Citrullination modulation stabilizes HIF-1α to promote tumour progression.

Citrullination plays an essential role in various physiological or pathological processes, however, whether citrullination is involved in regulating tumour progression and the potential therapeutic significance have not been well explored. Here, we find that peptidyl arginine deiminase 4 (PADI4) directly interacts with and citrullinates hypoxia-inducible factor 1α (HIF-1α) at R698, promoting HIF-1α stabilization. Mechanistically, PADI4-mediated HIF-1αR698 citrullination blocks von Hippel-Lindau (VHL) binding, thereby antagonizing HIF-1α ubiquitination and subsequent proteasome degradation. We also show that citrullinated HIF-1αR698, HIF-1α and PADI4 are highly expressed in hepatocellular carcinoma (HCC) tumour tissues, suggesting a potential correlation between PADI4-mediated HIF-1αR698 citrullination and cancer development. Furthermore, we identify that dihydroergotamine mesylate (DHE) acts as an antagonist of PADI4, which ultimately suppresses tumour progression. Collectively, our results reveal citrullination as a posttranslational modification related to HIF-1α stability, and suggest that targeting PADI4-mediated HIF-1α citrullination is a promising therapeutic strategy for cancers with aberrant HIF-1α expression.

Hyperlipidemia negatively impacts implantation by dysregulating tight junction and Claudin-3 and Claudin-4 expression in the endometrium.

Clinical observational studies have suggested hyperlipidemia may disturb embryo implantation through endometrium; however, the mechanism has been unclear. With its profound implications for reproductive health, the present study aims to investigate whether hyperlipidemia affects endometrial epithelial cell tight junctions for implantation failures. By constructing hyperlipidemia mice model, the number and distribution of embryo implantation status were investigated after both natural mating and in vitro fertilization and embryo transfer (IVF-ET). Transmission electron microscopy (TEM) was used to compare the ultrastructure of tight junctions in endometrial endothelial cells. Western blot and immunofluorescence were used to explore the expression and localization of tight junction proteins, such as Claudin (CDLN)3, CLDN4, occludin (OCLN), and zonula occludens-1 (ZO1). For women with reproductive failure, mid-luteal phase endometrial tissues were collected, and gene expression of tight junction proteins was investigated using RNA sequencing and qRT-PCR. In hyperlipidemic mice, the number of embryo implantation sites significantly decreased with uneven distribution after natural mating and IVF-ET. Disrupted tight junctions were found, characterized by a decreased number of tight junctions by TEM, downregulated expressions of CDLN4, OCLN, and ZO1, and an increased expression of CLDN3 by western blot. In hyperlipidemic women with reproductive failure, the dysregulated expression of CLDN3 and CLDN4 was also present in the luteal phase endometrium. In this study, evaluation of both animal models and infertile women in vivo demonstrated that hyperlipidemia reduced female fertility, accompanied by disruption of tight junction structures and dysregulation of CLDN3 and CLDN4 expression in the endothelial cells of luteal phase endometrium.

Mitochondrial dysfunction and oxidative stress in selective fetal growth restriction.

INTRODUCTION: Placental dysfunction is the primary cause of selective fetal growth restriction (sFGR), and the specific role of mitochondria remains unclear. This study aims to elucidate mitochondrial functional defects in sFGR placentas and explore the roles of mitochondrial genomic and epigenetic alterations in its pathogenesis. METHODS: The placental villi of MCDA twins with sFGR were collected and the morphology and number of mitochondria were observed by transmission electron microscopy. Meanwhile, the levels of reactive oxygen species (ROS), ATP and oxidative damage markers were assessed. Mitochondrial DNA (mtDNA) copy number detection, targeted sequencing and methylation sequencing were performed. The expression of placental cytochrome c oxidase subunit I (COX I) and mitochondrial long non-coding RNAs (lncRNAs) were evaluated by Western blotting and qPCR. RESULTS: Compared with placentae from normal fetuses, pronounced mitochondrial damage within cytotrophoblast was revealed in sFGR placentae, alongside augmented mitochondrial number in syncytiotrophoblast. Enhanced oxidative stress in these placentae was evidenced by elevated markers of oxidative damage, accompanied by increased ROS production and diminished ATP generation. In sFGR placentae, a notable rise in mitochondrial copy number and one heterozygous mutation in the MT-RNR2 gene were observed, along with decreased COX Ⅰ levels, increased lncND5, lncND6, lncCyt b, and MDL1 synthesis, and decreased RMRP synthesis. DISCUSSION: Findings collectively confirmed an exacerbation of oxidative stress within sFGR placentae, coinciding with mitochondrial dysfunction, compromised energy production, and ultimately the failure of compensatory mechanisms to restore energy balance, which may result from mutations in the mitochondrial genome and abnormal expression of epigenetic regulatory genes.

Efficacy of hemostatic powder monotherapy versus conventional endoscopic treatment for nonvariceal gastrointestinal bleeding: a meta-analysis and trial sequential analysis.

BACKGROUND AND AIMS: Hemostatic powder (HP) is a novel hemostasis modality for nonvariceal gastrointestinal (GI) bleeding. The meta-analysis was performed to evaluate the efficacy of HP monotherapy versus conventional endoscopic treatment (CET) for nonvariceal GI bleeding. METHODS: PubMed, Embase, and Cochrane Library databases were systematically searched from inception to October 16, 2023. The primary outcomes were the initial hemostatic rate and the 30-day rebleeding rate. After the meta-analysis, the trial sequential analysis (TSA) was also conducted to decrease the risk of random errors and validate the result. RESULTS: The meta-analysis included eight studies, incorporating 653 patients in total. Given significant heterogeneity, all analyses were segregated into malignancy-related and non-malignancy-related GI bleeding lesions. For the former, HP monotherapy significantly improved the initial hemostasis rate and 30-day rebleeding rate compared to CET (Relative risk [RR] 1.50, 95% confidence interval [CI] 1.28 - 1.75, P < .001; RR .32, 95% CI .12 - .86, P = .02), and TSA supported the above results. For non-malignancy-related GI bleeding, HP monotherapy and CET have similar initial hemostasis and 30-day rebleeding rates (RR 1.08, 95% CI .98 - 1.19, P = .11; RR 1.15, 95% CI .46 - 2.90, P = .76), but the TSA failed to confirm the above results. CONCLUSIONS: In conclusion, HP monotherapy surpassed CET in terms of the initial hemostasis rate and 30-day rebleeding rate for patients with malignancy-related GI bleeding. However, their relative efficacy for non-malignancy-related GI bleeding remains unresolved.

SCINet: A Segmentation and Classification Interaction CNN Method for Arteriosclerotic Retinopathy Grading.

As a common disease, cardiovascular and cerebrovascular diseases pose a great harm threat to human wellness. Even using advanced and comprehensive treatment methods, there is still a high mortality rate. Arteriosclerosis, as an important factor reflecting the severity of cardiovascular and cerebrovascular diseases, is imperative to detect the arteriosclerotic retinopathy. However, the detection of arteriosclerosis retinopathy requires expensive and time-consuming manual evaluation, while end-to-end deep learning detection methods also need interpretable design to high light task-related features. Considering the importance of automatic arteriosclerotic retinopathy grading, we propose a segmentation and classification interaction network (SCINet). We propose a segmentation and classification interaction architecture for grading arteriosclerotic retinopathy. After IterNet is used to segment retinal vessel from original fundus images, the backbone feature extractor roughly extracts features from the segmented and original fundus arteriosclerosis images and further enhances them through the vessel aware module. The last classifier module generates fundus arteriosclerosis grading results. Specifically, the vessel aware module is designed to highlight the important areal vessel features segmented from original images by attention mechanism, thereby achieving information interaction. The attention mechanism selectively learns the vessel features of segmentation region information under the proposed interactive architecture, which leads to reweighting the extracted features and enhances significant feature information. Extensive experiments have confirmed the effect of our model. SCINet has the best performance on the task of arteriosclerotic retinopathy grading. Additionally, the CNN method is scalable to similar tasks by incorporating segmented images as auxiliary information.

Construction of recombinant Marek's disease virus co-expressing σB and σC of avian reoviruses.

Avian reoviruses (ARVs) cause viral arthritis or tenosynovitis, resulting in poor weight gain and increased feed conversion ratios in chickens. In this study, we generated three Marek's disease virus (MDV) recombinants, namely, rMDV-ARV-σB, rMDV-ARV-σC, and rMDV-ARV-σB + C, expressing ARV σB, σC, and both σB and σC, respectively. In rMDV-ARV-σB and rMDV-ARV-σC, the σB or σC gene was inserted into the US2 gene of MDV vaccine strain 814 using a fosmid-based rescue system. In rMDV-ARV-σB + C, the σB and σC genes were cloned into different expression cassettes, which were co-inserted into the US2 gene of the MDV 814 strain. In infected chicken embryo fibroblasts (CEFs), the recombinant virus rMDV-ARV-σB expressed σB, rMDV-ARV-σC expressed σC, and the rMDV-ARV-σB + C virus simultaneously expressed σB and σC. These recombinant viruses exhibited growth kinetics in CEFs similar to those of the parent MDV, and the inserted genes were stably maintained and expressed in the recombinant MDVs after 20 passages in cell cultures. These recombinant MDVs expressing σB and σC will provide potential vaccines against ARV infection in chickens.

Nobiletin, an activator of the pyruvate kinase isozyme M1/M2 protein, upregulated the glycolytic signalling pathway and alleviated depressive-like behaviour caused by artificial light exposure at night in zebrafish.

We established a zebrafish model of depression-like behaviour induced by exposure to artificial light at night (ALAN) and found that nobiletin (NOB) alleviated depression-like behaviour. Subsequently, based on the results of a 24-h free movement assay, clock gene expression and brain tissue transcriptome sequencing, the glycolysis signalling pathway was identified as a potential target through which NOB exerted antidepressant effects. Using the ALAN zebrafish model, we found that supplementation with exogenous L-lactic acid alleviated depressive-like behaviour. Molecular docking and molecular dynamics simulations revealed an inter-molecular interaction between NOB and the pyruvate kinase isozyme M1/M2 (PKM2) protein. We then used compound 3 k to construct a zebrafish model in which PKM2 was inhibited. Our analysis of this model suggested that NOB alleviated depression-like behaviour via inhibition of PKM2. In summary, NOB alleviated depressive-like behaviour induced by ALAN in zebrafish via targeting of PKM2 and activation of the glycolytic signalling pathway.

Dynamics of phytoplankton assemblages determined by the HPLC-PIGMENTUM approach and the related environmental variables in the northern Chinese sea.

During the spring and summer of 2021, two investigations were conducted in the northern Chinese sea by using the high-performance liquid chromatography with the pigment-based chemotaxonomic tool PIGMENTUM. Results showed that the average chlorophyll a (Chl a) concentration during spring was significantly higher (p < 0.01) than that during summer. 19'-hexanoyloxyfucoxanthin-containing algae, alloxanthin-containing algae (ACA), and fucoxanthin-containing algae (FCA) were the main pigment groups in spring, whereas zeaxanthin-containing algae (ZCA) and peridinin-containing algae (PeCA) were dominated in summer. Five ecological provinces were divided, and the phytoplankton biomass (Chl a) in Province V was the lowest. Redundancy analysis showed that ACA, FCA, and PeCA were positively correlated with nutrients; in comparison, ZCA preferred high salinity. The PIGMENTUM estimates were significantly positively correlated (p < 0.01) with CHEMTAX for all phytoplankton assemblages. Nevertheless, the coefficients of determination and slope by regression analysis between two methods showed large differences for several phytoplankton groups.

Artificial intelligence in the anterior segment of eye diseases.

Ophthalmology is a subject that highly depends on imaging examination. Artificial intelligence (AI) technology has great potential in medical imaging analysis, including image diagnosis, classification, grading, guiding treatment and evaluating prognosis. The combination of the two can realize mass screening of grass-roots eye health, making it possible to seek medical treatment in the mode of "first treatment at the grass-roots level, two-way referral, emergency and slow treatment, and linkage between the upper and lower levels". On the basis of summarizing the AI technology carried out by scholars and their teams all over the world in the field of ophthalmology, quite a lot of studies have confirmed that machine learning can assist in diagnosis, grading, providing optimal treatment plans and evaluating prognosis in corneal and conjunctival diseases, ametropia, lens diseases, glaucoma, iris diseases, etc. This paper systematically shows the application and progress of AI technology in common anterior segment ocular diseases, the current limitations, and prospects for the future.

Differences in the landscape of colonized microorganisms in different oral potentially malignant disorders and squamous cell carcinoma: a multi-group comparative study.

BACKGROUND: The role of microbes in diseases, especially cancer, has garnered significant attention. However, research on the oral microbiota in oral potentially malignant disorders (OPMDs) remains limited. Our study investigates microbial communities in OPMDs. MATERIALS AND METHODS: Oral biopsies from19 oral leukoplakia (OLK) patients, 19 proliferative verrucous leukoplakia (PVL) patients, 19 oral lichen planus (OLP) patients, and 19 oral lichenoid lesions (OLL) patients were obtained. 15 SCC specimens were also collected from PVL patients. Healthy individuals served as controls, and DNA was extracted from their paraffin-embedded tissues. 2bRAD-M sequencing generated taxonomic profiles. Alpha and beta diversity analyses, along with Linear Discriminant Analysis effect size analysis, were conducted. RESULTS: Our results showed the microbial richness and diversity were significantly different among groups, with PVL-SCC resembling controls, while OLK exhibited the highest richness. Each disease group displayed unique microbial compositions, with distinct dominant bacterial species. Noteworthy alterations during PVL-SCC progression included a decline in Fusobacterium periodonticum and an elevation in Prevotella oris. CONCLUSIONS: Different disease groups exhibited distinct dominant bacterial species and microbial compositions. These findings offer promise in elucidating the underlying mechanisms of this disease.

A novel role of ETV6 as a pro-viral factor in host response by inhibiting TBK1 phosphorylation.

E26-transforming specific (ETS) variant 6 (ETV6) is a transcription factor regulating the expression of interferon stimulating genes (ISGs) and involved in the embryonic development and hematopoietic regulation, but the role of ETV6 in host response to virus infection is not clear. In this study, we show that ETV6 was upregulated in DF-1 cells with poly(I:C) stimulation or IBDV, AIV and ARV infection via engagement of dsRNA by MDA5. Overexpression of ETV6 in DF-1 cells markedly inhibited IBDV-induced type I interferon (IFN-I) and ISGs expressions. In contrast, knockdown, or knockout of ETV6 remarkably inhibited IBDV replication via promoting IFN-I response. Furthermore, our data show that ETV6 negatively regulated host antiviral response to IBDV infection by interaction with TANK binding kinase 1 (TBK1) and subsequently inhibited its phosphorylation. These results uncovered a novel role of ETV6 as a pro-viral factor in host response by inhibiting TBK1 phosphorylation, furthering our understandings of RNA virus immunosuppression and providing a valuable clue to the development of antiviral reagents for the control of avian RNA virus infection.

Combination of trimethoprim-sulfamethoxazole and mesenchymal stem cell therapy to treat toxoplasmic encephalitis after hematopoietic stem cell transplantation: A case report.

Toxoplasmosis, caused by the parasite Toxoplasma gondii, is a life-threatening infection that may occur following hematopoietic stem cell transplantation (HSCT). Toxoplasmic encephalitis (TE) is one of the most severe manifestations of this infection and often results in unsatisfactory therapeutic outcomes, especially regarding neurological damage. Recent studies have demonstrated that human umbilical cord-derived mesenchymal stem cells (hUC-MSCs) can significantly aid in neural repair and remodeling. Furthermore, hUC-MSCs have been shown to reduce the risk of graft-versus-host disease (GVHD) associated with the reduction or discontinuation of immunosuppressive therapy. In this case report, we present a pediatric patient who developed TE as a complication of haploidentical HSCT. The patient received a combined treatment regimen of standard anti-Toxoplasma therapy and adjunctive hUC-MSC therapy. The outcomes were satisfactory. The patient regained consciousness, maintained a stable body temperature, and regained the ability to perform daily activities independently. Additionally, next-generation sequencing revealed a decrease in Toxoplasma DNA sequences in the blood and cerebrospinal fluid to undetectable levels. This case report underscores the potential of hUC-MSCs as a promising therapeutic modality for TE.

Influence of perinatal factors on full-term low-birth-weight infants and construction of a predictive model.

BACKGROUND: Being too light at birth can increase the risk of various diseases during infancy. AIM: To explore the effect of perinatal factors on term low-birth-weight (LBW) infants and build a predictive model. This model aims to guide the clinical management of pregnant women's healthcare during pregnancy and support the healthy growth of newborns. METHODS: A retrospective analysis was conducted on data from 1794 single full-term pregnant women who gave birth. Newborns were grouped based on birth weight: Those with birth weight < 2.5 kg were classified as the low-weight group, and those with birth weight between 2.5 kg and 4 kg were included in the normal group. Multiple logistic regression analysis was used to identify the factors influencing the occurrence of full-term LBW. A risk prediction model was established based on the analysis results. The effectiveness of the model was analyzed using the Hosmer-Leme show test and receiver operating characteristic (ROC) curve to verify the accuracy of the predictions. RESULTS: Among the 1794 pregnant women, there were 62 cases of neonatal weight < 2.5 kg, resulting in an LBW incidence rate of 3.46%. The factors influencing full-term LBW included low maternal education level [odds ratio (OR) = 1.416], fewer prenatal examinations (OR = 2.907), insufficient weight gain during pregnancy (OR = 3.695), irregular calcium supplementation during pregnancy (OR = 1.756), and pregnancy hypertension syndrome (OR = 2.192). The prediction model equation was obtained as follows: Logit (P) = 0.348 × maternal education level + 1.067 × number of prenatal examinations + 1.307 × insufficient weight gain during pregnancy + 0.563 × irregular calcium supplementation during pregnancy + 0.785 × pregnancy hypertension syndrome - 29.164. The area under the ROC curve for this model was 0.853, with a sensitivity of 0.852 and a specificity of 0.821. The Hosmer-Leme show test yielded χ 2 = 2.185, P = 0.449, indicating a good fit. The overall accuracy of the clinical validation model was 81.67%. CONCLUSION: The occurrence of full-term LBW is related to maternal education, the number of prenatal examinations, weight gain during pregnancy, calcium supplementation during pregnancy, and pregnancy-induced hypertension. The constructed predictive model can effectively predict the risk of full-term LBW.

Recent advances in pharmaceutical cocrystals of theophylline.

Currently, cocrystallization is a promising strategy for tailoring the physicochemical properties of active pharmaceutical ingredients. Theophylline, an alkaloid and the most primary metabolite of caffeine, is a readily available compound found in tea and coffee. It functions primarily as a bronchodilator and respiratory stimulant, making it a mainstay treatment for lung diseases like asthma. Theophylline's additional potential benefits, including anti-inflammatory and anticancer properties, and its possible role in neurological disorders, have garnered significant research interest. Cocrystal formation presents a viable approach to improve the physicochemical properties of theophylline and potentially mitigate its toxic effects. This review comprehensively explores several successful studies that utilized cocrystallization to favorably alter the physicochemical properties of theophylline or its CCF. Notably, cocrystals can not only enhance the solubility and bioavailability of theophylline but also exhibit synergistic effects with other APIs. The review further delves into the hydrogen bonding sites within the theophylline structure and the hydrogen bonding networks observed in cocrystal structures.

Clinical and pathogen features of COVID-19-associated infections during an Omicron strain outbreak in Guangzhou, China.

Although the Omicron variant has been associated with greater transmissibility and tropism of the upper respiratory tract, the clinical and pathogenic features of patients infected with the Omicron variant during an outbreak in China have been unclear. Adults with COVID-19 were retrospectively enrolled from seven medical centers in Guangzhou, China, and clinical information and specimens ( BALF, sputum, and throat swabs) from participants were collected. Conventional detection methods, metagenomics next-generation sequencing (mNGS), and other methods were used to detect pathogens in lower respiratory tract samples. From December 2022 to January 2023, we enrolled 836 patients with COVID-19, among which 56.7% patients had severe/critical illness. About 91.4% of patients were infected with the Omicron strain (BA.5.2). The detection rate of possible co-infection pathogens was 53.4% by mNGS, including Klebsiella pneumoniae (16.3%), Aspergillus fumigatus (12.2%), and Pseudomonas aeruginosa (11.8%). The co-infection rate was 19.5%, with common pathogens being Streptococcus pneumoniae (11.5%), Haemophilus influenzae (9.2%), and Adenovirus (6.9%). The superinfection rate was 75.4%, with common pathogens such as Klebsiella pneumoniae (26.1%) and Pseudomonas aeruginosa (19.4%). Klebsiella pneumoniae (27.1%% vs 6.1%, P < 0.001), Aspergillus fumigatus (19.6% vs 5.3%, P = 0.001), Acinetobacter baumannii (18.7% vs 4.4%, P = 0.001), Pseudomonas aeruginosa (16.8% vs 7.0%, P = 0.024), Staphylococcus aureus (14.0% vs 5.3%, P = 0.027), and Streptococcus pneumoniae (0.9% vs 10.5%, P = 0.002) were more common in severe cases. Co-infection and superinfection of bacteria and fungi are common in patients with severe pneumonia associated with Omicron variant infection. Sequencing methods may aid in the diagnosis and differential diagnosis of pathogens. IMPORTANCE: Our study has analyzed the clinical characteristics and pathogen spectrum of the lower respiratory tract associated with co-infection or superinfection in Guangzhou during the outbreak of the Omicron strain, particularly after the relaxation of the epidemic prevention and control strategy in China. This study will likely prompt further research into the specific issue, which will benefit clinical practice.

Uncovering the impact of metals on the formation and physicochemical properties of fat, oil and grease deposits in the sewer system.

The deposition of fats, oil, and grease (FOG) in sewers reduces conveyance capacity and leads to sanitary sewer overflows. The major contributing factor lies in the indiscriminate disposal of used cooking oil (UCO) via kitchen sinks. While prior investigations have mostly highlighted the significance of Ca2+ from concrete biocorrosion, the influence of common metal ions (e.g., Mg2+, Na+, K+) found in kitchen wastewater on FOG deposition has received limited attention in the existing literature. This study aimed to elucidate the roles of Ca, Mg, Na and K in FOG deposition in sewers and examine the influence of metal ions, fat/oil sources, and free fatty acids (FFAs) on the physicochemical and rheological properties of FOG deposits. To examine FOG deposit formation, synthetic wastewater containing 0.1 g/L of each metal ion was mixed with 40 mL of fat/oil and agitated for 8 h. Following FOG deposition, three distinct phases were observed: unreacted oil, FOG deposit and wastewater. The composition of these phases was influenced by the composition of metal ions and FFA in the wastewater. Mg produced the highest amount of FOG of 242.5 ± 10.6 mL compared to Ca (72.5 ± 3.5 mL) when each FFAs content in UCO was increased by 10 mg/mL. Molar concentration, valency and the solubility of metal ion sources were identified to influence the formation of FOG deposits via saponification and aggregation reaction. Furthermore, Fourier-Transform Infrared spectroscopy indicated that the FOG deposits in this study were similar to those collected from the field. This study showed that the use of Mg(OH)2 as a biocorrosion control measure would increase FOG deposition and highlights the need for a comprehensive understanding of its roles in real sewage systems.

Alternative Splicing Landscape of Head and Neck Squamous Cell Carcinoma.

Head and neck malignancies are a significant global health concern, with head and neck squamous cell carcinoma (HNSCC) being the sixth most common cancer worldwide accounting for > 90% of cases. In recent years, there has been growing recognition of the potential role of alternative splicing (AS) in the etiology of cancer. Increasing evidence suggests that AS is associated with various aspects of cancer progression, including tumor occurrence, invasion, metastasis, and drug resistance. Additionally, AS is involved in shaping the tumor microenvironment, which plays a crucial role in tumor development and response to therapy. AS can influence the expression of factors involved in angiogenesis, immune response, and extracellular matrix remodeling, all of which contribute to the formation of a supportive microenvironment for tumor growth. Exploring the mechanism of AS events in HNSCC could provide insights into the development and progression of this cancer, as well as its interaction with the tumor microenvironment. Understanding how AS contributes to the molecular changes in HNSCC cells and influences the tumor microenvironment could lead to the identification of new therapeutic targets. Targeted chemotherapy and immunotherapy strategies tailored to the specific AS patterns in HNSCC could potentially improve treatment outcomes and reduce side effects. This review explores the concept, types, processes, and technological advancements of AS, focusing on its role in the initiation, progression, treatment, and prognosis of HNSCC.

Laboratory diagnosis and treatment of Mycoplasma pneumoniae infection in children: a review.

Mycoplasma pneumoniae (MP) is the cause of Mycoplasma pneumoniae pneumonia (MPP) in children and adolescents, with the clinical manifestations highlighted by intermittent irritating cough, accompanied by headache, fever and muscle pain. This paper aimed to study the research status and focal points in MP infection, especially the common laboratory diagnostic methods and clinical treatment of Mycoplasma pneumoniae. Laboratory diagnostic methods include molecular assay, serological antibody detection, rapid antigen detection and isolation and culture. Polymerase chain reaction (PCR) is the gold standard with high sensitivity and specificity. The serological antibody can detect various immune antibodies qualitatively or quantitatively in serum. Rapid antigen can be detected faster, with no equipment environment requirements, which can be used for the early diagnosis of MP infection. While the culture growth cycle is long and insensitive, not recommended for routine diagnosis. Macrolides were the preferred drug for children with MPP, while the drug resistance rate was rising in China. Tetracycline can be substituted but was not recommended for children under 8 years of age, quinolone drugs are not necessary, severe MPP can be combined with glucocorticoids, involving the nervous or immune system can choose gamma globulin. Other treatments for MPP including symptomatic treatment which can alleviate symptoms, improve lung function and improve prognosis. A safe and effective vaccine needed to be developed which can provide protective immunity to children and will reduce the incidence of MPP.

Luteolin-7-diglucuronide, a novel PTP1B inhibitor, ameliorates hepatic stellate cell activation and liver fibrosis in mice.

Liver fibrosis, one of the leading causes of morbidity and mortality worldwide, lacks effective therapy. The activation of hepatic stellate cells (HSCs) is the dominant event in hepatic fibrogenesis. Luteolin-7-diglucuronide (L7DG) is the major flavonoid extracted from Perilla frutescens and Verbena officinalis. Their beneficial effects in the treatment of liver diseases were well documented. In this study we investigated the anti-fibrotic activities of L7DG and the potential mechanisms. We established TGF-ß1-activated mouse primary hepatic stellate cells (pHSCs) and human HSC line LX-2 as in vitro liver fibrosis models. Co-treatment with L7DG (5, 20, 50 µM) dose-dependently decreased TGF-ß1-induced expression of fibrotic markers collagen 1, α-SMA and fibronectin. In liver fibrosis mouse models induced by CCl4 challenge alone or in combination with HFHC diet, administration of L7DG (40, 150 mg·kg-1·d-1, i.g., for 4 or 8 weeks) dose-dependently attenuated hepatic histopathological injury and collagen accumulation, decreased expression of fibrogenic genes. By conducting target prediction, molecular docking and enzyme activity detection, we identified L7DG as a potent inhibitor of protein tyrosine phosphatase 1B (PTP1B) with an IC50 value of 2.10 µM. Further studies revealed that L7DG inhibited PTP1B activity, up-regulated AMPK phosphorylation and subsequently inhibited HSC activation. This study demonstrates that the phytochemical L7DG may be a potential therapeutic candidate for the treatment of liver fibrosis.

A Meta-analysis of Predicting Disorders of Consciousness After Traumatic Brain Injury by Machine Learning Models.

Objective: This study pursued a meta-analysis to evaluate the predictive accuracy of machine learning (ML) models in determining disorders of consciousness (DOC) among patients with traumatic brain injury (TBI). Methods: A comprehensive literature search was conducted to identify ML applications in the establishment of a predictive model of DOC after TBI as of August 6, 2023. Two independent reviewers assessed publication eligibility based on predefined criteria. The predictive accuracy was measured using areas under the receiver operating characteristic curves (AUCs). Subsequently, a random-effects model was employed to estimate the overall effect size, and statistical heterogeneity was determined based on I2 statistic. Additionally, funnel plot asymmetry was employed to examine publication bias. Finally, subgroup analyses were performed based on age, ML type, and relevant clinical outcomes. Results: Final analyses incorporated a total of 46 studies. Both the overall and subgroup analyses exhibited considerable statistical heterogeneity. Machine learning predictions for DOC in TBI yielded an overall pooled AUC of 0.83 (95% CI: 0.82-0.84). Subgroup analysis based on age revealed that the ML model in pediatric patients yielded an overall combined AUC of 0.88 (95% CI: 0.80-0.95); among the model subgroups, logistic regression was the most frequently employed, with an overall pooled AUC of 0.85 (95% CI: 0.83-0.87). In the clinical outcome subgroup analysis, the overall pooled AUC for distinguishing between consciousness recovery and consciousness disorders was 0.84 (95% CI: 0.82-0.85). Conclusion: The findings of this meta-analysis demonstrated outstanding accuracy of ML models in predicting DOC among patients with brain injuries, which presented substantial research value and potential of ML application in this domain.