Brazilian autoimmune encephalitis network (BrAIN): antibody profile and clinical characteristics from a multicenter study.

Background: The frequency of antibodies in autoimmune encephalitis (AIE) may vary in different populations, however, data from developing countries are lacking. To describe the clinical profile of AIE in Brazil, and to evaluate seasonality and predictors of AIE in adult and pediatric patients. Methods: We evaluated patients with possible AIE from 17 centers of the Brazilian Autoimmune Encephalitis Network (BrAIN) between 2018 and 2022. CSF and serum were tested with TBAs and CBAs. Data on clinical presentation, complementary investigation, and treatment were compiled. Seasonality and predictors of AIE in adult and pediatric populations were analyzed. Results: Of the 564 patients, 145 (25.7%) were confirmed as seropositive, 69 (12.23%) were seronegative according to Graus, and 58% received immunotherapy. The median delay to diagnosis confirmation was 5.97 ± 10.3 months. No seasonality variation was observed after 55 months of enrolment. The following antibodies were found: anti-NMDAR (n=79, 54%), anti-MOG (n=14, 9%), anti-LGI1(n=12, 8%), anti-GAD (n=11, 7%), anti-GlyR (n=7, 4%), anti-Caspr2 (n=6, 4%), anti-AMPAR (n=4, 2%), anti-GABA-BR (n=4, 2%), anti-GABA-AR (n=2, 1%), anti-IgLON5 (n=1, 1%), and others (n=5, 3%). Predictors of seropositive AIE in the pediatric population (n=42) were decreased level of consciousness (p=0.04), and chorea (p=0.002). Among adults (n=103), predictors of seropositive AIE were movement disorders (p=0.0001), seizures (p=0.0001), autonomic instability (p=0.026), and memory impairment (p=0.001). Conclusion: Most common antibodies in Brazilian patients are anti-NMDAR, followed by anti-MOG and anti-LGI1. Only 26% of the possible AIE patients harbor antibodies, and 12% were seronegative AIE. Patients had a 6-month delay in diagnosis and no seasonality was found. Findings highlight the barriers to treating AIE in developing countries and indicate an opportunity for cost-effect analysis. In this scenario, some clinical manifestations help predict seropositive AIE such as decreased level of consciousness, chorea, and dystonia among children, and movement disorders and memory impairment among adults.

Intermittent PTH1-34 causes DNA and chromosome breaks in osteoblastic and nonosteoblastic cells.

Toxicological studies have demonstrated that intermittent PTH1-34 treatment is associated with an increased incidence of osteosarcoma in Fischer 344 rats. Comet and micronucleus (MN) tests, standard methods to evaluate genotoxic potential of drugs, were used to detect DNA and chromosome breaks, respectively, after PTH1-34 treatment. MC3T3 cells, primary osteoblast calvarial cells, and human osteoblasts were treated with PTH1-34 (50 and 100 nM) for 6 h/day for 21 days to mimic intermittent administration. Genotoxic assays were performed at 6 h and 7, 14, and 21 days. Osteoblasts extracted from bone marrow of mice treated with daily subcutaneous PTH1-34 injections (20 and 40 µg/kg) for 10 weeks as well as Hep-2, HeLa, and Hep-G2 cells were also tested. We observed a significant increase in DNA lesions and MN prevalence in human and murine osteoblasts treated with PTH1-34 compared to controls (P < 0.01). The effect observed in vitro and confirmed in vivo was time- and dose-dependent. For nonosteoblastic Hep-2 and HeLa cells we observed increased DNA damage and MN prevalence only later in the course of the protocol, after 21 days of treatment (P < 0.01). In Hep-G2 cells intermittent PTH1-34 did not induce DNA damage or chromosome breaks. Our results demonstrated that intermittent PTH increases DNA and chromosome breaks in osteoblasts. This genotoxic effect is attenuated in nonosteoblastic cells, and the ability to induce DNA damage is lost in cells with detoxification properties (HepG2 cells) tested in vitro.

The generation and utilization of a cancer-oriented representation of the human transcriptome by using expressed sequence tags.

Whereas genome sequencing defines the genetic potential of an organism, transcript sequencing defines the utilization of this potential and links the genome with most areas of biology. To exploit the information within the human genome in the fight against cancer, we have deposited some two million expressed sequence tags (ESTs) from human tumors and their corresponding normal tissues in the public databases. The data currently define approximately 23,500 genes, of which only approximately 1,250 are still represented only by ESTs. Examination of the EST coverage of known cancer-related (CR) genes reveals that <1% do not have corresponding ESTs, indicating that the representation of genes associated with commonly studied tumors is high. The careful recording of the origin of all ESTs we have produced has enabled detailed definition of where the genes they represent are expressed in the human body. More than 100,000 ESTs are available for seven tissues, indicating a surprising variability of gene usage that has led to the discovery of a significant number of genes with restricted expression, and that may thus be therapeutically useful. The ESTs also reveal novel nonsynonymous germline variants (although the one-pass nature of the data necessitates careful validation) and many alternatively spliced transcripts. Although widely exploited by the scientific community, vindicating our totally open source policy, the EST data generated still provide extensive information that remains to be systematically explored, and that may further facilitate progress toward both the understanding and treatment of human cancers.