catena-Poly[[[aqua(7-hydroxy-2H-1-benzopyran-2-one)sodium]-di-μ-aqua] 2-oxo-2H-1-benzopyran-7-olate monohydrate]

The asymmetric unit of the title compound, {[Na(C9H6O3)(H2O)3](C9H5O3)·H2O}n, contains two crystallographically independent Na atoms, two 7-hy­droxy­coumarin ligands, six coordinated water mol­ecules, two 7-hy­droxy­coumarin anions and two uncoordinated water mol­ecules. Both Na atoms exhibit a distorted octa­hedral coordination geometry and are coordinated by five water O atoms and the terminal O atom from a 7-hy­droxy­coumarin ligand. Four of the water mol­ecules are bridging, whereas the fifth is terminal. Na—O bond distances are in the range 2.288 (2)–2.539 (2) Å. In the chains, extending parallel to [100], adjacent Na atoms are separated by 3.60613 (7) Å. The uncoordinated water mol­ecules and 7-hy­droxy­coumarin phenolate anions are located between the chains and are hydrogen bonded to the chains

Design, Synthesis, and Pharmacological Evaluation of Haloperidol Derivatives as Novel Potent Calcium Channel Blockers with Vasodilator Activity

Several haloperidol derivatives with a piperidine scaffold that was decorated at the nitrogen atom with different alkyl, benzyl, or substituted benzyl moieties were synthesized at our laboratory to establish a library of compounds with vasodilator activity. Compounds were screened for vasodilatory activity on isolated thoracic aorta rings from rats, and their quantitative structure–activity relationships (QSAR) were examined. Based on the result of QSAR, N-4-tert-butyl benzyl haloperidol chloride (16c) was synthesized and showed the most potent vasodilatory activity of all designed compounds. 16c dose-dependently inhibited the contraction caused by the influx of extracellular Ca2+ in isolated thoracic aorta rings from rats. It concentration-dependently attenuated the calcium channel current and extracellular Ca2+ influx, without affecting the intracellular Ca2+ mobilization, in vascular smooth muscle cells from rats. 16c, possessing the N-4-tert-butyl benzyl piperidine structure, as a novel calcium antagonist, may be effective as a calcium channel blocker in cardiovascular disease

Development of ISO Standard for Real-Time Polymerase Chain Reaction Detection of Turkey-Derived Material

In this study, the specific fragment of turkey chromosome Z-DNA sequence was selected as the target sequence for turkey-derived material detection. A real-time polymerase chain reaction (real-time PCR) method was established, which had good interspecies specificity and interspecies consistency. The target sequence was cloned into the plasmid pUC57, and after being diluted to different concentrations, the plasmid was tested by real-time PCR. The absolute detection limit of this method was 5 copies/PCR reaction. An international collaborative validation trial was conducted to validate this method. The results showed that the false positive and negative rates of the proposed method were both 0%, and the absolute detection limit was 5 copies/PCR reaction. The results of qualitative analysis of the diluted plasmid showed that the inter-laboratory standard deviation was 0.30, less than the maximum permitted value of 1; at a detection probability of 95%, the absolute detection limit was 3.2 copies/PCR reaction, less than the maximum allowable value of 20 copies/PCR reaction. Based on voting results and reviewers’ comments, this method was approved by the International Organization for Standardization (ISO) as an international standard method (ISO/TS 20224-8:2022)

Neural Mechanisms With Respect to Different Paradigms and Relevant Regulatory Factors in Empathy for Pain

Empathy for pain is thought to activate the affective-motivational components of the pain matrix, which includes the anterior insula and middle and anterior cingulate cortices, as indicated by functional magnetic resonance imaging and other methodologies. Activity in this core neural network reflects the affective experience that activates our responses to pain and lays the neural foundation for our understanding of our own emotions and those of others. Furthermore, although picture-based paradigms can activate somatosensory components of directly experienced pain, cue-based paradigms cannot. In addition to this difference, the two paradigms evoke other distinct neuronal responses. Although the automatic “perception-action” model has long been the dominant theory for pain empathy, a “bottom-up, top-down” mechanism seems to be more comprehensive and persuasive. Indeed, a variety of factors can regulate the intensity of empathy for pain through “top-down” processes. In this paper, we integrate and generalize knowledge regarding pain empathy and introduce the findings from recent studies. We also present ideas for future research into the neural mechanisms underlying pain empathy

Effects of Transplanting Bone Marrow Stromal Cells Transfected with CXCL13 on Fracture Healing of Diabetic Rats

Background/Aims: Diabetic fracture have poor treatment and serious complications. Therefore, how to treat diabetic fracture is receiving increasing attention. This study aimed to investigate the effects of transplanting CXCL13-stimulated bone marrow stromal cells (BMSCs) on the fracture healing in diabetic rats. Methods: In vitro, RT-PCR was employed to examine the expression of CXCL13 in BMSCs in high glucose environment. MTT assay and apoptosis assay were utilized to determine the effects of CXCL13 overexpression on the proliferation and apoptosis of BMSCs respectively. ALP staining was applied to detect the ALP activity. In vivo, CXCL13-stimulated BMSCs were transplanted into the fracture sites of diabetic rats. At the 1st week, 2nd weeks, 4th week and 6th week after the operation, bone mineral density (BMD) and callus area measurement, ELISA detection, and HE staining were performed to evaluate the fracture healing. Results: Low BMD and less area of callus in diabetic rats showed that the recovery after fracture was worse in diabetic rats than in non-diabetic rats. Meanwhile, the expression of CXCL13 in serum was lower in diabetic rats than in non-diabetic rats. Overexpression of CXCL13 promoted the proliferation of BMSCs in vitro high glucose environment. After BMSCs transfected with CXCL13 being transplanted into the fracture sites of diabetic rats, it was found that the fracture healing was enhanced and ALP expression in serum became higher. HE staining results further verified the effects of transplantation of BMSCs transfected with CXCL13 on fracture healing in diabetic rats. Conclusion: These finding indicated that CXCL13 may play a critical role in the process of fracture healing, which could provide a deeper insight into molecular targets for the fracture healing in diabetic people

Expression in A. thaliana and cellular localization reveal involvement of BjNRAMP1 in cadmium uptake

Although Brassica juncea has demonstrated potential as a hyperaccumulator crop, it was not entirely clear how cadmium (Cd) accumulates in plants. Here, we found that BjNRAMP1 (Natural Resistance-Associated Macrophage Protein 1) plays a crucial role in the accumulation of Cd and manganese (Mn) through its expression in yeast and Arabidopsis thaliana. The high concentration of Cd exposure could induce the expression of BjNRAMP1. The ectopic expression of BjNRAMP1 in yeast led to higher accumulation of Cd and Mn compared to the vector control. BjNARAMP1 was localized to the plasma membrane and expressed in the vascular system of roots, leaves, and flowers. The overexpression of BjNRAMP1 in A. thaliana resulted in an increased accumulation of Cd in both roots and shoots, which inhibited the normal growth of transgenic lines. Moreover, Mn uptake in roots was activated by the increase in Cd stress. Together, our results indicated that BjNRAMP1 significantly contributes to the uptake of Mn and Cd in B. juncea

The Yin-Yang Property of Chinese Medicinal Herbs Relates to Chemical Composition but Not Anti-Oxidative Activity: An Illustration Using Spleen-Meridian Herbs

“Yin-Yang” and “Five Elements” theories are the basis theories of Traditional Chinese Medicine (TCM). To probe and clarify the theoretical basis of these ancient Chinese wisdoms, extensive efforts have been taken, however, without a full success. In the classification of TCM herbs, hot, cold and neutral herbs are believed to possess distinct profile of chemical compositions of which the compounds should have different polarity and mass: this view provides a new perspective for further illustration. To understand the chemical properties of TCMs in the classification of “Yin-Yang” and “Five Elements,” 15 commonly used herbs attributed to spleen-meridian were selected for analyses. Chemically standardized water extracts, 50% ethanol extracts and 90% ethanol extracts were prepared and subjected to different analytic measurements. Principle component analysis (PCA) of full spectrum of HPLC, NMR and LC-MS of the extracts were established. The results revealed that the LC-MS profile showed a strong correlation with the “Yin-Yang” classification criterion. The Yang-stimulating herbs generally contain more compounds with lower molecular weight and less polar property. Additionally, a comprehensive anti-oxidative profiles of selected herbs were developed, and the results showed that its correlation with cold and hot properties of TCM, however, was rather low. Taken together, the “Yin-Yang” nature of TCM is closely related to the physical properties of the ingredients, such as polarity and molecular mass; while such classification has little correlation with anti-oxidative property. Therefore, the present results provide a new direction in probing the basic principle of TCM classification

A review of innovation-based methods to jointly estimate model and observation error covariance matrices in ensemble data assimilation

Data assimilation combines forecasts from a numerical model with observations. Most of the current data assimilation algorithms consider the model and observation error terms as additive Gaussian noise, specified by their covariance matrices Q and R, respectively. These error covariances, and specifically their respective amplitudes, determine the weights given to the background (i.e., the model forecasts) and to the observations in the solution of data assimilation algorithms (i.e., the analysis). Consequently, Q and R matrices significantly impact the accuracy of the analysis. This review aims to present and to discuss, with a unified framework, different methods to jointly estimate the Q and R matrices using ensemble-based data assimilation techniques. Most of the methodologies developed to date use the innovations, defined as differences between the observations and the projection of the forecasts onto the observation space. These methodologies are based on two main statistical criteria: (i) the method of moments, in which the theoretical and empirical moments of the innovations are assumed to be equal, and (ii) methods that use the likelihood of the observations, themselves contained in the innovations. The reviewed methods assume that innovations are Gaussian random variables, although extension to other distributions is possible for likelihood-based methods. The methods also show some differences in terms of levels of complexity and applicability to high-dimensional systems. The conclusion of the review discusses the key challenges to further develop estimation methods for Q and R. These challenges include taking into account time-varying error covariances, using limited observational coverage, estimating additional deterministic error terms, or accounting for correlated noise