Copper-Catalyzed [3 + 2] Annulation of O-Acyl Oximes with 4-Sulfonamidophenols for the Synthesis of 5-Sulfonamidoindoles and 2-Amido-5-sulfonamidobenzofuran-3(2H)-ones.

A copper-catalyzed [3 + 2] annulation of O-acyl oximes with 4-sulfonamidophenols is developed. The advantage of this method lies in the concurrent double activation of two substrates to form nucleophilic enamines and electrophilic quinone monoimines. The substituent on the α-carbon of O-acyl oxime determines two different reaction pathways, thereby leading to the selective generation of 5-sulfonamidoindoles and 2-amido-5-sulfonamidobenzofuran-3(2H)-ones.

Retrofit and application of pulverized coal burners with LNG and oxygen ignition in utility boiler under ultra-low load operation.

An oxygen-rich and low NOx burner integrated with liquefied natural gas (LNG) was proposed to address unstable combustion and high NOx emissions from a 330 MW subcritical boiler under ultra-low load operation in China. To assess the effectiveness of the retrofit, Chemkin and Fluent softwares were utilized to construct a new NOx model and calculate NOx generation, based on the combustion of pulverized coal gas and LNG. Further, an eddy dissipation concept (EDC) model, which can reflect detailed chemical reactions, was applied to calculate gas-phase reactions in the furnace. The results showed that when performing the deep peak shaving after the retrofit, the combustion in the furnace was stable under 50% or more load, and NOx emission level at the furnace outlet was lower than 350 mg/m3 (6% O2 content, dry basis). Under 25% load, the oxygen-rich burner integrated with LNG was applied, and the pulverized coal flow entered the furnace in a state of high-intensity combustion, which effectively promoted the stability of combustion in the furnace. The reductive combustion state with reductive free radicals generated by LNG decomposition inhibited NOx formation. Consequently, NOx emissions from the furnace outlet decreased from 380 mg/m3 to 316 mg/m3.

Parecoxib sodium attenuates acute lung injury following burns by regulating M1/M2 macrophage polarization through the TLR4/NF-κB pathway.

High temperature-induced burn injury often leads to an excessive inflammatory cascade resulting in multiple organ dysfunction syndrome, such as acute lung injury (ALI), in addition to skin tissue damage. As a specific COX2 inhibitor, parecoxib sodium suppresses the inflammatory response during burn injury. The effect of parecoxib sodium on ALI induced by burn injury and the associated molecular mechanism still need to be investigated. The role of parecoxib sodium in burn injury-induced ALI through the TLR4/NF-κB pathway was explored in the present study. A burn-induced ALI mouse model was constructed, and M1/M2 macrophages in lung tissue and markers involved in the TLR4/NF-κB signalling pathway were evaluated in bronchoalveolar lavage fluid (BALF) and MH-S mouse alveolar macrophages in vitro. The results indicated that parecoxib sodium attenuated lung injury after burn injury, decreased iNOS and TNF-α expression, increased IL-10 expression in BALF, and regulated the CD86-and CD206-mediated polarization of M1/M2 macrophages in lung tissue along with MH-S mouse alveolar macrophages. The effect of parecoxib sodium might be reversed by a TLR4 agonist. Overall, the results suggested that parecoxib sodium can regulate the polarization of M1/M2 macrophages through the TLR4/NF-κB pathway to attenuate ALI induced by skin burns.

Microbiota Alterations in Lung, Ileum, and Colon of Guinea Pigs with Cough Variant Asthma.

Alterations in the microbiota composition, or ecological dysbiosis, have been implicated in the development of various diseases, including allergic diseases and asthma. Examining the relationship between microbiota alterations in the host and cough variant asthma (CVA) may facilitate the discovery of novel therapeutic strategies. To elucidate the diversity and difference of microbiota across three ecological niches, we performed 16S rDNA amplicon sequencing on lung, ileum, and colon samples. We assessed the levels of interleukin-12 (IL-12) and interleukin-13 (IL-13) in guinea pig bronchoalveolar lavage fluid using the enzyme-linked immunosorbent assay (ELISA). We applied Spearman's analytical method to evaluate the correlation between microbiota and cytokines. The results demonstrated that the relative abundance, α-diversity, and ß-diversity of the microbial composition of the lung, ileum, and colon varied considerably. The ELISA results indicated a substantial increase in the level of IL-13 and a decreasing trend in the level of IL-12 in the CVA guinea pigs. The Spearman analysis identified a correlation between Mycoplasma, Faecalibaculum, and Ruminococcus and the inflammatory factors in the CVA guinea pigs. Our guinea pig model showed that core microorganisms, such as Mycoplasma in the lung, Faecalibaculum in the ileum, and Ruminococcus in the colon, may play a crucial role in the pathogenesis of CVA. The most conspicuous changes in the ecological niche were observed in the guinea pig ileum, followed by the lung, while relatively minor changes were observed in the colon. Notably, the microbial structure of the ileum niche approximated that of the colon niche. Therefore, the results of this study suggest that CVA development is closely related to the dysregulation of ileal, lung, and colon microbiota and the ensuing inflammatory changes in the lung.

Analysis of Immune and Prognostic-Related lncRNA PRKCQ-AS1 for Predicting Prognosis and Regulating Effect in Sepsis.

Background: Sepsis was a high mortality and great harm systemic inflammatory response syndrome caused by infection. lncRNAs were potential prognostic marker and therapeutic target. Therefore, we expect to screen and analyze lncRNAs with potential prognostic markers in sepsis. Methods: Transcriptome sequencing and limma was used to screen dysregulated RNAs. Key RNAs were screened by correlation analysis, lncRNA-mRNA co-expression and weighted gene co-expression network analysis. Immune infiltration, gene set enrichment analysis and gene set variation analysis were used to analyze the immune correlation. Kaplan-Meier curve, receiver operator characteristic curve, Cox regression analysis and nomogram were used to analyze the correlation between key RNAs and prognosis. Sepsis model was established by lipopolysaccharide-induced HUVECs injury, and then cell viability and migration ability were detected by cell counting kit-8 and wound healing assay. The levels of apoptosis-related proteins and inflammatory cytokines were detected by RT-qPCR and Western blot. Reactive Oxygen Species and superoxide dismutase were detected by commercial kit. Results: Fourteen key differentially expressed lncRNAs and 663 key differentially expressed genes were obtained. And these lncRNAs were closely related to immune cells, especially T cell activation, immune response and inflammation. Subsequently, Subsequently, lncRNA PRKCQ-AS1 was identified as the regulator for further investigation in sepsis. RT-qPCR results showed that PRKCQ-AS1 expression was up-regulated in clinical samples and sepsis model cells, which was an independent prognostic factor in sepsis patients. Immune correlation analysis showed that PRKCQ-AS1 was involved in the immune response and inflammatory process of sepsis. Cell function tests confirmed that PRKCQ-AS1 could inhibit sepsis model cells viability and promote cell apoptosis, inflammatory damage and oxidative stress. Conclusion: We constructed immune-related lncRNA-mRNA regulatory networks in the progression of sepsis and confirmed that PRKCQ-AS1 is an important prognostic factor affecting the progression of sepsis and is involved in immune response.

GENIPOSIDE IMPROVES CLP-INDUCED SEPSIS MODEL PROGNOSIS BY UPREGULATING PPARγ TO MODULATE MONOCYTE PHENOTYPE AND CYTOKINE NETWORK.

ABSTRACT: Background : We explored the efficacy and main biological mechanism of geniposide intervention in sepsis. Methods : A sepsis model was established in male BALB/c mice through cecal ligation and puncture (CLP). Different doses of geniposide (20 or 40 mg/kg) were administered intravenously at 0 and/or 24 h after CLP surgery. The survival rate of different groups was observed. In addition, the expression levels of CD16 and major histocompatibility complex class II in monocytes were assessed using flow cytometry. The concentrations of TNF-α, IL-1ß, IL-6, and IL-10 in the serum were measured by ELISA. We also observed the biological effects of geniposide on CD16 and MHC-II expression levels in RAW264.7 cells, as well as the secretion of TNF-α, IL-1ß, IL-6, and IL-10 in the LPS-induced RAW264.7 cell model. The PPARγ levels were determined using western blot analysis. Results : Intravenous administration of 40 mg/kg of geniposide at 0 h after CLP significantly improved the survival outcomes in the septic mouse model, with no significant benefits from low dosing (20 mg/kg) or delayed administration (24 h). The effective dose of geniposide significantly decreased the serum cytokine TNF-α, IL-1ß, IL-6, and IL-10 concentrations in septic mice ( P < 0.05). Notably, in vitro assays showed that geniposide specifically increased the IL-10 level. Geniposide significantly reduced the CD16 expression ( P < 0.05) and increased MHC-II expression in monocytes ( P < 0.05). In addition, geniposide elevated the PPARγ level in monocytes ( P < 0.05). Conclusions : High-dose early-stage geniposide administration significantly improved the survival rate in a CLP mouse sepsis model by modulating the monocyte phenotype and regulating the cytokine network (IL-6/IL-10 levels). The pharmacological mechanism of geniposide action might be exerted primarily through PPARγ upregulation.

Deciphering the Molecular Mechanism of Escin against Neuropathic Pain: A Network Pharmacology Study.

Background: Escin is the main active component in Aesculus hippocastanum. It has been demonstrated that escin has anti-inflammatory properties. This study combined the methods of network pharmacology, molecular docking, and molecular dynamics to explore the molecular mechanism of escin against neuropathic pain (NP). Methods: The Swiss Target Prediction and the Pharm Mapper database were employed for predicting the targets of escin. Also, the candidate targets of NP were gathered via the databases including Therapeutic Targets, DisGeNet, GeneCards, DrugBank, and OMIM. Subsequently, the network of protein-protein interaction was screened for the key targets by the software Cytoscape 3.8.0. Then, the intersection of these targets was analysed by Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment. Additionally, we further investigated the ligand-target interactions by molecular docking and molecular dynamics simulations. Results: In total, 94 escin targets were predicted by network pharmacology. Among them, SRC, MMP9, PTGS2, and MAPK1 were the core candidate targets. Subsequently, the analysis of GO and KEGG enrichment revealed that escin affected NP by regulating protein kinase C, MAP kinase, TRP channels, the T-cell receptors signaling pathway, and the TNF signaling pathway. The results of molecular docking and molecular dynamics simulation confirmed that escin not only had a strong binding activity with the four core target proteins but also stably combined in 50 ns. Conclusions: Our study revealed that escin acts on the core targets SRC, MMP9, PTGS2, MAPK1, and associated enrichment pathways to alleviate neuronal inflammation and regulate the immune response, thus exerting anti-NP efficacy. This study provided innovative ideas and methods for the promising treatment of escin in relieving NP.

Using planned behavior theory to understand cervical cancer screening intentions in Chinese women.

Introduction: Cervical cancer is still one of the cancers threatening the health of Chinese women with high morbidity and mortality. However, the participation rate of cervical cancer screening (CCS) among women is low due to various reasons, so it is crucial to understand the factors that influence women's willingness to be screened for cervical cancer. This study's goal was to understand the intention of cervical cancer screening in Chinese women using the theory of planned behavior (TPB). Methods: An online questionnaire was administered to 286 women using a cross-sectional design. The questionnaire was created using the theory of planned behavior and included demographic characteristics as well as the basic structure of TPB. Results: Descriptive, correlation, and multiple linear regression models were performed to identify factors associated with cervical cancer screening behavior. 286 respondents completed the survey (95.3%). The mean scores for behavioral attitude, subjective norm and perceived behavioral control (PBC) were 32.50 (SD = 3.30), 22.59 (SD = 2.80) and 29.57 (SD = 3.37). From the regression analysis, behavioral attitude (B = 0.110, p = 0.001), subjective norm (B = 0.234, p = 0.000) and perceived behavioral control (B = 0.171, p = 0.000) were statistically significant in terms of intention. Discussion: This study provided a reference for improving the intention of cervical cancer screening in women.

Size-Controllable Nanosystem with Double Responsive for Deep Photodynamic Therapy.

Photodynamic therapy (PDT) is a promising strategy for cancer treatment. However, a poor tissue penetration of activation light and low target specificity seriously hindered the clinical application of PDT. Here, we designed and constructed a size-controllable nanosystem (UPH) with inside-out responsive for deep PDT with enhanced biosafety. To obtain nanoparticles with the best quantum yield, a series of core-shell nanoparticles (UCNP@nPCN) with different thicknesses were synthesized by a layer-by-layer self-assembly method to incorporate a porphyritic porous coordination network (PCN) onto the surface of upconverting nanoparticles (UCNPs), followed by coating with hyaluronic acid (HA) on the surface of nanoparticles with optimized thickness to form the UPH nanoparticles. With the aid of HA, the UPH nanoparticles were capable of preferentially enriching in tumor sites and specific endocytosis by CD44 receptors as well as responsive degradation by hyaluronidase in cancer cells after intravenous administration. Subsequently, after being activated by strong penetrating 980 nm near-infrared light (NIR), the UPH nanoparticles efficiently converted oxygen into strongly oxidizing reactive oxygen species based on the fluorescence resonance energy transfer (FRET) effect, thereby significantly inhibiting tumor growth. Experimental results in vitro and in vivo indicated that such dual-responsive nanoparticles successfully realize the photodynamic therapy of deep-seated cancer with negligible side effects, which showed great potential for potential clinical translational research.

Modified Dingchuan Decoction treats cough-variant asthma by suppressing lung inflammation and regulating the lung microbiota.

ETHNOPHARMACOLOGICAL RELEVANCE: Modified Dingchuan Decoction (MDD) is a Chinese medicine formula containing 11 materials with cough suppression, asthma relief, and anti-inflammatory effects. AIM OF THE STUDY: This study aimed to evaluate the therapeutic effect of MDD on cough-variant asthma (CVA) and to investigate its mechanism of action. MATERIALS AND METHODS: The chemical constituents of MDD were analyzed by ultra-performance liquid chromatography-quadrupole/electrostatic field orbitrap high-resolution mass spectrometry (UPLC-Q-Orbitrap HRMS). A guinea pig CVA model was established using an intramuscular injection of ovalbumin (OVA), combined with an intraperitoneal injection of aluminum hydroxide [Al(OH)3] and nebulized OVA. At the beginning of day 18, the low, medium, and high MDD groups were gavaged with 7.23 g/kg, 14.46 g/kg, and 28.92 g/kg of MDD, respectively, and the positive group was gavaged with 5 mg/kg of prednisone acetate combined with 1 mg/kg of montelukast sodium; the normal and model groups were given an equal volume of distilled water, once a day for 21 days. The cough was induced by 10-3 mol/L capsaicin solution 1 h after the last administration, and the number of coughs and the latency of coughs were evaluated. Hematoxylin and eosin staining (H&E) was used to observe pathological changes in the lungs and airways. The concentration of inflammatory factors in bronchoalveolar lavage fluid (BALF) was measured by enzyme-linked immunosorbent assay (ELISA). We analyzed the lung microbiota using 16 S ribosomal DNA (16 S rDNA) high-throughput sequencing. RESULTS: The 38 chemical components were found in MDD, and MDD reduced the number of coughs in guinea pigs with CVA, prolonged cough latency, improved pathological damage to the lungs and airways, regulated inflammatory factor levels in BALF, and modulated the lung microbiota. CONCLUSIONS: This study demonstrated that treating CVA with MDD may be related to inhibiting lung inflammation and regulating lung microbiota.

A Pilot Study on Human Circulating System Indicated That Regenerating Islet-Derived Protein 3 Gamma (REG3A) is a Potential Prognostic Biomarker for Sepsis.

It is critical to find fast and robust biomarkers for sepsis to reduce the patient's risk for morbidity and mortality. In this work, we compared serum protein expression levels of regenerating islet-derived protein 3 gamma (REG3A) between patients with sepsis and healthy controls and found that serum REG3A protein was significantly elevated in patients with sepsis. In addition, expression level of serum REG3A protein was markedly correlated with the Sequential Organ Failure Assessment score, Acute Physiology and Chronic Health Evaluation II score, and C-reactive protein levels of patients with sepsis. Serum REG3A protein expression level was also confirmed to have good diagnostic value to differentiate patients with sepsis from healthy controls. Finally, serum REG3A protein expression level was found to have good prognostic value to predict the 28-day survival rate of patients with sepsis. In conclusion, our work indicated that serum REG3A may be a novel biomarker for sepsis.

Using Delphi method to develop Chinese women's cervical cancer screening intention scale based on planned behavior theory.

BACKGROUND: Cervical cancer is the most common malignant tumor in women with a high mortality rate. However, the awareness and participation of women in cervical cancer screening were not high, and rare attention was paid to cervical cancer screening. The extensive promotion and execution of cervical cancer screening in China are still facing difficulties. In order to fully comprehend and evaluate the barriers and promote factors of cervical cancer screening in women, the objective of this study was to develop a scientifically sound and clinically useful Chinese cervical cancer screening intention scale. This study would allow for the development of targeted interventions which may contribute to the increase of individual participation in cervical cancer screening going forward. METHODS: This study used the Delphi method to construct a Chinese cervical cancer screening intention scale based on the theory of planned behavior (TPB) and evaluate its validity. The study was based on the overview of the TPB questionnaire proposed by Ajzen, and was conducted through the literature search and two rounds of the Delphi expert consultation. According to the literature search published from 2012 to 2022, the scale item pool was established and a questionnaire was designed. A survey of 16 experts from 6 different provinces, cities and regions in China was conducted, and the Delphi technique was used to collect and analyze expert opinions data. RESULTS: The final scale consisted of 4 dimensions and 23 items. The response rates in two rounds of expert consultation were 80% and 93.75%, respectively, with authority coefficients of 0.928 and 0.930. Variation coefficients varied from 0.07 to 0.21. Dimensions included "attitude towards behavior", "subjective norm", "perceived behavioral control" and "behavioral intention". CONCLUSIONS: Women's cervical cancer screening intentions could be assessed with the scale, since it had high validity and reliability, as well as high authority and coordination, meanwhile affording explanations and improving the efficiency of interventions.

Ship Trajectory Generator under the Interference of Wind, Current and Waves.

In view of the low accuracy of the motion parameters generated by the typical ship trajectory generator, and the fact that the problem of wind, current and wave interference is not considered, this paper establishes a new ship trajectory generator by analyzing the changes in the ship's attitude and speed under different motion states. Through simulation, the accuracy of the main motion parameters is significantly improved compared with the typical trajectory generator; the time-varying non-uniform wind, current and wave fields are constructed, and the interference effect of wind, current and waves on ship motion is analyzed by combining the empirical formulas of force and moment; an adaptive neuro fuzzy inference system (ANFIS) based on wind, current and wave interference is designed, and the fuzzy rules of the fuzzy system are determined by training and testing the measured data; the motion parameters of superimposed wind, current and wave interference are compared with the measured data, and the accuracy is further improved after superimposing wind, current and wave interference.

Correlations between serum hepatitis B core-related antigen and hepatitis B surface antigen in patients with hepatitis B cirrhosis and a hepatitis B virus-DNA-negative status: a retrospective study.

OBJECTIVE: This study aimed to examine the correlations between serum hepatitis B core-related antigen (HBcrAg) and hepatitis B surface antigen (HBsAg) titers in patients with hepatitis B cirrhosis and a hepatitis B virus (HBV)-DNA-negative status. METHODS: We retrospectively analyzed the data and blood samples of patients who were diagnosed with HBV liver cirrhosis and an HBV-DNA negative status. These patients were hospitalized between October 2018 and October 2019 at one hospital. RESULTS: A total of 180 patients were included. The median (interquartile range) HBsAg and HBcrAg concentrations were 2.77 log10 IU/mL (1.60-3.15) and 3.96 log10 U/mL (2.70-4.97), respectively. A non-linear significant relationship was found between HBsAg and HBcrAg concentrations. The inflection point was 0.58. The effect size and confidence interval on the left and right sides of the inflection point were 0.10 (-0.23-0.42) and 0.62 (0.46-0.78), respectively. When HBsAg concentrations were ≥0.58 log10 IU/mL, HBsAg concentrations were positively correlated with HBcrAg concentrations. When HBsAg concentrations increased by 1 log10 IU/mL, HBcrAg concentrations increased by 0.62 log10 U/mL (95% confidence interval: 0.46, 0.78). CONCLUSIONS: There might be a non-linear relationship between HBcrAg and HBsAg concentrations in patients with hepatitis B cirrhosis and an HBV-DNA-negative status.

Transvaginal natural orifice transluminal endoscopic surgery in gynecological procedure: Experience of a Women's and Children's Medical Center from China.

OBJECTIVE: To review of our hospital's experiences in transvaginal natural orifice transluminal endoscopic surgery (vNOTES) and challenges we encountered in performance of the procedure, so as to provide help to medical institutions who are preparing to carry out vNOTES. METHODS: We retrospectively analyzed the data of all patients receiving vNOTES in our hospital from April 2018 to May 2021. Data we collected cover the general characteristics, perioperative outcomes, and complications of the patients. RESULTS: A total of 1147 patients underwent vNOTES in the past 3 years at our hospital. The total numbers of adnexal surgery, myomectomy, hysterectomy, pelvic floor reconstruction surgery, and malignant tumor surgery performed via vNOTES were 902, 98, 82, 51, and 14, respectively. Eighteen patients were converted to transabdominal laparoscopic surgery. A total of 38 patients had complications according to Clavien-Dindo classification, and the total complication rate was 3.31%. Among these cases of complications, 27 were Grade I, 4 were Grade II, and 7 were Grade III. No complications of Grade IV or V were reported. CONCLUSION: The application of vNOTES is safe and feasible for most gynecological surgeries. Moreover, hospitals with traditional laparoscopic equipment are advised to try this technique as there is no need to purchase additional expensive equipment. However, since vNOTES represents a novel approach, the long-term complications and efficacy associated with this technique are pending to be verified through large-scale prospective multicenter randomized controlled studies.

Long Non-coding RNA UCA1 Regulates SRPK1 Expression Through miR- 99b-3p in Ovarian Cancer.

BACKGROUND: Ovarian carcinoma (OC) is one of the most common malignancies of the female reproductive organs, with a low survival rate primarily due to the lack of effective methods for early diagnosis and prognosis. OBJECTIVE: In this article, our motivation is to explore the lncRNA-related network mechanisms involved in the pathogenesis of OC. METHODS: Public lncRNAs and mRNA expression datasets for OC were collected from the Gene Expression Omnibus (GEO) database. By integrated bioinformatics analysis, we constructed a UCA1-miRNA-mRNA network. We studied lncRNA-related molecular modulation mechanism in ovarian cancer cells based on MTT assay, dual luciferase reporter gene assays, quantitative realtime PCR, and western blotting. RESULTS: UCA1 was higher in ovarian tumor tissues and cells than normal tissues and cells. It was demonstrated in this study that knockdown of UCA1 inhibited ovarian cancer cell viability, which a miR-99b-3p inhibitor could reverse in vitro. Further, UCA1 was shown to regulate the expression of SRPK1 by directly binding to miR-99b-3p. CONCLUSION: These results suggest that UCA1 functions as an oncogene in ovarian cancer. Inhibition of UCA1/miR-99b-3p/SRPK1 axis may become a novel target for treating ovarian cancer.

Computational approach to decode the mechanism of curcuminoids against neuropathic pain.

BACKGROUND: Curcumin (CUR), demethoxycurcumin (DMC) and bisdemethoxycurcumin (BDMC) are the main components of turmeric that commonly used to treat neuropathic pain (NP). However, the mechanism of the therapy is not sufficiently clarified. Herein, network pharmacology, molecular docking and molecular dynamics (MD) approaches were used to investigate the mechanism of curcuminoids for NP treatment. METHODS: Active targets of curcuminoids were obtained from the Swiss Target database, and NP-related targets were retrieved from GeneCards, OMIM, Drugbank and TTD databases. A protein-protein interaction (PPI) network was built to screen the core targets. Furthermore, DAVID was used for GO and KEGG pathway enrichment analyses. Interactions between potential targets and curcuminoids were assessed by molecular docking and the MD simulations were run for 100ns to validate the docking results on the top six complexes. RESULTS: CUR, DMC, and BDMC had 100, 99 and 100 targets respectively. After overlapping with NP there were 33, 33 and 31 targets respectively. PPI network analysis of TOP 10 core targets, TNF, GSK3ß were common targets of curcuminoids. Molecular docking and MD results indicated that curcuminoids bind strongly with the core targets. The GO and KEGG showed that curcuminoids regulated nitrogen metabolism, the serotonergic synapse and ErbB signaling pathway to alleviate NP. Furthermore, specific targets in these three compounds were also analysed at the same time. CONCLUSIONS: This study systematically explored and compared the anti-NP mechanism of curcuminoids, providing a novel perspective for their utilization.

Bovine Lactoferrin Alleviates Pulmonary Lipid Peroxidation and Inflammatory Damage in Heat Stroke Rats.

Lung injury occurring in the early stage of heat stroke (HS) leads to hypoxia and further aggravation of other organic damage. Lactoferrin (LF) is an iron binding protein with anti-inflammatory and antioxidant effects. This study focuses on the protection of preadministration of bovine lactoferrin (BLF) against lung injury in rats with HS. Sixty-four Sprague-Dawley male rats were divided into four groups randomly: control (CON)+phosphate-buffered saline (PBS) (n = 16), HS+PBS (n = 16), HS+low-dose BLF (LBLF) (n = 16), and HS+high-dose BLF (HBLF) (n = 16). CON+PBS and HS+PBS were preadministered 10 mL/kg PBS for 1 week. HS+LBLF and HS+HBLF were preadministered 100 and 200 mg/kg BLF for 1 week, respectively. The HS onset time and the survival rate were recorded, and bronchoalveolar lavage fluid was obtained to measure protein concentration. Lung was obtained for pathological analysis and wet/dry weight ratio measurement; later, the content of malondialdehyde (MDA), activity of myeloperoxidase (MPO), and superoxide dismutase (SOD) were measured in lung tissue homogenate. The results indicated that BLF preadministration could delay the HS onset time, enhance the survival rate, the levels of serum inflammatory cytokine and MDA content in HS+LBLF and HS+HBLF showed significant reduction compared with HS+PBS, while a significant elevation of SOD activity and reduction of MPO activity in HS+HBLF. Our results demonstrate that BLF preadministration could relieve lung injury in HS rats by enhancing thermal endurance, and alleviating serum inflammatory response and pulmonary oxidative stress damage.

Norm ISWSVR: A Data Integration and Normalization Approach for Large-Scale Metabolomics.

Large-scale and long-period metabolomics study is more susceptible to various sources of systematic errors, resulting in nonreproducibility and poor data quality. A reliable and robust batch correction method removes unwanted systematic variations and improves the statistical power of metabolomics data, which undeniably becomes an important issue for the quality control of metabolomics. This study proposed a novel data normalization and integration method, Norm ISWSVR. It is a two-step approach via combining the best-performance internal standard correction with support vector regression normalization, comprehensively removing the systematic and random errors and matrix effects. This method was investigated in three untargeted lipidomics or metabolomics datasets, and the performance was further evaluated systematically in comparison with that of 11 other normalization methods. As a result, Norm ISWSVR decreased the data's median cross-validated relative standard deviation (cvRSD), increased the correlation between QCs, improved the classification accuracy of biomarkers, and was well-compatible with quantitative data. More importantly, Norm ISWSVR also allows a low frequency of QCs, which could significantly decrease the burden of a large-scale experiment. Correspondingly, Norm ISWSVR favorably improves the data quality of large-scale metabolomics data.