Identification and investigation of depression-related molecular subtypes in inflammatory bowel disease and the anti-inflammatory mechanisms of paroxetine

BackgroundUp to 40 per cent of people with active inflammatory bowel disease (IBD) also suffer from mood disorders such as anxiety and depression. Notwithstanding, the fundamental biological pathways driving depression in IBD remain unknown.MethodsWe identified 33 core genes that drive depression in IBD patients and performed consensus molecular subtyping with the NMF algorithm in IBD. The CIBERSORT were employed to quantify the immune cells. Metabolic signature was characterized using the “IOBR” R package. The scoring system (D. score) based on PCA. Pre-clinical models are constructed using DSS.ResultsUsing transcriptome data from the GEO database of 630 IBD patients, we performed a thorough analysis of the correlation between IBD and depression in this research. Firstly, the samples were separated into two different molecular subtypes (D. cluster1 and D. cluster2) based on their biological signatures. Moreover, the immunological and metabolic differences between them were evaluated, and we discovered that D. cluster2 most closely resembled IBD patients concomitant with depression. We also developed a scoring system to assess the IBD-related depression and predict clinical response to anti-TNF- therapy, with a higher D. score suggesting more inflammation and worse reaction to biological therapies. Ultimately, we also identified through animal experiments an antidepressant, paroxetine, has the added benefit of lowering intestinal inflammation by controlling microorganisms in the digestive tract.ConclusionsThis study highlights that IBD patients with or without depression show significant variations and antidepressant paroxetine may help reduce intestinal inflammation

Comprehensively Characterizing the Cytological Features of Saccharum spontaneum by the Development of a Complete Set of Chromosome-Specific Oligo Probes

Chromosome-specific identification is a powerful technique in the study of genome structure and evolution. However, there is no reliable cytogenetic marker to unambiguously identify each of the chromosomes in sugarcane (Saccharum spp., Poaceae), which has a complex genome with a high level of ploidy and heterozygosity. In this study, we developed a set of oligonucleotide (oligo)-based probes through bioinformatic design and massive synthetization. These probes produced a clear and bright single signal in each of the chromosomes and their eight homologous chromosomes in the ancient species Saccharum spontaneum (2n = 8x = 64). Thus, they can be used as reliable markers to robustly label each of the chromosomes in S. spontaneum. We then obtained the karyotype data and established a nomenclature based on chromosomal sizes for the eight chromosomes of the octoploid S. spontaneum. In addition, we also found that the 45S and 5S rDNAs demonstrated high copy number variations among different homologous chromosomes, indicating a rapid evolution of the highly repeated sequence after polyploidization. Our fluorescence in situ hybridization (FISH) assay also demonstrated that these probes could be used as cross-species markers between or within the genera of Sorghum and Saccharum. By comparing FISH analyses, we discovered that several chromosome rearrangement events occurred in S. spontaneum, which might have contributed to the basic chromosome number reduction from 10 in sorghum to 8 in sugarcane. Consistent identification of individual chromosomes makes molecular cytogenetic study possible in sugarcane and will facilitate fine chromosomal structure and karyotype evolution of the genus Saccharum

Polarizable force fields based on physical models and quantum chemical calculations

Nonpolarizable force fields cannot guarantee the accurate calculation of optical dielectric constants. The parameterization of polarizable FFs is not trivial, but electrostatics approaches, like the FQ model, Drude model, and the ID model, as well as fragment-based low-scaling QM methods show great potential in the hands of the community of developers.This perspective gives a brief overview of recent developments of the polarizable force fields (FFs)-a kind of specific FF method that includes polarization effect into conventional molecular mechanics. The commonly adopted polarizable models, that is, the fluctuating charge model, Drude model, and the inducible dipole model are expatiated. Taking advantage of the recent development of computational techniques and fragment-based low-scaling quantum mechanics (QM) methods, QM-based polarizable FFs appeared and particularly aroused great interest in biological systems. Current applications and limitations of several models are discussed. Opportunities and challenges for future development are also addressed

Research on Control of Distributed Wind Solar Hybrid Power System

In this paper, the authors proposed control strategy algorithm(i.e.,maximum power point tracking(MPPT)) to improve the maximum power generation efficiency of distributed wind and solar power generation.The control algorithm mainly adopted the perturbation observation method(i.e., Power, Current, Torque, Speed and other parameters were perturbed, and the control value was adjusted according to the change of output value, so that the output value finally tended to the given value) and the improved MPPT control algorithm(i.e., change the reference voltage to change the duty ratio).Finally, the authors showed that the efficiency of electricity generation was significantly improved by experimental data comparison

Research on Control of Distributed Wind Solar Hybrid Power System

In this paper, the authors proposed control strategy algorithm(i.e.,maximum power point tracking(MPPT)) to improve the maximum power generation efficiency of distributed wind and solar power generation.The control algorithm mainly adopted the perturbation observation method(i.e., Power, Current, Torque, Speed and other parameters were perturbed, and the control value was adjusted according to the change of output value, so that the output value finally tended to the given value) and the improved MPPT control algorithm(i.e., change the reference voltage to change the duty ratio).Finally, the authors showed that the efficiency of electricity generation was significantly improved by experimental data comparison

Thole Model for Ionic Liquid Polarizability

The anisotropic ionic polarizabilities of two data sets of 216 cations (158 in training set and 58 in test set) and 80 anions (64 in training set and 16 in test set), which can be the components of ionic liquids (ILs), are fitted with Thole model against <i>ab initio</i> calculations. The isotropic atomic polarizabilities of H, B, C, N, O, F, S, Cl, P, and Br, are fitted for cations and anions, respectively, with two different smearing functions. The <i>ab initio</i> anisotropic ionic polarizabilities are well fitted by Thole model with a universal set of isotropic atomic polarizabilities, which are independent of their individual chemical environment. The current study also demonstrates the good transferability of Thole model to ions of different substituents, different side chain length, and different conformations