Resonant Cell-Based 1f Photoacoustic Gas Analyzer Immune to Light Power Fluctuation and Frequency Mismatch.

To overcome the light power fluctuation and frequency mismatch in photoacoustic spectroscopy (PAS), we proposed a self-corrected 1f-only resonant cell-based PAS (1f-RCPAS) gas analyzer. Based on the theoretical analysis of the 1f signal, a signal processing algorithm considering laser power-current nonlinearity is proposed. The 1f-only algorithm is well-tailored for the resonant systems, requiring no time-division multiplexing. The algorithm is further improved to extend the dynamic range. The T-type resonant cell incorporating a graphene sticker is utilized for effectively amplifying the acoustic signals from both the gas and solid to achieve normalization. No optical path alignment is needed. For the low resonance frequency, a digital orthogonal-vector lock-in amplifier is used, further simplifying the system setup. The gas analyzer is used to measure methane (CH4) with the near-infrared absorption peak at 1651 nm. The experiments demonstrated immunity to fiber coupling loss, laser power drift over time, and frequency mismatch caused by property differences between air and standard gases. The R2 value in the concentration calibration reaches 0.99995, and the minimum detection limit given by the Allan variance reaches 3.5 ppb at an average time of 105 s.

Deficiency of parkin causes neurodegeneration and accumulation of pathological α-synuclein in monkey models.

Parkinson's disease (PD) is characterized by age-dependent neurodegeneration and the accumulation of toxic phosphorylated α-synuclein (pS129-α-syn). The mechanisms underlying these crucial pathological changes remain unclear. Mutations in parkin RBR E3 ubiquitin protein ligase (PARK2), the gene encoding parkin that is phosphorylated by PTEN-induced putative kinase 1 (PINK1) to participate in mitophagy, cause early onset PD. However, current parkin-KO mouse and pig models do not exhibit neurodegeneration. In the current study, we utilized CRISPR/Cas9 technology to establish parkin-deficient monkey models at different ages. We found that parkin deficiency leads to substantia nigra neurodegeneration in adult monkey brains and that parkin phosphorylation decreases with aging, primarily due to increased insolubility of parkin. Phosphorylated parkin is important for neuroprotection and the reduction of pS129-α-syn. Consistently, overexpression of WT parkin, but not a mutant form that cannot be phosphorylated by PINK1, reduced the accumulation of pS129-α-syn. These findings identify parkin phosphorylation as a key factor in PD pathogenesis and suggest it as a promising target for therapeutic interventions.

Association of periodontal disease with the prognosis of chronic kidney disease: A meta-analysis.

BACKGROUND: To assess the association between periodontal disease (PD) and the prognosis of chronic kidney disease (CKD). METHODS: A systematic literature search was conducted using PubMed, Embase, and Cochrane Library to identify eligible cohort studies until April 2023. Relative risk (RR) with a 95% confidence interval (CI) was used to evaluate the strength of the relationship between PD and CKD prognosis using the random-effects model. RESULTS: 10 cohort studies involving 10,144 patients with CKD were selected for the meta-analysis. The summary results indicated that PD was associated with an increased risk of all-cause mortality in patients with CKD (RR:1.32; 95%CI:1.10-1.59; 𝑝 = 0.003). Although no association was observed between PD and the risk of cardiac death in patients with CKD (𝑝 = 0.180), while sensitivity analysis revealed PD may be associated with the risk of cardiac death (RR:1.31; 95%CI:1.05-1.64; 𝑝 = 0.017). In addition, subgroup analyses revealed that the strength of the association of PD with the risks of all-cause mortality and cardiac death varies when stratified by region, male proportion, comparison, CKD stage, and adjusted level. CONCLUSION: Herein, PD might exert a harmful effect on the subsequent risks of all-cause mortality and cardiac death in patients with CKD.

CrSe2 based single-cluster catalysts with controllable charge states for the oxygen reduction and hydrogen evolution reactions.

Development of affordable catalysts for the oxygen reduction reaction (ORR) and hydrogen evolution reaction (HER) represents a central task for advancing electrochemical systems such as fuel cells and metal-air batteries. This study reported the ORR and HER performance of a set of single cluster catalysts (SCCs) with atomically dispersed 3d/4d/5d transition metal cluster (TM3) embedded in a two-dimensional (2D) defective CrSe2 substrate. Distinguishing from the conventional SCCs with positive charge active center, the unique electronegativity discrepancy between the metal clusters and the substrate renders the active center controllable charge states from negative to positive. Our investigations indicate that the TM3 cluster helps tuning the adsorption performance of the intermediates, and therefore enhancing the electrocatalytic activity of the SCCs. Among all the candidates, we demonstrated that the less reported elements of Ir and Ag exhibit the best performance of HER and ORR with low overpotentials of -0.059 and 0.61 V, respectively. Our work provides a prototype to rationally regulate the charge states of catalysts, which could potentially contribute to the development of new kinds of catalysts and serve as a valuable theoretical reference for the experimental rationalization of SCCs.

SZC010 suppresses breast cancer development by regulating the PI3K/Akt/NF-κB signaling pathway.

BACKGROUND: Breast cancer has become one of the leading causes of cancer deaths and is the most frequently diagnosed cancer among females worldwide. Despite advances in breast cancer therapy, metastatic disease in most patients will eventually progress due to the development of de novo or secondary resistance. Thus, it is extremely important to seek novel drugs with high effectiveness and low toxicity for systematic therapy. METHODS: We applied a 3-(4,5-Dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay in this study to analyze and evaluate the cytotoxic activity of oleanolic acid (OA) and its derivatives in three types of breast cancer cell lines (MDA-MB-231, MCF-7, and MDA-MB-453). A flow cytometry assay was performed to access the mechanisms of apoptosis and cell cycle analysis in SZC010 in MDA-MB-453 cells. Apoptosis- and cyclin-related proteins were evaluated by western blot. The key proteins of the NF-κB and PI3K-Akt-mTOR signaling pathway were also evaluated by western blot. RESULTS: Our results revealed that all OA derivatives were more effective than OA in three types of breast cancer cell lines (MCF-7, MDA-MB-231, and MDA-MB-453). Among these seven OA derivatives, SZC010 exhibited the most potent cytotoxicity in MDA-MB-453 cells. Additionally, we observed that SZC010 treatment induced dose-and time-dependent growth inhibition in MDA-MB-453 cells. Furthermore, we demonstrated that SZC010 induced growth arrest in the G2/M phase and apoptosis by inhibition of NF-κB activation via the PI3K/Akt/mTOR signaling pathway. CONCLUSIONS: Our data indicate that the novel OA derivative, SZC010, has great potential in breast cancer therapy.

Dataset of soil hydraulic parameters in the Yellow River Basin based on in situ deep sampling.

Soil hydraulic parameters are vital for precisely characterizing soil hydrological processes, which are critical indicators for regulating climate change effects on terrestrial ecosystems and governing feedbacks between water, energy, and carbon-nitrogen cycles. Although many studies have integrated comprehensive soil datasets, data quality and cost challenges result in data completeness deficiencies, especially for deep soil information. These gaps not only impede methodological endeavours but also constrain soil parameter-based ecosystem process studies spanning from local profiles to global earth system models. We established a soil dataset across the entire Yellow River Basin (YRB) (795,000 km2) using high-density in situ field sampling. This observation-based dataset contains records of soil texture (2924), bulk density (2798), saturated hydraulic conductivity (2782), and water retention curve parameters (1035) down to a maximum depth of 5 m. This dataset, which extends the recorded data range for deep soil hydraulic parameters, is valuable as a direct data resource for environmental, agronomical and hydrological studies in the YRB and regions with similar pedological and geological backgrounds around the world.

Visualizing and Controlling of Photogenerated Electron-Hole Pair Separation in Monolayer WS2 Nanobubbles under Piezoelectric Field.

The piezoelectric properties of two-dimensional semiconductor nanobubbles present remarkable potential for application in flexible optoelectronic devices, and the piezoelectric field has emerged as an efficacious pathway for both the separation and migration of photogenerated electron-hole pairs, along with inhibition of recombination. However, the comprehension and control of photogenerated carrier dynamics within nanobubbles still remain inadequate. Hence, this study is dedicated to underscore the importance of in situ detection and detailed characterization of photogenerated electron-hole pairs in nanobubbles to enrich understanding and strategic manipulation in two-dimensional semiconductor materials. Utilizing frequency modulation kelvin probe force microscopy (FM-KPFM) and strain gradient distribution techniques, the existence of a piezoelectric field in monolayer WS2 nanobubbles was confirmed. Combining w/o and with illumination FM-KPFM, second-order capacitance gradient technique and in situ nanoscale tip-enhanced photoluminescence characterization techniques, the interrelationships among the piezoelectric effect, interlayer carrier transfer, and the funneling effect for photocarrier dynamics process across various nanobubble sizes were revealed. Notably, for a WS2/graphene bubble height of 15.45 nm, a 0 mV surface potential difference was recorded in the bubble region w/o and with illumination, indicating a mutual offset of piezoelectric effect, interlayer carrier transfer, and the funneling effect. This phenomenon is prevalent in transition metal dichalcogenides materials exhibiting inversion symmetry breaking. The implication of our study is profound for advancing the understanding of the dynamics of photogenerated electron-hole pair in nonuniform strain piezoelectric systems, and offers a reliable framework for the separation and modulation of photogenerated electron-hole pair in flexible optoelectronic devices and photocatalytic applications.

[Intervention mechanism of ginsenoside Rb_1 on liver steatosis in db/db obese mice based on TLR4/MyD88/NF-κB signaling pathway].

Based on the Toll-like receptor 4(TLR4)/myeloid differentiation factor 88(MyD88)/nuclear factor kappaB(NF-κB) signaling pathway, this study observed the regulatory effect of ginsenoside Rb_1(Rb_1) on liver lipid metabolism in db/db obese mice and explored its potential mechanism. Thirty 6-week-old male db/db mice were randomly divided into a model group, a metformin group, and Rb_1 groups with low, medium, and high doses, with six mice in each group. Additionally, six age-matched male db/m mice were assigned to the normal group. The intervention lasted for five weeks. Body weight, fasting blood glucose, and food intake were mea-sured weekly. At the end of the experiment, serum lipid levels and liver function were detected. Hematoxylin-eosin(HE) staining and oil red O staining were performed to observe pathological changes in liver tissue. Real-time quantitative PCR and immunohistochemistry on paraffin sections were used to detect the mRNA and protein expression of TLR4, MyD88, and NF-κB p65. RESULTS:: showed that compared with the normal group, the model group exhibited significant increases in body weight, liver weight, liver index, epididymal fat mass, epididymal fat index, total cholesterol, low-density lipoprotein cholesterol, liver function parameters, and fasting blood glucose levels. Liver lipid accumulation significantly increased, along with elevated mRNA and protein expression of TLR4, MyD88, and NF-κB p65 in the liver. After Rb_1 treatment, the above-mentioned parameters in the intervention groups showed significant reversals. In conclusion, Rb_1 can improve obesity and obesity-related hepatic steatosis in mice while regulating abnormal lipid and glucose meta-bolism. Mechanistically, Rb_1 may improve liver steatosis in db/db obese mice by modulating the TLR4/MyD88/NF-κB signaling pathway.

Targeting thioredoxin reductase by eupalinilide B promotes apoptosis of colorectal cancer cells in vitro and in vivo.

Aberrant activation of thioredoxin reductase (TrxR) is correlated with tumor occurrence and progression, suggesting that TrxR inhibitors can be used as antitumor agents. In this study, we evaluated the anticancer efficacy of eupalinilides B on colorectal cancer cells. Eupalinilides B primarily targeted the conserved selenocysteine 498 residues in TrxR. Besides, it inhibited the enzyme activity in an irreversible manner. After eupalinilides B was used to pharmacologically inhibit TrxR, reactive oxygen species accumulated, and the intracellular redox balance was broken, finally causing oxidative stress-induced tumor cell apoptosis. Significantly, eupalinilides B treatment inhibited in vivo tumor growth. Targeting TrxR by eupalinilides B reveals the new mechanism underlying eupalinilides B and provides insight in developing eupalinilides B as the candidate antitumor chemotherapeutic agent for the treatment of cancer.

Metabolomic changes in Cryptocaryon irritans from Larimichthys crocea after exposure to copper plate.

Cryptocaryon irritans is a highly detrimental parasite in mariculture, causing significant economic losses to the aquaculture industry of Larimichthys crocea. In recent years, copper and copper alloy materials have been used to kill parasites. In this study, the effect of copper plates on the tomont period of C. irritans was explored. The findings indicated that copper plates effectively eradicated tomonts, resulting in a hatching rate of 0. The metabolomic analysis revealed that a total of 2,663 differentially expressed metabolites (1,032 up-regulated and 1,631 down-regulated) were screened in the positive ion mode, and 2,199 differentially expressed metabolites (840 up-regulated and 1,359 down-regulated) were screened in the negative ion mode. L-arginine and L-aspartic acid could be used as potential biomarkers. Copper plate treatment affected 25 metabolic pathways in the tomont, most notably influencing histidine metabolism, retinol metabolism, the biosynthesis of phenylalanine, tyrosine, and tryptophan, as well as arginine and proline metabolism. It was shown that high concentrations of copper ions caused a certain degree of disruption to the metabolome of tomonts in C. irritans, thereby impacting their metabolic processes. Consequently, this disturbance ultimately leads to the rapid demise of tomonts upon exposure to copper plates. The metabolomic changes observed in this study elucidate the lethal impact of copper on C. irritans tomonts, providing valuable reference data for the prevention and control of C. irritans in aquaculture.

Design of Multifunctional Electrocatalysts for ORR/OER/HER/HOR: Janus Makes Difference.

Multifunctional electrocatalysts for hydrogen evolution reaction (HER), hydrogen oxidation reaction (HOR), oxygen evolution reaction (OER), and oxygen reduction reaction (ORR) have broad application prospects; However, realization of such kinds of materials remain difficulties because it requires the materials to have not only unique electronic properties, but multiple active centers to deal with different reactions. Here, employing density functional theory (DFT) computations, it is demonstrated that by decorating the Janus-type 2D transition metal dichalcogenide (TMD) of TaSSe with the single atoms, the materials can achieve multifunctionality to catalyze the ORR/OER/HER/HOR. Out of sixteen catalytic systems, Pt-VS (i.e., Pt atom embedded in the sulfur vacancy), Pd-VSe, and Pt-VSe@TaSSe are promising multifunctional catalysts with superior stability. Among them, the Pt-VS@TaSSe catalyst exhibits the highest activity with theoretical overpotentials ηORR = 0.40 V, ηOER = 0.39 V, and ηHER/HOR = 0.07 V, respectively, better than the traditional Pt (111), IrO2 (110). The interplays between the catalyst and the reaction intermediate over the course of the reaction are then systematically investigated. Generally, this study presents a viable approach for the design and development of advanced multifunctional electrocatalysts. It enriches the application of Janus, a new 2D material, in electrochemical energy storage and conversion technology.

Distribution and typologies of anthropogenic seafloor litter in the Pearl River Estuary and adjacent coastal waters, China.

Marine litter pollution poses a significant threat to offshore ecosystems, eliciting widespread concern. We investigated seafloor litter patterns in the Pearl River Estuary and adjacent coastal waters of China in 2023 via bottom trawl survey. Average number and weight densities were found to be 154.34 ± 30.95 n/km2 and 2384.63 ± 923.98 g/km2, respectively. Plastic was the most abundant material by number density (79.07 %), and rubber the highest by weight density (22.93 %). Overall number density varied from 40.50 ± 22.50 to 221.13 ± 52.44 n/km2, with the highest in Daya Bay and the lowest in Guanghai Bay. Weight density varied from 189.93 ± 71.94 to 5386.70 ± 3050.30 g/km2, with the highest in Qiao Island and the lowest in Honghai Bay. The main source was plastic bags and wrappers. The Pearl River Delta and Daya Bay were identified as seafloor litter distribution hotspots. Controlling plastic waste input is crucial for reducing seafloor litter in the Pearl River Estuary.

Solvent-free synthesis of defective Zr-based metal-organic framework from waste plastic bottles for highly efficient lomefloxacin removal.

Large amount of polyethylene terephthalate (PET) plastics waster and emerging contaminants in water, including fluoroquinolone antibiotics, pose challenges to human survival. In this work, a green synthesis scheme is proposed in which the defective UiO-66 (d-UiO-66) is fabricated via a solvent-free routine by using PET plastics waster as raw materials for lomefloxacin (LOM) removal. In comparison with defect-free UiO-66, the created defect imparts d-UiO-66 with higher porosity and abundant defective Zr sites, which are beneficial to boost LOM adsorption. As expected, d-UiO-66 exhibited excellent LOM adsorption performances, showcasing a saturation adsorption capacity of 588 mg g-1 and a kinetic rate constant of 0.204 g mg-1 h-1, which are 3.5 and 2.0 times higher than those of the pristine UiO-66, respectively. Remarkably, the LOM saturation adsorption capacity of d-UiO-66 surpasses that of all reported adsorbents. Mechanism study reveals that this outstanding adsorption performance of d-UiO-66 is mainly ascribed to the abundant defective sites, high porosity, together with the strong hydrogen bonding interaction and π-π stacking interaction between d-UiO-66 and LOM. Therefore, the d-UiO-66 obtained by the solvent-free method can not only effectively upcycle PET plastic waster, but also efficiently remove LOM, demonstrating a potential routine to simultaneous address the solid PET waster and wastewater.

CMYC-initiated HNF1A-AS1 overexpression maintains the stemness of gastric cancer cells.

Cancer stem cells (CSCs) are believed to be responsible for cancer metastasis and recurrence due to their self-renewal ability and resistance to treatment. However, the mechanisms that regulate the stemness of CSCs remain poorly understood. Recently, evidence has emerged suggesting that long non-coding RNAs (lncRNAs) play a crucial role in regulating cancer cell function in different types of malignancies, including gastric cancer (GC). However, the specific means by which lncRNAs regulate the function of gastric cancer stem cells (GCSCs) are yet to be fully understood. In this study, we investigated a lncRNA known as HNF1A-AS1, which is highly expressed in GCSC s and serves as a critical regulator of GCSC stemness and tumorigenesis. Our experiments, both in vitro and in vivo, demonstrated that HNF1A-AS1 maintained the stemness of GC cells. Further analysis revealed that HNF1A-AS1, transcriptionally activated by CMYC, functioned as a competing endogenous RNA by binding to miR-150-5p to upregulate ß-catenin expression. This in turn facilitated the entry of ß-catenin into the nucleus to activate the Wnt/ß-catenin pathway and promote CMYC expression, thereby forming a positive feedback loop that sustained the stemness of GCSCs. We also found that blocking the Wnt/ß-catenin pathway effectively inhibited the function of HNF1A-AS1, ultimately resulting in the inhibition of GCSC stemness. Taken together, our results demonstrated that HNF1A-AS1 is a regulator of the stemness of GCSCs and could serve as a potential marker for targeted GC therapy.

Development and Validation of a Deep Learning Model to Reduce the Interference of Rectal Artifacts in MRI-based Prostate Cancer Diagnosis.

Purpose To develop an MRI-based model for clinically significant prostate cancer (csPCa) diagnosis that can resist rectal artifact interference. Materials and Methods This retrospective study included 2203 male patients with prostate lesions who underwent biparametric MRI and biopsy between January 2019 and June 2023. Targeted adversarial training with proprietary adversarial samples (TPAS) strategy was proposed to enhance model resistance against rectal artifacts. The automated csPCa diagnostic models trained with and without TPAS were compared using multicenter validation datasets. The impact of rectal artifacts on the diagnostic performance of each model at the patient and lesion levels was compared using the area under the receiver operating characteristic curve (AUC) and the area under the precision-recall curve (AUPRC). The AUC between models was compared using the DeLong test, and the AUPRC was compared using the bootstrap method. Results The TPAS model exhibited diagnostic performance improvements of 6% at the patient level (AUC: 0.87 vs 0.81, P < .001) and 7% at the lesion level (AUPRC: 0.84 vs 0.77, P = .007) compared with the control model. The TPAS model demonstrated less performance decline in the presence of rectal artifact-pattern adversarial noise than the control model (ΔAUC: -17% vs -19%, ΔAUPRC: -18% vs -21%). The TPAS model performed better than the control model in patients with moderate (AUC: 0.79 vs 0.73, AUPRC: 0.68 vs 0.61) and severe (AUC: 0.75 vs 0.57, AUPRC: 0.69 vs 0.59) artifacts. Conclusion This study demonstrates that the TPAS model can reduce rectal artifact interference in MRI-based csPCa diagnosis, thereby improving its performance in clinical applications. Keywords: MR-Diffusion-weighted Imaging, Urinary, Prostate, Comparative Studies, Diagnosis, Transfer Learning Clinical trial registration no. ChiCTR23000069832 Supplemental material is available for this article. Published under a CC BY 4.0 license.

Case Report: A rare case of intramedullary spinal cord abscess with brain abscess caused by Klebsiella pneumoniae underwent surgical intervention.

Background: Intramedullary Spinal Cord Abscess (ISCA) is an uncommon infectious disease of the central nervous system. Since its first report in 1830, there have been very few documented cases associated with it. Here, we present a case of ISCA with cerebral abscess caused by Klebsiella pneumoniae. Case presentation: A 55-year-old male patient presented with head and neck pain, fever, and left limb weakness for 5 days. The diagnosis of ISCA with brain abscess caused by Klebsiella pneumoniae was confirmed through sputum culture, cerebrospinal fluid gene test, pus culture, and magnetic resonance imaging (MRI) as well as computerized tomography (CT) scan. The patient had a history of pulmonary tuberculosis and old tuberculous foci were observed in the lung. Initially considering tuberculosis as the cause due to unclear etiology at that time, anti-tuberculosis treatment was administered. However, due to rapid deterioration in the patient's condition and severe neurological dysfunction within a short period of time after admission, surgical intervention including incision and drainage for intramedullary abscess along with removal of brain abscess was performed. Subsequent postoperative follow-up showed improvement in both symptoms and imaging findings. Conclusion: Early diagnosis of central nervous system (CNS) abscess coupled with prompt surgical intervention and administration of appropriate antibiotics are crucial factors in preventing disease progression and reducing mortality rates.

Corrigendum to: Investigation of the Apoptosis Inducing and ß-catenin Silencing by Tetradentate Schiff Base Zinc(II) Complex on the T-47D Breast Cancer Cells.

A typographical error appeared in the author affiliation titled "Investigation of the Apoptosis Inducing and ß-catenin Silencing by Tetradentate Schiff Base Zinc(II) Complex on the T-47D Breast Cancer Cells", published in Anti-Cancer Agents in Medicinal Chemistry, 2023, 23(15) [1]. Details of the error and a correction are provided here. Original: Author Affiliation: 2Department of Breast Medicine, Cancer Hospital Chinese Academy of Medical Science, Liaoning Provincial Cancer Hospital, Shenyang, Liaoning, 110042, China Corrected: Author Affiliation: 2Department of Breast Medicine, Cancer Hospital of China Medical University, Liaoning Cancer Hospital, Shenyang, China We regret the error and apologize to readers. The original article can be found online at https://www.eurekaselect.com/article/131718.

STGIC: A graph and image convolution-based method for spatial transcriptomic clustering.

Spatial transcriptomic (ST) clustering employs spatial and transcription information to group spots spatially coherent and transcriptionally similar together into the same spatial domain. Graph convolution network (GCN) and graph attention network (GAT), fed with spatial coordinates derived adjacency and transcription profile derived feature matrix are often used to solve the problem. Our proposed method STGIC (spatial transcriptomic clustering with graph and image convolution) is designed for techniques with regular lattices on chips. It utilizes an adaptive graph convolution (AGC) to get high quality pseudo-labels and then resorts to dilated convolution framework (DCF) for virtual image converted from gene expression information and spatial coordinates of spots. The dilation rates and kernel sizes are set appropriately and updating of weight values in the kernels is made to be subject to the spatial distance from the position of corresponding elements to kernel centers so that feature extraction of each spot is better guided by spatial distance to neighbor spots. Self-supervision realized by Kullback-Leibler (KL) divergence, spatial continuity loss and cross entropy calculated among spots with high confidence pseudo-labels make up the training objective of DCF. STGIC attains state-of-the-art (SOTA) clustering performance on the benchmark dataset of 10x Visium human dorsolateral prefrontal cortex (DLPFC). Besides, it's capable of depicting fine structures of other tissues from other species as well as guiding the identification of marker genes. Also, STGIC is expandable to Stereo-seq data with high spatial resolution.