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Background: Infertility is a major health issue, affecting 15% of reproductive-age couples with male factors contributing to 50% of cases. Asthenozoospermia (AS), or low sperm motility, is a common cause of male infertility with complex aetiology, involving genetic and metabolic alterations, inflammation and oxidative stress. However, the molecular mechanisms behind low motility are unclear. In this study, we used a metabolomics approach to identify metabolic biomarkers and pathways involved in sperm motility., Methods: We compared the metabolome and lipidome of spermatozoa of men with normozoospermia (n = 44) and AS (n = 22) using untargeted LC-MS and the metabolome of seminal fluid using 1 H-NMR. Additionally, we evaluated the seminal fluid redox status to assess the oxidative stress in the ejaculate., Results: We identified 112 metabolites and 209 lipids in spermatozoa and 27 metabolites in the seminal fluid of normozoospermic and asthenozoospermic men. PCA analysis of the spermatozoa's metabolomics and lipidomics data showed a clear separation between groups. Spermatozoa of asthenozoospermic men presented lower levels of several amino acids, and increased levels of energetic substrates and lysophospholipids. However, the metabolome and redox status of the seminal fluid was not altered inAS., Conclusions: Our results indicate impaired metabolic pathways associated with redox homeostasis and amino acid, energy and lipid metabolism in AS. Taken together, these findings suggest that the metabolome and lipidome of human spermatozoa are key factors influencing their motility and that oxidative stress exposure during spermatogenesis or sperm maturation may be in the aetiology of decreased motility in AS., (© 2024 Stichting European Society for Clinical Investigation Journal Foundation. Published by John Wiley & Sons Ltd.)

Objective: To determine fetal death rates (FDRs) according to maternal characteristics in Brazil., Methods: A serial cross-sectional analysis was conducted based on vital statistics of the Brazilian population from 2007 to 2019. FDRs were estimated according to maternal and pregnancy characteristics. Annual percent change (APC) of FDR was assessed by joinpoint regression model. Causes of death were compared between the ante-/intrapartum periods., Results: A significant reduction in FDR occurred in Brazil during 2007-2019 (11.1 and 10.43 in 2007 and 2019, respectively; APC -0.44). Only the northern region showed an increase in FDR. In 2019, the northeast and southeast had the highest and lowest FDRs, respectively (11.4 and 7.8/1000 live births). In adolescents, FDR increased from 2007 to 2016 (APC 1.75). In 2019, missing information was significantly high for maternal skin color (99.7%), schooling (17.0%), and age (7.0%) in fetal death registries. The most common causes of fetal death in the ante-/intrapartum periods were fetus and newborn affected by maternal conditions., Conclusion: A reduction in FDR has been achieved in Brazil over the last decade. However, there is an unmet need for decreasing social and regional disparities. A better system to attribute causes of death is needed to identifying priorities in maternal-fetal health care., (© 2022 International Federation of Gynecology and Obstetrics.)

Diabetic kidney disease (DKD) is one of the most prevalent comorbidities of diabetes mellitus and the leading cause of the end-stage renal disease (ESRD). DKD results from chronic exposure to hyperglycemia, leading to progressive alterations in kidney structure and function. The early development of DKD is clinically silent and when albuminuria is detected the lesions are often at advanced stages, leading to rapid kidney function decline towards ESRD. DKD progression can be arrested or substantially delayed if detected and addressed at early stages. A major limitation of current methods is the absence of albuminuria in non-albuminuric phenotypes of diabetic nephropathy, which becomes increasingly prevalent and lacks focused therapy. Metabolomics is an ever-evolving omics technology that enables the study of metabolites, downstream products of every biochemical event that occurs in an organism. Metabolomics disclosures complex metabolic networks and provide knowledge of the very foundation of several physiological or pathophysiological processes, ultimately leading to the identification of diseases' unique metabolic signatures. In this sense, metabolomics is a promising tool not only for the diagnosis but also for the identification of pre-disease states which would confer a rapid and personalized clinical practice. Herein, the use of metabolomics as a tool to identify the DKD metabolic signature of tubule interstitial lesions to diagnose or predict the time-course of DKD will be discussed. In addition, the proficiency and limitations of the currently available high-throughput metabolomic techniques will be discussed., (© 2022 Wiley Periodicals LLC.)

There is a widespread misconception that only maternal variables affect in utero development. Epigenetic markers carried by the spermatozoon are transmitted to the zygote. Sperm-born epigenetic factors influence in utero development, for various generations. Acquired traits of metabolic disease can be inherited by the offspring via the male gamete. Health assessment of future fathers is essential to predict the offspring's health., (© 2021 Stichting European Society for Clinical Investigation Journal Foundation. Published by John Wiley & Sons Ltd.)

Objective: To explore a conceptual framework of clinical conditions associated with preterm birth (PTB) by cluster analysis, assessing determinants for different PTB subtypes and related maternal and neonatal outcomes., Methods: Secondary analysis of the Brazilian Multicentre Study on Preterm Birth of 33 740 births in 20 maternity hospitals between April 2011 and July 2012. In accordance with a prototype concept based on maternal, fetal, and placental conditions, an adapted k-means model and fuzzy algorithm were used to identify clusters using predefined conditions. The mains outcomes were phenotype clusters and maternal and neonatal outcomes., Results: Among 4150 PTBs, three clusters of PTB phenotypes were identified: women who had PTB without any predefined conditions; women with mixed conditions; and women who had pre-eclampsia, eclampsia, HELLP syndrome and fetal growth restriction. The prevalence of different preterm subtypes differed significantly in the three clusters, varying from 80.95% of provider-initiated PTBs in cluster 3-6.62% in cluster 1 (P<0.001). Although some maternal characteristics differed among the clusters, maternal and neonatal outcomes did not., Conclusions: The analysis identified three clusters with distinct phenotypes. Women from the different clusters had different subtypes of PTB and maternal and pregnancy characteristics., (© 2019 The Authors. International Journal of Gynecology & Obstetrics published by John Wiley & Sons Ltd on behalf of International Federation of Gynecology and Obstetrics.)

Objective: To evaluate prenatal corticosteroid use in women experiencing spontaneous preterm labor and preterm delivery., Methods: The present cross-sectional multicenter study analyzed interview data from patients attending 20 hospitals in Brazil owing to preterm delivery between April 1, 2011 and July 30, 2012. Patients were stratified based on preterm delivery occurring before 34 weeks or at 34-36 +6  weeks of pregnancy, and the frequency of prenatal corticosteroid use at admission was compared. Prenatal corticosteroid use, sociodemographic data, obstetric characteristics, and neonatal outcomes were examined., Results: There were 1455 preterm deliveries included in the present study; 527 (36.2%) occurred before 34 weeks of pregnancy and prenatal corticosteroids were used in 285 (54.1%) of these pregnancies. Among neonates delivered at 32-33 +6  weeks, prenatal corticosteroid use was associated with lower pneumonia (P=0.026) and mortality (P=0.029) rates. Among neonates delivered at 34-36 +6  weeks, prenatal corticosteroid use was associated with longer neonatal hospital admission (P<0.001), and an increased incidence of 5-minute Apgar scores below 7 (P=0.010), endotracheal intubation (P=0.042), surfactant use (P=0.006), neonatal morbidities (P=0.048), respiratory distress (P=0.048), and intraventricular hemorrhage (P=0.023)., Conclusion: Preterm labor and late preterm delivery were associated with worse neonatal outcomes following prenatal corticosteroids. This could reflect a sub-optimal interval between administration and delivery., (© 2017 International Federation of Gynecology and Obstetrics.)

Otto Warburg observed that cancerous cells prefer fermentative instead of oxidative metabolism of glucose, although the former is in theory less efficient. Since Warburg's pioneering works, special attention has been given to this difference in cell metabolism. The Warburg effect has been implicated in cell transformation, immortalization, and proliferation during tumorigenesis. Cancer cells display enhanced glycolytic activity, which is correlated with high proliferation, and thus, glycolysis appears to be an excellent candidate to target cancer cells. Nevertheless, little attention has been given to noncancerous cells that exhibit a "Warburg-like" metabolism with slight, but perhaps crucial, alterations that may provide new directions to develop new and effective anticancer therapies. Within the testis, the somatic Sertoli cell (SC) presents several common metabolic features analogous to cancer cells, and a clear "Warburg-like" metabolism. Nevertheless, SCs actively proliferate only during a specific time period, ceasing to divide in most species after puberty, when they become terminally differentiated. The special metabolic features of SC, as well as progression from the immature but proliferative state, to the mature nonproliferative state, where a high glycolytic activity is maintained, make these cells unique and a good model to discuss new perspectives on the Warburg effect. Herein we provide new insight on how the somatic SC may be a source of new and exciting information concerning the Warburg effect and cell proliferation., (© 2014 Wiley Periodicals, Inc.)

Background and Purpose: Metformin is commonly used to treat type 2 diabetes (T2D). While new clinical applications have been ascribed to metformin, including treatment of anovulatory infertility, its effects on male reproduction have not been investigated. The Sertoli cell (SC) is crucial for germ cell development, exerting metabolic control of spermatogenesis, therefore, we investigated the effects of metformin on SC metabolism., Experimental Approach: Rat SCs were cultured in the absence and presence of metformin (5, 50 and 500 μM). mRNA and protein levels of glucose transporters (GLUT1 and GLUT3), phosphofructokinase 1 (PFK 1), lactate dehydrogenase (LDH) and monocarboxylate transporter 4 (MCT4) were determined by quantitative PCR and Western blot respectively. LDH activity was assessed and metabolite production/consumption determined by (1) H-NMR., Key Results: Metformin (50 μM) decreased mRNA and protein levels of GLUT1, GLUT3, MCT4 and PFK 1 but did not affect LDH mRNA or protein levels. However, although glucose consumption was maintained in metformin-treated cells, LDH activity, lactate and alanine production were increased, indicating an enhanced glycolytic flux. No metabolic cytotoxicity was detected in SCs exposed to supra-pharmacological concentration of metformin., Conclusions and Implications: Our results indicate that metformin: (i) decreases mRNA and protein levels of glycolysis-related transporters in SCs but increases their activity; and (ii) stimulates alanine production, which induces antioxidant activity and maintains the NADH/NAD(+) equilibrium. The increased lactate in metformin-treated SCs provides nutritional support and has an anti-apoptotic effect in developing germ cells. Thus, metformin can be considered as a suitable antidiabetic drug for male patients of reproductive age with T2D., (© 2013 The British Pharmacological Society.)