Treadmill Exercise Decreases Aβ Deposition and Counteracts Cognitive Decline in APP/PS1 Mice, Possibly via Hippocampal Microglia Modifications

Recent studies have suggested that exercise may be beneficial for delaying or attenuating Alzheimer’s disease (AD). However, the underlying mechanisms were not clear. Microglia-mediated neuroinflammation is suggested to play an important role in the pathology of AD. The present study investigated the beneficial effects of treadmill exercise on amyloid-β (Aβ) deposition and cognitive function in amyloid precursor protein (APP)/PS1 mice in the early stage of AD progression and microglia-mediated neuroinflammation was mainly analyzed. The results demonstrated that 12 weeks of treadmill exercise preserved hippocampal cognitive function in APP/PS1 mice and substantially suppressed Aβ accumulation in the hippocampus. Treadmill exercise significantly inhibited neuroinflammation, which was characterized by a remarkably reduced expression of pro-inflammatory factors and increased expression of anti-inflammatory mediators in the hippocampus, resulting from a shift in activated microglia from the M1 to M2 phenotype. Treadmill exercise also attenuated oxidative stress presented by a marked reduction in methane dicarboxylic aldehyde (MDA) level and dramatically elevated SOD and Mn-SOD activities in the hippocampus. These findings suggest that treadmill exercise can effectively prevent the decrease in hippocampal-dependent cognitive function and Aβ deposits in early AD progression possibly via modulating microglia-mediated neuroinflammation and oxidative stress

Single-cell RNA sequencing reveals in vivo osteoimmunology interactions between the immune and skeletal systems

BackgroundWhile osteoimmunology interactions between the immune and skeletal systems are known to play an important role in osteoblast development, differentiation and bone metabolism related disease like osteoporosis, such interactions in either bone microenvironment or peripheral circulation in vivo at the single-cell resolution have not yet been characterized.MethodsWe explored the osteoimmunology communications between immune cells and osteoblastic lineage cells (OBCs) by performing CellphoneDB and CellChat analyses with single-cell RNA sequencing (scRNA-seq) data from human femoral head. We also explored the osteoimmunology effects of immune cells in peripheral circulation on skeletal phenotypes. We used a scRNA-seq dataset of peripheral blood monocytes (PBMs) to perform deconvolution analysis. Then weighted gene co-expression network analysis (WGCNA) was used to identify monocyte subtype-specific subnetworks. We next used cell-specific network (CSN) and the least absolute shrinkage and selection operator (LASSO) to analyze the correlation of a gene subnetwork identified by WGCNA with bone mineral density (BMD).ResultsWe constructed immune cell and OBC communication networks and further identified L-R genes, such as JAG1 and NOTCH1/2, with ossification related functions. We also found a Mono4 related subnetwork that may relate to BMD variation in both older males and postmenopausal female subjects.ConclusionsThis is the first study to identify numerous ligand-receptor pairs that likely mediate signals between immune cells and osteoblastic lineage cells. This establishes a foundation to reveal advanced and in-depth osteoimmunology interactions to better understand the relationship between local bone microenvironment and immune cells in peripheral blood and the impact on bone phenotypes

A Hybrid Genetic Algorithm for Bin Packing Problem Based on Item Sequencing

The bin packing problem based on item sequencing is defined as follows: given a set of sequenced items of different sizes, how should one pack them all into bins of different capacity, in order to make the utility ratio of bin capacity as higher as possible? In this paper, next fit algorithm, a heuristic method for bin packing problem, is introduced into simple genetic algorithm, and a hybrid genetic algorithm is proposed for solving bin-packing problem based on item sequencing. In the hybrid genetic algorithm, the idea of simple genetic algorithm is used to search the solution of the bins sequence, and the idea of next fit algorithm is used to pack the sequenced items into the bins sequence obtained. Finally, the effectiveness of the hybrid genetic algorithm is convinced through computational results of an example

Infantile hemangioma in a subadult Chinese pangolin: a case report

Abstract Background Hemangiomas are a relatively common type of tumor in humans and animals. Various subtypes of hemangiomas have been described in the literature. The classification methods for hemangiomas differ between human and veterinary medicine, and the basis for tumor classification can be found in the literature. Case presentation This study describes a tumor in the subcutaneous tissue of the right dorsum of an artificially rescued juvenile Chinese pangolin. Computed tomography (CT) examination yielded the preliminary diagnosis of a vascular malformation, and surgery was performed to resect the tumor. Histopathological examination showed that the tumor mainly was consisted of adipose tissue, capillaries, and spindle cells in the fibrous stroma. Immunohistochemistry showed the positive expression of CD31, CD34, α-SMA, GLUT1 and WT-1 in the tumor tissue, and the tumor was eventually diagnosed as an infantile haemangioma. Conclusion The final diagnosis of infantile hemangioma was depended on the histopathological immunohistochemical and CT examination of the neoplastic tissue. This is the first report of infantile hemangioma in a critically endangered species Chinese pangolin

Use of the Transposon Ac as a Gene-Searching Engine in the Maize Genome

We show here that, although genes constitute only a small percentage of the maize genome, it is possible to identify them phenotypically as Ac receptor sites. Simple and efficient Ac transposition assays based on the well-studied endosperm markers bz and wx were used to generate a collection of >1300 independent Ac transposants. The majority of transposed Ac elements are linked to either the bz or the wx donor loci on chromosome 9. A few of the insertions produce obvious visible phenotypes, but most of them do not, suggesting that these populations will be more useful for reverse genetics than for forward transposon mutagenesis. An inverse polymerase chain reaction method was adapted for the isolation of DNA adjacent to the transposed Ac elements (tac sites). Most Ac insertions were into unique DNA. By sequencing tac sites and comparing the sequences to existing databases, insertions were identified in a number of putative maize genes. The expression of most of these genes was confirmed by RNA gel blot analysis. We report here the isolation and characterization of the first 46 tac sites from the two insertion libraries

Fine Mapping of a Grain Shape Gene from a Rice Landrace Longliheinuo-Dwarf (Oryza sativa L. ssp. japonica)

Identification of grain shape genes can facilitate breeding of rice cultivars with optimal grain shape and appearance quality. In this study, we selected two rice germplasms, namely Longliheinuo-dwarf (LH) and N643, with different grain shape, to construct a genetic population for quantitative trait locus (QTL) analysis. A major QTL (qGS7), controlling the ratio of grain length to grain width, was mapped on the chromosome 7 in a BC1F4 line. By high-resolution linkage analysis, qGS7 was delimited to a 52.8 kb region including eight predicted genes. Through sequence alignment and real-time PCR expression analysis of these ORFs, ORF3 (LOC_Os07g42410) was selected as the candidate gene for further analysis. Single nucleotide polymorphisms (SNP) diversity analysis of ORF3 revealed that a single nucleotide deletion in the 7th exon resulted in a frameshift in parent LH and the parent in which a premature stop codon was identified. It was a rare mutation that caused grain shape difference. Real-time PCR analyses showed that the expression characteristics of ORF3 was in accordance with the development of spikelets. Of the 18 agronomic traits investigation in qGS7 near isogenic lines (NILs) showed that qGS7 not only changed grain shape but also affected plant height, panicle curvature, panicle length, the length of second leaf from the top, and chalkiness

Differential transcriptome analysis of Sporocytophaga sp. CX11 and identification of candidate genes involved in lignocellulose degradation

Abstract Cellulose is the most abundant renewable bioresources on earth, and the biodegradation and utilization of cellulose would contribute to the sustainable development of global environment. Sporocytophaga species are common aerobic cellulose-degrading bacteria in soil, which can adhere to the surface of cellulose matrix and motile by gliding. In this study, a differential transcriptome analysis of Sporocytophaga sp. CX11 was performed and a total of 4,217 differentially expressed genes (DEGs) were identified. Gene Ontology enrichment results showed that there are three GO categories related to cellulose degradation function among the annotated DEGs. A total of 177 DEGs were identified as genes encoding carbohydrate-active enzymes (CAZymes), among which 54 significantly upregulated CAZymes were mainly cellulases, hemicellulases, pectinases, etc. 39 DEGs were screened to associate with gliding function. In order to explore unannotated genes potentially related to cellulose metabolism, cluster analysis was performed using the Short-Time Series Expression Miner algorithm (STEM). 281 unannotated genes were predicted to be associated with the initial-middle stage of cellulose degradation and 289 unannotated genes might function in the middle-last stage of cellulose degradation. Sporocytophaga sp. CX11 could produce extracellular endo-xylanase, endo-glucanase, FPase and β-glucosidase, respectively, according to different carbon source conditions. Altogether, this study provides valuable insights into the transcriptome information of Sporocytophaga sp. CX11, which would be useful to explore its application in biodegradation and utilization of cellulose resources. Graphical Abstrac

Jittery, a Mutator distant relative with a paradoxical mobile behavior: Excision without reinsertion

The unstable mutation bz-m039 arose in a maize (Zea mays) stock that originated from a plant infected with barley stripe mosaic virus. The instability of the mutation is caused by a 3.9-kb mobile element that has been named Jittery (Jit). Jit has terminal inverted repeats (TIRs) of 181 bp, causes a 9-bp direct duplication of the target site, and appears to excise autonomously. It is predicted to encode a single 709-amino acid protein, JITA, which is distantly related to the MURA transposase protein of the Mutator system but is more closely related to the MURA protein of Mutator-like elements (MULEs) from Arabidopsis thaliana and rice (Oryza sativa). Like MULEs, Jit resembles Mutator in the length of the element\u27s TIRs, the size of the target site duplication, and in the makeup of its transposase but differs from the autonomous element Mutator-Don Robertson in that it encodes a single protein. Jit also differs from Mutator elements in the high frequency with which it excises to produce germinal revertants and in its copy number in the maize genome: Jit-like TIRs are present at low copy number in all maize lines and teosinte accessions examined, and JITA sequences occur in only a few maize inbreds. However, Jit cannot be considered a bona fide transposon in its present host line because it does not leave footprints upon excision and does not reinsert in the genome. These unusual mobile element properties are discussed in light of the structure and gene organization of Jit and related elements