Ferroptosis in Ischemic Stroke and Related Traditional Chinese Medicines.

Stroke is a severe neurological disorder resulting from the rupture or blockage of blood vessels, leading to significant mortality and disability worldwide. Among the different types of stroke, ischemic stroke (IS) is the most prevalent, accounting for 70-80% of cases. Cell death following IS occurs through various mechanisms, including apoptosis, necrosis, and ferroptosis. Ferroptosis, a recently identified form of regulated cell death characterized by iron overload and lipid peroxidation, was first described by Dixon in 2012. Currently, the only approved pharmacological treatment for IS is recombinant tissue plasminogen activator (rt-PA), which is limited by a narrow therapeutic window and often results in suboptimal outcomes. Recent research has identified several traditional Chinese medicines (TCMs) that can inhibit ferroptosis, thereby mitigating the damage caused by IS. This review provides an overview of stroke, the role of ferroptosis in IS, and the potential of certain TCMs to inhibit ferroptosis and contribute to stroke treatment.

Discovery of Novel Antitumor Small-Molecule Agent with Dual Action of CDK2/p-RB and MDM2/p53.

Cell cycle-dependent kinase 2 (CDK2) is located downstream of CDK4/6 in the cell cycle and regulates cell entry into S-phase by binding to Cyclin E and hyper-phosphorylating Rb. Proto-oncogene murine double minute 2 (MDM2) is a key negative regulator of p53, which is highly expressed in tumors and plays an important role in tumorigenesis and progression. In this study, we identified a dual inhibitor of CDK2 and MDM2, III-13, which had good selectivity for inhibiting CDK2 activity and significantly reduced MDM2 expression. In vitro results showed that III-13 inhibited proliferation of a wide range of tumor cells, regardless of whether Cyclin E1 (CCNE1) was overexpressed or not. The results of in vivo experiments showed that III-13 significantly inhibited proliferation of tumor cells and did not affect body weight of mice. The results of the druggability evaluation showed that III-13 was characterized by low bioavailability and poor membrane permeability when orally administered, suggesting the necessity of further structural modifications. Therefore, this study provided a lead compound for antitumor drugs, especially those against CCNE1-amplified tumor proliferation.

Design, synthesis, and biological evaluation of novel molecules as potent inhibitors of PLK1.

Polo-like kinase 1 (PLK1) is an attractive therapeutic target for the treatment of tumors, as it is an essential cell-cycle regulator frequently overexpressed in tumor tissues. PLK1 can promote tumor invasion and metastasis, and is often associated with poor prognosis in cancer patients. However, no PLK1 inhibitor has been granted marketing approval until now. Therefore, more potentially promising PLK1 inhibitors need to be investigated. In this study, a series of novel inhibitors targeting PLK1 was designed and optimized derived from a new scaffold. After synthesis and characterization, we obtained the structure-activity relationship and led to the discovery of the most promising compound 30e for PLK1. The antiproliferative activity against HCT116 cells (IC50 = 5 nM versus 45 nM for onvansertib) and the cellular permeability and efflux ratio were significantly improved (PappA→B = 2.03 versus 0.345 and efflux ratio = 1.65 versus 94.7 for 30e and onvansertib, respectively). Further in vivo studies indicated that 30e had favorable antitumor activity with 116.2% tumor growth inhibition (TGI) in comparison with TGI of 43.0% for onvansertib. Furthermore, 30e improved volume of tumor tissue distribution in mice as compared to onvansertib. This initial study on 30e holds promise for further development of an antitumor agent.

A Method for Image Anomaly Detection Based on Distillation and Reconstruction.

Image anomaly detection is a trending research topic in computer vision. The objective is to build models using available normal samples to detect various abnormal images without depending on real abnormal samples. It has high research significance and value for applications in the detection of defects in product appearance, medical image analysis, hyperspectral image processing, and other fields. This paper proposes an image anomaly detection algorithm based on feature distillation and an autoencoder structure, which uses the feature distillation structure of a dual-teacher network to train the encoder, thus suppressing the reconstruction of abnormal regions. This system also introduces an attention mechanism to highlight the detection objects, achieving effective detection of different defects in product appearance. In addition, this paper proposes a method for anomaly evaluation based on patch similarity that calculates the difference between the reconstructed image and the input image according to different regions of the image, thus improving the sensitivity and accuracy of the anomaly score. This paper conducts experiments on several datasets, and the results show that the proposed algorithm has superior performance in image anomaly detection. It achieves 98.8% average AUC on the SMDC-DET dataset and 98.9% average AUC on the MVTec-AD dataset.

Study on Pharmacokinetics and Metabolic Profiles of Novel Potential PLK-1 Inhibitors by UHPLC-MS/MS Combined with UHPLC-Q-Orbitrap/HRMS.

PLK-1 (Polo-like kinase-1) plays an essential role in cytokinesis, and its aberrant expression is considered to be keenly associated with a wide range of cancers. It has been selected as an appealing target and small-molecule inhibitors have been developed and studied in clinical trials. Unfortunately, most have been declared as failures due to the poor therapeutic response and off-target toxicity. In the present study, a novel potent PLK-1 inhibitor, compound 7a, was designed and synthetized. 1H NMR, 13C NMR, 19F NMR and mass spectrum were comprehensively used for the compound characterization. The compound exhibited higher potency against PLK-1 kinase, HCT-116 and NCI-H2030 cell lines than the positive control. Molecular docking indicated that the binding mode that the ATP binding site of PLK-1 was occupied by the compound. Then, a UHPLC-MS/MS method was established and validated to explore the pharmacokinetic behavior of the drug candidate. The method had good selectivity, high sensitivity and wide linearity. The exposure increased linearly with the dose, but the oral bioavailability was not satisfactory enough. Then, the metabolism was studied using liver microsomes by UHPLC-Q-Orbitrap/HRMS. Our research first studied the pharmacokinetic metabolic characteristics of 7a and may serve as a novel lead compound for the development of PLK-1 inhibitors.

[Clinical features of children with febrile seizures caused by Omicron variant infection]. / Omicronå˜å¼‚æ ªæ„ŸæŸ“å¯¼è‡´å„¿ç«¥çƒ­æ€§æƒŠåŽ¥çš„ä¸´åºŠç‰¹å¾åˆ†æž.

OBJECTIVES: To study the clinical features of children with febrile seizures after Omicron variant infection. METHODS: A retrospective analysis was performed on the clinical data of children with febrile seizures after Omicron variant infection who were admitted to the Department of Neurology, Children's Hospital Affiliated to the Capital Institute of Pediatrics, from December 1 to 31, 2022 (during the epidemic of Omicron variant; Omicron group), and the children with febrile seizures (without Omicron variant infection) who were admitted from December 1 to 31, in 2021 were included as the non-Omicron group. Clinical features were compared between the two groups. RESULTS: There were 381 children in the Omicron group (250 boys and 131 girls), with a mean age of (3.2±2.4) years. There were 112 children in the non-Omicron group (72 boys and 40 girls), with a mean age of (3.5±1.8) years. The number of children in the Omicron group was 3.4 times that in the non-Omicron group. The proportion of children in two age groups, aged 1 to <2 years and 6-10.83 years, in the Omicron group was higher than that in the non-Omicron group, while the proportion of children in two age groups, aged 4 to <5 years and 5 to <6 years, was lower in the Omicron group than that in the non-Omicron group (P<0.05).The Omicron group had a significantly higher proportion of children with cluster seizures and status convulsion than the non-Omicron group (P<0.05). Among the children with recurrence of febrile seizures, the proportion of children aged 6-10.83 years in the Omicron group was higher than that in the non-Omicron group, while the proportion of children aged 3 years, 4 years, and 5 years in the Omicron group was lower than that in the non-Omicron group (P<0.05). CONCLUSIONS: Children with febrile seizures after Omicron variant infection tend to have a wider age range, with an increase in the proportion of children with cluster seizures and status convulsion during the course of fever.

[Clinical features of children with myelin oligodendrocyte glycoprotein antibody-associated disorders].

OBJECTIVE: To study the clinical features and treatment outcome of children with myelin oligodendrocyte glycoprotein (MOG) antibody-associated disorders (MOGAD). METHODS: A retrospective analysis was performed for the clinical data of 28 children with MOGAD (with 38 demyelinating episodes). RESULTS: Among the disease spectrums of 28 children with MOGAD, optic neuritis was the most common (12 cases, 43%), followed by acute disseminated encephalomyelitis (9 cases, 32%). Among the 38 demyelinating episodes in the 28 children, there were 29 cases (76%) of lesions in the acute stage on head magnetic resonance imaging (MRI), and most of these lesions were extensive or isolated subcortical white matter lesions. A total of 24 cases of spinal MRI results in the acute stage were recorded, among which there were 11 cases (46%) of spinal lesions. MRI abnormalities of the optic nerve were found in 18 cases of optic neuritis in the acute stage. Of the 28 children, 20 (71%) had an increase in white blood cell count in cerebrospinal fluid, with lymphocytes as the most common type of cells, and 3 children had an increase in protein. The titer of serum MOG antibody was 1:10-1:320 in the 28 children. All 28 children were administered with glucocorticoids, along with immunoglobulin in 18 children. The symptoms of 26 children (93%) were alleviated during follow-up, and only 2 children had neurological sequela of the optic function. CONCLUSIONS: The clinical manifestations are diverse in children with MOGAD. Immunotherapy is effective and most children have a good prognosis.

Polymorphism rs1052536 in Base Excision Repair Gene Is a Risk Factor in a High-Risk Area of Neural Tube Defects in China.

BACKGROUND DNA Base Excision Repair Gene-DNA LigaseIII (LIG3) is an important repair gene in the repair pathway and plays an important role in maintaining the integrity of mitochondria. Rs1052536 and rs3135967 polymorphisms of the gene are associated with lung cancer, keratoconus, and Fuchs endothelial corneal dystrophy. There is no previously published report on the relationship between the polymorphisms and neural tube defects (NTDs). MATERIAL AND METHODS Mass ARRAY iPLEX was used to determine the distribution of the polymorphisms in the case group of 108 NTD pregnant women and a control group of 233 normal healthy pregnant women to examine the relevance of their polymorphisms and NTD occurrence. RESULTS The homozygotes of rs1052536 TT were associated with an increased risk for NTDs than CC (P=0.014, OR=2.31, 95%CI [1.17-4.54]), and variants of rs1052536 T were associated with an increased risk of NTDs (P=0.024, OR=1.50, 95%CI [1.06-2.13]). The stratified analysis showed that TT genotype of rs1052536 increased the risk of anencephaly (P=0.016, OR=2.69, 95%CI [1.18-6.10]) and the T allele significantly increased the risk of cranial NTDs (P=0.033, OR=1.56, 95%CI [1.04-2.35]). CONCLUSIONS Rs1052536 in LIG3 gene might be a potential genetic risk factor in a high-risk area of NTDs in China.

[A comparative analysis of anti-N-methyl-D-aspartate receptor encephalitis with or without abnormal findings on cranial magnetic resonance imaging].

OBJECTIVE: To investigate the clinical features of children with anti-N-methyl-D-aspartate receptor (anti-NMDAR) encephalitis with normal or abnormal cranial magnetic resonance imaging (MRI) findings via a comparative analysis. METHODS: A retrospective analysis was performed for the clinical data of 33 children with anti-NMDAR encephalitis. The clinical features and prognosis were compared between the children with normal and abnormal cranial MRI findings. RESULTS: In the 33 children with anti-NMDAR encephalitis, the most common initial symptoms were seizures (61%) and involuntary movement (61%), followed by language disorder (54%), mental and behavioral abnormalities (52%), and disturbance of consciousness (30%). All children had positive anti-NMDAR antibody in the cerebrospinal fluid, and 29 children (88%) had positive serum antibody. Of all the children, 15 (46%) had increased leukocytes in the cerebrospinal fluid, 3 (9%) had an increase in protein, and 29 (88%) had positive oligoclonal band; 26 children (79%) had electroencephalographic abnormalities (epileptic wave, slow wave, or a combination of these two types of waves). One child experienced respiratory failure. One child was found to have germinoma in the sellar region during follow-up. Of all the 33 children, 13 (39%) had abnormal cranial MRI findings, with hypointensity or isointensity on T1W1 and hyperintensity on T2WI and T2-FLAIR; 2 children had dural enhancement. As for the location of lesion, 5 children (38%) had lesions in the temporal lobe, 3 (23%) in the frontal lobe, 3 (23%) in the basal ganglia, 2 (15%) in the parietal lobe, 2 (15%) in the occipital lobe, 2 (15%) in the brainstem, 1 (8%) in the thalamus, and 1 (8%) in the cerebellum. Among the 13 children with abnormal cranial MRI findings, 5 (38%) had lesions mainly in the grey matter and 8 (62%) had lesions mainly in the white matter. Compared with the children with normal cranial MRI findings, the children with abnormal cranial MRI findings had significantly higher proportion of children with prodromal infection, incidence rate of disturbance of consciousness, probability of recurrence, Glasgow score, incidence rate of increased leukocytes in the cerebrospinal fluid, and application rate of second-line treatment (P<0.05). CONCLUSIONS: Children with anti-NMDAR encephalitis and abnormal cranial MRI findings have certain clinical features, which may provide guidance for the evaluation of disease conditions and the selection of diagnostic and treatment measures.

The discovery of tetrahydropyridine analogs as hNav1.7 selective inhibitors for analgesia.

hNav1.7 small molecular inhibitors have attracted lots of attention by its unique analgesic effect. Herein, we report the design and synthesis of a novel series of tetrahydropyridine analogs as hNav1.7 inhibitors for analgesia. Detail structural-activity relationship (SAR) studies were undertaken towards improving hNav1.7 activity, in vitro ADME, and in vivo PK profiles. These efforts resulted in the identification of compound (-)-15h, a highly potent and selective hNav1.7 inhibitor with good ADME and PK profiles.

Discovery of aminocyclohexene analogues as selective and orally bioavailable hNav1.7 inhibitors for analgesia.

hNav1.7 receives a lot of attention owing to its attractive mechanism of action in pain processing pathway. We have previously reported our design of a novel series of tetrahydropyridine analogues towards hNav1.7 selective inhibitors. Herein, we disclose further efforts to the optimization of hit compound (-)-6, which led to the identification of aminocyclohexene analogues (-)-9 and (-)-17 with good potency, high selectivity, and minimal CYP inhibition. Both compounds (-)-9 and (-)-17 demonstrated improved pharmacokinetic profiles in rats, and robust efficacy in rat formalin-induced nociception and spinal nerve ligation (SNL) models.

[Epileptic electroencephalogram recognition based on discrete S transform and permutation entropy].

Electroencephalogram(EEG) analysis has important reference value in the diagnosis of epilepsy. The automatic classification of epileptic EEG can be used to judge the patient's situation in time,which is of great significance in clinical application. In order to solve the problem that the recognition accuracy is not high by using the single feature of EEG signals and avoid the influence of wavelet basis function selection on recognition results,a method of automatic discrimination of epileptic EEG signals based on S transform and permutation entropy is proposed. Firstly, the original signals are decomposed by discrete S transform, and then we calculate the fluctuation index of coefficients of each rhythm and combine the permutation entropy of EEG signals into a feature vector and use Real AdaBoost classifier to discriminate the epileptic EEG signals in muti-period. In this study, we used the epilepsy database from University of Bonn. Three groups of EEG signals, including the data of normal people with their eyes open, the data collected inside of the epileptic foci from patients during their interictal period and the data during their ictal period, were used to test effectiveness. The results of this study showed that the fluctuation index of each rhythm could be used to characterize the normal, interictal and ictal epileptic EEG signals effectively, and the recognition accuracy of multiple features was much higher than that of single feature. The average recognition accuracy could reach 98.13%. Compared with time-frequency feature extraction method or nonlinear feature extraction method only,the recognition accuracy was increased by more than 1.2% and 8.1% respectively, which was superior to the methods recorded in many other literatures. Therefore, this method has a good application prospect in diagnosis of epilepsy.

[Automatic Epileptic Electroencephalogram Detection during Normal,Interictal and Ictal Periods Combining Feature Extraction Based on Sample Entropy and Wavelet Packet Energy with Real AdaBoost Algorithm].

Electroencephalogram(EEG)analysis has been widely used in disease diagnosis.The EEG detection of the patients with epilepsy can be used to make judgments about patients' conditions in time,which is of great practical value.Therefore,the techniques of automatic detection,diagnosis and classification of epileptic EEG signals are urgently needed.In order to realize fast and accurate automatic detection and classification of the EEG signals during the normal,interictal and ictal periods of epilepsy,we propose an automatic classification and recognition method which combines the Real Adaboost algorithm based on error-correcting output codes(ECOC)with a feature extraction method based on sample entropy(SampEn)and wavelet packet energy in this paper.In the present study,we used the sample entropy of input signals and the energy of some parts of frequency bands as features,and then we classified the extracted features with the method combining ECOC with Real AdaBoost algorithm.In order to test the validity,we used the epilepsy database from the University of Bonn.The database has 5groups of EEG signals,which contains the data of normal people with their eyes open or closed,the data collected inside and outside of the epileptic foci from patients during their interictal period and the data from patients during their ictal period.The results showed that the method had strong abilities of classification and recognition of the EEG signals,and especially the recognition rate had been improved significantly.The average recognition rate of the EEG signals with different features during the three periods of the five groups mentioned above can reach 96.78%,which is superior to those with algorithms recorded in many other literatures.The method has better stability,processing speed and potential of real-time application,and it plays a supporting role in the prediction and detection of epilepsy in clinical practice.

NSK-01105 inhibits proliferation and induces apoptosis of prostate cancer cells by blocking the Raf/MEK/ERK and PI3K/Akt/mTOR signal pathways.

The purposes of this study are to investigate the antitumor activities of NSK-01105, a novel sorafenib derivative, in in vitro and in vivo models, and explore the potential mechanisms. The effects of NSK-01105 on proliferation and apoptosis of prostate cancer cells were established by cytotoxicity assays, apoptosis analysis, flow cytometry analysis, and Western blot analysis. Two xenograft tumor models were used to verify the therapeutic effect of NSK-01105 in vivo. NSK-01105 exhibited broad-spectrum antitumor activity, particularly in prostate cancer cells. Characterization of apoptosis morphology was observed, and the percentage of apoptosis-positive cells significantly increased after NSK-01105 treatment for 24 h. Furthermore, a significant increase of the "sub-G1" population in LNCaP and PC-3 cells after NSK-01105 treatment was determined by cell cycle analysis. Tumor growth was significantly suppressed by once daily oral 30 mg/kg dose of NSK-01105 with the inhibition rates of 63.82% in LNCaP models and 64.29% in PC-3 models, respectively. The activation of Raf-1 kinase and epidermal growth factor receptor was downregulated by NSK-01105 at 10 µmol/L. Consequently, the dual inhibitions of Raf/MEK/ERK and PI3K/Akt/mTOR signal pathways were observed by Western blot analysis. Collectively, our results suggest a role of NSK-01105 in treatment for human prostate tumors by inhibiting cell proliferation and inducing apoptosis. NSK-01105 appears to be a promising orally active anticancer drug and deserves further investigation.

Rational modifications on champion porphyrin dye using different electron-withdrawing moieties toward high performance dye-sensitized solar cells.

Ten porphyrin sensitizers with different electron-withdrawing groups derived from the best sensitizer SM315 were investigated by means of the density functional theory (DFT) and time-dependent DFT calculations. To this end, major factors affecting the performance of the cell, including light harvesting, electron injection, dye regeneration, and conduction band energy shift are taken into consideration. Especially, the calculated distance (r) from the electron recapture center to the semiconductor surface is used to probe the charge recombination process. In addition, considering the complexity of the porphyrin sensitizers' absorption, the maximum short circuit current density (J(max)sc) is determined for investigating the light harvesting ability quantitatively. We find that when compared to SM315 with 2,1,3-benzothiadiazole, 1 with naphtho[1,2-c:5,6-c]bis[1,2,5]thiadiazole shows better performance due to both larger J(max)sc and r, and 7 with diketopyrrolopyrrole could also be a promising candidate due to the much larger J(max)sc and comparable r.

A designed bithiopheneimide-based conjugated polymer for organic photovoltaic with ultrafast charge transfer at donor/PC(71)BM interface: theoretical study and characterization.

In the current work, a series of bithiopheneimide (BTI)-based D-A copolymers were investigated based on the reported PDTSBTI (1) to screen excellent molecules toward organic photovoltaic (OPV) donor materials. It is found that the PCE based on the proposed derivative 4, where the silicon atom is replaced with vinyl and cyano groups on the DTS unit, shows a 70 percent improvement by Scharber diagrams compared with its prototype 1. Then, the charge transfer dynamics of 1/PC71BM and 4/PC71BM were investigated, including the intermolecular charge transfer (inter-CT) and recombination (inter-CR) rates. The theoretical data demonstrate that the ratio kinter-CT/kinter-CR of 4/PC71BM heterojunction is about 1 × 10(5) times higher than that of 1/PC71BM. These results clearly reveal that the designed donor molecule 4 will be a promising candidate for high-performance OPV device. We expect that this work from electron processing at the D/A interface may provide a theoretical guideline for further optimization and design of organic copolymer donor materials.

Clinical characteristics and genetic analysis of children with Omicron BF.7.14 type novel coronavirus-related acute necrotizing encephalopathy.

Background: To explore the clinical characteristics, etiological factors, and clinical-related genetic variant of children with acute necrotizing encephalopathy (ANE) related to the Omicron BF.7.14 novel coronavirus. Methods: Genomic variations were detected through whole exome sequencing. Additionally, we summarized the clinical data to explore the inheritance patterns associated with novel coronavirus-related ANE. Results: This study included four patients (2 males and 2 females) with an average age of 2.78 ± 1.93 years. All the patients had prodromal symptoms of Omicron BF.7.14 virus infection, and exhibited symptoms such as altered consciousness, seizures and cognitive/language disturbances. Cranial MRI scans revealed damage to the thalamus, basal ganglia and brainstem. The cerebrospinal fluid (CSF) cell counts were nearly normal, but protein level in CSF increased significantly. Genetic analysis revealed a novel truncated variant of CRMP2 gene in one patient who suffered more severe coma score and prognosis and dead in the later stages. All children exhibited a decrease in the absolute count of T lymphocytes, helper T cells, suppressor T cells, and NK cells to varying degrees. Furthermore, levels of cytokines, including IL-1 ß, IL-5, IL-6 and IL-8 were significantly elevated in the CSF, especially in patient with truncated variant of CRMP2 gene. Conclusion: The Omicron BF.7.14 type novel coronavirus can lead to ANE, characterized by T cell immunosuppression and a significant increase in cytokine levels in the CSF. The truncated variation of CRMP2 gene may affect the prognosis of ANE by affecting the migration of cerebral T cells.

Personality traits as predictors for treatment response to sertraline among unmedicated obsessive-compulsive Disorder: A 12-weeks retrospective longitudinal study.

The effectiveness of selective serotonin reuptake inhibitors (SSRIs) as a primary treatment for obsessive-compulsive disorder (OCD) remains uncertain. Even after undergoing standard SSRIs treatment, 40%-60% of individuals with OCD persistently endure symptoms. Recent studies proposed that personality traits may influence the diversity of OCD treatment results. Thus, in this retrospective study, we evaluated the Eysenck Personality Questionnaire (EPQ) scores of 51 untreated patients with OCD and 35 healthy controls. The Yale-Brown Obsessive Compulsive Scale (Y-BOCS) was employed to assess OCD symptom severity at weeks 0, 2, 4, 8, and 12 of sertraline treatment. The primary outcome focused on the reduction rate of Y-BOCS scores (response: ≥25%; marked response: ≥50%). Our findings revealed that individuals with OCD demonstrated a significantly higher neuroticism score compared to healthy controls. Correlation analyses exposed a positive link between psychoticism and the duration of the disease. Moreover, family history strongly correlated with both obsessive thoughts and the total Y-BOCS score. Subsequent univariate Cox proportional analyses indicated that both low neuroticism and high extraversion traits could forecast the response to sertraline. Furthermore, only a high extraversion trait was linked to a marked response. Our results support the idea that personality traits may contribute to OCD vulnerability and predict sertraline treatment outcomes.

Novel selective agents for the degradation of AR/AR-V7 to treat advanced prostate cancer.

The androgen receptor AR antagonists, such as enzalutamide and apalutamide, are efficient therapeutics for the treatment of prostate cancer (PCa). Even though they are effective at first, resistance to both drugs occurs frequently. Resistance is mainly driven by aberrations of the AR signaling pathway including AR gene amplification and the expression of AR splice variants (e.g. AR-V7). This highlights the urgent need for alternative therapeutic strategies. Here, a total of 24 compounds were synthesized and biologically evaluated to disclose compound 20i, exhibiting potent AR antagonistic activities (IC50 = 172.85 ± 21.33 nM), promising AR/AR-V7 protein degradation potency, and dual targeting site of probably AR (ligand-binding domain, LBD and N-terminal domain, NTD). It potently inhibits cell growth with IC50 values of 4.87 ± 0.52 and 2.07 ± 0.34 µM in the LNCaP and 22RV1 cell lines, respectively, and exhibited effective tumor growth inhibition (TGI = 50.9 %) in the 22RV1 xenograft study. These data suggest that 20i has the potential for development as an AR/AR-V7 inhibitor with degradation ability to treat advanced prostate cancer.

The effectiveness of vortioxetine on neurobiochemical metabolites and cognitive of major depressive disorders patients: A 8-week follow-up study.

OBJECTIVE: Vortioxetine has been shown to improve cognitive performance in people with depression. This study will look at the changes in neurobiochemical metabolites that occur when vortioxetine improves cognitive performance in MDD patients, with the goal of determining the neuroimaging mechanism through which vortioxetine improves cognitive function. METHODS: 30 depressed patients and 30 demographically matched healthy controls (HC) underwent MCCB cognitive assessment and 1H-MRS. After 8 weeks of vortioxetine medication, MCCB and 1H-MRS tests were retested in the MDD group. Before and after therapy, changes in cognitive performance, NAA/Cr, and Cho/Cr were examined in the MDD group. RESULTS: Compared with the HC group, the MDD group had significant reduced in verbal learning, social cognition, and total cognition (all p < 0.05). And the MDD group had lower NAA/Cr in Right thalamus and Left PFC; the Cho/Cr in Right thalamus was lower than HC; the Cho/Cr in Left ACC had significantly increase (all p < 0.05). The MDD group showed significant improvements in the areas of verbal learning, attention/alertness, and total cognitive function before and after Vortioxetine treatment (all p < 0.05). The NAA/Cr ratio of the right PFC before and after treatment (t = 2.338, p = 0.026) showed significant changes. CONCLUSIONS: Vortioxetine can enhance not just the depression symptoms of MDD patients in the initial period, but also their verbal learning, social cognition, and general cognitive capacities after 8 weeks of treatment. Furthermore, vortioxetine has been shown to enhance cognitive function in MDD patients by altering NAA/Cr and Cho/Cr levels in the frontal-thalamic-ACC.