ACKR1+ Endothelial Cells Mediate Leukocyte Infiltration and Synergize with SFRP2/ASPN+ Fibroblasts to Promote Skin Fibrosis in Systemic Sclerosis.

BACKGROUND: Skin fibrosis is the most typical pathological manifestation of systemic sclerosis (SSc) and localized scleroderma (LS) with unclear etiology and few effective treatments. Though excessive collagen secretion by fibroblasts is the primary cause of skin fibrosis, many lines of evidence suggested that vascular damage was the initiating event and various cell types along with fibroblasts worked together to contribute to the pathogenesis of skin fibrosis. OBJECTIVES: We sought to explore the relationships between vascular endothelial cell lesions and immune cell infiltration, along with the cell-cell interactions among various cell types within the fibrotic skin ecosystem. METHODS: Single-cell RNA-seq (10x Genomics) was performed on skin biopsies of 3 healthy donors and 7 SSc patients in Chinese. The additional 3 localized scleroderma patients' data from NCBI database (GSE160536) were integrated by Harmony. CellChat package (v1.5.0) was applied to analyze cell communication network. Transwell assay and subcutaneous bleomycin (BLM) injection in mice were used to explore the role of ACKR1 on immune cell infiltration. Milo single-cell western blot was applied to show the activation of fibroblast subclusters. RESULTS: A total of 62,295 cells were obtained and subpopulations of stromal and immune cells were identified. Interaction network analysis revealed that multiple chemokines secreted by macrophages, pericytes, and pro-inflammatory fibroblasts could bind with Duffy antigen/receptor for chemokines (ACKR1), which is highly expressed on ACKR1+ endothelial cells of lesion skin. Transwell assay revealed that over-expressed ACKR1 in HUVEC facilitated leukocyte infiltration under the treatment of IL8. The BLM mice showed enhanced ACKR1 expression, massive immune cell infiltration, and fibrosis in skin, which could be attenuated by ACKR1 inhibition. Furthermore, infiltrated macrophages with TGFB1 or PDGFB high production could activate SFRP2/ASPN+ fibroblasts to contribute to excessive accumulation of extracellular matrix (ECM), and the SOX4-ASPN axis plays an important role in the TGF-ß signaling cascade and the etiology of skin fibrosis. CONCLUSIONS: Our results reveal that highly expressed ACKR1 in endothelial cells of fibrotic skin tissue promotes immune cell infiltration, and SFRP2/ASPN+ fibroblasts synergize to exacerbate skin fibrosis.

The Relationship between Thyroid Hormones and Insulin Resistance in Polycystic Ovary Syndrome Women.

OBJECTIVE: This study aimed to investigate the changes in thyroid hormones in the serum of patients with polycystic ovary syndrome (PCOS) and their correlation with insulin resistance. DESIGN: This is a retrospective study. PARTICIPANTS: 84 patients having insulin resistance and 76 patients without insulin resistance were included. 90 women without history of PCOS were selected as a healthy control group. SETTINGS: This study was conducted at Shijiazhuang Fourth Hospital. METHODS: Blood samples were collected from each group on days 3-5 of their menstrual cycle, and their triiodothyronine (T3), thyroxine (T4), and thyroid-stimulating hormone (TSH) levels were analyzed and compared between groups. RESULTS: We investigated the changes of serum thyroid hormones in patients with PCOS and their correlation with insulin resistance. We found that serum levels of T3 and T4 were significantly decreased, while TSH levels were significantly increased in PCOS patients compared with HCs. Moreover, we found that patients with insulin resistance had significantly lower levels of serum T3 and T4 and higher levels of TSH compared to those PCOS participants without insulin resistance. LIMITATIONS: This study was a retrospective and single-center study, which had selection bias, information bias, and confounding variables may affect the accuracy and reliability of the conclusion. CONCLUSIONS: Insulin resistance negative correlates with their serum T3, T4, and positive correlates with their TSH levels. Our results develop a combined test model with the serum T3, T4, and TSH levels for the clinical diagnosis of insulin resistance in PCOS women.

Experimental study on the mechanical properties of desert sand improved by the combination of additives and bio-cement.

Bio-cement is a green and energy-saving building material that has attracted much attention in the field of ecological environment and geotechnical engineering in recent years. The aim of this study is to investigate the use of bio-cement (enzyme-induced calcium carbonate precipitation-EICP) in combination with admixtures for the improvement of desert sands, which can effectively improve the mechanical properties of desert sands and is particularly suitable for sand-rich countries. In addition, the suitability of tap water in bio-cement was elucidated and the optimum ratio of each influencing factor when tap water is used as a solvent was derived. The results showed that peak values of unconfined compressive strength (maximum increase of about 130 times), shear strength (increase of 27.09%), calcium carbonate precipitation value (increase of about 4.39 times), and permeability (decrease of about 93.72 times) were obtained in the specimens modified by EICP combined with admixture as compared to the specimens modified by EICP only. The incorporation of skimmed milk powder, though significantly increasing the strength, is not conducive to cost control. The microscopic tests show that the incorporation of admixtures can provide nucleation sites for EICP, thus improving the properties of desert sand. This work can provide new research ideas for cross-fertilization between the disciplines of bio-engineering, ecology, and civil engineering.

A hybrid water quality prediction model based on variational mode decomposition and bidirectional gated recursive unit.

Water quality predicted accuracy is beneficial to river ecological management and water pollution prevention. Owing to water quality data has the characteristics of nonlinearity and instability, it is difficult to predict the change of water quality. This paper proposes a hybrid water quality prediction model based on variational mode decomposition optimized by the sparrow search algorithm (SSA-VMD) and bidirectional gated recursive unit (BiGRU). First, the sparrow search algorithm selects fuzzy entropy (FE) as the fitness function to optimize the two parameters of VMD, which improves the adaptability of VMD. Second, SSA-VMD is used to decompose the original data into several components with different center frequencies. Finally, BiGRU is employed to predict each component separately, which significantly improves predicted accuracy. The proposed model is validated using data about dissolved oxygen (DO) and the potential of hydrogen (pH) from the Xiaojinshan Monitoring Station in Qiandao Lake, Hangzhou, China. The experimental results show that the proposed model has superior prediction accuracy and stability when compared with other models, such as EMD-based models and other CEEMDAN-based models. The prediction accuracy of DO can reach 97.8% and pH is 96.1%. Therefore, the proposed model can provide technical support for river water quality protection and pollution prevention.

A hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit.

Dissolved oxygen is one of the important comprehensive indicators of river water quality, which reflects the degree of pollution in the water body. Monitoring and predicting dissolved oxygen are an important tool for water quality management, which helps to effectively maintain water ecological balance and prevent environmental problems. A single model cannot describe the dynamic characteristics of dissolved oxygen sequence, which affects the prediction accuracy. In order to obtain more accurate dissolved oxygen prediction results, decomposition techniques are commonly used to extract the main fluctuations and trends of water quality sequences. However, the high-frequency modes obtained from decomposition are still unstable. To solve this problem, this paper proposed a hybrid prediction model of dissolved oxygen concentration based on secondary decomposition and bidirectional gate recurrent unit. Firstly, dissolved oxygen sequence is preliminarily decomposed by complete ensemble empirical mode decomposition with adaptive noise (CEEMDAN) and obtain several intrinsic mode functions (IMF). The fuzzy entropy (FE) is calculated to quantify the complexity of the IMF. Then, variational mode decomposition improved by northern goshawk optimization is used to decompose the IMF with higher entropy. The nonlinearity and instability of the sequence are further weakened. Finally, the bidirectional gate recurrent unit (BiGRU) neural network is used to predict each IMF component, and the final prediction result is obtained by reconstructing the prediction results of each component. In order to verify the effectiveness of the proposed model, this paper selects the dissolved oxygen data of Xin'anjiang Reservoir as the research object. The experimental results show that the RMSE, MAE, MAPE, and R2 of the proposed model are 0.1164, 0.0894, 1.0403%, and 0.9939, respectively, which is best among other comparative prediction models (BP, LSTM, GRU, BiGRU, EMD-BiGRU, CEEMDAN-BiGRU, VMD-BiGRU, and GNO-VMD-BiGRU). Therefore, this model effectively deals with high volatility and nonlinear dissolved oxygen data and provides reference for water environment management and ecological protection.

m6Acancer-Net: Identification of m6A-mediated cancer driver genes from gene-site heterogeneous network.

N6-methyladenosine (m6A) is the most abundant eukaryotic modification internal mRNA, which plays the crucial roles in the occurrence and development of cancer. However, current knowledge about m6A-mediated functional circuit and key genes targeted by m6A methylation in cancer is mostly elusive. Thus, here we proposed a novel network-based approach (called m6Acancer-Net) to identify m6A-mediated driver genes and their associated network in specific type of cancer, such as acute myeloid leukemia. m6A-mediated cancer driver genes are defined as genes mediated by m6A methylation, significantly mutated, and functionally interacted in cancer. m6Acancer-Net identified the m6A-mediated cancer driver genes by combining gene functional interaction network with RNA methylation, gene expression and mutation information. A cancer-specific gene-site heterogeneous network was firstly constructed by connecting the m6A site co-methylation network with the functional interaction pruned gene co-expression network generated from large scale gene expression profile of specific cancer. Then, the functional m6A-mediated genes were identified by selecting the m6A regulators as seed genes to perform the random walk with restart algorithm on the gene-site heterogeneous network. Finally, m6A-mediated cancer driver gene subnetworks were constructed by performing the heat diffusion of mutation frequency for functional m6A-mediated genes in protein-protein interaction networks. The experimental results of m6Acancer-Net on the acute myeloid leukemia (AML) and glioblastoma multiforme (GBM) data from TCGA project show that the m6A-mediated caner driver genes identified by m6Acancer-Net are targeted by m6A regulators, and mediate significant cancer-related pathways. They play crucial roles in development and prognostic stratification of cancer. Moreover, 15 m6A-mediated cancer driver genes identified in AML are validated by literatures to mediate AML progress, and 14 m6A-mediated cancer driver genes identified in GBM are validated by literatures to participate in development of GBM. m6Acancer-Net is reliable to identify the functionally significant m6A-mediated driver genes in specific cancer, and it can effectively facilitate the understanding of regulatory and therapeutic mechanism of cancer driver genes in epitranscriptome layer.

m6Aexpress-Reader: Prediction of m6A regulated expression genes by integrating m6A sites and reader binding information in specific- context.

N6-methyladenosine (m6A) is the most abundant form of mRNA modification and plays an important role in regulating gene expression. However, the mechanisms of m6A regulated gene expression in cell or condition specific, are still poorly understood. Even though, some methods are able to predict m6A regulated expression (m6A-reg-exp) genes in specific context, they don't introduce the m6A reader binding information, while this information can help to predict m6A-reg-exp genes and more clearly to explain the mechanisms of m6A-mediated gene expression process. Thus, by integrating m6A sites and reader binding information, we proposed a novel method (called m6Aexpress-Reader) to predict m6A-reg-exp genes from limited MeRIP-seq data in specific context. m6Aexpress-Reader adopts the reader binding signal strength to weight the posterior distribution of the estimated regulatory coefficients for enhancing the prediction power. By using m6Aexpress-Reader, we found the complex characteristic of m6A on gene expression regulation and the distinct regulated pattern of m6A-reg-exp genes with different reader binding. m6A readers, YTHDF2 or IGF2BP1/3 all play an important role in various cancers and the key cancer pathways. In addition, m6Aexpress-Reader reveals the distinct m6A regulated mode of reader targeted genes in cancer. m6Aexpress-Reader could be a useful tool for studying the m6A regulation on reader target genes in specific context and it can be freely accessible at: https://github.com/NWPU-903PR/m6AexpressReader.

Photoperiod and temperature as dominant environmental drivers triggering secondary growth resumption in Northern Hemisphere conifers.

Wood formation consumes around 15% of the anthropogenic CO2 emissions per year and plays a critical role in long-term sequestration of carbon on Earth. However, the exogenous factors driving wood formation onset and the underlying cellular mechanisms are still poorly understood and quantified, and this hampers an effective assessment of terrestrial forest productivity and carbon budget under global warming. Here, we used an extensive collection of unique datasets of weekly xylem tissue formation (wood formation) from 21 coniferous species across the Northern Hemisphere (latitudes 23 to 67°N) to present a quantitative demonstration that the onset of wood formation in Northern Hemisphere conifers is primarily driven by photoperiod and mean annual temperature (MAT), and only secondarily by spring forcing, winter chilling, and moisture availability. Photoperiod interacts with MAT and plays the dominant role in regulating the onset of secondary meristem growth, contrary to its as-yet-unquantified role in affecting the springtime phenology of primary meristems. The unique relationships between exogenous factors and wood formation could help to predict how forest ecosystems respond and adapt to climate warming and could provide a better understanding of the feedback occurring between vegetation and climate that is mediated by phenology. Our study quantifies the role of major environmental drivers for incorporation into state-of-the-art Earth system models (ESMs), thereby providing an improved assessment of long-term and high-resolution observations of biogeochemical cycles across terrestrial biomes.

VX-765 attenuates silica-induced lung inflammatory injury and fibrosis by modulating alveolar macrophages pyroptosis in mice.

Silicosis is a diffuse fibrotic lung disease in which excessive inflammatory responses are triggered by silica exposure. Pyroptosis, a pro-inflammatory mode of programmed cell death, is mediated by gasdermin and may play a pivotal role in the development of silicosis. The caspase-1 inhibitor, VX-765, was used in vivo and in vitro to investigate the effects of silica-induced early inflammatory injury and later lung fibrosis. Our findings show that VX-765 reduces inflammatory lung injury by inhibiting silica-induced pyroptosis of alveolar macrophages in a silicosis mouse model. VX-765 limits the infiltration of inflammatory M1 alveolar macrophages, decreasing expression of inflammatory cytokines, including IL-1ß, TNF-α, IL-6, CCL2, and CCL3, and down-regulating endogenous DAMPs and inflammatory immune-related cell pattern recognition receptors TLR4 and NLRP3. Furthermore, VX-765 alleviates fibrosis by down-regulating α-smooth muscle actin (α-SMA), collagen, and fibronectin. In this study, we illustrate that Alveolar macrophages pyroptosis occur in the early stages of silicosis, and VX-765 can alleviate the development of silicosis by inhibiting the pyroptosis signaling pathway. These results may provide new insight into the prevention and treatment of early-stage silicosis.

First Report of Orobanche cumana on Coleus in Xinjiang, China.

Coleus (Plectranthus scutellarioides [L.] R.Br., [syn.: Solenostemon scutellarioides], Lamiaceae) is a popular ornamental plant for its colorful and showy foliage, and widely planted as a garden plant, and a medicinal herb in some countries, including India, Indonesia, Mexico (Zhu et al. 2015). In March 2022, parasitism of broomrape, on coleus plants was found in a greenhouse (86° 3' 36" E, 44° 18' 36" N, 500 m elevation) at Shihezi University, Xinjiang, China. A few plants (6%) were parasitized with 2.5 emerged broomrape shoots per host plant. The host-parasite connection was confirmed by microscopy. Morphological characteristics of the host were consistent with coleus described by Cao et al. (2023). The broomrapes were: stem simple and slender, slightly bulbous at the base, glandular-pubescent; inflorescence usually many-flowered, lax, dense in the upper third; bracts 8 to 10 mm long, ovate-lanceolate; calyx segments free, entire, seldom bifid with markedly unequal subulate teeth; corolla markedly curvate, dorsal line inflected, white at the base, bluish violet in the upper part; stamens adaxial with filaments 6 to 7 mm long; abaxial stamens with filaments 7 to 10 mm long; gynoecium 7 to 10 mm long; ovary 4 to 5 mm long, glabrous; style with short glandular hairs; stigma white, keyed to sunflower broomrape (Orobanche cumana Wallr.) (Pujadas-Salvà and Velasco 2000). Total genomic DNA of this parasite flowers was extracted and the trnL-F gene and ribosomal DNA internal transcribed spacer (ITS) region were amplified using the primer pairs C/F and ITS1/ITS4, respectively (Taberlet et al. 1991; Anderson et al. 2004). Sequences of ITS (655 bp) and trnL-F (901 bp) were obtained (GenBank ON491818 and ON843707). BLAST analysis showed the ITS sequence was identical to that of sunflower broomrape (MK567978.1), also the trnL-F sequence matched that of sunflower broomrape (MW809408.1, identity 100%). Multi-locus phylogenetic analyses of the two sequences showed this parasite is clustered with sunflower broomrape. Together, morphological and molecular evidences confirmed the parasite on coleus plants was sunflower broomrape, a root holoparasitic plant with a narrow host range, which mainly posed a devastating threat to sunflower planting industry (Fernández-Martínez et al. 2015). To verify that coleus sunflower broomrape parasitic association, seedlings of this host were planted in 1.5-L pots containing compost-vermiculite-sand mixture (1:1:1 v:v:v) and sunflower broomrape seeds (50 mg seeds per 1 kg, soil). Three coleus seedlings, transplanted into pots without sunflower broomrape seeds, served as control. Ninety-six days later, the infected plants were smaller, their leaf color was observed to a lighter green than those of control plants and were similar to the broomrape-infected coleus plants observed in the greenhouse. The coleus roots with sunflower broomrape were carefully washed with running water, 10 to 15 emerged broomrape shoots and 14 to 22 underground attachments were observed on the coleus roots. The parasite grew well in coleus roots, from germination, attachment to host roots, and tubercles development. At the tubercle stage, the endophyte of sunflower broomrape had connected with the vascular bundle of the coleus root, confirming the sunflower broomrape-coleus connection. To the best of our knowledge, this was the first report of sunflower broomrape parasitizing coleus in Xinjiang, China. This indicates that sunflower broomrape can be propagated and survived by coleus, in fields or greenhouses with sunflower broomrape. To limit the spread of sunflower broomrape, preventive field management is needed for the coleus farmlands and greenhouse where the root holoparasite is prevalent.

First Report of Karelinia caspia (Pall.) Less as a new host of Orobanche cumana Wallr. in Xinjiang, China.

Sunflower broomrape (Orobanche cumana Wallr.) is a holoparasitic plant species which mainly parasitizes a few species of the Asteraceae in the wild and is exclusively found growing on sunflower in agricultural fields (Fernández-Martínez et al. 2015). O. cumana is a serious threat to sunflower production in Xinjiang and Inner Mongolia (Shi et al. 2015). Karelinia caspia (Pall.) Less. (Asteraceae) is an ecologically important plant species occurring across the desert ecosystems of Russia, Central Asia, and northwest China. It plays an important role in reducing wind erosion and desertification (Xu et al. 2018). During the 2018 and 2019 growing seasons, sunflower broomrape was observed parasitizing K. caspia in non-cultivated areas adjacent to sunflower fields near Beitun city (87°51'E, 47°15'N) in Xinjiang, China. Sunflower broomrape plants were identified morphologically as O. cumana according to Pujadas-Salvà and Velasco (2000). The host plants were identified morphologically as K. caspia according to Lin et al (1979). The ribosomal DNA internal transcribed spacer (ITS) and the trnL-F region of the parasite were amplified by PCR using primer pairs ITS1/ITS4 and trnL-FF/trnL-FR, respectively (Taberlet et al. 1991; Anderson et al. 2004). The ITS sequence of the parasite (Accession No. MT795725.1) showed 100% identity (675bp out of 689bp) to that of O. cernua var. cumana (KC811228.1). The trnl-F sequence of the parasite (Accession No. ON843707) showed 98% identity (675 of 689 bp) to O.cernua var. cumana (KT387722.1). Multi-locus phylogenetic analysis of the two sequences showed clustering with sunflower broomrape. The ITS region of the parasite and host was were amplified by PCR using the primer pair ITS1F/ITS4R (Taberlet et al.1991), and the ITS sequences of the host (Accession No. MT791995.1) showed 99.86% identity (728bp of 802bp) to that of K. caspia (LN607483.1). Rhizotron and pot experiments were carried out to assess the parasitic relationship between O. cumana and K. caspia. In the rhizotron experiment, 2-week-old seedlings of K. caspia were inoculated with sterilized 400 O. cumana seeds in a 15-cm petri dish filled with a sponge overlaid with glass fiber filter paper. The parasitic state of O. cumana was observed 9 days after inoculation. In another trial, seeds of K. caspia were sowed in 2-L and 4-L pots containing sand-vermiculite-compost (1:1:1 v:v:v). These pots were artificially inoculated with 50 mg of O. cumana seeds per 1 kg of substrate. After 20 and 70 days, corresponding to the early parasitic and flowering stages, respectively, of O. cumana, K. caspia plants were uprooted from the media and washed carefully. The parasitic relationship was confirmed by the attachment position of the broomrape to the K. caspia root. To our knowledge, this is the first report of O. cumana parasitizing K. caspia in Xinjiang, China. This phenomenon means that sunflower broomrape can raise up seed on a newly recognized host. Weed eradication in and near sunflower fields is a key measure to control sunflower broomrape.

Telemedicine in the Battle with 2019 Novel Coronavirus Disease (COVID-19) in Henan Province, China: A Narrative Study.

Background and Objectives: Based on practical services of the Henan Province Telemedicine Center (HTCC), the purpose of this study is to investigate the design, construction, implementation, and application effect of a specific telemedicine system in response to the coronavirus disease 2019 (COVID-19). Methods: Data on COVID-19 cases from December 31, 2019, through October 17, 2022, were collected from official websites. Data and information of telemedicine services related to COVID-19 in HTCC were collected and analyzed, and relevant graphical representations were plotted. Results: All the 147 COVID-19 designated hospitals in the Henan Province were covered by the specific telemedicine system. The cities near to the Hubei Province in the south of Henan tended to be with more COVID-19 cases, where more COVID-19-related telemedicine services were conducted. For the telemedicine system, function modules, including real-time monitoring, command and dispatch, intractable cases transfer, remote guidance, and data sharing, were designed and realized to deal with COVID-19. Through the system, telemedicine services involved COVID-19 such as epidemic surveillance, emergency rescue, case discussion, diagnosis and treatment, remote ward-round, and distance education were performed. During the period between February 2 and March 3, 2020, 646 COVID-19 patients were served by the telemedicine system, with an improvement rate of 73.2%. Conclusions: Telemedicine can improve the diagnosis and treatment of COVID-19 patients, which play a helpful role in curbing the COVID-19 epidemic. Given the current global COVID-19 pandemic and the potential re-emerge of novel zoonotic pathogens in the future, the use of telemedicine would be imperative to fight against the pandemic.

Climate warming leads to advanced fruit development period of temperate woody species but divergent changes in its length.

Climate warming has significantly altered the phenology of plants in recent decades. However, in contrast to the widely reported warming-induced extension of vegetative growing season, the response of fruit development period (FDP) from flowering to fruiting remains largely unexplored, particularly for woody plants. Analyzing >560,000 in situ observations of both flowering and fruiting dates for six temperate woody species across 2958 European phenological observations sites during 1980-2013, we found that in all species both flowering and fruiting phenology, that is, the FDP, advanced with climate warming. However, the advancing rates of the two events were not necessarily equal for any given species, resulting in divergent changes in the length of FDP among species with climate warming. During 1980-2013, not only the temperature during FDP but also the forcing requirement for fruit development increased, both affecting the length of FDP. The shortened FDP was mainly due to elevated temperature, thus accelerating the accumulation of forcing, whereas the prolonged FDP was primarily caused by the substantial increase of the forcing requirement of fruiting, which could be fulfilled only in a longer time and thus slowed down the advance of fruiting. This study provides large-scale empirical evidence of warming-induced advances of FDP but divergent changes in its length in temperate woody species. Our findings demonstrate the contrasting reproductive phenological strategies among temperate woody species under the pressure of warming climate, contrary to the lengthening of vegetative growing season, which is by and largely similar with different woody species.

Synthesis and Evaluation of Bakuchiol Derivatives as Potent Anti-inflammatory Agents in Vitro and in Vivo.

Bakuchiol, a prenylated phenolic monoterpene derived from the fruit of Psoralen corylifolia L. (Buguzhi), is widely used to treat tumors, viruses, inflammation, and bacterial infections. In this study, we designed and synthesized 30 bakuchiol derivatives to identify new anti-inflammatory drugs. The anti-inflammatory activities of the derivatives were screened using lipopolysaccharide-induced RAW264.7 cells. To evaluate the anti-inflammatory activity of the compounds, we measured nitric oxide (NO), interleukin-6, and tumor necrosis factor-α production. Based on the screening results, compound 7a displayed more pronounced activity than bakuchiol and celecoxib. Furthermore, the mechanistic studies indicated that 7a inhibited pro-inflammatory cytokine release, which was correlated with activation of the nuclear factor erythroid 2-related factor 2/heme oxygenase-1 signaling pathway and blockade of the nuclear factor-κB/mitogen-activated protein kinase signaling pathway. The in vivo anti-inflammatory activity in zebrafish indicated that 7a inhibited NO and reactive oxygen species production in a dose-dependent manner. These results indicate that 7a is a potential candidate for development as an anti-inflammatory agent.

Combination of 1,8-cineole and beta-caryophyllene synergistically reverses cardiac hypertrophy in isoprenaline-induced mice and H9c2 cells.

Combination drug therapy has become an effective strategy for chronic metabolic disease, especially cardiovascular disease. In the present study, possible drug combinations were screened and the mechanism of the combinations against cardiac hypertrophy was examined within 1,8-cineole, ß-caryophyllene, linalool, and ß-pinene.H9c2 cells were treatment with 1,8-cineole, ß-caryophyllene, linalool, and ß-pinene individually or in combination for 24 h after isoprenaline stimulation. Cell viability was detected by the MTT assay. Subsequently, bioinformatic analysis and network pharmacology were used to reveal the multi-targeted synergistic therapeutic effect of the combination treatment compounds on cardiac hypertrophy. Ultimately, western blot and elisa was performed to analyses the protein expression in vivo. MTT results found that 1,8-cineole and ß-caryophyllene synergistically increased cell viability with CalcuSyn software analyses. Specifically, bioinformatic and network pharmacology analysis showed PTGS2, TNF, IL-6, AKT1, NOS2, and CAT were identified as the key targets. P13K-AKT signaling pathway was involved in the reversal of cardiac hypertrophy by the combination of 1,8-cineole and ß-caryophyllene. The in vitro results indicated that the combination synergistically treated the isoprenaline-induced mice against structural and functional myocardial damage via the P13K-AKT signaling pathway. Collectively, the combined application of 1,8-cineole and ß-caryophyllene synergistically reverses cardiac hypertrophy in isoprenaline-induced H9c2 cells and mice.

A novel nanobody-heavy chain antibody against Angiopoietin-like protein 3 reduces plasma lipids and relieves nonalcoholic fatty liver disease.

BACKGROUND: Nonalcoholic fatty liver disease (NAFLD) is a metabolic disease mainly on account of hypercholesterolemia and may progress to cirrhosis and hepatocellular carcinoma. The discovery of effective therapy for NAFLD is an essential unmet need. Angiopoietin-like protein 3 (ANGPTL3), a critical lipid metabolism regulator, resulted in increased blood lipids and was elevated in NAFLD. Here, we developed a nanobody-heavy chain antibody (VHH-Fc) to inhibit ANGPTL3 for NAFLD treatment. RESULTS: In this study, we retrieved an anti-ANGPTL3 VHH and Fc fusion protein, C44-Fc, which exhibited high affinities to ANGPTL3 proteins and rescued ANGPLT3-mediated inhibition of lipoprotein lipase (LPL) activity. The C44-Fc bound a distinctive epitope within ANGPTL3 when compared with the approved evinacumab, and showed higher expression yield. Meanwhile, C44-Fc had significant reduction of the triglyceride (~ 44.2%), total cholesterol (~ 36.6%) and LDL-cholesterol (~ 54.4%) in hypercholesterolemic mice and ameliorated hepatic lipid accumulation and liver injury in NAFLD mice model. CONCLUSIONS: We discovered a VHH-Fc fusion protein with high affinity to ANGPTL3, strong stability and also alleviated the progression of NAFLD, which might offer a promising therapy for NAFLD.

Up-regulation of miR-133a-3p promotes ovary insulin resistance on granulosa cells of obese PCOS patients via inhibiting PI3K/AKT signaling.

BACKGROUND: MicroRNAs are a type of non-coding single-stranded RNA, which is involved in the regulation of ovary insulin resistance (IR). This study aims to explore the underlying mechanisms of miR-133a-3p regulating ovary IR in obese polycystic ovary syndrome (PCOS). METHODS: Granulosa cells (GCs) were extracted from follicular fluids of PCOS patients (obese PCOS group and non-obese PCOS group) and healthy women (control group). The expression of miR-133a-3p in GCs was detected by qRT-PCR. The targets and pathways of miR-133a-3p were predicted by bioinformatics analyses. The protein levels of PI3K, p-AKT, GLUT4, p-GSK-3ß, and p-FOXO1 were measured by Western blotting. RESULTS: MiR-133a-3p was highly expressed in GCs from PCOS patients, especially in obese PCOS patients. The protein levels of PI3K and p-AKT was downregulated in GCs from PCOS patients. There were 11 target genes of miR-133a-3p enriching in PI3K/AKT signaling pathway. miR-133a-3p mimic downregulated the expression of PI3K, p-AKT, and GLUT4, and upregulated the protein levels of p-GSK-3ß and p-FOXO1. miR-133a-3p inhibitor presented the opposite effect of miR-133a-3p mimic. CONCLUSION: MiR-133a-3p promotes ovary IR on GCs of obese PCOS patients via inhibiting PI3K/AKT signaling pathway. This study lays a foundation for further research on the mechanism of ovary IR in obese PCOS patients.

Effects of Turning Frequency on Ammonia Emission during the Composting of Chicken Manure and Soybean Straw.

Here, we investigated the impact of different turning frequency (TF) on dynamic changes of N fractions, NH3 emission and bacterial/archaeal community during chicken manure composting. Compared to higher TF (i.e., turning every 1 or 3 days in CMS1 or CMS3 treatments, respectively), lower TF (i.e., turning every 5 or 7 days in CMS5 or CMS7 treatments, respectively) decreased NH3 emission by 11.42-18.95%. Compared with CMS1, CMS3 and CMS7 treatments, the total nitrogen loss of CMS5 decreased by 38.03%, 17.06% and 24.76%, respectively. Ammonia oxidizing bacterial/archaeal (AOB/AOA) communities analysis revealed that the relative abundance of Nitrosospira and Nitrososphaera was higher in lower TF treatment during the thermophilic and cooling stages, which could contribute to the reduction of NH3 emission. Thus, different TF had a great influence on NH3 emission and microbial community during composting. It is practically feasible to increase the abundance of AOB/AOA through adjusting TF and reduce NH3 emission the loss of nitrogen during chicken manure composting.

Biosynthesis of vanillin by different microorganisms: a review.

Vanillin is a popular flavoring agent widely used around the world. Vanillin is generated by natural extraction, chemical synthesis, or tissue culture technology, but these production methods no longer meet the increasing worldwide demand for vanillin. Accordingly, a biotechnological approach may provide an effective replacement route to obtaining vanillin. Processes for environmentally friendly production of vanillin in microorganisms from different carbon sources, such as eugenol, isoeugenol, lignin, ferulic acid, sugars, and waste residues, with high productivity and yield have been developed. However, challenges remain for optimizing the vanillin biosynthesis process and further improving production titer and yield. In this review, successful and applicable strategies for increasing vanillin titer and yield in different microorganisms are summarized. Additionally, perspectives for further optimizing the production of vanillin are discussed.

Application of quorum sensing system in microbial synthesis of valuable chemicals: a mini-review.

With advantages of low substrates cost, high optical purity of end products and environmentally friendly fermentation process, microbial production of valuable chemicals grow rapidly. Compared with static microbial strain engineering strategies, such as gene deletion, overexpression and mutation, dynamic pathway regulation is a new approach that balances cellular growth and chemical production. Quorum sensing is a natural microbial communication system responsible for cell-density-related cell behaviors. Accordingly, quorum sensing systems can be employed to achieve dynamic regulation in microorganisms without the need for manual intervention or the use of chemical inducers. In this review, natural quorum sensing systems are firstly summarized. Then, recent progress in using quorum sensing circuits in the field of metabolic engineering is highlighted. The current application challenges of quorum sensing systems and future perspectives in microbial synthesis of chemicals are also discussed.