Network-based proteomic analysis for postmenopausal osteoporosis in Caucasian females.

Menopause is one of the crucial physiological events during the life of a woman. Transition of menopause status is accompanied by increased risks of various health problems such as osteoporosis. Peripheral blood monocytes can differentiate into osteoclasts and produce cytokines important for osteoclast activity. With quantitative proteomics LC-nano-ESI-MS(E) (where MS(E) is elevated-energy MS), we performed protein expression profiling of peripheral blood monocytes in 42 postmenopausal women with discordant bone mineral density (BMD) levels. Traditional comparative analysis showed proteins encoded by four genes (LOC654188, PPIA, TAGLN2, YWHAB) and three genes (LMNB1, ANXA2P2, ANXA2) were significantly down- and upregulated, respectively, in extremely low- versus high-BMD subjects. To study functionally orchestrating groups of detected proteins in the form of networks, we performed weighted gene coexpression network analysis and gene set enrichment analysis. Weighted gene coexpression network analysis showed that the module including the annexin gene family was most significantly correlated with low BMD, and the lipid-binding related GO terms were enriched in this identified module. Gene set enrichment analysis revealed that two significantly enriched gene sets may be involved in postmenopausal BMD variation by regulating pro-inflammatory cytokines activities. To gain more insights into the proteomics data generated, we performed integrative analyses of the datasets available to us at the genome (DNA level), transcriptome (RNA level), and proteome levels jointly.

Network-based Transcriptome-wide Expression Study for Postmenopausal Osteoporosis.

PURPOSE: Menopause is a crucial physiological transition during a woman's life, and it occurs with growing risks of health issues like osteoporosis. To identify postmenopausal osteoporosis-related genes, we performed transcriptome-wide expression analyses for human peripheral blood monocytes (PBMs) using Affymetrix 1.0 ST arrays in 40 Caucasian postmenopausal women with discordant bone mineral density (BMD) levels. METHODS: We performed multiscale embedded gene coexpression network analysis (MEGENA) to study functionally orchestrating clusters of differentially expressed genes in the form of functional networks. Gene sets net correlations analysis (GSNCA) was applied to assess how the coexpression structure of a predefined gene set differs in high and low BMD groups. Bayesian network (BN) analysis was used to identify important regulation patterns between potential risk genes for osteoporosis. A small interfering ribonucleic acid (siRNA)-based gene silencing in vitro experiment was performed to validate the findings from BN analysis. RESULT: MEGENA showed that the "T cell receptor signaling pathway" and the "osteoclast differentiation pathway" were significantly enriched in the identified compact network, which is significantly correlated with BMD variation. GSNCA revealed that the coexpression structure of the "Signaling by TGF-beta receptor complex pathway" is significantly different between the 2 BMD discordant groups; the hub genes in the postmenopausal low and high BMD group are FURIN and SMAD3 respectively. With siRNA in vitro experiments, we confirmed the regulation relationship of TGFBR2-SMAD7 and TGFBR1-SMURF2. MAIN CONCLUSION: The present study suggests that biological signals involved in monocyte recruitment, monocyte/macrophage lineage development, osteoclast formation, and osteoclast differentiation might function together in PBMs that contribute to the pathogenesis of postmenopausal osteoporosis.

Excellent Microwave Absorption and Electromagnetic Interference Shielding Based on Reduced Graphene Oxide@MoS2 /Poly(Vinylidene Fluoride) Composites.

Reduced graphene oxide (rGO)@MoS2 composites with a loose structure were prepared and added to poly(vinylidene fluoride) (PVDF) to form composites that showed superior microwave absorption and excellent electromagnetic interference shielding performances. The maximum reflection loss of the rGO@MoS2 /PVDF composites, with a low filling rate (only 5.0 wt %), can reach -43.1 dB at 14.48 GHz, and the frequency bandwidth below -10 dB is 3.6-17.8 GHz (in the frequency range of 2-18 GHz) with a thickness of 1-5 mm. Furthermore, rGO@MoS2 /PVDF composites with a higher filling rate (25 wt %) also exhibit outstanding electromagnetic interference shielding effectiveness, reaching a maximum at 27.9 dB. The mechanism of enhanced absorption and electromagnetic interference shielding performances were also studied in detail.

A new orchid genus, Danxiaorchis, and phylogenetic analysis of the tribe Calypsoeae.

BACKGROUND: Orchids have numerous species, and their speciation rates are presumed to be exceptionally high, suggesting that orchids are continuously and actively evolving. The wide diversity of orchids has attracted the interest of evolutionary biologists. In this study, a new orchid was discovered on Danxia Mountain in Guangdong, China. However, the phylogenetic clarification of this new orchid requires further molecular, morphological, and phytogeographic analyses. METHODOLOGY/PRINCIPAL FINDINGS: A new orchid possesses a labellum with a large Y-shaped callus and two sacs at the base, and cylindrical, fleshy seeds, which make it distinct from all known orchid genera. Phylogenetic methods were applied to a matrix of morphological and molecular characters based on the fragments of the nuclear internal transcribed spacer, chloroplast matK, and rbcL genes of Orchidaceae (74 genera) and Calypsoeae (13 genera). The strict consensus Bayesian inference phylogram strongly supports the division of the Calypsoeae alliance (not including Dactylostalix and Ephippianthus) into seven clades with 11 genera. The sequence data of each species and the morphological characters of each genus were combined into a single dataset. The inferred Bayesian phylogram supports the division of the 13 genera of Calypsoeae into four clades with 13 subclades (genera). Based on the results of our phylogenetic analyses, Calypsoeae, under which the new orchid is classified, represents an independent lineage in the Epidendroideae subfamily. CONCLUSIONS: Analyses of the combined datasets using Bayesian methods revealed strong evidence that Calypsoeae is a monophyletic tribe consisting of eight well-supported clades with 13 subclades (genera), which are all in agreement with the phytogeography of Calypsoeae. The Danxia orchid represents an independent lineage under the tribe Calypsoeae of the subfamily Epidendroideae. This lineage should be treated as a new genus, which we have named Danxiaorchis, that is parallel to Yoania. Both genera are placed under the subtribe Yoaniinae.