Novel ratio-expressions of genes enables estimation of wound age in contused skeletal muscle.

Given that combination with multiple biomarkers may well raise the predictive value of wound age, it appears critically essential to identify new features under the limited cost. For this purpose, the present study explored whether the gene expression ratios provide unique time information as an additional indicator for wound age estimation not requiring the detection of new biomarkers and allowing full use of the available data. The expression levels of four wound-healing genes (Arid5a, Ier3, Stom, and Lcp1) were detected by real-time polymerase chain reaction, and a total of six expression ratios were calculated among these four genes. The results showed that the expression levels of four genes and six ratios of expression changed time-dependent during wound repair. The six expression ratios provided additional temporal information, distinct from the four genes analyzed separately by principal component analysis. The overall performance metrics for cross-validation and external validation of four typical prediction models were improved when six ratios of expression were added as additional input variables. Overall, expression ratios among genes provide temporal information and have excellent potential as predictive markers for wound age estimation. Combining the expression levels of genes with ratio-expression of genes may allow for more accurate estimates of the time of injury.

Environmental levels of azoxystrobin disturb male zebrafish behavior: Possible roles of oxidative stress, cholinergic system, and dopaminergic system.

A widely applied pesticide of azoxystrobin, is increasingly detected in the water environment. Concern has been raised against its potential detriment to aquatic ecosystems. It has been shown that exposure to azoxystrobin interfere with the locomotor behavior of zebrafish larvae. This study aims to investigate whether exposure to environmental levels of azoxystrobin (2 µg/L, 20 µg/L, and 200 µg/L) changes the behavior of male adult zebrafish. Herein, we evaluated behavioral response (locomotor, anxiety-like, and exploratory behaviors), histopathology, biochemical indicators, and gene expression in male adult zebrafish upon azoxystrobin exposure. The study showed that exposure to azoxystrobin for 42 days remarkably increased the locomotor ability of male zebrafish, resulted in anxiety-like behavior, and inhibited exploratory behavior. After treatment with 200 µg/L azoxystrobin, vasodilatation, and congestion were observed in male zebrafish brains. Exposure to 200 µg/L azoxystrobin notably elevated ROS level, MDA concentration, CAT activity, and AChE activity, while inhibiting SOD activity, GPx activity, ACh concentration, and DA concentration in male zebrafish brains. Moreover, the expression levels of genes related to the antioxidant, cholinergic, and dopaminergic systems were significantly changed. This suggests that azoxystrobin may interfere with the homeostasis of neurotransmitters by causing oxidative stress in male zebrafish brains, thus affecting the behavioral response of male zebrafish.

Uni- and multimodal sensory-supported interventions for very preterm and extremely preterm infants in the neonatal intensive care unit: An overview of systematic reviews and interventional studies.

BACKGROUND: Very and extremely preterm infants (VEPIs) experience sensory deprivation in the neonatal intensive care unit (NICU). While various sensory-supported interventions might improve immediate physiological response, their impact on long-term development remains unclear. Additionally, these interventions may pose challenges in the NICU environment due to complex treatments and monitoring requirements. AIMS: This review aimed to understand the current evidence on sensory-supported interventions in the NICU, identify the components of these interventions and determine their effects on the VEPIs. STUDY DESIGN: A systematic search across nine electronic databases (PubMed, EBSCO, EMBASE, Web of Science, Scopus, Cochrane, Cochrane trial, IEEE Xplore DL and ACM DL) was conducted in December 2020 and updated in September 2022. The search gathers information on sensory-supported interventions for VEPIs in the NICU. RESULTS: The search yielded 23 systematic reviews and 22 interventional studies, categorized into auditory (19), tactile/kinesthetic (5), positional/movement support (7), visual (1) and multisensory (13) interventions. While unimodal and multimodal interventions showed short-term benefits, their long-term effects on VEPIs are indeterminate. Translating these findings into clinical practice remains a challenge due to identified gaps. CONCLUSION: Our reviews indicate that sensory-supported interventions have a transient impact, with intervention studies reporting positive effects. Future research should develop and test comprehensive, continuous multisensory interventions tailored for the early NICU stage. RELEVANCE TO CLINICAL PRACTICE: Multimodal sensory interventions show promise for VEPIs, but long-term effects need further study. Standardizing protocols for NICU integration and parental involvement is crucial. Ongoing research and collaboration are essential for optimizing interventions and personalized care.

[Chemical constituents from Alangium chinense subsp. pauciflorum].

Chemical constituents of 70% ethanol extract of Alangium chinense subsp. pauciflorum were investigated. The 70% ethanol extract of A. chinense subsp. pauciflorum was isolated and purified by D-101 macroporous resins, silica gel, Sephadex LH-20 and other methods. As a result, nineteen compounds were isolated and identified as 4-cyclohexene-1α,2α,3α-triol-1-O-ß-D-glucoside(1), 1ß,4α,6α,13-tetrahydroxy-eudesm-11(12)-ene(2), sucrose(3), 1'-O-benzyl-α-L-rhamnopyranosyl-(1″→6')-ß-D-glucopyranoside(4), bis(2-ethylhexyl)benzene-1,2-dicarboxylate(5),(Z)-10-heneicosenoic acid(6), di-O-methylcrenati(7), methyl-α-D-fructofuranoside(8), ß-daucosterol(9), syringic acid(10), vanillicacid(11), octacosanol(12), isoarborinol(13), 2,7-dihydroxy-6-methyl-4-(1-methylethyl)-1-naphthalenecarboxylate(14),vanillin(15), coniferyl aldehyde(16), 9(11)-dehydroergosterolperoxide(17), 5α,8α-epidioxy-(22E,24R)-ergosta-6,22-dien-3ß-ol(18), ß-sitosterol(19), respectively. Compounds 1 and 2 were new compounds, compounds 5-11, 13, 15-18 were isolated from Alangium for the first time.The anti-inflammatory activity of compourd 1 was determinded by the LPS-induced RAW264.7 macrophage inflammation model. The results showed that the new compound 1 has a certain inhibitory effect on LPS-induced NO production of RAW264.7 cells, and the inhibitory rate was 54.57%.

[A new sesquiterpenoid from Lindera aggregata].

The chemical composition of the aqueous part of the extract from Lindera aggregata was studied, which was separated and purified by the macroporous resin column chromatography, MCI medium pressure column chromatography, semi-preparative high-performance liquid phase and other methods. The structures of the compounds were identified according to physical and chemical properties and spectroscopic data. Thirteen compounds were isolated and identified from the aqueous extracts, which were identified as(1S,3R,5R,6R,8S,10S)-epi-lindenanolide H(1), tachioside(2), lindenanolide H(3), leonuriside A(4), 3,4-dihydroxyphenyl ethyl ß-D-glucopyranoside(5), 3,4,5-trimethoxyphenol-1-O-6-α-L-rhamnose-(1→6)-O-ß-D-glucoside(6), 5-hydroxymethylfurfural(7),(+)-lyoniresin-4-yl-ß-D-glucopyranoside(8), lyoniside(9), norboldine(10), norisopordine(11), boldine(12), reticuline(13). Among them, compound 1 was a new one, and compounds 2, 5, 6, 8, 9 were obtained from L. aggregata for the first time. The inflammatory model was induced by lipopolysaccharide(LPS) in the RAW264.7 cells. The results showed that compounds 1, 8, 10 and 12 had significant anti-inflammatory activity.

miR-424-3p promotes metastasis of hepatocellular carcinoma via targeting the SRF-STAT1/2 axis.

Although emerging evidence has established the roles of miRNAs in hepatocellular carcinoma (HCC), the global functional implication of miRNAs in this malignancy remains largely uncharacterized. Here, we aim to systematically identify novel miRNAs involved in HCC and clarify the function and mechanism of specific novel candidate miRNA(s) in this malignancy. Through an integrative omics approach, we identified ten HCC-associated functional modules and a collection of candidate miRNAs. Among them, we demonstrated that miR-424-3p, exhibiting strong associations with extracellular matrix (ECM), promotes HCC cells migration and invasion in vitro and facilitates HCC metastasis in vivo. We further demonstrated that SRF is a direct functional target of miR-424-3p, and is required for the oncogenic activity of miR-424-3p. Finally, we found that miR-424-3p reduces the interferon pathway by attenuating the transactivation of SRF on STAT1/2 and IRF9 genes, which in turn enhances the matrix metalloproteinases (MMPs)-mediated ECM remodeling. This study provides comprehensive functional relevance of miRNAs in HCC by an integrative omics analysis, and further clarifies that miR-424-3p in ECM functional module plays an oncogenic role via reducing the SRF-STAT1/2 axis in this malignancy.

Study of Huperzine A derivatives with extended protection against soman intoxication.

Pre-administration of huperzine A (Hup A) was validated to prevent poisoning from exposure to nerve agents (NAs) by reversibly inhibiting acetylcholinesterase (AChE). However, like the currently commonly used reversible inhibitors, Hup A has a short half-life and is unable to produce a long-term preventative effect. To extend the protective time of Hup A against NAs, 42 derivatives with a CN bond were designed based on the structure of Hup A in this study. All designed derivatives showed good binding capability with AChE via molecular docking. Six compounds (H3, H4, H11, H14, H16, and H25) with representative structures were selected for synthesis by Schiff base reaction, and their structures were stable. The modified Ellman's method showed the six compounds concentration-dependently inhibited AChE, and the half maximal inhibitory concentration (IC50) were higher than that of Hup A. Pretreatment of AChE with the derivatives significantly increased the IC50 of soman. In vivo experiments demonstrated H3, H4, H14, H16, and H25 had longer protective capacities against 1 × LD95 soman-induced death in mice than Hup A. The 12 h protective index showed that the protective ratios of H3, H4, H14 and H16 were 2.31, 1.85, 2.23 and 1.99 respectively, better than that of Hup A. The extended protection of the derivatives against soman may be explained by their transformation to Hup A in vivo. Furthermore, all six compounds showed lower acute oral toxicity than Hup A. Overall, our study provided an optional strategy to acquire pretreatment agents for NAs with extended action and low toxicity.

Combined metabolomics and machine learning algorithms to explore metabolic biomarkers for diagnosis of acute myocardial ischemia.

Acute myocardial ischemia (AMI) remains the leading cause of death worldwide, and the post-mortem diagnosis of AMI represents a current challenge for both clinical and forensic pathologists. In the present study, the untargeted metabolomics based on ultra-performance liquid chromatography combined with high-resolution mass spectrometry was applied to analyze serum metabolic signatures from AMI in a rat model (n = 10 per group). A total of 28 endogenous metabolites in serum were significantly altered in AMI group relative to control and sham groups. A set of machine learning algorithms, namely gradient tree boosting (GTB), support vector machine (SVM), random forest (RF), logistic regression (LR), and multilayer perceptron (MLP) models, was used to screen the more valuable metabolites from 28 metabolites to optimize the biomarker panel. The results showed that classification accuracy and performance of MLP model were better than other algorithms when the metabolites consisting of L-threonic acid, N-acetyl-L-cysteine, CMPF, glycocholic acid, L-tyrosine, cholic acid, and glycoursodeoxycholic acid. Finally, 17 blood samples from autopsy cases were applied to validate the classification model's value in human samples. The MLP model constructed based on rat dataset achieved accuracy of 88.23%, and ROC of 0.89 for predicting AMI type II in autopsy cases of sudden cardiac death. The results demonstrated that MLP model based on 7 molecular biomarkers had a good diagnostic performance for both AMI rats and autopsy-based blood samples. Thus, the combination of metabolomics and machine learning algorithms provides a novel strategy for AMI diagnosis.

A novel method for determining postmortem interval based on the metabolomics of multiple organs combined with ensemble learning techniques.

Determining postmortem interval (PMI) is one of the most challenging and essential endeavors in forensic science. Developments in PMI estimation can take advantage of machine learning techniques. Currently, applying an algorithm to obtain information on multiple organs and conducting joint analysis to accurately estimate PMI are still in the early stages. This study aimed to establish a multi-organ stacking model that estimates PMI by analyzing differential compounds of four organs in rats. In a total of 140 rats, skeletal muscle, liver, lung, and kidney tissue samples were collected at each time point after death. Ultra-performance liquid chromatography coupled with high-resolution mass spectrometry was used to determine the compound profiles of the samples. The original data were preprocessed using multivariate statistical analysis to determine discriminant compounds. In addition, three interrelated and increasingly complex patterns (single organ optimal model, single organ stacking model, multi-organ stacking model) were established to estimate PMI. The accuracy and generalized area under the receiver operating characteristic curve of the multi-organ stacking model were the highest at 93% and 0.96, respectively. Only 1 of the 14 external validation samples was misclassified by the multi-organ stacking model. The results demonstrate that the application of the multi-organ combination to the stacking algorithm is a potential forensic tool for the accurate estimation of PMI.

HBV pregenome RNA as a predictor of spontanous HBeAg seroconversion in HBeAg-positive chronic hepatitis B patients.

BACKGROUND: Previous studies have indicated that HBV pregenome RNA (HBV pgRNA) could predict HBeAg seroconversion among the chronic hapatitis B (CHB) patients treated with pegylated interferon (Peg-IFN) or nucleos(t)ide analogues (NAs). However, the data about the prediction of HBV pgRNA for spontaneous HBeAg seroconversion is limited. METHODS: One hundred thirteen CHB patients with HBeAg-positive in the immune active phase were followed up for 76 weeks without antiviral treatment. Based on the laboratory test results of liver function, HBeAg, anti-HBe, and HBV DNA at week 76, patients were assigned to two groups: spontaneous HBeAg seroconversion (group A, n = 18) and non-spontaneous HBeAg seroconversion group. Among the latter group, 36 patients were selected as controls (group B, n = 36). RESULTS: At week 12, between group A and group B, there was a significant difference in the level of HBV pgRNA (group A 6.35 ± 1.24 log10 copies/ml and group B 7.52 ± 0.79 log10 copies/ml, P = 0.001), and the difference enlarged at week 28. The receiver operating characteristic curves (AUROCs) of the HBV pgRNA level and the ∆HBV pgRNA at week 28 were 0.912 (P = 0.001, 95% CI: 0.830-0.994), and 0.934 (P = 0.001, 95% CI: 0.872-0.996), respectively. The optimal cutoffs of HBV pgRNA and the reduction from baseline (∆HBV pgRNA) at week 28 for spontaneous HBeAg seroconversion prediction were 5.63 log10 copies/ml and 1.85 log10 copies/ml, respectively. The positive predictive value and negative predictive value of HBV pgRNA and ∆HBV pgRNA at week 28 were 86.7% and 87.2%, 87.5% and 89.5%, respectively. And the combination of the HBV pgRNA level and the HBV pgRNA decreased could provide better prediction. CONCLUSIONS: HBV pgRNA is a sound predictor for spontaneous HBeAg seroconversion among the CHB patients in immune active phase. Dynamic monitoring of HBV pgRNA is helpful for clinical treatment decision.

PGC 1α-Mediates Mitochondrial Damage in the Liver by Inhibiting the Mitochondrial Respiratory Chain as a Non-cholinergic Mechanism of Repeated Low-Level Soman Exposure.

This work aimed to assess whether mitochondrial damage in the liver induced by subacute soman exposure is caused by peroxisome proliferator-activated receptor-gamma coactivator 1 alpha (PGC-1α) and whether PGC-1α regulates mitochondrial respiratory chain damage. Toxicity mechanism research may provide theoretical support for developing anti-toxic drugs in the future. First, a soman animal model was established in male Sprague-Dawley (SD) rats by subcutaneous soman injection. Then, liver damage was biochemically evaluated, and acetylcholinesterase (AChE) activity was also determined. Transmission electron microscopy (TEM) was performed to examine liver mitochondrial damage, and high-resolution respirometry was carried out for assessing mitochondrial respiration function. In addition, complex I-IV levels were quantitatively evaluated in isolated liver mitochondria by enzyme-linked immunosorbent assay (ELISA). PGC-1α levels were detected with a Jess capillary-based immunoassay device. Finally, oxidative stress was analyzed by quantifying superoxide dismutase (SOD), malondialdehyde (MDA), glutathione (GSH), oxidized glutathione (GSSG), and reactive oxygen species (ROS) levels. Repeated low-level soman exposure did not alter AChE activity, while increasing morphological damage of liver mitochondria and liver enzyme levels in rat homogenates. Complex I, II and I + II activities were 2.33, 4.95, and 5.22 times lower after treatment compared with the control group, respectively. Among complexes I-IV, I-III decreased significantly (p < 0.05), and PGC-1α levels were 1.82 times lower after soman exposure than in the control group. Subacute soman exposure significantly increased mitochondrial ROS production, which may cause oxidate stress. These findings indicated dysregulated mitochondrial energy metabolism involves PGC-1α protein expression imbalance, revealing non-cholinergic mechanisms for soman toxicity.

Short- and long-term impacts of the COVID-19 epidemic on urban PM2.5 variations: Evidence from a megacity, Chengdu.

As the new coronavirus pandemic enters its third year, its long-term impact on the urban environment cannot be ignored, especially in megacities with more than millions of people. Here, we analyzed the changes in the concentration levels, emission sources, temporal variations and holiday effects of ambient fine particulate matter (PM2.5) and its chemical components in the pre- and post-epidemic eras based on high-resolution, long time-series datasets of PM2.5 and its chemical components in Chengdu. In the post-epidemic era, the PM2.5 concentration in Chengdu decreased by 7.4%, with the components of PM2.5 decreasing to varying degrees. The positive matrix factorization (PMF) results indicated that the emissions from soil dust and industrial production were significantly lower during the COVID-19 lockdown period and post-epidemic era than those in the pre-epidemic era. In contrast, the contribution of secondary aerosols to PM2.5 during these two periods increased by 2.7% and 6.6%, respectively. Notably, we found that PM2.5 and its components substantially decreased on workdays and holidays in the post-epidemic era due to the reduced traffic volume and outdoor activities. This provides direct evidence that changes in the habitual behavior patterns of urban residents in the post-epidemic era could exert an evident positive impact on the urban environment. However, the higher PM2.5 concentration was observed due to the increased consumption of regular (As4S4, Xionghuang in Chinese) and "sulfur incense" during the Dragon Boat Festival holiday in the post-epidemic era. Finally, we examined the potential effects of sporadic COVID-19 outbreaks on the PM2.5 concentration in Chengdu, and there was no decrease in PM2.5 during two local COVID-19 outbreak events due to the strong influence of secondary pollution processes.

Synthesis, Bioactivity and Molecular Docking of Nereistoxin Derivatives Containing Phosphonate.

Novel nereistoxin derivatives containing phosphonate were synthesized and characterized via 31P, 1H and 13C NMR and HRMS. The anticholinesterase activity of the synthesized compounds was evaluated on human acetylcholinesterase (AChE) using the in vitro Ellman method. Most of the compounds exhibited good inhibition of acetylcholinesterase. All of these compounds were selected to assess their insecticidal activity (in vivo) against Mythimna separata Walker, Myzus persicae Sulzer and Rhopalosiphum padi. Most of the tested compounds displayed potent insecticidal activity against these three species. Compound 7f displayed good activity against all three insect species, showing LC50 values of 136.86 µg/mL for M. separata, 138.37 µg/mL for M. persicae and 131.64 µg/mL for R. padi. Compound 7b had the highest activity against M. persicae and R. padi, with LC50 values of 42.93 µg/mL and 58.19 µg/mL, respectively. Docking studies were performed to speculate the possible binding sites of the compounds and explain the reasons for the activity of the compounds. The results showed that the compounds had lower binding energies with AChE than with the acetylcholine receptor (AchR), suggesting that compounds are more easily bound with AChE.

Effects of Sevoflurane and Propofol on Neurological Recovery of Traumatic Brain Injury Patients in the Early Postoperative Stage: A Retrospective Cohort Study.

Objective To investigate the effects of propofol and sevoflurane on neurological recovery of traumatic brain injury (TBI) patients in the early postoperative stage.Methods We retrospectively analyzed the clinical data of TBI patients who underwent craniotomy or decompressive craniectomy. Generalized additive mixed model (GAMM) was used to analyze effects of propofol and sevoflurane on Glasgow Coma Scale (GCS) on postoperative days 1, 3, and 7. Multivariate regression analysis was used to analyze effects of the two anesthetics on Glasgow Outcome Scale (GOS) at discharge.Results A total of 340 TBI patients were enrolled in this study. There were 110 TBI patients who underwent craniotomy including 75 in the propofol group and 35 in the sevoflurane group, and 134 patients who underwent decompressive craniectomy including 63 in the propofol group and 71 in the sevoflurane group. It showed no significant difference in GCS at admission between the propofol and the sevoflurane groups among craniotomy patients (ß = 0.75, 95%CI: -0.55 to 2.05, P = 0.260). However, elevation in GCS from baseline was 1.73 points (95%CI: -2.81 to -0.66, P = 0.002) less in the sevoflurane group than that in the propofol group on postoperative day 1, 2.03 points (95%CI: -3.14 to -0.91, P < 0.001) less on day 3, and 1.31 points (95%CI: -2.43 to -0.19, P = 0.022) less on day 7. The risk of unfavorable GOS (GOS 1, 2, and 3) at discharge was higher in the sevoflurane group (OR = 4.93, 95%CI: 1.05 to 23.03, P = 0.043). No significant difference was observed among two-group decompressive craniectomy patients in GCS and GOS.Conclusions Compared to propofol, sevoflurane was associated with worse neurological recovery during the hospital stay in TBI patients undergoing craniotomy. This difference was not detected in TBI patients undergoing decompressive craniectomy.

Postmortem Interval Estimation Using Protein Chip Technology Combined with Multivariate Analysis Methods.

OBJECTIVES: To estimate postmortem interval (PMI) by analyzing the protein changes in skeletal muscle tissues with the protein chip technology combined with multivariate analysis methods. METHODS: Rats were sacrificed for cervical dislocation and placed at 16 ℃. Water-soluble proteins in skeletal muscles were extracted at 10 time points (0 d, 1 d, 2 d, 3 d, 4 d, 5 d, 6 d, 7 d, 8 d and 9 d) after death. Protein expression profile data with relative molecular mass of 14 000-230 000 were obtained. Principal component analysis (PCA) and orthogonal partial least squares (OPLS) were used for data analysis. Fisher discriminant model and back propagation (BP) neural network model were constructed to classify and preliminarily estimate the PMI. In addition, the protein expression profiles data of human skeletal muscles at different time points after death were collected, and the relationship between them and PMI was analyzed by heat map and cluster analysis. RESULTS: The protein peak of rat skeletal muscle changed with PMI. The result of PCA combined with OPLS discriminant analysis showed statistical significance in groups with different time points (P<0.05) except 6 d, 7 d and 8 d after death. By Fisher discriminant analysis, the accuracy of internal cross-validation was 71.4% and the accuracy of external validation was 66.7%. The BP neural network model classification and preliminary estimation results showed the accuracy of internal cross-validation was 98.2%, and the accuracy of external validation was 95.8%. There was a significant difference in protein expression between 4 d and 25 h after death by the cluster analysis of the human skeletal muscle samples. CONCLUSIONS: The protein chip technology can quickly, accurately and repeatedly obtain water-soluble protein expression profiles in rats' and human skeletal muscles with the relative molecular mass of 14 000-230 000 at different time points postmortem. The establishment of multiple PMI estimation models based on multivariate analysis can provide a new idea and method for PMI estimation.

Emerging roles and potential clinical applications of noncoding RNAs in hepatocellular carcinoma.

Hepatocellular carcinoma(HCC) is one of the most common forms of cancer, and accounts for a high proportion of cancer-associated deaths. Growing evidences have demonstrated that non- protein-coding regions of the genome could give rise to transcripts, termed noncoding RNA (ncRNA), that form novel functional layers of the cellular activity. ncRNAs are implicated in different molecular mechanisms and functions at transcriptional, translational and post-translational levels. An increasing number of studies have demonstrated a complex array of molecular and cellular functions of ncRNAs in different stages of the HCC tumorigenesis, either in an oncogenic or tumor-suppressive manner. As a result, several pre-clinical studies have highlighted the great potentials of ncRNAs as novel biomarkers for cancer diagnosis or therapeutics in targeting HCC progression. In this review, we briefly described the characteristics of several representative ncRNAs and summarized the latest findings of their roles and mechanisms in the development of HCC, in order to better understand the cancer biology and their potential clinical applications in this malignancy.

CCL7 playing a dominant role in recruiting early OCPs to facilitate osteolysis at metastatic site of colorectal cancer.

BACKGROUND: Chemoattractant is critical to recruitment of osteoclast precursors and stimulates tumor bone metastasis. However, the role of chemoattractant in bone metastasis of colorectal cancer (CRC) is still unclear. METHODS: Histochemistry analysis and TRAP staining were utilized to detect the bone resorption and activation of osteoclasts (OCs) after administration of CCL7 neutralizing antibody or CCR1 siRNA. qRT-PCR analysis and ELISA assay were performed to detect the mRNA level and protein level of chemoattractant. BrdU assay and Tunel assay were used to detect the proliferation and apoptosis of osteoclast precursors (OCPs). The migration of OCPs was detected by Transwell assay. Western blots assay was performed to examine the protein levels of pathways regulating the expression of CCL7 or CCR1. RESULTS: OCPs-derived CCL7 was significantly upregulated in bone marrow after bone metastasis of CRC. Blockage of CCL7 efficiently prevented bone resorption. Administration of CCL7 promoted the migration of OCPs. Lactate promoted the expression of CCL7 through JNK pathway. In addition, CCR1 was the most important receptor of CCL7. CONCLUSION: Our study indicates the essential role of CCL7-CCR1 signaling for recruitment of OCPs in early bone metastasis of CRC. Targeting CCL7 or CCR1 could restore the bone volume, which could be a potential therapeutical target. Video Abstract.

Design, synthesis and in vitro biological evaluation of marine phidianidine derivatives as potential anti-inflammatory agents.

Phidianidines A and B are novel marine indole alkaloids with various biological activities. Based on their potential anti-inflammatory properties, a series of phidianidine derivatives were designed, synthesized, and tested for their effects on IL-17A production in PMA/ionomycin-stimulated T-cell-lymphoma EL-4 cells. Compounds 9a and 22c exhibited excellent anti-inflammatory activity and low toxicity, with IC50 values of 7.7 µM and 5.3 µM for IL-17A production in PMA/ionomycin-stimulated EL-4 cells, respectively. Further mechanistic study showed that 9a could decrease the STAT3 phosphorylation at Y705 to inhibit IL-17A production in EL-4 cells, indicating its ability of preventing the differentiation of Th17 cells and their possible function. This research may give an insight for the discovery of marine indole alkaloid derived anti-inflammatory drug leads for the treatment of T cell-mediated diseases.

BAG2-activated cell autophagy and mir-27b dynamic regulation mechanism during Mycobacterium tuberculosis infection.

Tuberculosis is a highly contagious infectious disease. Mycobacterium tuberculosis infection is the main cause of tuberculosis. During the infection of M. tuberculosis, the expression of the resistance gene BAG2 will change, and miR-27b will play a certain role in dynamic regulation. The purpose of this article is to explore in-depth the effect of BAG2 on cell autophagy during M. tuberculosis infection and the dynamic regulatory mechanism of miR-27b on BAG2 activated cell autophagy. Fifty rats were used as experimental subjects, and M. tuberculosis strains H37Ra and H37Rv were implanted into the rats. Fluorescence quantitative PCR was used to detect the dynamic changes of BAG2 and miR-27b expression levels in rats and the regulatory effect of miR-27b on BAG2, and the effect of changes in BAG2 expression levels on cell autophagy was studied by immunoblotting. The results showed that after M. tuberculosis-infected macrophages, the expression level of BAG2 decreased from (284.24±6.31) to (156.48.24±4.49), and the expression level of miR-27b was increased from (43.72±3.35) to (78.35± 4.17), the apoptosis rate increased by 17.8%, and the autophagy rate increased by 20.6%. Therefore, it can be seen that the up-regulation of miR-27b expression level during M. tuberculosis infection will inhibit BAG2 expression, thereby promoting cell autophagy and apoptosis to reduce the survival rate of M. tuberculosis.

Exploring the prognosis of neuroblastoma in adolescents and adults: a case series and literature review.

Neuroblastoma (NB) is one of the most common extracranial malignant solid tumors in childhood, and over 90% of NBs are diagnosed in children under the age of 10 years old. For patients between 14 and 18 years old or older than 18 years, due to the rarity of NB, few studies have been performed in this population. Defined "adolescent cases" as individuals in 14-18 years old and "adult cases" as older than 18 years old, we reported five NB cases of adolescents and adults in our hospital. 137 cases presented a review of published literature on this topic. Clinicopathological factors and treatment modalities used of the 142 patients were assessed for their prognostic value. Better outcomes were found in adolescent patients rather than adult patients (p=0.012). Patients diagnosed with neuroblastoma or ganglioneuroblastoma (nodular type) (p=0.006) and with distant metastasis (p<0.001) were characterized by poor outcomes. Distant metastasis was an independent adverse influencing factor for overall survival in adolescent and adult NB patients. Regarding treatment modalities, complete surgical resection was a significant factor improving the survival for such patients (p<0.001). For patients with distant metastasis, a significantly longer progression-free survival with chemotherapy than without chemotherapy (p=0.038), whereas chemotherapy did not show an advantage on patients with localized disease (p=0.039). The prognosis of NB in adolescent and adult patients was worse than that in children. These two groups also showed heterogeneity in clinical factors, genetic factors, and treatment tolerance. The rarity of adolescent and adult NB can lead to misdiagnosis and incorrect management. Further optimization of chemotherapy regimens and dosage for adolescent and adult NB patients is needed. The anti-GD2 immunotherapy may be an effective approach for treatment.