Jacobsonrohde7366

The Syringae Folium (SF), noted in Chinese Pharmacopeia, has been used in herbal medicines to treat inflammatory diseases and its water extract of SF, Yanlixiao (YLX) which is commercial preparation traditional Chinese medicine has been widely used clinically against intestinal inflammations. To explore its therapeutic material basis of SF, an effective fraction from SF (ESF) was found out by bio-guided isolation and enrichment of active components. In this research, ESF was identified as the anti-inflammatory fraction by comparing the survival rate of LPS-induced inflammation mouse model. The in vivo anti-inflammation efficacy of ESF was further tested by mouse ear edema model. Fifteen main components of ESF were separated from ESF after identification by UPLC-TOF-MS, and their inhibition on lipopolysaccharide (LPS)-induced nitric oxide (NO) production was tested along with ESF in RAW 264.7 macrophages cell line. Aiming to search its anti-inflammation mechanisms, the network pharmacology study was performed based on the main active components. As results, ESF was found with better efficacy in inhibiting ear swelling (82.2 mg/kg, 43.7%) compared with YLX (293.3 mg/kg, 37.9%). Meanwhile, the main ESF components, luteolin and quercetin were found with significant efficacy in reducing NO production compared with aminoguanidine (positive control) (81.3%, 78.7% and 76.3%, respectively, 50 μg/ml). Analysis of network pharmacology also suggested that luteolin and quercetin could be the key components for the anti-inflammation activity of ESF, and NFKB1, RELA, AKT1, TNF and PIK3CG were identified as key targets and MAPK, NF-κB, TCR and TLRs signaling pathways could be involved in the anti-inflammation action of ESF. The results attained in this study indicated that ESF had the potential to be developed as an anti-inflammation agent applied in clinic. Recent findings suggest a bidirectional relationship between preferences and choices such that what is chosen can become preferred. Yet, it is still commonly held that preferences for individual items are maintained, such as caching a separate value estimate for each experienced option. Instead, we propose that all possible choice options and preferences are represented in a shared, continuous, multidimensional space that supports generalization. Decision making is cast as a learning process that seeks to align choices and preferences to maintain coherency. We formalized an error-driven learning model that updates preferences to align with past choices, which makes repeating those and related choices more likely in the future. The model correctly predicts that making a free choice increases preferences along related attributes. For example, after choosing a political candidate based on trivial information (e.g., they like cats), voters' views on abortion, immigration, and trade subsequently shifted to match their chosen candidate. OBJECTIVE To investigate how high frequency oscillations (HFOs; ripples 80-250 Hz, fast ripples (FRs) 250-500 Hz) and spikes in intra-operative electrocorticography (ioECoG) relate to cognitive outcome after epilepsy surgery in children. METHODS We retrospectively included 20 children who were seizure free after epilepsy surgery using ioECoG and determined their intelligence quotients (IQ) pre- and two years postoperatively. We analyzed whether the number of HFOs and spikes in pre- and postresection ioECoGs, and their change in the non-resected areas relate to cognitive improvement (with ≥ 5 IQ points increase considered to be clinically relevant (=IQ+ group) and  less then  5 IQ points as irrelevant (=IQ- group)). RESULTS The IQ+ group showed significantly more FRs in the resected tissue (p = 0.01) and less FRs in the postresection ioECoG (p = 0.045) compared to the IQ- group. Postresection decrease of ripples on spikes was correlated with postoperative cognitive improvement (correlation coefficient = -0.62 with p = 0.01). CONCLUSIONS Postoperative cognitive improvement was related to reduction of pathological HFOs signified by removing FR generating areas with subsequently less residual FRs, and decrease of ripples on spikes in the resection edge of the non-resected area. Fluvastatin in vivo SIGNIFICANCE HFOs recorded in ioECoG could play a role as biomarkers in the prediction and understanding of cognitive outcome after epilepsy surgery. V.BACKGROUND & OBJECTIVES Previous research shows that difficulty disengaging from negative (self-related) stimuli (i.e. negative self-referential processing; NSP) is a vulnerability factor for depression (Gotlib & Joormann, 2010) and contributes to its recurrence (LeMoult, Kircanski, Prasad, & Gotlib, 2017). The Emotional Reversal Learning Task (ERLT) was designed to investigate this, and we examined its construct validity by inducing social rejection, an etiological process of depression, within the ERLT model. We expected excluded participants to have difficulty disengaging from NSP. METHODS We administered Cyberball to 130 participants randomly assigned to the excluded or included condition. Participants then completed the ERLT They chose a valence option (positive or negative), retrieved a memory of the same valence, and then were rewarded or punished for their valence choice. For the first phase, retrieving a negative memory was probabilistically rewarded, and this action-outcome contingency was twice reversed during the task. We used Q-learning models to analyze learning rates. RESULTS Excluded participants had no more difficulty disengaging from NSP than included participants Bayesian computational modeling identified no difference between conditions regarding learning that retrieving negative memories was punished. Exploratory analyses found that excluded participants learned the association between retrieving positive memories and reward quicker than included participants, however. LIMITATIONS Doubts remain regarding whether participants fully understood action-outcome contingencies, and we did not explicitly check whether participants truly retrieved memories, which could have affected results. CONCLUSIONS We did not find support for the construct validity of the ERLT when using social exclusion to model depressogenic development within the ERLT.