Bis{1-[(1H-benzimidazol-1-yl)methyl-κN 3]-1H-1,2,3,4-tetra­zole}silver(I) nitrate

In the title salt, [Ag(C9H8N6)2]NO3, the central AgI atom is linearly coordinated by the N atoms [171.97 (8)°] from two 1-[(benzimidazol-1-yl)meth­yl]-1H-1,2,3,4-tetra­zole ligands. The benzimidazole rings in adjacent mol­ecules are parallel with an average inter­planar distance of 3.461 Å; adjacent mol­ecules are linked through N—H⋯O hydrogen bonds into a linear chain along the b-axis direction

catena-Poly[[(acetato-κ2 O,O′)(methanol-κO)cadmium(II)]-μ-[1,2-bis­(1H-benzimid­azol-2-yl)ethane]-κ2 N 3:N 3′-[(acetato-κ2 O,O′)(methanol-κO)cadmium(II)]-di-μ-chlorido]

In the title complex, [Cd2(CH3COO)2Cl2(C16H14N4)(CH3OH)2]n, the CdII atom is six-coordinated by one N atom from a centrosymmetric bridging 1,2-bis­(2,2′-1H-benzimidazol-2-yl)ethane (bbe) ligand, two O atoms from a chelating acetate ligand, one O atom from a methanol mol­ecule and two bridging Cl atoms in a distorted octa­hedral geometry. The CdII atoms are connected alternately by the Cl atoms and bbe ligands, leading to a chain along [001]. These chains are further linked by O—H⋯O hydrogen bonds. Intra­chain N—H⋯O hydrogen bonds are observed

Development and validation of a nomogram predictive model for cognitive impairment in cerebral small vessel disease: a comprehensive retrospective analysis

BackgroundCerebral small vessel disease (CSVD) is a common neurodegenerative condition in the elderly, closely associated with cognitive impairment. Early identification of individuals with CSVD who are at a higher risk of developing cognitive impairment is crucial for timely intervention and improving patient outcomes.ObjectiveThe aim of this study is to construct a predictive model utilizing LASSO regression and binary logistic regression, with the objective of precisely forecasting the risk of cognitive impairment in patients with CSVD.MethodsThe study utilized LASSO regression for feature selection and logistic regression for model construction in a cohort of CSVD patients. The model’s validity was assessed through calibration curves and decision curve analysis (DCA).ResultsA nomogram was developed to predict cognitive impairment, incorporating hypertension, CSVD burden, apolipoprotein A1 (ApoA1) levels, and age. The model exhibited high accuracy with AUC values of 0.866 and 0.852 for the training and validation sets, respectively. Calibration curves confirmed the model’s reliability, and DCA highlighted its clinical utility. The model’s sensitivity and specificity were 75.3 and 79.7% for the training set, and 76.9 and 74.0% for the validation set.ConclusionThis study successfully demonstrates the application of machine learning in developing a reliable predictive model for cognitive impairment in CSVD. The model’s high accuracy and robust predictive capability provide a crucial tool for the early detection and intervention of cognitive impairment in patients with CSVD, potentially improving outcomes for this specific condition

Acetato­chlorido[2,2′-(ethane-1,2-di­yl)di-1H-benzimidazole]­copper(II) monohydrate

In the title complex, [Cu(CH3COO)Cl(C16H14N4)]·H2O, the CuII ion is five-coordinated by two N atoms from a 2,2′-(ethane-1,2-di­yl)di-1H-benzimidazole ligand, two O atoms from a chelating acetate ligand and one terminal monodentate Cl atom in a distorted square-pyramidal geometry. In the crystal, adjacent mol­ecules are linked through O—H⋯Cl, N—H⋯Cl, N—H⋯O and O—H⋯O hydrogen bonds into a three-dimensional network

Original Article Glycyrrhizic acid inhibits leukemia cell growth and migration via blocking AKT/mTOR/STAT3 signaling

Abstract: Glycyrrhizic acid (GA) is the bioactive compound of licorice and has been used as an herbal medicine because of its anti-viral, anti-cancer, and anti-inflammatory properties. This study was designed to investigate the effects of GA on leukemia cells growth, migration, and the mechanisms underlying the anti-cancer activities of GA. MTT test was used to detect the effect of GA on TF-1 leukemia cell growth. Wound closure assay and Transwell were adopted to assess the effect of GA on TF-1 migration and invasion. Migration and invasion related proteins including AKT and mTOR were detected by western blot assay. We further used western blot and immunofluorescence assay to evaluate the effect of GA on STAT3 phosphorylation in vitro. We also evaluated the anti-tumor effect of GA in TF-1 tumor bearing BALB/c mice model. The present study showed GA significant inhibit of TF-1 proliferation in a dose and time-dependent manner. GA could remarkably inhibit TF-1 cell migration and invasion; meanwhile effectively suppress AKT, mTOR, and STAT3 phosphorylation in TF-1 cells. GA in 100 mg/kg/ could inhibit the tumor growth in vivo and down-regulated AKT, mTOR, and STAT3 phosphorylation in TF-1 tumor tissues. Our findings suggest that GA is a promising therapeutic agent for leukemia that targets the AKT/mTOR/STAT3 pathway

Superconductivity Induced by Site-Selective Arsenic Doping in Mo5_5Si3_3

Arsenic doping in silicides has been much less studied compared with phosphorus. In this study, superconductivity is successfully induced by As doping in Mo$_5$Si$_3$. The superconducting transition temperature ($T_c$) reaches 7.7 K, which is higher than those in previously known W$_5$Si$_3$-type superconductors. Mo$_5$Si$_2$As is a type-II BCS superconductor with upper and lower critical fields of 6.65 T and 22.4 mT, respectively. In addition, As atoms are found to selectively take the 8$h$ sites in Mo$_5$Si$_2$As. The emergence of superconductivity is possibly due to the shift of Fermi level as a consequence of As doping, as revealed by the specific heat measurements and first-principles calculations. Our work provides not only another example of As doping, but also a practical strategy to achieve superconductivity in silicides through Fermi level engineering.Comment: Supporting Information available at the corresponding DO

SPECIFIC NEUROPROTECTIVE EFFECTS OF MANUAL STIMULATION OF REAL ACUPOINTS VERSUS NON-ACUPOINTS IN RATS AFTER MIDDLE CEREBRAL ARTERY OCCLUSION

The objective of this study was to investigate the effectiveness and specific effects of acupuncture on ischemic-induced damage in rats after permanent middle cerebral artery occlusion. Cerebral ischemia was induced by middle cerebral artery occlusion in male Wistar rats. The rats were divided into the following 4 groups: normal controls, ischemic, real acupuncture-treated (Shuigou, DU26), and non-acupoint-treated groups. On the third postoperative day, neurological deficit scores, cerebral blood flow, infarction volume, and neuronal cell death counts were measured. In the real acupuncture-treated group, the neurological deficit scores and cerebral blood flow were improved (p < 0.05) and the infarction volume and neuronal cell death counts were reduced (p < 0.01) compared to the ischemic and non-acupoint-treated groups. The present study demonstrated that real acupuncture was effective against focal ischemia-induced damage in rats after middle cerebral artery occlusion, and the effects were specifically related to the right needling location

Tumor Necrosis Factor-α Induced Protein 8 Polymorphism and Risk of Non-Hodgkin’s Lymphoma in a Chinese Population: A Case-Control Study

BACKGROUND: Non-Hodgkin's lymphoma (NHL) has been reported to be associated with autoimmune and pro-inflammatory response, and genetic polymorphisms of candidate genes involved in autoimmune and pro-inflammatory response may influence the susceptibility to NHL. To evaluate the role of such genetic variations in risk of NHL, we conducted a case-control study of 514 NHL patients and 557 cancer-free controls in a Chinese population. METHOD: We used the Taqman assay to genotype six potentially functional single nucleotide polymorphisms (SNPs) in six previously reported inflammation and immune-related genes (TNF rs1799964T>C, LTA rs1800683G>A, IL-10 rs1800872T>G, LEP rs2167270G>A, LEPR rs1327118C>G, TNFAIP8 rs1045241C>T). Logistic regression models were used to estimate odds ratios (ORs) and 95% confidence intervals (95% CI). RESULTS: We observed a significantly increased risk of NHL associated with the TNFAIP8 rs1045241C>T polymorphism (adjusted OR = 3.03; 95% CI = 1.68-5.45 for TT vs. CC and adjusted OR = 2.03; 95% CI = 1.53-2.69 for CT/TT vs. CC). The risk associated with the T allele was more evident in subgroups of 40-60 year-old, non-smokers or light-smokers (less than 25 pack-years), and subjects with normal weight or overweight. Risk for both B and T cell non-Hodgkin's lymphoma was elevated for CT/TT genotypes (adjusted OR = 1.95, 95% CI = 1.41-2.70 for B cell NHL and adjusted OR = 2.22, 95% CI = 1.49-3.30 for T cell NHL), particularly for DLBCL (adjusted OR = 2.01, 95%CI = 1.41-2.85) and FL (adjusted OR = 2.53, 95% CI = 1.17-5.45). These risks were not observed for variant genotypes of other five SNPs compared with their common homozygous genotypes. CONCLUSIONS: The polymorphism of TNFAIP8 rs1045241C>T may contribute to NHL susceptibility in a Chinese population. Further large-scale and well-designed studies are needed to confirm these results

Redox memristors with volatile threshold switching behavior for neuromorphic computing

The spiking neural network (SNN), closely inspired by the human brain, is one of the most powerful platforms to enable highly efficient, low cost, and robust neuromorphic computations in hardware using traditional or emerging electron devices within an integrated system. In the hardware implementation, the building of artificial spiking neurons is fundamental for constructing the whole system. However, with the slowing down of Moore’s Law, the traditional complementary metal-oxide-semiconductor (CMOS) technology is gradually fading and is unable to meet the growing needs of neuromorphic computing. Besides, the existing artificial neuron circuits are complex owing to the limited bio-plausibility of CMOS devices. Memristors with volatile threshold switching (TS) behaviors and rich dynamics are promising candidates to emulate the biological spiking neurons beyond the CMOS technology and build high-efficient neuromorphic systems. Herein, the state-of-the-art about the fundamental knowledge of SNNs is reviewed. Moreover, we review the implementation of TS memristor-based neurons and their systems, and point out the challenges that should be further considered from devices to circuits in the system demonstrations. We hope that this review could provide clues and be helpful for the future development of neuromorphic computing with memristors

Strong-Coupling Superconductivity with TcT_c ∼\sim 10.8 K Induced by P Doping in the Topological Semimetal Mo5_5Si3_3

By performing P doping on the Si sites in the topological semimetal Mo$_5$Si$_3$, we discover strong-coupling superconductivity in Mo$_5$Si$_{3-x}$P$_x$ (0.5 $\le$ $x$ $\le$ 2.0). Mo$_5$Si$_3$ crystallizes in the W$_5$Si$_3$-type structure with space group of $I4/mcm$ (No. 140), and is not a superconductor itself. Upon P doping, the lattice parameter $a$ decreases while $c$ increases monotonously. Bulk superconductivity is revealed in Mo$_5$Si$_{3-x}$P$_x$ (0.5 $\le$ $x$ $\le$ 2.0) from resistivity, magnetization, and heat capacity measurements. $T_c$ in Mo$_5$Si$_{1.5}$P$_{1.5}$ reaches as high as 10.8 K, setting a new record among the W$_5$Si$_3$-type superconductors. The upper and lower critical fields for Mo$_5$Si$_{1.5}$P$_{1.5}$ are 14.56 T and 105 mT, respectively. Moreover, Mo$_5$Si$_{1.5}$P$_{1.5}$ is found to be a fully gapped superconductor with strong electron-phonon coupling. First-principles calculations suggest that the enhancement of electron-phonon coupling is possibly due to the shift of the Fermi level, which is induced by electron doping. The calculations also reveal the nontrivial band topology in Mo$_5$Si$_3$. The $T_c$ and upper critical field in Mo$_5$Si$_{3-x}$P$_x$ are fairly high among pseudobinary compounds. Both of them are higher than those in NbTi, making future applications promising. Our results suggest that the W$_5$Si$_3$-type compounds are ideal platforms to search for new superconductors. By examinations of their band topologies, more candidates for topological superconductors can be expected in this structural family.Comment: 15 pages, 5 figures. Supplementary Information availabe at the corresponding DO