Feasibility of Using Magnetic Resonance Spectroscopy Test Biomarkers to Diagnose Alzheimer's Disease: Systematic Evaluation and Meta-Analysis.

BACKGROUND: Alzheimer's disease (AD) is the leading cause of dementia, resulting in impairments in memory, cognition, decision-making, and social skills. Thus, accurate preclinical diagnosis of Alzheimer's disease is paramount. The identification of biomarkers for Alzheimer's disease through magnetic resonance spectroscopy (MRS) represents a novel adjunctive diagnostic approach. OBJECTIVE: This study conducted a meta-analysis of the diagnostic results of this technology to explore its feasibility and accuracy. METHODS: PubMed, Cochrane Library, EMBASE, and Web of Science databases were searched without restrictions, with the search period extending up to July 31, 2022. The search strategy employed a combination of subject headings and keywords. All retrieved documents underwent screening by two researchers, who selected them for meta-analysis. The included literature was analyzed using Review Manager 5.4 software, with corresponding bias maps, forest plots, and summary receiver operating characteristic (SROC) curves generated and analyzed. RESULTS: A total of 344 articles were retrieved initially, with 11 articles meeting the criteria for inclusion in the analysis. The analysis encompassed data from approximately 1766 patients. In the forest plot, both sensitivity (95% CI) and specificity (95% CI) approached 1. Examining the true positive rate, false positive rate, true negative rate, and false negative rate, all studies on the summary receiver operating characteristic (SROC) curve clustered in the upper left quadrant, suggesting a very high accuracy of biomarkers detected by MRS for diagnosing Alzheimer's disease. CONCLUSION: The detection of biomarkers by MRS demonstrates feasibility and high accuracy in diagnosing AD. This technology holds promise for widespread adoption in the clinical diagnosis of AD in the future.

Feasibility of Using Magnetic Resonance Spectroscopy Test Biomarkers to Diagnose Alzheimer's Disease: Systematic Evaluation and Meta-Analysis

Background: Alzheimer's disease (AD) is the leading cause of dementia, resulting in impairments in memory, cognition, decision-making, and social skills. Thus, accurate preclinical diagnosis of Alzheimer's disease is paramount. The identification of biomarkers for Alzheimer's disease through magnetic resonance spectroscopy (MRS) represents a novel adjunctive diagnostic approach.Objective: This study conducted a meta-analysis of the diagnostic results of this technology to explore its feasibility and accuracy.Methods: PubMed, Cochrane Library, EMBASE, and Web of Science databases were searched without restrictions, with the search period extending up to July 31, 2022. The search strategy employed a combination of subject headings and keywords. All retrieved documents underwent screening by two researchers, who selected them for meta-analysis. The included literature was analyzed using Review Manager 5.4 software, with corresponding bias maps, forest plots, and summary receiver operating characteristic (SROC) curves generated and analyzed.Results: A total of 344 articles were retrieved initially, with 11 articles meeting the criteria for inclusion in the analysis. The analysis encompassed data from approximately 1766 patients. In the forest plot, both sensitivity (95% CI) and specificity (95% CI) approached 1. Examining the true positive rate, false positive rate, true negative rate, and false negative rate, all studies on the summary receiver operating characteristic (SROC) curve clustered in the upper left quadrant, suggesting a very high accuracy of biomarkers detected by MRS for diagnosing Alzheimer's disease.Conclusion: The detection of biomarkers by MRS demonstrates feasibility and high accuracy in diagnosing AD. This technology holds promise for widespread adoption in the clinical diagnosis of AD in the future. (AU)

Noble metal-free ternary cobalt-nickel phosphides for enhanced photocatalytic dye-sensitized hydrogen evolution and catalytic mechanism investigation.

Transition metal phosphides have emerged as compelling alternatives to noble metal catalysts for photocatalytic hydrogen evolution, owing to their high efficiency, stability, ease of preparation, and low-cost-effectiveness. This study investigates a series of binary and ternary phosphides predominantly composed of cobalt and nickel employed for photocatalytic dye-sensitized hydrogen evolution. Under the optimal dye-to-catalyst mass ratio, CoNiP exhibited the highest hydrogen evolution activity (12.96 mmol g-1 h-1), demonstrating more significant and satisfactory performance than a variety of other reported materials. This can be attributed to the high conductivity and low hydrogen evolution overpotential of phosphides, which result from their metallic characteristics and the presence of free electrons, which promote efficient electron transfer between the catalyst and sensitizer. Density functional theory calculations revealed that the cobalt incorporation into the binary phosphides causes a negative shift in the average d-band center for CoNiP, weakening the adsorption affinity of the catalyst towards H2 molecules, thus effectively improving the hydrogen evolution rate compared to the pure binary phosphides. This work provides valuable insights for the development of low-cost and high-performance ternary phosphide photocatalysts.

Phase wavefront perturbation calculation model for spectroscopic refractive index matching of hybrid materials.

A low-cost flexible spectroscopic refractive index matching (SRIM) material with bandpass filtering properties without incidence angle and polarization dependence by randomly dispersing inorganic C a F 2 particles in organic polydimethylsiloxane (PDMS) materials was proposed in our previous study. Since the micron size of the dispersed particles is much larger than the visible wavelength, the calculation based on the commonly used finite-difference time-domain (FDTD) method to simulate light propagation through the SRIM material is too bulky; however, on the other hand, the light tracing method based on Monte Carlo theory in our previous study cannot adequately explain the process. Therefore, a novel approximate calculation model, to the best of our knowledge, based on phase wavefront perturbation is proposed that can well explain the propagation of light through this SRIM sample material and can also be used to approximate the soft scattering of light through composite materials with small refractive index differences, such as translucent ceramics. The model simplifies the complex superposition of wavefront phase disturbances and the calculation of scattered light propagation in space. The scattered and nonscattered light ratios; the light intensity distribution after transmission through the spectroscopic material; and the influence of absorption attenuation of the PDMS organic material on the spectroscopic performance are also considered. The simulation results based on the model are in great agreement with the experimental results. This work is important to further improve the performance of SRIM materials.

Three-Dimensional Modeling of Spun-Bonded Nonwoven Meso-Structures.

As a type of fiber system, nonwoven fabric is ideal for solid-liquid separation and air filtration. With the wide application of nonwoven filter materials, it is crucial to explore the complex relationship between its meso structure and filtration performance. In this paper, we proposed a novel method for constructing the real meso-structure of spun-bonded nonwoven fabric using computer image processing technology based on the idea of a "point-line-body". Furthermore, the finite element method was adopted to predict filtration efficiencies based on the built 3D model. To verify the effectiveness of the constructed meso-structure and simulation model, filtration experiments were carried out on the fabric samples under different pollution particle sizes and inlet velocities. The experimental results show that the trends observed in the simulation results are consistent with those of the experimental results, with a relative error smaller than 10% for any individual datum.

Growth Coordination Between Butyrate-Oxidizing Syntrophs and Hydrogenotrophic Methanogens.

Syntrophy is a thermodynamically required mutualistic cooperation between fatty acid-oxidizing bacteria and methanogens that plays the important role in organic decomposition and methanogenesis in anoxic environments. In this study, three experiments were conducted to evaluate the cell-to-cell interaction in a thermophilic coculture consisting of Syntrophothermus lipocalidus and Methanocella conradii and a mesophilic coculture consisting of Syntrophomonas wolfei and Methanococcus maripaludis. First, syntrophs and methanogens were inoculated at different initial cell ratios to evaluate the growth synchronization. The quantitative PCR analysis revealed that the organism with a lower relative abundance at the beginning always grew faster, and the cell ratio converged over time to relative constant values in both the thermophilic and mesophilic cocultures. Next, intermittent ultrasound and constant shaking treatments were used to evaluate the influence of physical disturbance on microbial aggregation in the mesophilic coculture. The fluorescence in situ hybridization and scanning electron microscopy revealed that the tendency of syntrophic aggregation was not affected by the physical disturbances, although the activity was slightly depressed. Syntrophomonas dominated in the initial microbial aggregates, which, however, did not grow until Methanococcus was attached and increased to a significant extent, indicating the local growth synchronization during the formation and maturation of syntrophic aggregates. Last, microfluidic experiments revealed that whether or not Syntrophomonas or Methanococcus was loaded first, the second organism preferred moving to the place where the first organism was located, suggesting the cell-to-cell attraction between Syntrophomonas and Methanococcus. Collectively, our study demonstrated the growth synchronization and cell-to-cell attraction between the butyrate-oxidizing bacteria and methanogens for optimizing the syntrophic cooperation.

HAGLR promotes neuron differentiation through the miR-130a-3p-MeCP2 axis.

Parkinson's disease (PD) is a prevalent neurodegenerative disease. Currently, the molecular mechanisms underlying the progressions of PD are not fully understood. The human neuroblastoma cell line SH-SY5Y has been widely used as an in vitro model for PD. This study aims to investigate the molecular mechanisms of the non-coding RNA-mediated SH-SY5Y differentiation induced by retinoic acid (RA). By microArray analysis, lncRNA HAGLR was observed to be significantly upregulated during the RA-induced SH-SY5Y differentiation. Silencing HAGLR blocked the RA-induced SH-SY5Y differentiation. Moreover, bioinformatical analysis illustrated that miR-130a-3p contains binding sites for HAGLR. The RNA-pull down assay and luciferase assay demonstrated that HAGLR functioned as a ceRNA of miR-130a-3p in SH-SY5Y cells. Overexpression of miR-130a-3p effectively inhibited SH-SY5Y differentiation. We identified MeCP2, a vital molecule in neuronal diseases, to be a direct target of miR-130a-3p in SH-SY5Y cells by western blot and luciferase assays. The rescue experiments verified that recovery of miR-130a-3p in HAGLR-overexpressing SH-SY5Y cells could successfully overcome the RA-induced SH-SY5Y differentiation by targeting MeCP2. In summary, this study reveals a potential molecular mechanism for the lncRNA-HAGLR-promoted in vitro neuron differentiation by targeting the miR-130a-3p-MeCP2 axis, contributing to the understanding of the pathogenesis and progression of PD.

Balance between community assembly processes mediates species coexistence in agricultural soil microbiomes across eastern China.

Revealing the linkages between community assembly and species coexistence, which is crucial for the understanding of ecosystem diversity and functioning, is a fundamental but rarely investigated subject in microbial ecology. Here we examined archaeal, bacterial, and fungal community assembly in adjacent pairs of maize (water-unsaturated) and rice (water-saturated) fields across different habitats and regions throughout Eastern China. The high-throughput sequencing dataset was analyzed by variation partitioning, null model, and neutral community model analyses. We demonstrated that microbial community assembly was governed more by species sorting than by dispersal limitation in maize fields, and to a lesser extent in rice fields. The relative importance of species sorting in maize soils was greater at low latitudes than at high latitudes, while rice soils exhibited an opposite trend. Microbial co-occurrence associations tended to be higher when communities were primarily driven by dispersal limitation relative to species sorting. There were greater community dissimilarities between maize and rice soils in low-latitude regions, which was consistent with the higher proportion of negative edges in the correlation networks. The results indicate that a balance between species sorting and dispersal limitation mediates species coexistence in soil microbiomes. This study enhances our understanding of contemporary coexistence theory in microbial ecosystems.

Core Microbiota in Agricultural Soils and Their Potential Associations with Nutrient Cycling.

Revealing the ecological roles of the core microbiota in community maintaining and soil nutrient cycling is crucial for understanding ecosystem function, yet there is a dearth of continental-scale studies on this fundamental topic in microbial ecology. Here, we collected 251 soil samples from adjacent pairs of maize and rice fields at a continental scale in eastern China. We revealed the major ecological roles of the core microbiota in maintaining complex connections between bacterial taxa and their associations with belowground multinutrient cycling. By identifying the habitat preferences of the core microbiota, we built a continental atlas for mapping the spatial distributions of bacteria in agro-soils, which helps forecast the responses of agricultural ecosystems to anthropogenic disturbance. The multinutrient cycling index for maize and rice soils was related to bacterial α-diversity and ß-diversity, respectively. Rice soils exhibited higher bacterial diversity and closer bacterial cooccurrence relationships than maize soils. In contrast to the macro- or microecological latitudinal richness patterns in natural terrestrial ecosystems, the bacteria in maize soils showed higher richness at high latitudes; however, this trend was not observed in rice soils. This study provides a new perspective on the distinct bacterial biogeographic patterns to predict the ecological roles of the core microbiota in agro-soils and thus helps manage soil bacterial communities for better provisioning of key ecosystem services. IMPORTANCE Disentangling the roles of the core microbiota in community maintaining and soil nutrient cycling is an important yet poorly understood topic in microbial ecology. This study presents an exploratory effort to gain predictive understanding of the spatial atlas and ecological roles of the core microbiota. A systematic, continental-scale survey was conducted using agro-soils in adjacent pairs of maize (dryland) and rice (wetland) fields across eastern China. The results indicate that the core microbiota play major ecological roles in maintaining complex connections between bacterial taxa and are associated with belowground multinutrient cycling. A continental atlas was built for mapping the bacterial spatial distributions in agro-soils through identifying their habitat preferences. This study represents a significant advance in forecasting the responses of agricultural ecosystems to anthropogenic disturbance and thus helps manage soil bacterial communities for better provisioning of key ecosystem services-the ultimate goal of microbial ecology.

A highly luminescent Mn4+ activated LaAlO3 far-red-emitting phosphor for plant growth LEDs: charge compensation induced Mn4+ incorporation.

As a potential far-red-emitting candidate for plant growth LEDs, Mn4+ activated oxide phosphors have brand-new application prospects. However, it remains a significant challenge to develop highly efficient far-red-emitting phosphors due to their intrinsic energy loss in a large Stokes shift. Herein, we present a rational charge compensation strategy with a fusible charge compensator MgF2 at the molecular level to synthesize a LaAlO3:Mn4+,Mg2+ far-red-emitting phosphor. Notably, MgF2 can play an essential role in the incorporation of Mn4+ into the crystal matrix during the high-temperature solid-state reaction process, and thus induce a highly luminescent phosphor with a quantum yield of 78.6% and appropriate thermal stability. The fabrication of a high-performance far-red-emitting phosphor-converted LED further identifies the application potential of the modified Mn4+ activated LaAlO3 phosphor. This finding sheds light on the further exploration of high-grade far-red phosphors.

Environmental filtering drives distinct continental atlases of soil archaea between dryland and wetland agricultural ecosystems.

BACKGROUND: Understanding the spatial distributions and ecological diversity of soil archaeal communities in agricultural ecosystems is crucial for improvements in crop productivity. Here, we conducted a comprehensive, continental-scale survey of soil archaeal communities in adjacent pairs of maize (dryland) and rice (wetland) fields in eastern China. RESULTS: We revealed the consequential roles of environmental filtering in driving archaeal community assembly for both maize and rice fields. Rice fields, abundant with Euryarchaeota, had higher archaeal diversity and steeper distance-decay slopes than maize fields dominated by Thaumarchaeota. Dominant soil archaea showed distinct continental atlases and niche differentiation between dryland and wetland habitats, where they were associated with soil pH and mean annual temperature, respectively. After identifying their environmental preferences, we grouped the dominant archaeal taxa into different ecological clusters and determined the unique co-occurrence patterns within each cluster. Using this empirical dataset, we built a continental atlas of soil archaeal communities to provide reliable estimates of their spatial distributions in agricultural ecosystems. CONCLUSIONS: Environmental filtering plays a crucial role in driving the distinct continental atlases of dominant soil archaeal communities between dryland and wetland, with contrasting strategies of archaeal-driven nutrient cycling within these two agricultural ecosystems. These findings improve our ability to predict how soil archaeal communities respond to environmental changes and to manage soil archaeal communities for provisioning of agricultural ecosystem services.

Overexpression of LACTB, a Mitochondrial Protein That Inhibits Proliferation and Invasion in Glioma Cells.

LACTB, a mitochondrial protein, was ubiquitously expressed in different mammalian tissues, such as liver, heart, and skeletal muscle. It has been shown that LACTB is downexpressed in breast cancers, and it suppresses the proliferation and promotes the apoptosis of breast cancers. However, its role in the progression and prognosis of glioma remains unknown. In this study, we analyzed the clinicopathological features and outcomes of LACTB expression in 98 glioma patients and investigated the effects of LACTB overexpression on the proliferation, invasion, and angiogenesis of glioma cells in vitro. We observed a significant decrease in LACTB expression in glioma, and downexpression of LACTB is correlated with a poor prognosis of glioma patients. Moreover, Cox regression analysis reveals that the LACTB is an independent prognostic indicator for glioma patients. Overexpression of LACTB could suppress the proliferation, invasion, and angiogenesis of glioma cells. In addition, overexpression of LACTB could inhibit the expression of PCNA, MMP2, MMP9, and VEGF. Taken together, these data indicate that LACTB may serve as a promising therapeutic target for gliomas.

Impact of Coping and Communication Skills Program on Physician Burnout, Quality of Life, and Emotional Flooding.

BACKGROUND: Physician behaviors that undermine a culture of safety have gained increasing attention as health-care organizations strive to create a culture of safety and reduce medical errors. We developed, implemented, and assessed a course to teach physicians skills regarding effective coping and interpersonal communication skills and present our results regarding outcomes. METHODS: We examined a professional development program specifically designed to address unprofessional or distressed behaviors of physicians, and we evaluated the impact on burnout, quality of life, and emotional flooding scores of the physicians. Assessments of burnout, quality of life, and emotional flooding were assessed preintervention and postintervention. RESULTS: Results demonstrated statistically significant reductions over time in physicians' emotional flooding and emotional exhaustion (EE). Specifically, using a Wilcoxon Signed-Rank test, results revealed that flooding scores at follow-up were statistically significantly lower than at baseline, V = 590, p < 0.05, and EE and personal accomplishment distributions were found to significantly deviate from normal as indicated by Shapiro-Wilks tests (p < 0.05). A Wilcoxon signed-rank test indicated that EE scores were significantly higher at baseline compared to follow-up 1, V = 285, p < 0.05. CONCLUSION: We conclude that the physician participants who enrolled in the educational skills training program improved scores on emotional flooding and EE and that this may be indicative of improved skills related to their experiences and learning in the program. These improved skills in physicians may have a positive impact on the overall culture of safety in the health system setting.

Layered Structure Produced Nonconcentration Quenching in a Novel Eu3+-Doped Phosphor.

Energy migration (energy transfer among identical luminescence centers) is always thought to be related to the concentration quenching in luminescence materials. However, the novel Eu3+-doped Ba6Gd2Ti4O17 phosphor seems to be an exception. In the series of Ba6Gd2(1- x)Ti4O17: xEu3+ ( x = 0.1, 0.3, 0.5, 0.7, and 0.9) phosphors prepared and investigated, no concentration quenching is found. Detailed investigations of the crystal structure and the luminescence properties of Ba6Gd2(1- x)Ti4O17: xEu3+ reveal that the nonoccurrence of concentration quenching is related to the dimensional restriction of energy migration inside the crystal lattices. In Ba6Gd2Ti4O17, directly increasing the number of Eu3+ ions to absorb as much excitation energy as possible allows to achieve a higher brightness. The highly Eu3+-doped Ba6Gd2(1- x)Ti4O17: xEu3+ ( x = 0.9) sample can convert near-UV excitation into red light, whose Commission Internationale de l'Eclairage (CIE) coordinates are (0.64, 0.36) and the color purity can reach up to 94.4%. Moreover, warm white light with the CIE chromaticity coordinates of (0.39, 0.39), the correlated color temperature of 3756 K, and the color rendering index of 82.2 is successfully generated by fabricating this highly Eu3+-doped phosphor in a near-UV light-emitting diode chip together with the green YGAB:Tb3+ and blue BAM:Eu2+ phosphors.

White Light Emission and Enhanced Color Stability in a Single-Component Host.

Eu3+ ion can be effectively sensitized by Ce3+ ion through an energy-transfer chain of Ce3+-(Tb3+) n-Eu3+, which has contributed to the development of white light-emitting diodes (WLEDs) as it can favor more efficient red phosphors. However, simply serving for WLEDs as one of the multicomponents, the design of the Ce3+-(Tb3+) n-Eu3+ energy transfer is undoubtedly underused. Theoretically, white light can be achieved with extra blue and green emissions released from Ce3+ and Tb3+. Herein, the design of the white light based on these three multicolor luminescence centers has been realized in GdBO3. It is the first time that white light is generated via accurate controls on the Ce3+-(Tb3+) n-Eu3+ energy transfer in such a widely studied host material. Because the thermal quenching rates of blue, green, and red emissions from Ce3+, Tb3+, and Eu3+, respectively, are well-matched in the host, this novel white light exhibits superior color stability and potential application prospect.

Identification of new antibacterial targets in RNA polymerase of Mycobacterium tuberculosis by detecting positive selection sites.

Bacterial RNA polymerase (RNAP) is an effective target for antibacterial treatment. In order to search new potential targets in RNAP of Mycobacterium, we detected adaptive selections of RNAP related genes in 13 strains of Mycobacterium by phylogenetic analysis. We first collected sequences of 17 genes including rpoA, rpoB, rpoC, rpoZ, and sigma factor A-M. Then maximum likelihood trees were constructed, followed by positive selection detection. We found that sigG shows positive selection along the clade (M. tuberculosis, M. bovis), suggesting its important evolutionary role and its potential to be a new antibacterial target. Moreover, the regions near 933Cys and 935His on the rpoB subunit of M. tuberculosis showed significant positive selection, which could also be a new attractive target for anti-tuberculosis drugs.

Editor's Highlight: lncRNAL20992 Regulates Apoptotic Proteins to Promote Lead-Induced Neuronal Apoptosis.

Lead is a heavy metal pollutant that is widely present in the environment and can seriously harm human health, especially the nervous system. Long noncoding RNAs (lncRNAs) play important roles in many physiological and pathological processes; however, there remains a lack of in-depth studies on the molecular mechanisms associated with lead neurotoxicity. Here, our results showed that lead exposure inhibited cell proliferation and promoted cell apoptosis. We observed that lncRNAL20992 was significantly upregulated in a lead-induced neuronal-injury cell model according to quantitative reverse transcription polymerase chain reaction. Silencing lncRNAL20992 revealed its significant functions involved in promoting cell apoptosis and inhibiting cell proliferation according to cell-counting kit-8, EdU assay, terminal deoxynucleotidyl transferase dUTP nick-end labeling, and western blot. To elucidate the molecular mechanisms of lncRNAL20992, we used RNA pulldown mass spectrometry combined with bioinformatics analysis to discover 4 proteins (AIFM1, HSP7C, GRP78, and LMNA) that interacted with lncRNAL20992. Western blot analysis indicated that lncRNAL20992 involved in lead-induced neuronal injury was mediated by the 4 proteins. Our study constitutes the first investigation of the functions and related mechanisms of lncRNAL20992 and offered valuable insight into understanding the roles of lncRNA in lead-induced neurotoxicity.

[Role of serum S1P levels during asthma attack in the evaluation of asthma severity].

OBJECTIVE: To observe the changes of serum sphingosine-1-phosphate (S1P) level in asthmatic patients with different severity of bronchial asthma, and to explore the evaluation value of S1P on the severity of asthma. METHODS: A prospective observational study was conducted. Fifty-two patients with asthma admitted to Department of Respiratory Medicine of the First Affiliated Hospital of Jiamusi University from November 2015 to January 2017 were enrolled. According to the severity of the disease, the patients were divided into mild, moderate and severe groups. In the same period, 25 healthy subjects were served as healthy control group. All the subjects got the peripheral venous blood collection in the morning fasting, the level of serum S1P was determined by enzyme linked immunosorbent assay (ELISA), the peripheral blood eosinophil (EOS) was counted, and the pulmonary function test was performed. The correlation among the parameters was analyzed by Pearson correlation analysis. Receiver operating characteristic curve (ROC) was plotted, and the value of serum S1P on evaluating the severity of asthma was analyzed. RESULTS: Fifty-two asthma patients were enrolled, including 17 patients of the mild, 19 of the moderate, and 16 of the severe. Compared with the healthy control group, serum S1P level and peripheral blood EOS in different degree asthma groups were significantly increased, and forced expiratory volume in 1 second (FEV1) was decreased significantly; and with asthma exacerbations, serum S1P levels and peripheral blood EOS were gradually increased [mild, moderate and severe S1P (nmol/L) were 1 537.0±120.3, 1 980.7±149.5, 2 202.2±117.2 (F = 274.624, P = 0.001); EOS (×109/L) were 0.13±0.06, 0.20±0.07, 0.37±0.14 , respectively (F = 44.093, P = 0.001)], and FEV1 was decreased gradually [mild, moderate and severe were 0.89±0.05, 0.63±0.06, 0.42±0.10, respectively (F = 159.756, P = 0.001)]. Correlation analysis showed that there were significant positive correlations between serum S1P level and peripheral blood EOS in patients with mild, moderate and severe asthma (r value was 0.696, 0.746, 0.508, all P < 0.05), and negatively correlations with FEV1 were found (r value was -0.761, -0.655, -0.815, all P < 0.01). There was no significant correlation between serum S1P level and EOS, FEV1 in healthy control group (r value was 0.324 and -0.048, both P > 0.05). ROC curve analysis showed that the area under curve (AUC) of serum S1P for assessing mild, moderate and severe asthma was 0.948, 1.000, 1.000, respectively; when the cut-off of S1P was 1 181.8, 1 534.2, 1 708.6 nmol/L, the sensitivity was 88.2%, 100%, 100%, and the specificity was 88.0%, 100% and 100%, respectively. CONCLUSIONS: During asthma attack, the serum S1P level was gradually increased with the exacerbation of the disease. Serum S1P level has significant evaluative effect on the severity of asthma.

LncRNA LINC00341 mediates PM2.5-induced cell cycle arrest in human bronchial epithelial cells.

Fine particulate matter (PM2.5) could adhere to many toxic substances and cause respiratory diseases.However, the associated pathogenic mechanism remains unclear. In this study, we investigated the effects of PM2.5 on cell cycle progression in human bronchial epithelial cells (16HBE) and the underlying mechanism mediated by lncRNAs. PM2.5 treatment inhibited cell proliferation in 16HBE cells in a dose-dependent manner. The results of flow cytometry assay (FCM) showed that PM2.5 induced cell apoptosis and cell cycle arrest at G2/M phase. The lncRNA microarray analysis indicated that treatment with PM2.5 led to the alteration of lncRNA expression profiles. qRT-PCR were performed to confirm the differential expression of several candidate lncRNAs. lncRNA LINC00341 was significantly up-regulated in 16HBE cell after PM2.5 treatment. Further functional studies showed that knockdown of lncRNA LINC00341 reversed PM2.5-induced G2/M phase cell cycle arrest and p21 expression. These results suggest that up-regulation of the lncRNA LINC00341 mediates PM2.5-induced cell cycle arrest at the G2/M phase, and probably through regulating the expression of p21.

Efficient energy transfer and luminescence properties of Ca3Y(GaO)3(BO3)4:Tb3+,Eu3+ as a green-to-red colour tunable phosphor under near-UV excitation.

A series of Ca3Y(GaO)3(BO3)4:Tb3+,Eu3+ phosphors were prepared by a high-temperature solid-state reaction. Their phase structures were confirmed by powder X-ray diffraction and the element distribution was measured using transmission electron microscopy elemental mapping. The photoluminescence emission and excitation spectra and fluorescence lifetime were studied and discussed in detail. The results revealed that Eu3+ ions can be efficiently sensitized by Tb3+ ions under near-UV excitation. In addition, the energy transfer efficiency can be controlled by adjusting the ratio of Eu3+ and Tb3+ to realize colour tunable emission from green to red. For Ca3Y(GaO)3(BO3)4:0.50Tb3+,0.10Eu3+, the emission intensity at 425 K is 78.11% of that at 300 K, being available to near-UV LEDs.