SUMMARY BACKGROUND: This study aimed to investigate the deletion polymorphisms of the genes of the glutathione S-transferase family GSTT1 and GSTM1 in patients with Polycystic Ovarian Syndrome (PCOS), comparing them with a control population. METHODS: Blood was collected from 219 women (110 with PCOS and 109 controls) and genomic DNA was extracted. For the analysis of polymorphisms, the technique used was multiplex PCR. In the statistical analysis, the chi-square test and multiple logistic regression were used. RESULTS: There is no association between the GSTM1 null and GSTT1 null genotypes with PCOS when analyzed separately (P = 0.616 and P = 0.188). The analysis of the combined genotypes showed differences between the groups (P < 0.05), evidencing that the genotypic combination GSTT1 positive and GSTM1 negative is more frequent among patients. In the multivariate analysis, smoking was more frequent in the control group (OR = 0.22; 95% CI - 0.87-0.57; P = 0.002) while the presence of a family history of PCOS (OR = 2, 96; 95% CI - 1.54-5.68; P = 0.001) was more frequent in women with PCOS. CONCLUSIONS: In the studied sample, the deletion polymorphisms of the GSTT1 and GSTM1 genes isolated are not associated with PCOS, but in combination, they may be implicated in the etiology of the condition.

Health professionals working in services providing genetic counseling need objective instruments to assess genetic counseling outcomes and also to "give a voice" to those using these services. Lack of knowledge regarding such outcomes may directly impact the effectiveness and the potential benefits of counseling, quality of life, health promotion, and empowerment of those receiving counseling. There are very few instruments available for most countries, however there are none in Brazil. In this context, this study aimed to adapt and preliminarily validate the Genetic Counseling Outcome Scale (GCOS-24), a Patient-Reported Outcome Measure (PROM), originally developed in British English. This methodological study recruited 278 individuals attending a medical genetic service at a Brazilian university hospital. We performed the translation, back-translation, semantic validation, pilot study and field study for testing of some psychometric properties. The instrument's internal consistency and test-retest reliability (stability) were assessed using Cronbach's alpha coefficient and Intraclass Correlation Coefficient, respectively. The Brazilian version of the GCOS-24 presented face and content validity, satisfactory internal consistency (Cronbach's α=0.71), and moderate stability (ICC=0.52). It was considered reliable, easily understood and relevant to assessing the genetic counseling outcomes for the study participants. Its construct validity still needs to be assessed to verify the instrument's internal structure and its potential use to measure change in empowerment following genetic counseling provided by Brazilian clinical genetics services.

This scoping review aimed to synthesize the best available evidence of the associations between molecular and genetic markers of mitochondrial metabolism and fatigue in human adults. The research question guiding this review was, “Are there potential relationships between mitochondrial metabolism markers and fatigue?” The literature search used three terms (mitochondria; fatigue; energy metabolism), which yielded 263 manuscripts and 22 theses/dissertations. The studies included in the review had to meet three criteria: (1) Include adult participants (≥18 years of age); (2) Show a relationship between mitochondrial energy metabolism and fatigue; (3) Be published in English, Spanish, or Portuguese. Of the 17 articles included for a full-text review, some had a cross-sectional design (6/17, 35%), and more than half (12/17, 70%) were published between 2015 and 2020. The predominant population studied were patients diagnosed with chronic fatigue syndrome (9/17, 53%). Most studies (15/17, 88%) assessed fatigue with validated instruments. Mitochondrial markers associated with fatigue are a) mitochondrial transport pathways and respiratory chain, b) mutations in mitochondrial DNA, and c) energy disorders in cells of the immune system, such as natural killer cells. Mitochondrial metabolic activities, such as the production and transport of ATP, are significant components that may help understand the etiology of fatigue. Future directions should include longitudinal study designs, characterization of fatigue phenotypes, and the identification of markers involved in production and transport pathways. The clinical relevance in this field can lead to interventions targeting mitochondrial markers to reduce or prevent fatigue.