MALDI mass spectrometry imaging discloses the decline of sulfoglycosphingolipid and glycerophosphoinositol species in the brain regions related to cognition in a mouse model of Alzheimer's disease.

Aging and neurodegenerative disease are accompanied by lipid perturbations in the brain. Understanding the changes in the contents and functional activity of lipids remains a challenge not only because of the many areas in which lipids perform bioactivities but also because of the technical limitations in identifying lipids and their metabolites. In the present study, we aimed to evaluate how brain lipids are altered in Alzheimer's disease (AD)-like pathology by using mass spectrometry imaging (MSI). The spatial distributions and relative abundances of lipids in the brains were compared between APP/PS1 mice and their age-matched wild-type (WT) mice by matrix-assisted laser desorption ionization (MALDI) MSI assays. The comparisons were correlated with the analysis using a spectrophotometric method to determine the relative contents of sulfatides in different brain regions. Significant changes of brain lipids between APP/PS1 and WT mice were identified: eight sulfoglycosphingolipid species, namely, sulfatides/sulfated hexosyl ceramides (ShexCer) and two glycerophosphoinositol (GroPIn) species, PI 36:4 and PI 38:4. The declines in the spatial distributions of these ShexCer and GroPIn species in the APP/PS1 mice brains were associated with learning- and memory-related brain regions. Compared with young WT mice, aged WT mice showed significant decreases in the levels of these ShexCer and GroPIn species. Our results provide technical clues for assessing the impact of brain lipid metabolism on the senescent and neurodegenerative brain. The decline in sulfatides and GroPIns may be crucial markers during brain senescence and AD pathology. Appropriate lipid complementation might be important potentials as a therapeutic strategy for AD.

Comparison of Direct and Extraction Immunoassay Methods With Liquid Chromatography-Tandem Mass Spectrometry Measurement of Urinary Free Cortisol for the Diagnosis of Cushing's Syndrome.

Background: Twenty-four-hour urinary free cortisol (UFC) measurement is the initial diagnostic test for Cushing's syndrome (CS). We compared UFC determination by both direct and extraction immunoassays using Abbott Architect, Siemens Atellica Solution, and Beckman DxI800 with liquid chromatography-tandem mass spectrometry (LC-MS/MS). In addition, we evaluated the value of 24-hr UFC measured by six methods for diagnosing CS. Methods: Residual 24-hr urine samples of 94 CS and 246 non-CS patients were collected. A laboratory-developed LC-MS/MS method was used as reference. UFC was measured by direct assays (D) using Abbott, Siemens, and Beckman platforms and by extraction assays (E) using Siemens and Beckman platforms. Method was compared using Passing-Bablok regression and Bland-Altman plot analyses. Cut-off values for the six assays and corresponding sensitivities and specificities were calculated by ROC analysis. Results: Abbott-D, Beckman-E, Siemens-E, and Siemens-D showed strong correlations with LC-MS/MS (Spearman coefficient r=0.965, 0.922, 0.922, and 0.897, respectively), while Beckman-D showed weaker correlation (r=0.755). All immunoassays showed proportionally positive bias. The areas under the curve were 0.975 for Abbott-D, 0.972 for LC-MS/MS, 0.966 for Siemens-E, 0.948 for Siemens-D, 0.955 for Beckman-E, and 0.877 for Beckman-D. The cut-off values varied significantly (154.8-1,321.5 nmol/24 hrs). Assay sensitivity and specificity ranged from 76.1% to 93.2% and from 93.0% to 97.1%, respectively. Conclusions: Commercially available immunoassays for measuring UFC show different levels of analytical consistency compared to LC-MS/MS. Abbott-D, Siemens-E, and Beckman-E have high diagnostic accuracy for CS.

Recombinant oncolytic adenovirus armed with CCL5, IL-12, and IFN-γ promotes CAR-T infiltration and proliferation in vivo to eradicate local and distal tumors.

The efficacy of chimeric antigen receptor T (CAR-T) cells for solid tumors remains unsatisfactory due to the limited tumor infiltration and immunosuppressive microenvironment. To overcome these limitations, the genetically engineered recombinant oncolytic adenoviruses (OAVs) that conditionally replicate in tumor cells were developed to modify the tumor microenvironment (TME) to facilitate CAR-T-mediated tumor eradication. Here in the present study, a novel recombinant OAV carrying CCL5, IL12, and IFN-γ controlled by Ki67 promoter was constructed (named AdKi67-C3). The antitumor activity of AdKi67-C3 was tested in vitro and in vivo by using mono administration or combing with CAR-T cells targeting B7H3. It proved that CCL5 expressed by AdKi67-C3 indeed induced more CAR-T migration in vitro and CAR-T infiltration in tumor mass in vivo. Meanwhile, cytokines of IFN-γ and IL12 secreted by AdKi67-C3-infected tumor cells significantly promoted proliferation and persistence of CAR-T cells in vitro and in vivo. In tumor-bearing xenograft mouse models of kidney, prostate or pancreatic cancer, local pretreatment with AdKi67-C3 dramatically enhanced CAR-T cell efficacy and eliminated local and distant tumors. More importantly, mice achieving complete tumor regression resisted to re-challenge with the same tumor cells, suggesting establishment of long-term antitumor immune response. Therefore, OAVs armored with cytokines could be developed as a bioenhancer to defeat the immunosuppressive microenvironment and improve therapeutic efficacy of CAR-T in solid tumors.

Artistic expression and data protection: Balancing aesthetics with data privacy in IoT.

Integrating Internet of Things (IoT) technologies in art design has created new possibilities for artists to create immersive and interactive experiences. However, data collection, analysis, and utilization in IoT art installations raise significant security and privacy concerns. Additionally, incorporating differential privacy techniques in IoT art installations poses optimization challenges. This paper explores optimizing differential privacy budgets based on deep learning in IoT art installations. By leveraging deep learning models, privacy budgets can be dynamically allocated to preserve individual privacy while maintaining the aesthetic integrity of the artwork. In light of this, a deep learning-based differential privacy budget optimization strategy for IoT art installations is suggested. This method adaptively distributes various budgets by the iterative change law of parameters. A regularization term is provided to limit the disturbance term to avoid the issue of excessive noise. This stops the neural network from overfitting and also assists in learning the model's salient characteristics. The capacity of the model to generalize is effectively improved by the suggested strategy, according to experiments. The accuracy difference between the model trained with noise and the model trained with original data is less than 0.5% as the number of iterations increases. Therefore, the proposed method can protect the user's privacy, effectively ensure the model's availability, and achieve the balance between privacy and availability. This accuracy ensures that the installation functions as intended and delivers the desired aesthetic impact, enabling artists to convey their artistic message effectively.

Pyrene-Based Cationic Fluorophores with High Affinity for BF4-, PF6-, and ClO4- Anions: Detection and Removal.

Anions play an indispensable role in the balance and regulation of the ecological environment and human health; however, excess anions can cause serious ecological and environment problems. Therefore, the detection and removal of excess anions in aqueous solution is not only a technological problem but also crucial for environmental protection. Herein, a set of water-soluble pyrene-based cationic fluorophores were synthesized, which exhibit high sensitivity for the detection of the anions BF4-, PF6-, and ClO4- via electrostatic interactions. Such fluorescent probes exhibit "turn-on" emission characteristics even at low concentrations of anions due to anion-π+ interactions. Moreover, these fluorescence probes act as efficient precipitating agents for the removal of the BF4-, PF6-, and ClO4- anions from an aqueous environment. This work opens up new avenues for future research on pyrene-based fluorophores as turn-on fluorescence probes for anion detection and as excellent precipitating agents in environmental settings.

Design, synthesis, biological evaluation and molecular docking study of novel pleuromutilin derivatives containing substituted benzoxazole as antibacterial agents.

A series of pleuromutilin analogs containing substituted benzoxazole were designed, synthesised, and assessed for their antibacterial activity both in vivo and in vitro. The MIC of the synthesised derivatives was initially assessed using the broth dilution method against four strains of Staphylococcus aureus (MRSA ATCC 43300, S. aureus ATCC 29213, clinical isolation of S. aureus AD3 and S. aureus 144). Most of the synthesised derivatives displayed prominent in vitro activity (MIC ≤ 0.5 µg/mL). Compounds 50 and 57 exhibited the most effective antibacterial effect against MRSA (MIC = 0.125 µg/mL). Furthermore, the time-kill curves showed that compounds 50 and 57 had a certain inhibitory effect against MRSA in vitro. The in vivo antibacterial activity of compound 50 was evaluated further using a murine thigh model infected with MRSA (-1.24 log10CFU/mL). Compound 50 exhibited superior antibacterial efficacy to tiamulin. It was also found that compound 50 did not display significant inhibitory effect on the proliferation of RAW 264.7 cells. Molecular docking study revealed that compound 50 can effectively bind to the active site of the 50S ribosome (the binding free energy -7.50 kcal/mol).

Hypervirulent Klebsiella pneumoniae detection methods: a minireview.

Hypervirulent Klebsiella pneumoniae (hvKp), characterized by high virulence and epidemic potential, has become a global public health challenge. Therefore, improving the identification of hvKp and enabling earlier and faster detection in the community to support subsequent effective treatment and prevention of hvKp are an urgent issue. To address these issues, a number of assays have emerged, such as String test, Galleria mellonella infection test, PCR, isothermal exponential amplification, and so on. In this paper, we have collected articles on the detection methods of hvKp and conducted a retrospective review based on two aspects: traditional detection technology and biomarker-based detection technology. We summarize the advantages and limitations of these detection methods and discuss the challenges as well as future directions, hoping to provide new insights and references for the rapid detection of hvKp in the future. The aim of this study is to focus on the research papers related to Hypervirulent Klebsiella pneumoniae involving the period from 2012 to 2022. We conducted searches using the keywords "Hypervirulent Klebsiella pneumoniae, biomarkers, detection techniques" on ScienceDirect and Google Scholar. Additionally, we also searched on PubMed, using MeSH terms associated with the keywords (such as Klebsiella pneumoniae, Klebsiella Infections, Virulence, Biomarkers, diagnosis, etc.).

Analysis of the alleviating effect of modified Huangqi Chifeng decoction on rats with focal segmental glomerulosclerosis based on gut microbiota and fecal metabolomics.

AIMS: To investigate the reno-protective effects of modified Huangqi Chifeng decoction (MHCD) on focal segmental glomerulosclerosis (FSGS) rats, and the underlying mechanisms of systemic regulation of gut microbiota and metabolite profiles. METHODS AND RESULTS: A rat FSGS model was established via unilateral nephrectomy plus doxorubicin injections. Rats were divided into sham, FSGS, and MHCD groups from which urine, blood, and histological tests were conducted. Fecal microbiotas were identified via 16S rRNA gene sequencing. Fecal metabolomics allowed for metabolic pathways analysis. Biochemical indices and pathological examination revealed that MHCD treatment improved the symptoms of FSGS, and corrected dysbiosis of gut microbiota, enriched the abundance of Bifidobacterium, Odoribacter, Christensella, Oscillospira, and reduced that of harmful bacteria such as Collinsella and Coprobacterilus at the genus level. Fecal metabolomic profiles revealed 152 different metabolites between the FSGS and sham groups, which are mainly enriched in signaling pathways like arachidonic acid, serotonergic synapse, and oxytocin. Besides, 93 differential metabolites between MHCD and FSGS groups were identified, which are mainly enriched in signaling pathways like steroid hormone biosynthesis, prostate cancer, and linoleic acid metabolism. Spearman's correlation analysis showed a correlation between differential fecal metabolites and enriched gut microbiota or serum biochemical parameters. CONCLUSIONS: MHCD may exert a reno-protective effect by regulating the gut microbiome and metabolite profiles in FSGS rats.

Approach for quick exploration of highly effective broad-spectrum biocontrol strains based on PO8 protein inhibition.

Aflatoxin is a group of strongly toxic and carcinogenic mycotoxins produced by Aspergillus flavus and other Aspergillus species, which caused food contamination and food loss problems widely across the world especially in developing countries, thus threatening human health and sustainable development. So, it is important to develop new, green, and broad-spectrum biocontrol technology for the prevention of aflatoxin contamination sources. Previously, we found that the PO8 protein from aflatoxigenic A. flavus could be used as a biomarker to predict aflatoxin production in peanuts (so the PO8 is named as an early warning molecule), which infers that the PO8 is relative to aflatoxin production. Therefore, in the study, based on inhibiting the PO8, a new and quick strategy for screening aflatoxin biocontrol strains for developing control agents was presented. With the PO8 inhibition method, four biocontrol strains (2 strains were isolated from peanut kernels with sterilized surface and another 2 strains from peanut rhizosphere soil) were selected and combined to increase prevention wide-spectrum. As a result, the combination showed over 90% inhibition to all tested aflatoxigenic A. flavus isolated from three different peanut production areas (north, middle, and south areas of China), and better than any single strain. The field experiments located in five provinces of China showed that the practice prevention effects (inhibition of aflatoxigenic fungi on the surface of the peanuts) were from 50% to over 80%. The results indicated that the strategy of inhibiting the early warning molecule PO8 can be used to develop aflatoxin control agents well.

Elucidating the Volcanic-Type Catalytic Behavior in Lithium-Sulfur Batteries via Defect Engineering.

Defects are generally considered to be effective and flexible in the catalytic reactions of lithium-sulfur batteries. However, the influence of the defect concentration on catalysis remains ambiguous. In this work, molybdenum sulfide with different sulfur vacancy concentrations is comprehensively modulated, showing that the defect level and the adsorption-catalytic performance result in a volcano relationship. Moreover, density functional theory and in situ experiments reveal that the optimal level of sulfur defects can effectively increase the binding energy between molybdenum sulfide and lithium polysulfides (LiPSs), lower the energy barrier of the LiPS conversion reaction, and promote the kinetics of Li2S bidirectional catalytic reaction. The lower bidirectional catalytic performance incited by excessive or deficient sulfur defects is mainly due to the deformed geometrical structures and reduced adsorption of key LiPSs on the catalyst surface. This work underscores the imperative of controlling the defect content and provides a potential approach to the commercialization of lithium-sulfur batteries.

In-hospital changes in the red blood cell distribution width and mortality in critically ill patients with heart failure.

AIMS: A high red blood cell distribution width (RDW) at admission or discharge is associated with a worse prognosis in hospitalized patients with heart failure (HF), and the prognostic value of the in-hospital change in RDW (∆RDW) remains debatable. METHODS AND RESULTS: We included 5514 patients with critical illness and HF from the MIMIC-IV database. The ΔRDW was calculated by the RDW at discharge minus that at admission. Clinical outcomes included all-cause mortality at 90 day, 180 day, and 1 year after discharge. The median age of the patients was 73.91 years, and 46.37% were women. Kaplan-Meier curve and Cox regression analyses were used to examine the association between the ΔRDW and all-cause mortality at different time points. A multivariable Cox proportional hazard model showed that the ΔRDW (per 1% increase) was independently associated with all-cause mortality at 90 day, 180 day, and 1 year after adjusting for confounding factors (hazard ratio [HR] = 1.17, 95% confidence interval [CI] = 1.13-1.21, P < 0.001; HR = 1.17, 95% CI = 1.14-1.20, P < 0.001; and HR = 1.18, 95% CI = 1.15-1.20, P < 0.001, respectively). Restricted cubic splines showed a non-linear relationship between the ΔRDW and the risk of clinical outcomes. High ΔRDW was associated with a high risk of mortality at different time points. A subgroup analysis showed that this positive association remained consistent in pre-specified subgroups. CONCLUSIONS: Our study suggests that an increased RDW during hospitalization is independently associated with short- or long-term all-cause mortality in critical-ill patients with HF.

"One-to-many" signal-output strategy-based CRISPR/Cas12a system for sensitive label-free fluorescence detection of HBV-DNA.

Although CRISPR/Cas12a systems significantly enhance the analytical accuracy and flexibility of fluorescent biosensors, their sensitivity is limited by traditional "one-to-one" mediation types and ineffective signal-output turnover routes. Herein, we demonstrate a "one-to-many" signal-output strategy-based CRISPR/Cas12a systems resembling a "seaweed" to enhance the sensitivity. Based on dendrimer DNA from high-dimensional hybridization chain (HCR) of three hairpin-free DNA building blocks, the 3D magnetic DNA machine was created. The HBV-DNA initiates the rolling circle amplification (RCA) reaction and produces DNA nanowires to activate the CRISPR/Cas12a system. The trans-cleavage of the "seaweed root" by CRISPR/Cas12a system left dendrimer DNA in solution, thus, adding SYBR Green I (SG I) to the high-density DNA duplexes, achieving multiple-turnover label-free fluorescence signal output demonstrated and a low LOD (1.502 pM). However, in the absence of target, the blocked RCA failed to activate the CRISPR/Cas12a system, resulting in complete separation from substrate and negligible fluorescence signals. Moreover, the mandatory RCA-based pre-amplification of the DNA activator could efficiently trigger the multiple-turnover trans-cleavage activity of Cas12a. it can cleave one single-stranded linker of "seaweed-like" DNA machine, thereby releasing massive DNA duplex-enriched dendrimer DNA with a "one-to-many" signal-output turnover. By coupling the periodically extended Cas12a activator generated by RCA with hyperbranched DNA duplex by high-dimensional HCR, compact 3D extension structures were formed, achieving high-density fluorescence distribution in focal volume, avoiding signal dilution and ensuring high enhancement. Additionally, spiked recoveries in physiological media exceeded 95%, demonstrating the potential application of such platforms in clinical diagnosis.

NAD+ rescues aging-induced blood-brain barrier damage via the CX43-PARP1 axis.

Blood-brain barrier (BBB) function deteriorates during aging, contributing to cognitive impairment and neurodegeneration. It is unclear what drives BBB leakage in aging and how it can be prevented. Using single-nucleus transcriptomics, we identified decreased connexin 43 (CX43) expression in cadherin-5+ (Cdh5+) cerebral vascular cells in naturally aging mice and confirmed it in human brain samples. Global or Cdh5+ cell-specific CX43 deletion in mice exacerbated BBB dysfunction during aging. The CX43-dependent effect was not due to its canonical gap junction function but was associated with reduced NAD+ levels and mitochondrial dysfunction through NAD+-dependent sirtuin 3 (SIRT3). CX43 interacts with and negatively regulates poly(ADP-ribose) polymerase 1 (PARP1). Pharmacologic inhibition of PARP1 by olaparib or nicotinamide mononucleotide (NMN) supplementation rescued NAD+ levels and alleviated aging-associated BBB leakage. These findings establish the endothelial CX43-PARP1-NAD+ pathway's role in vascular aging and identify a potential therapeutic strategy to combat aging-associated BBB leakage with neuroprotective implications.

Natural and recyclable alginate hydrogels as extracting media for recovering valuable metals of spent lithium-ion batteries from a deep eutectic solvent.

With the aim of achieving carbon neutrality, new policies to promote electric vehicle (EV) deployment have been announced in various countries. As EV sales gain market-share, the demand for batteries is growing very rapidly, and this has raised concerns about the raw-material supply. Therefore, efficient and environmentally friendly recycling methods for lithium-ion batteries (LIBs) are mandatory to properly implement circular economy paradigms in this field. Hydrometallurgical recycling methods are characterized by their selectivity, high product purity as well as low energy consumption. In order to accomplish a close-loop recycling method, in this work we propose the use of a deep eutectic solvent (DES) and alginate hydrogels as leaching reagent and adsorbent, respectively, for their reusability, availability and biodegradability. The solubility and thermal stability of a choline chloride-ethylene glycol based DES (choline chloride: ethylene glycol = 1:2) were investigated, 180 °C being regarded as the temperature threshold for this DES, and reaching up to 1.12gCoL-1 solubility after 8 h leaching. Moreover, the DES can be reused after the eutectic state recreation with a performance over 80% with respect to the pristine DES. Calcium cross-linked sodium alginate hydrogels, which were immersed in ethylene glycol and dehydrated afterwards, were able to extract cobalt from the leachate with an efficiency of 92%. The aforementioned hydrogels can be reused after desorption and reach 91% of the performance of the pristine ones. The DES together with alginate hydrogel brings therefore a highly efficient and reusable close-loop recycling method.

Radiomic Analysis Based on Gd-EOB-DTPA Enhanced MRI for the Preoperative Prediction of Ki-67 Expression in Hepatocellular Carcinoma.

RATIONALE AND OBJECTIVES: To develop and validate a random forest model based on radiomic features in Gd-EOB-DTPA enhanced MRI for predicting the Ki-67 expression in solitary HCC. MATERIALS AND METHODS: This retrospective study analyzed 258 patients with solitary HCC. Significant clinicoradiological factors were identified through univariate and multivariate analyses for distinguishing HCC with high (>20%) and low (≤20%) Ki-67 expression. Radiomic features were extracted at Gd-EOB-DTPA enhanced MRI. The recursive feature elimination (RFE) strategy was employed to screen robust radiomic features, and the Random Forest (RF) algorithm was utilized to rank radiomic features and construct prediction models. The AUC, accuracy, precision, recall, and f1-score were used to evaluate the performance of RF models. RESULTS: Multivariate analysis identified serum AFP level, tumor size, growth type, and peritumoral enhancement as independent predictors for HCC with high Ki-67 expression. The clinicoradiological-radiomic model that incorporated the clinicoradiological predictors and the top ten radiomic features outperformed the clinicoradiological model in the training set (AUCs 0.876 vs. 0.780; p < 0.001), though the test set did not have a statistical significance (AUCs 0.809 vs. 0.723; p = 0.123). The addition of clinicoradiological predictors did not yield a significant improvement in the performance of radiomic features in both sets (training, p = 0.692; test, p = 0.229). Decision curve analysis further confirmed the clinical utility of the RF models. CONCLUSION: The RF models based on radiomic features of Gd-EOB-DTPA enhanced MRI achieved satisfactory performance in preoperatively predicting Ki-67 expression in HCC.

Analysis of pharmacodynamic components, targets and synergistic action mechanism of Fuyuan Shenghua granule for the treatment of medical-induced incomplete abortion based on network pharmacology.

ETHNOPHARMACOLOGICAL RELEVANCE: Fuyuan Shenghua Granule (FYSHG) is a traditional Chinese medicine preparation widely used in our hospital for the treatment of incomplete postpartum uterine repair. However, its pharmacological action, main components, and synergistic mechanism are still unclear. AIM OF THE STUDY: The study aims to verify the pharmacological action, identify the main components and explore the synergistic mechanisms of FYSHG for the treatment of medical-induced incomplete abortion. MATERIALS AND METHODS: The ultra-high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UHPLC-Q-TOF/MS) was employed to identify the main components of FYSHG after extraction with water and methanol. A medical-induced incomplete abortion rat model was established, and the uterine status was evaluated by morphological and H&E staining analysis. The KEGG enrichment analysis and network pharmacology analysis were used to screen the potential synergistic mechanisms of FYSHG. Hemorheological analysis was employed to analyze the blood viscosity and coagulation of FYSHG-treated rats. The ELISA was used to measure the concentration of E2, progesterone, RCG, IL-1, IL-6, and TNF. The Western blot analysis was employed to measure the protein expression of p38 and NF-κB signaling pathways. RESULTS: A total 106 of components of FYSHG were identified and characterized rapidly by UHPLC-Q-TOF/MS technology. Intragastric administration of FYSHG could play a role in promoting uterine involution in rats with medical-induced incomplete abortion. The analysis of its components and targets by network pharmacology showed that the synergetic effect of FYSHG on anti-uterine involution mainly focused on anti-inflammatory, anticoagulant, and hormone regulation. ELISA and Western blot analysis showed that FYSHG mainly inhibited the protein expression of p38 and NF-κB signaling pathways. CONCLUSIONS: Our study suggested that FYSHG suppressed the p38 and NF-κB signaling pathway to alleviate inflammation, regulate coagulant function, and correct hormone level, which might contribute to the treatment of medical-induced incomplete abortion.

[Phytoplankton Community Structure, Diversity, and Functional Groups in Urban River Under Different Black and Odorous Levels].

Phytoplankton community characteristics, diversity, and functional group analysis can respond to the environmental quality status of water bodies. To investigate the influence of urban river black odors on the phytoplankton community, from November 2020 to March 2021, 16 urban rivers in the Sichuan Basin were surveyed for water quality with 38 sampling points, and the degree of urban river black odor was evaluated based on the improved fuzzy mathematical model method and the k-mean principal color extraction method. The rivers were classified into four types:non-black and non-odorous, black and non-odorous, black and odorous, and black and odorous. The results showed that, with black and odorous water, the phytoplankton abundance increased from 1.329×105 cells·L-1 to 6.627×105 cells·L-1, and the dominant phytoplankton phylum decreased from Cyanophyta-Chlorophyta-Bacillariophyta to Cyanophyta. The phytoplankton biomass increased from 64.056 µg·L-1 to 120.465 µg·L-1, and the dominant phytoplankton phylum changed from Chlorophyta-Bacillariophyta type, adapted to a nutrient environment, to Pyrrophyta-Bacillariophyta-Cryptophyta type, adapted to an organic matter environment. The Shannon-Weaver diversity index decreased from 2.45 to 1.98, and Simpson's index decreased from 0.84 to 0.73. Twenty nine functional groups of phytoplankton were observed in the study area, and the growth strategy was reduced from S, R, C, CR, and CS to R with black and odorous water. In summary, phytoplankton indicators can better reflect the state of river black odor, and phytoplankton monitoring is a promising tool for urban river black odor management.

Bioinformatics analysis identifies the protective targets of omentin in mice with focal cerebral ischemia injury.

Omentin is known to play a protective role in ischemic stroke. However, its regulatory networks and downstream targets in the pathogenesis of IS are incompletely revealed now. In this study, the model of photochemical brain ischemia was constructed after omentin over-expression. 8 key differentially expressed genes (DEGs) were obtained and analyzed by transcriptome analysis. These DEGs were mainly related to the negative regulation of hormone secretion, cellular phosphate ion homeostasis, and other pathways. Moreover, the mRNA expression of predicted gene 3435 (Gm3435), ankyrin repeat domain 53 (Ankrd53), fibroblast growth factor 23 (Fgf23) and the Fgf23 protein expression were down-regulated after omentin over-expression in HT22 cells injured by oxygen-glucose deprivation (OGD). In conclusion, our findings identified 8 key DEGs regulated by omentin after IS. In vitro models, the Gm3435, Ankrd53, Fgf23 mRNA expression and the Fgf23 protein expression were further verified to consistent with the transcriptomics results.

High-sensitivity fiber optic Fabry-Perot ultrasonic sensor based on a grooved silicon diaphragm for partial discharge detection.

An extrinsic fiber optic Fabry-Perot interferometric (EFPI) ultrasonic sensor based on a grooved silicon diaphragm for partial discharge (PD) detection has been proposed. The size of the groove is determined by finite element simulation, which allows the resonant frequency of the sensor to meet the requirements of PD ultrasonic detection and improves the sensitivity of the sensor by 5.07 times compared with that based on a traditional circular diaphragm. The microelectro-mechanical system process is used to fabricate the diaphragm on a silicon-on-insulator wafer, and the prepared diaphragm has a grooved section with a diameter of 829.34 µm and a thickness of only 2.09 µm. At its resonant frequency of 61.5 kHz, the acoustic pressure sensitivity of the sensor is 172.42 mV/Pa. The ultrasonic signal detection capability of the sensor is verified in the PD experiment. Furthermore, the characteristics of the corona discharge are successfully manifested based on the ultrasonic waves detected by the EFPI sensor. It is demonstrated that the proposed sensor is suitable for PD detection due to its high sensitivity, simple production process, and good resistance to environmental interference.

[Research Progress on Distribution Characteristics and Formation Mechanisms of Microplastics in the Environment].

The extensive application of plastic products leads to the increasingly significant harm of plastic wastes to the ecological environment, which is also a focus of global environmental issues. Due to the lack of a sound plastic waste management system, most plastic waste is still treated by the traditional mode or remains in the environment, with low recycling efficiency, and the plastic life cycle has not yet formed. Plastics in the environment will age and degrade under the actions of physical (wear, waves), chemical (ultraviolet radiation, hydrolysis), and biological (fungi, bacteria) factors for a long time and generate micro (nano) plastics. Due to their small particle size, large specific surface area, and charged characteristics, in addition to their own toxicity, they can also be used as carriers or covert carriers of pollutants (heavy metals, persistent organic pollutants, polycyclic aromatic hydrocarbons, bacteria, etc.) to migrate in the environment through runoff, sewage discharge, and hydrometeorology, causing ecological environmental pollution. MPs pollution has been listed as the second largest scientific problem in the field of environmental and ecological science by the United Nations Environment Programme. MPs are widely distributed, and there are different degrees of MPs pollution in the global water (freshwater, ocean), soil, and atmospheric environment. Traces of MPs have also been found in human placentas, human breastmilk, living lungs, and blood in recent years. Therefore, the formation mechanisms of MPs under the actions of physics, chemistry, and microorganisms, as well as their abundance levels and migration characteristics in water, soil, and atmosphere environment were comprehensively reviewed, with the hope of providing reference for monitoring the pollution levels of MPs in the environment, exploring their transport laws in the environment, proposing the management strategy of MPs pollution, and revealing the degradation mechanisms of MPs under different effects.