Mapping the single-cell landscape of acral melanoma and analysis of the molecular regulatory network of the tumor microenvironments

Acral melanoma (AM) exhibits a high incidence in Asian patients with melanoma, and it is not well treated with immunotherapy. However, little attention has been paid to the characteristics of the immune microenvironment in AM. Therefore, in this study, we collected clinical samples from Chinese patients with AM and conducted single-cell RNA sequencing to analyze the heterogeneity of its tumor microenvironments (TMEs) and the molecular regulatory network. Our analysis revealed that genes, such as TWIST1, EREG, TNFRSF9, and CTGF could drive the deregulation of various TME components. The molecular interaction relationships between TME cells, such as MIF-CD44 and TNFSF9-TNFRSF9, might be an attractive target for developing novel immunotherapeutic agents.

Acral melanoma is a type of cancer that affects the hands and feet. It tends to form on the palms, soles, and under the nails. It is rare in people of European descent, but in Asian populations it makes up more than half of all melanoma cases. Unlike other types of skin cancer, it does not respond well to immunotherapy, but scientists did not understand why.

Historically, cancer research has focused on the genetics of whole tumors. But cancer is complicated. Malignant cells recruit other cells to help them survive and grow, and to protect them from attacks by the immune system. Together, they create their own ecosystem, called the tumor microenvironment. The exact makeup of the tumor microenvironment differs depending on the type of cancer and on the genetics of the individual. Investigating the cells that ‘support’ the tumor could help to explain how acral melanoma develops and why it does not respond to treatment.

To address these questions, He et al. collected samples from six patients with acral melanoma and examined the genes used by more than 60,000 individual cells. This revealed nine different types of cells in the tumor microenvironment. Most were cancer cells, but there were also immune cells, blood vessel cells, skin cells, and a type of cell that makes connective tissue. He et al. also identified four genes that most likely shape the tumor microenvironment, and two gene pairs that may control some of the interactions between the cells.

Investigating these early findings in more detail could open new treatment avenues for acral melanoma. The number of samples in this study was small, but it provides a starting point for future investigation. With more data, researchers could start to develop treatments that target the unique tumor microenvironment of this type of cancer.

Applying deep learning-based regional feature recognition from macro-scale image to assist energy saving and emission reduction in industrial energy systems

INTRODUCTION

Image recognition technology has immense potential to be applied in industrial energy systems for energy conservation. However, the low recognition accuracy and generalization ability under actual operation conditions limit its commercial application.

OBJECTIVES

To improve the recognition accuracy and generalization ability, a novel image recognition method integrating deep learning and domain knowledge was applied to assist energy saving and emission reduction for industrial energy systems.

METHODS

As a typical industrial scenario, the defrosting control in the refrigeration system was selected as the specific optimization object. By combining deep learning algorithm with domain knowledge, a residual-based convolutional neural network model (RCNN) was proposed specifically for frosty state recognition, which features the residual input and average pooling output. Based on the real-time recognition of frosty levels, a defrosting control optimization method was proposed to initiate and terminate the defrosting operation on demand.

RESULTS

By combining the advanced image recognition technique with specific energy domain knowledge, the proposed RCNN enables both high recognition accuracy and strong generalization ability. The recognition accuracy of RCNN reached 95.06% for the trained objects and 93.67% for non-trained objects while that of only 75.86% for the conventional CNN. By adopting the presented system optimization method assisted by RCNN, the defrosting frequency, accumulated time and energy consumption were 53.8%, 57.02% and 34.5% less than the original control method. Furthermore, the environmental and cost analysis illustrated that the annual reduction in CO₂ emissions is 2145.21 to 3412.84 kg and the payback time was less than 2.5 years which was far below the service life.

CONCLUSION

The technical feasibility and significant energy-saving benefits of deep learning-based image recognition method were demonstrated through the field experiment. Our study shows the great application potential of image recognition technology and promotes carbon neutrality in industrial energy systems.

Countrywide inter-epidemic region migration pattern suggests the role of southwestern population in wheat stripe rust epidemics in China

Understanding countrywide pathogen population structure and inter-epidemic region spread is crucial for deciphering crop potential losses. Wheat stripe rust caused by Puccinia striiformis f. sp. tritici is a destructive disease that affects worldwide wheat production, widespread in China, representing largest epidemic region globally. This study aimed to understand the population structure and migration route of P. striiformis f. sp. tritici across China based on sampling from 15 provinces representing six epidemic zones, viz., over-summering, over-wintering, eastern, Yun-Gui, Xinjiang and Tibet epidemic regions. High genotypic diversity was recorded in over-summering, Tibet and over-wintering epidemic regions. Epidemic regions partly explain population subdivision with variable divergence (F_ST  = 0.005-0.344). Xinjiang and Tibet epidemic regions were independent epidemic zones with least sharing of genotypes. Among other epidemic zones, i.e. over-summering, over-wintering, eastern and Yun-Gui epidemic zones, re-sampling MLGs, clustering-based structure, DAPC analyses, relative migration and low divergence (F_ST from 0.006 to 0.073) revealed frequent geneflow. Yun-Gui epidemic regions, with a potential for both over-summering and over-wintering, could play an important role in causing epidemics in main wheat-cultivating areas of China. High diversity, recombination signatures and inter-epidemic region migration patterns need to be considered in host-resistant cultivar development in China and neighbouring countries, considering risk of long-distance migration capacity of pathogen.

The Distribution, Seasonal Abundance, and Environmental Factors Contributing to the Presence of the Asian Longhorned Tick (Haemaphysalis longicornis, Acari: Ixodidae) in Central Appalachian Virginia

Over the past decade, Haemaphysalis longicornis, the Asian longhorned tick, has undergone a geographic range expansion in the United States, from its historical range in east Asia. This tick has been characterized by its frequent parasitism of livestock, an ability to reproduce through parthenogenesis, and its ability to transmit a variety of vector-borne pathogens to livestock, wildlife, and human hosts in its native geographic range. Thus far in the United States, 17 states have reported H. longicornis populations, including 38 counties in Virginia. These numbers come from presence-absence reports provided to the U.S. Department of Agriculture, but little has been reported about this ticks' seasonality in Virginia or its habitat preferences. Our current study detected H. longicornis populations in seven of the nine surveyed counties in Virginia. Haemaphysalis longicornis were observed in multiple habitat types including mixed hardwood forests and pastures, with abundant H. longicornis populations detected at one particular pasture site in Wythe County. This study also attempted to investigate environmental conditions that may be of importance in predicting tick presence likelihood. While sample size limited the scope of these efforts, habitat type and climatic metrics were found to be important indicators of H. longicornis collection success and abundance for both the nymphal and larval life stages. This current study reports useful surveillance data for monitoring these tick populations as they become established in the western half of Virginia and provides insight into their current distribution and maintenance over a large study region.

Gankyrin modulated non-small cell lung cancer progression via glycolysis metabolism in a YAP1-dependent manner

Non-small cell lung cancer (NSCLC) is highly malignant and heterogeneous form of lung cancer and involves various oncogene alterations. Glycolysis, an important step in tumor metabolism, is closely related to cancer progression. In this study, we investigated the biological function and mechanism of action of Gankyrin in glycolysis and its association with NSCLC. Analyzed of data from The Cancer Genome Atlas as well as NSCLC specimens and adjacent tissues demonstrated that Gankyrin expression was upregulated in NSCLC tissues compared to adjacent normal tissues. Gankyrin was found to significantly aggravate cancer-related phenotypes, including cell viability, migration, invasion, and epithelial mesenchymal transition (EMT), whereas Gankyrin silencing alleviated the malignant phenotype of NSCLC cells. Our results reveal that Gankyrin exerted its function by regulating YAP1 expression and increasing its nuclear translocation. Importantly, YAP1 actuates glycolysis, which involves glucose uptake, lactic acid production, and ATP generation and thus might contribute to the tumorigenic effect of Gankyrin. Furthermore, the Gankyrin-accelerated glycolysis in NSCLC cells was reversed by YAP1 deficiency. Gankyrin knockdown reduced A549 cell tumorigenesis and EMT and decreased YAP1 expression in a subcutaneous xenograft nude mouse model. In conclusion, both Gankyrin and YAP1 play important roles in tumor metabolism, and Gankyrin-targeted inhibition may be a potential anti-cancer therapeutic strategy for NSCLC.

Evaluation of the Potential Risk of the Emerging Yr5-Virulent Races of Puccinia striiformis f. sp. tritici to 165 Chinese Wheat Cultivars

In 2017, a new race (TSA-6) of the wheat stripe rust pathogen, Puccinia striiformis f. sp. tritici, virulent to resistance gene Yr5, was detected in China. However, whether Chinese wheat cultivars are resistant to the new race was unknown. In this study, two isolates (TSA-6 and TSA-9) with virulence to Yr5 were tested on other wheat Yr gene lines for their avirulence and virulence patterns and used, together with prevalent races CYR32 and CYR34 without the Yr5 virulence, to evaluate 165 major Chinese wheat cultivars for their reactions. Isolates TSA-6 and TSA-9 had similar but different virulence spectra and therefore should be considered two different races. Their avirulence and virulence patterns were remarkably different from that of CYR34 but quite similar to that of CYR32. Of the 165 wheat cultivars, 21 had all-stage resistance to TSA-6, 34 to TSA-9, and 20 to both races. Adult plant resistance (APR) was detected in 35 cultivars to TSA-6 and 27 to TSA-9, but only three cultivars showed APR to both new races. Slow rusting resistance was observed in 24 cultivars to TSA-6 and 33 to TSA-9. Analysis of variance of disease index indicated a significant difference between cultivars but not between the four races. Based on the molecular marker data, a low percentage of wheat cultivars carried Yr5, Yr7, Yr10, Yr15, Yr26, or YrSP. Because TSA-6 and TSA-9 can be a serious threat to wheat production in China, continual monitoring of TSA-6, TSA-9, and other races is needed.

Systematic analyses identify the anti-fibrotic role of lncRNA TP53TG1 in IPF

Long non-coding RNA (lncRNA) was reported to be a critical regulator of cellular homeostasis, but poorly understood in idiopathic pulmonary fibrosis (IPF). Here, we systematically identified a crucial lncRNA, p53-induced long non-coding RNA TP53 target 1 (TP53TG1), which was the dysregulated hub gene in IPF regulatory network and one of the top degree genes and down-regulated in IPF-drived fibroblasts. Functional experiments revealed that overexpression of TP53TG1 attenuated the increased expression of fibronectin 1 (Fn1), Collagen 1α1, Collagen 3α1, ACTA2 mRNA, Fn1, and Collagen I protein level, excessive fibroblasts proliferation, migration and differentiation induced by TGF-β1 in MRC-5 as well as PMLFs. In vivo assays identified that forced expression of TP53TG1 by adeno-associated virus 5 (AAV5) not only prevented BLM-induced experimental fibrosis but also reversed established lung fibrosis in the murine model. Mechanistically, TP53TG1 was found to bind to amount of tight junction proteins. Importantly, we found that TP53TG1 binds to the Myosin Heavy Chain 9 (MYH9) to inhibit its protein expression and thus the MYH9-mediated activation of fibroblasts. Collectively, we identified the TP53TG1 as a master suppressor of fibroblast activation and IPF, which could be a potential hub for targeting treatment of the disease.

LncRNA LOC105378097 inhibits cardiac mitophagy in natural ageing mice

BACKGROUND

The development of heart ageing is the main cause of chronic disability, disease and death in the elderly. Ample evidence has established a pivotal role for significantly reduced mitophagy in the ageing heart. However, the underlying mechanisms of mitophagy deficiency in ageing heart are little known. The present study aimed to explore the underlying mechanisms of lncRNA LOC105378097 (Senescence-Mitophagy Associated LncRNA, lncR-SMAL) actions on mitophagy in the setting of heart ageing.

METHODS

The expression of lncR-SMAL was measured in serum from different ages of human and heart from different ages of mice through a quantitative real-time polymerase chain reaction. The effects of lncR-SMAL on heart function of mice were assessed by echocardiography and pressure-volume measurements system. Cardiac senescence was evaluated by hematoxylin-eosin staining, senescence-associated β-galactosidase staining, flow cytometry and western blot analysis of expression of ageing related markes p53 and p21. Cardiomyocyte mitophagy was assessed by western blot, mRFP-GFP-LC3 adenovirus particles transfection and mito-Keima staining. Interaction between lncR-SMAL and Parkin was validated through molecular docking, RNA immunoprecipitation (RIP) and RNA pull-down assay. Ubiquitination assay was performed to explore the molecular mechanism of Parkin inhibition. The effects of lncR-SMAL on mitochondrial function were investigated through electron microscopic examination, JC-1 staining and oxygen consumption rates analysis.

RESULTS

The heart-enriched lncR-SMAL reached the expression crest in the serum of human at an age of 60. Exogenously overexpression of lncRNA SMAL deteriorated cardiac function exactly as natural ageing and inhibited the associated cardiomyocytes mitophagy by depressing Parkin protein level. Improved heart ageing and mitophagy caused by Parkin overexpression were reversed by lncR-SMAL in mice. In contrast, the loss of lncR-SMAL in AC16 cells induced the upregulation of Parkin protein and ameliorated mitophagy and mitochondrial dysfunction, resulting in alleviated cardiac senescence. Besides, we found the interaction between lncR-SMAL and Parkin protein through computational docking analysis, pull-down and RIP assay. This would contribute to the promotive effect of lncR-SMAL on Parkin ubiquitination and decrease Parkin protein stability.

CONCLUSIONS

The present study for the first time demonstrates a heart-enriched lncRNA, SMAL, that inhibits the mitophagy of cardiomyocytes via the downregulation of Parkin protein, which further contributes to heart ageing and cardiac dysfunction in natural ageing mice.

Machine Learning-Based Prediction Method for Tremors Induced by Tacrolimus in the Treatment of Nephrotic Syndrome

Tremors have been reported even with a low dose of tacrolimus in patients with nephrotic syndrome and are responsible for hampering the day-to-day work of young active patients with nephrotic syndrome. This study proposes a neural network model based on seven variables to predict the development of tremors following tacrolimus. The sensitivity and specificity of this algorithm are high. A total of 252 patients were included in this study, out of which 39 (15.5%) experienced tremors, 181 patients (including 32 patients who experienced tremors) were randomly assigned to a training dataset, and the remaining were assigned to an external validation set. We used a recursive feature elimination algorithm to train the training dataset, in turn, through 10-fold cross-validation. The classification performance of the classifer was then used as the evaluation criterion for these subsets to find the subset of optimal features. A neural network was used as a classification algorithm to accurately predict tremors using the subset of optimal features. This model was subsequently tested in the validation dataset. The subset of optimal features contained seven variables (creatinine, D-dimer, total protein, calcium ion, platelet distribution width, serum kalium, and fibrinogen), and the highest accuracy obtained was 0.8288. The neural network model based on these seven variables obtained an area under the curve (AUC) value of 0.9726, an accuracy of 0.9345, a sensitivity of 0.9712, and a specificity of 0.7586 in the training set. Meanwhile, the external validation achieved an accuracy of 0.8214, a sensitivity of 0.8378, and a specificity of 0.7000 in the validation dataset. This model was capable of predicting tremors caused by tacrolimus with an excellent degree of accuracy, which can be beneficial in the treatment of nephrotic syndrome patients.

Mettl14 Attenuates Cardiac Ischemia/Reperfusion Injury by Regulating Wnt1/β-Catenin Signaling Pathway

N6-methyladenosine (m6A) methylation in RNA is a dynamic and reversible modification regulated by methyltransferases and demethylases, which has been reported to participate in many pathological processes of various diseases, including cardiac disorders. This study was designed to investigate an m6A writer Mettl14 on cardiac ischemia–reperfusion (I/R) injury and uncover the underlying mechanism. The m6A and Mettl14 protein levels were increased in I/R hearts and neonatal mouse cardiomyocytes upon oxidative stress. Mettl14 knockout (Mettl14^+/−) mice showed pronounced increases in cardiac infarct size and LDH release and aggravation in cardiac dysfunction post-I/R. Conversely, adenovirus-mediated overexpression of Mettl14 markedly reduced infarct size and apoptosis and improved cardiac function during I/R injury. Silencing of Mettl14 alone significantly caused a decrease in cell viability and an increase in LDH release and further exacerbated these effects in the presence of H₂O₂, while overexpression of Mettl14 ameliorated cardiomyocyte injury in vitro. Mettl14 resulted in enhanced levels of Wnt1 m6A modification and Wnt1 protein but not its transcript level. Furthermore, Mettl14 overexpression blocked I/R-induced downregulation of Wnt1 and β-catenin proteins, whereas Mettl14^+/− hearts exhibited the opposite results. Knockdown of Wnt1 abrogated Mettl14-mediated upregulation of β-catenin and protection against injury upon H₂O₂. Our study demonstrates that Mettl14 attenuates cardiac I/R injury by activating Wnt/β-catenin in an m6A-dependent manner, providing a novel therapeutic target for ischemic heart disease.

D-Galactose-Induced Accelerated Aging Model on Auditory Cortical Neurons by Regulating Oxidative Stress and Apoptosis in Vitro

OBJECTIVES

Age-related hearing loss (ARHL) is much more prevalent with age, affecting not only peripheral but central auditory system. We have previously established an aging model of peripheral auditory system in vitro using cultured cochlear basilar membrane. However, there is no ideal accelerated aging model on central auditory system in vitro. To establish the aging model, auditory cortical neurons (ACNs) were primary cultured and treated with either vehicle or different doses of D-galactose (D-gal). We studied the effect of D-gal on ACNs by evaluating the hallmarks of aging, including cell proliferation, oxidative stress, mitochondrial function, and neuronal apoptosis. Compared with the control group, cell viability was significantly inhibited in the D-gal-treated group in a dose-dependent manner. The production of reactive oxygen species was strongly increased in the D-gal-treated group. Meanwhile, the level of 8-hydroxy-2'-deoxyguanosine, which is a biomarker of DNA oxidative damage, was even higher in the D-gal-treated group than that in the control group. Conversely, the levels of ATP and mitochondrial membrane potential were notably decreased in the D-gal-treated group contrast to that in the control group. Furthermore, the number of neuronal apoptosis in the D-gal-treated group, compared with that in the control group, was dramatically increased in a dose-dependent approach. Together, our results demonstrate that ACNs treated with D-gal in vitro display senescence characteristics by regulating oxidative stress and apoptosis, indicating accelerated aging model on ACNs are successfully established. And the model provides a promising approach for exploring underlying mechanisms of the ARHL.

LuHui Derivative, A Novel Compound That Inhibits the Fat Mass and Obesity-Associated (FTO), Alleviates the Inflammatory Response and Injury in Hyperlipidemia-Induced Cardiomyopathy

Hyperlipidemia is a major risk factor for metabolic disorders and cardiovascular injury. The excessive deposition of saturated fatty acids in the heart leads to chronic cardiac inflammation, which in turn causes myocardial damage and systolic dysfunction. However, the effective suppression of cardiac inflammation has emerged as a new strategy to reduce the impact of hyperlipidemia on cardiovascular disease. In this study, we identified a novel monomer, known as LuHui Derivative (LHD), which reduced the serum levels of total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-C), and reduced lipid deposition in cardiomyocytes. In addition, LHD treatment improved cardiac function, reduced hyperlipidemia-induced inflammatory infiltration in cardiomyocytes and suppressed the release of interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α). From a mechanistic perspective, cluster of differentiation 36 (CD36), an important cell surface receptor, was identified as a downstream target following the LHD treatment of palmitic acid-induced inflammation in cardiomyocytes. LHD specifically binds the pocket containing the regulatory sites of RNA methylation in the fat mass and obesity-associated (FTO) protein that is responsible for elevated intracellular m⁶A levels. Moreover, the overexpression of the N6-methyladenosine (m⁶A) demethylase FTO markedly increased CD36 expression and suppressed the anti-inflammatory effects of LHD. Conversely, loss-of-function of FTO inhibited palmitic acid-induced cardiac inflammation and altered CD36 expression by diminishing the stability of CD36 mRNA. Overall, our results provide evidence for the crucial role of LHD in fatty acid-induced cardiomyocyte inflammation and present a new strategy for the treatment of hyperlipidemia and its complications.

Ethyl 2-Succinate-Anthraquinone Attenuates Inflammatory Response and Oxidative Stress via Regulating NLRP3 Signaling Pathway

Aloe-emodin widely possesses antibacterial, anti-inflammatory, antioxidant, antiviral, and anti-infectious properties. This study investigated the effect of ethyl 2-succinate-anthraquinone (Luhui derivative, LHD) on inflammation. In vitro, a THP-1 macrophage inflammation model, made by 100 ng/ml phorbol-12-myristate-13-acetate (PMA) and 1 μg/ml LPS for 24 h, was constructed. The LHD group (6.25 μmol/L, 12.5 μmol/L, 25 μmol/L, 50 μmol/L) had no effect on THP-1 cell activity, and the expression of IL-6 mRNA was down-regulated in a concentration-dependent manner, of which the 25 μmol/L group had the best inhibitory effect. The migration of THP-1 macrophages induced by LPS was decreased by the LHD. Moreover, the LHD suppressed ROS fluorescence expression by inhibiting MDA expression and increasing SOD activity. In vivo, we revealed that the LHD, in different doses (6.25 mg/kg, 12.5 mg/kg, 25 mg/kg, 50 mg/kg), has a protective effect on stress physiological responses by assessing the body temperature of mice. Interestingly, acute lung injury (e.g., the structure of the alveoli disappeared and capillaries in the alveolar wall were dilated and congested) and liver damage (e.g., hepatocyte swelling, neutrophil infiltration, and hepatocyte apoptosis) were obviously improved at the same condition. Furthermore, we initially confirmed that the LHD can down-regulate the expression of NLRP3, IL-1β, and caspase-1 proteins, thereby mediating the NLRP3 inflammasome signaling pathway to produce anti-inflammatory effects. In conclusion, our results indicate that the LHD exerts anti-inflammatory activity via regulating the NLRP3 signaling pathway, inhibition of oxidative stress, and THP-1 macrophage migration.

Predictive value of GRACE score combined with BNP and glycosylated hemoglobin for in-hospital cardiovascular events in patients with acute coronary syndrome after percutaneous coronary intervention

Purpose

To investigate the value of Global Registry of Acute Coronary Events (GRACE) score combined with B-type natriuretic peptide (BNP) and glycosylated hemoglobin (HbA1c) in predicting in-hospital major adverse cardiovascular events (MACE) in patients with acute coronary syndrome (ACS) after percutaneous coronary intervention (PCI).

Methods

A total of consecutive 675 patients with acute coronary syndrome (ACS) admitted to our hospital from June 2019 to June 2020, and finally, 319 patients treated with the percutaneous coronary intervenion (PCI) were enrolled. Major adverse cardiovascular events (MACE) during hospitalization included cardiac death, cardiogenic shock, congestive heart failure, recurrent ischemic chest pain and malignant arrhythmia. The area under the curve (AUC) was used to evaluate the predictive value of MACE during hospitalization.

Results

Among 319 patients, during hospitalization, 26 patients (8.15%) experienced the MACE. Compared to that of non-MACE group, there were more patients with previous history of heart failure (P<0.001), lower in-admission systolic and diastolic blood pressure (P all<0.05), and higher heart rate, GRACE score, BNP, and HbA1c levels in the MACE group (P all<0.05). Multivariate logistic regression analysis showed that history of heart failure (OR: 1.498, 95% CI: 1.144–2.249), GRACE score (OR: 1.040, 95% CI: 1.017–1.063), BNP (OR: 1.019, 95% CI: 1.012–1.026) and HbA1C (OR: 1.199, 95% CI: 1.043–1.378) were independent risk factors for MACE in patients with ACS after PCI (P all<0.05). The AUC of GRACE score for predicting MACE in ACS patients after PCI was 0.758, while the AUC of BNP and HbA1C was 0.838 and 0.788, respectively. When GRACE score combined with BNP and HbA1c, the AUC was increased to 0.876, which was significantly higher than the GRACE score alone (Z=4.142, P<0.001).

Conclusion

In this study, we reported for the first time, GRACE score combined with BNP and HbA1c significantly improved the predictive value of in-hospital MACE in ACS patients after PCI compared with traditional GRACE score, which can help clinicians identify high risk patients to improve their prognosis in the clinical practice.

Funding Acknowledgement

Type of funding sources: Public hospital(s). Main funding source(s): Young and middle-aged talents in the XPCC Science and Technology Project (2020CB012); Key Science and Technology Project of Shihezi (2019ZH09) ROC Curve

Urinary metabolomics analysis of the protective effects of Daming capsule on hyperlipidemia rats using ultra-high-performance liquid chromatography coupled to quadrupole time-of-flight mass spectrometry

Hyperlipidemia is recognized as one of the most important risk factors for morbidity and mortality due to cardiovascular diseases. Daming capsule, a Chinese patent medicine, has shown definitive efficacy in patients with hyperlipidemia. In this study, serum biochemistry and histopathology assessment were used to investigate the lipid-lowering effect of Daming capsule. Furthermore, urinary metabolomics based on ultra high performance liquid chromatography with quadrupole time-of-flight mass spectrometry was conducted to identify the urinary biomarkers associated with hyperlipidemia and discover the underlying mechanisms of the antihyperlipidemic action of Daming capsule. After 10 weeks of treatment, Daming capsule significantly lowered serum lipid levels and ameliorated hepatic steatosis induced by a high-fat diet. A total of 33 potential biomarkers associated with hyperlipidemia were identified, among which 26 were robustly restored to normal levels after administration of Daming capsule. Pathway analysis revealed that the lipid-lowering effect of Daming capsule is related to the regulation of multiple metabolic pathways including vitamin B and amino acid metabolism, tricarboxylic acid cycle, and pentose phosphate pathway. Notably, the study demonstrates that metabolomics is a powerful tool to elucidate the multitarget mechanism of traditional Chinese medicines, thereby promoting their research and development.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

Constraints on Cosmic Strings Using Data from the Third Advanced LIGO-Virgo Observing Run

We search for gravitational-wave signals produced by cosmic strings in the Advanced LIGO and Virgo full O3 dataset. Search results are presented for gravitational waves produced by cosmic string loop features such as cusps, kinks, and, for the first time, kink-kink collisions. A template-based search for short-duration transient signals does not yield a detection. We also use the stochastic gravitational-wave background energy density upper limits derived from the O3 data to constrain the cosmic string tension Gμ as a function of the number of kinks, or the number of cusps, for two cosmic string loop distribution models. Additionally, we develop and test a third model that interpolates between these two models. Our results improve upon the previous LIGO-Virgo constraints on Gμ by 1 to 2 orders of magnitude depending on the model that is tested. In particular, for the one-loop distribution model, we set the most competitive constraints to date: Gμ≲4×10^{-15}. In the case of cosmic strings formed at the end of inflation in the context of grand unified theories, these results challenge simple inflationary models.

The use of PacBio SMRT technology to explore the microbial network and fermentation characteristics of woody silage prepared with exogenous carbohydrate additives

AIMS

To effectively use woody plant resources to prepare silage for ruminants, Pacific Biosciences (PacBio) single-molecule real-time (SMRT) sequencing was applied to study the microbial network and fermentation characteristics of paper mulberry (PM) silage prepared with corn meal (CM) and rice bran (RB) as exogenous additives.

METHODS AND RESULTS

PM is rich in nutrients and contains more than 26% crude protein in dry matter. After ensiling, the microbial diversity and abundance in PM, CM and RB decreased due to the anaerobic environment and acidic conditions. The CM-treated PM silage accelerated the conversion of the dominant microbial community from harmful bacteria to lactic acid bacteria and promoted lactic acid fermentation. When RB was used to treat PM silage, Enterobacter and Clostridium species became the main bacterial community during ensiling, leading to butyric acid fermentation and protein decomposition. Compared with RB, CM increased the amount of fermentation substrates, changed the microbial community structure and affected metabolic pathways (global metabolism, carbohydrate metabolism and amino acid metabolism), which improved the flavour and quality of the PM silage.

CONCLUSIONS

The CM addition of improved the fermentation quality of PM silage, with PM + CM being the ideal combination. The SMRT sequencing technology could accurately obtain specific details of the microbial networks and fermentation characteristics. Our results indicate that PM can be used as a potential high-protein silage in animal production.

SIGNIFICANCE AND IMPACT OF THE STUDY

In tropics, the effective use of abundant natural biomass resources such as woody plants to prepare silage for feed preservation can solve the problem of restricting livestock production due to the shortage of feed in the dry season. SMRT sequencing technology was used to accurately analyze the microbial network and fermentation characteristics of woody silage prepared with CM as an exogenous additive to improve the fermentation quality of silage.

Short-chain fatty acids combined with intronic DNA methylation of HIF3A: Potential predictors for diabetic cardiomyopathy

BACKGROUND

Hyperglycemia can induce the heart to enter an oxygen-restricted environment, which results in diabetic cardiomyopathy (DCM). Microbiota-derived short-chain fatty acids (SCFAs) affect O₂ consumption and play crucial roles in modulating metabolic and cardiovascular health. The epigenetic regulation of the hypoxia-inducible factor 3A (HIF3A) gene is implicated in oxidative metabolism in the pathogenesis of diabetes. Identifying the associations between plasma SCFA levels and intronic DNA methylation of HIF3A may reveal useful predictors or provide insights into the disease processes of DCM.

METHODS

In this cross-sectional study, we analyzed plasma SCFA levels, HIF3A expression, and CpG methylation of HIF3A intron 1 in peripheral blood from patients with type 2 diabetes presenting with (n = 92) and without (n = 105) cardiomyopathy.

RESULTS

Plasma butyric acid levels and HIF3A mRNA expression in peripheral blood were decreased in DCM patients, whereas 3 CpGs in HIF3A intron 1 (CpG 6, CpG 7 and CpG 11) were highly methylated in DCM patients. Interestingly, butyric acid levels positively correlated with HIF3A levels, while a negative association was identified between butyric acid levels and the methylation rates of HIF3A intron 1 at CpG 6. Butyric acid levels also correlated with several clinical/echocardiographic factors in DCM patients. Additionally, the combination of plasma butyric acid levels and HIF3A intron 1 methylation at CpG 6 discriminated DCM patients from type2 diabetes mellitus (T2DM) patients.

CONCLUSIONS

The novel associations between plasma butyric acid levels and HIF3A intron 1 methylation at CpG 6 may highlight an underlying mechanism by which the "microbial-myocardial" axis and host-microbe interactions may participate in the pathogenesis of DCM.

Six-Year Change in QT Interval Duration and Risk of Incident Heart Failure - A Secondary Analysis of the Atherosclerosis Risk in Communities Study

BACKGROUND

Few studies have investigated the association between temporal change in QT interval and incident heart failure (HF). The aim of this study is to examine this association in the Atherosclerosis Risk in Communities (ARIC) study.Methods and Results:A secondary analysis was performed for the ARIC study. Overall, 10,274 participants (age 60.0±5.7 years, 45.7% male and 19.5% black) who obtained a 12-lead electrocardiography (ECG) at both Visit 1 (1987-1989) and Visit 3 (1993-1995) in the ARIC study were included. QT interval duration was corrected by using Bazett's formula (QTc). The change in corrected QT interval duration (∆QTc) was calculated by subtracting QTc at Visit 3 from Visit 1. The main outcome measure was incident HF. Multivariable Cox regression models were used to assess the association between ∆QTc and incident HF. During a median follow up of 19.5 years, 1,833 cases (17.8%) of incident HF occurred. ∆QTc was positively associated with incident HF (HR: 1.06, 95% CI 1.03, 1.08, per 10 ms increase, P<0.001; HR 1.22, 95% CI 1.08, 1.36, T3 vs. T1, P=0.002), after adjusting for traditional cardiovascular risk factor, QTc and QRS duration.

CONCLUSIONS

Temporal increases in QTc are independently associated with increased risk of HF.

The association between RGS4 and choline in cardiac fibrosis

Background

Myocardial fibrosis is caused by the adverse and powerful remodeling of the heart secondary to the death of cardiomyocytes after myocardial infarction. Regulators of G protein Signaling (RGS) 4 is involved in cardiac diseases through regulating G protein-coupled receptors (GPCRs).

Methods

Cardiac fibrosis models were established through cardiac fibroblasts (CFs) treatment with transforming growth factor (TGF)-β1 in vitro and mice subjected to myocardial infarction in vivo. The mRNA expression of RGS4, collagen I/III and α-SMA detected by qRT-PCR. Protein level of RGS4, collagen I, CTGF and α-SMA detected by Western blot. The ejection fraction (EF%) and fractional shortening (FS%) of mice were measured by echocardiography. Collagen deposition of mice was tested by Masson staining.

Results

The expression of RGS4 increased in CFs treatment with TGF-β1 and in MI mice. The model of cardiac fibrosis detected by qRT-PCR and Western blot. It was demonstrated that inhibition of RGS4 expression improved cardiac fibrosis by transfection with small interfering RNA in CFs and injection with lentivirus shRNA in mice. The protective effect of choline against cardiac fibrosis was counteracted by overexpression of RGS4 in vitro and in vivo. Moreover, choline inhibited the protein level of TGF-β1, p-Smad2/3, p-p38 and p-ERK1/2 in CFs treated with TGF-β1, which were restored by RGS4 overexpression.

Conclusion

This study demonstrated that RGS4 promoted cardiac fibrosis and attenuated the anti-cardiac fibrosis of choline. RGS4 may weaken anti-cardiac fibrosis of choline through TGF-β1/Smad and MAPK signaling pathways.

Role of the active cycle of breathing technique combined with phonophoresis for the treatment of patients with chronic obstructive pulmonary disease (COPD): study protocol for a preliminary randomized controlled trial

Background

Chronic obstructive pulmonary disease (COPD) is a chronic inflammatory lung disease characterized by coughing, the production of excess sputum, and dyspnea. Patients with excessively thick sputum may have frequent attacks or develop more serious disease. The guidelines recommend airway clearance for patients with excessive sputum who are hospitalized with COPD. The active cycle of breathing technique is the most common non-pharmacological airway clearance technique used by physiotherapists. However, the effectiveness of the technique is not always guaranteed. Active cycle of breathing techniques require the initial dilution of the sputum, usually by inhalation drugs, which may have limited effects. Recent studies have found that phonophoresis decreases inflammation, suggesting the potential of the combined usage of active cycle of breathing techniques and phonophoresis. Therefore, the aim of this study is to explore the effectiveness and safety of combining active cycle of breathing technique and phonophoresis in treating COPD patients.

Methods and analysis

We propose a single-blind randomized controlled trial using 75 hospitalized patients diagnosed with COPD with excessive sputum production. The patients will be divided into three groups. The intervention group will receive active cycle of breathing techniques combined with phonophoresis. The two comparison groups will be treated with active cycle of breathing techniques and phonophoresis, respectively. The program will be implemented daily for 1 week. The primary outcomes will be changes in sputum viscosity and production, lung function, and pulse oximetry. Secondary outcomes include the assessment of COPD and anxiety, measured by the COPD Assessment Test scale and the Anxiety Inventory for Respiratory Disease, respectively; self-satisfaction; the degree of cooperation; and the length of hospital stay. All outcome measures, with the exception of sputum production and additional secondary outcomes, will be assessed at the commencement of the study and after 1 week’s intervention. Analysis of variance will be used to investigate differences between the groups, and a p-value of less than 0.05 (two-tailed) will be considered statistically significant.

Discussion

This study introduces a combination of active cycle of breathing techniques and phonophoresis to explore the impact of these interventions on patients hospitalized with COPD. If this combined intervention is shown to be effective, it may prove to be a better treatment for patients with COPD.

Trial registration

The trial was registered prospectively on the Chinese Clinical Trial Registry on 24 December 2019.ClinicalTrials.gov ChiCTR1900028506. Registered on December 2019.

Multiple roles of Ca2+ in the interaction of ciprofloxacin with activated sludge: Spectroscopic investigations of extracellular polymeric substances

Calcium ion is an important cation influencing the binding of recalcitrant organic contaminants with activated sludge during wastewater treatment process, but there is still unknown about its role in amphoteric fluoroquinolones binding. Binding experiments show that Ca²⁺ markedly inhibited binding of ciprofloxacin (CIP) onto sludge, causing 7-203 times of CIP release. Multi-spectroscopic examinations indicate that tryptophan-like and tyrosine-like proteins in extracellular polymeric substances (EPS) were dominant components for CIP binding by static quenching and forming CIP-proteins complexes. Addition of Ca²⁺ into EPS and CIP binding systems induced increase of association constants (from 0.024-0.064 to 0.027-0.084 L/μmol) and binding constants (from 0.002-0.039 to 0.012-0.107) and decrease of binding sites number (from 0.893-2.007 to 0.721-1.386). Functional groups of EPS and secondary structure of proteins were remarkably changed upon reactions with CIP and Ca²⁺. Calcium ion interacted with EPS and CIP binding system in two distinct ways: Ca²⁺ shielded CO in amide I in EPS for CIP binding, whereas strengthened binding between CIP and functional groups including CO in carboxyl groups in extra-microcolony polymers and OH in extra-cellular polymers by forming ternary complexes. Cation competition for CO in amide I is responsible for Ca²⁺ induced CIP release from the sludge. Results suggest the highly potential release of CIP from high saline wastewater and cation-conditioned sludge which needs further monitoring and evaluation.