Sepsis is an organ dysfunction caused by an uncontrolled inflammatory response from the host to an infection. Sepsis is the main cause of morbidity and mortality in intensive care units (ICU) worldwide. One of the first organs to suffer from injuries resulting from sepsis is the brain. The central nervous system (CNS) is particularly vulnerable to damage, mediated by inflammatory and oxidative processes, which can cause the sepsis-associated encephalopathy (SAE), being reported in up to 70% of septic patients. This review aims to bring a summary of the main pathophysiological changes and dysfunctions in SAE, and the main focuses of current experimental studies for new treatments and therapies. The pathophysiology of SAE is complex and multifactorial, combining intertwined processes, and is promoted by countless alterations and dysfunctions resulting from sepsis, such as inflammation, neuroinflammation, oxidative stress, reduced brain metabolism, and injuries to the integrity of the blood-brain barrier (BBB). The treatment is limited once its cause is not completely understood. The patient's sedation is far to provide an adequate treatment to this complex condition. Studies and experimental advances are important for a better understanding of its pathophysiology and for the development of new treatments, medicines, and therapies for the treatment of SAE and to reduce its effects during and after sepsis. Keywords Sepsis . Encephalopathy . Experimental studies . Brain Abbreviations SAE Sepsis-associated encephalopathy ICU Intensive care units CNS Central nervous system BBB Blood-brain barrier TNF-α Necrosis factor alpha IL Interleukins CSF Cerebrospinal fluid ROS Reactive oxygen species NO Nitric oxide RNS Reactive nitrogen species H 2 O 2 Hydrogen peroxide O 2 .

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Fibroadenomas are the most common benign breast tumors, occurring mainly in young women. Their responses to the hormonal environment are similar to those of normal breast tissue, which suggests that steroid receptors may play a role in tumor development. We evaluated the gene and protein expression of progesterone receptors A and B (PRA and PRB) and the protein expression of estrogen receptor alpha (ER-alpha) in fibroadenoma samples, comparing with adjacent normal breast tissue, from 11 premenopausal women. Progesterone and estradiol levels were determined. No alterations in the PRs gene and protein expression and the ER-alpha protein expression were observed between the follicular and luteal phases, in normal breast versus fibroadenomas. Protein levels of PRA and PRB were higher in fibroadenomas compared to normal breast tissue (P = 0.038 and P = 0.031), while the PRs mRNA levels were similar in both tissues (P = 0.721 and P = 0.139). There were no differences in ER-alpha protein expression between normal breast tissue and fibroadenomas (P = 0.508). The PRA:PRB ratio was similar in the tissues, and also showed a strong correlation in both (r = 0.964, P = 0.0001). Our data suggest a role of PRs in the growth and development of fibroadenomas, although without alterations of the PRA:PRB ratio in these tumors. The absence of alterations in ER-alpha protein levels could be a characteristic behavior of fibroadenomas, unlike breast cancer.

Selection of reference genes to normalize mRNA levels between samples is critical for gene expression studies because their expression can vary depending on the tissues or cells used and the experimental conditions. We performed ten cell cultures from samples of prostate cancer. Cells were divided into three groups: control (with no transfection protocol), cells transfected with siRNA specific to knockdown the androgen receptor and cells transfected with inespecific siRNAs. After 24 h, mRNA was extracted and gene expression was analyzed by Real-time qPCR. Nine candidates to reference genes for gene expression studies in this model were analyzed (aminolevulinate, delta-, synthase 1 (ALAS1); beta-actin (ACTB); beta-2-microglobulin (B2M); glyceraldehyde-3-phosphate dehydrogenase (GAPDH); hypoxanthine phosphoribosyltransferase 1 (HPRT1); succinate dehydrogenase complex, subunit A, flavoprotein (Fp) (SDHA); TATA box binding protein (TBP); ubiquitin C (UBC); tyrosine 3-monooxygenase/tryptophan 5-monooxygenase activation protein, zeta polypeptide (YWHAZ)). Expression stability was calculated NormFinder algorithm to find the most stable genes. NormFinder calculated SDHA as the most stable gene and the gene with the lowest intergroup and intragroup variation, and indicated GAPDH and SDHA as the best combination of two genes for the purpose of normalization. Androgen receptor mRNA expression was evaluated after normalization by each candidate gene and showed statistical difference in the transfected group compared to control group only when normalized by combination of GAPDH and SDHA. Based on the algorithm analysis, the combination of SDHA and GAPDH should be used to normalize target genes mRNA levels in primary culture of prostate cancer cells submitted to transfection with siRNAs.