]

Copyright of Sichuan Mental Health is the property of Sichuan Mental Health Center and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Key Clinical Message: Maintaining good medication adherence is important for providing desirable outcomes from medication therapy. We showed that therapeutic drug monitoring (TDM) contributed to the identification of low medication adherence to cabozantinib in a patient with cancer. We present an educational case to assist with understanding TDM in a patient with cancer. [ABSTRACT FROM AUTHOR]

Artisan goat cheeses (AGCs) from four different producers in Coahuila, Mexico, along with a pasteurized goat cheese (C), were subjected to a comprehensive analysis covering production, chemical, microbiological aspects, and texture. The study aimed to discern the impact of feeding practices, seasonality, and manufacturing technology on their properties. Aspects such as the manufacturing production, chemical composition, microbiological load, and texture characteristics were analyzed. The results highlighted a higher protein content in the cheeses from grazing goats (14.51%), while the highest fat (14.25%) and ash (3.27%) contents were found in the cheeses made during spring from stabled goats. Correlations were noted between the protein content and hardness, as well as the acidity and adhesiveness. Most of the analyzed cheeses showed microbiological levels higher than those allowed by national regulations, with counts ranging from 1 to 7.5 Log cfu g−1 for total coliforms, 2.39 to 7.52 Log cfu g−1 for molds and yeasts, as well as 2.16 to 6.53 Log cfu g−1 for Staphylococcus. The findings of this study offer a comprehensive insight of the effects of feeding practices, seasonality, and manufacturing technology on AGC properties, potentially guiding improvements in both production processes and product quality. [ABSTRACT FROM AUTHOR]