Distribution of antibiotic resistance genes and their pathogen hosts in duck farm environments in south-east coastal China

Livestock farms are major reservoirs of antibiotic resistance genes (ARGs) that are discharged into the environment. However, the abundance, diversity, and transmission of ARGs in duck farms and its impact on surrounding environments remain to be further explored. Therefore, the characteristics of ARGs and their bacterial hosts from duck farms and surrounding environment were investigated by using metagenomic sequencing. Eighteen ARG types which consist of 823 subtypes were identified and the majority conferred resistance to multidrug, tetracyclines, aminoglycosides, chloramphenicols, MLS, and sulfonamides. The floR gene was the most abundant subtype, followed by sul1, tetM, sul2, and tetL. ARG abundance in fecal sample was significantly higher than soil and water sample. Our results also lead to a hypothesis that Shandong province have been the most contaminated by ARGs from duck farm compared with other four provinces. PcoA results showed that the composition of ARG subtypes in water and soil samples was similar, but there were significant differences between water and feces samples. However, the composition of ARG subtypes were similar between samples from five provinces. Bacterial hosts of ARG subtypes were taxonomically assigned to eight phyla that were dominated by the Proteobacteria, Firmicutes, Bacteroidetes, and Actinobacteria. In addition, some human bacterial pathogens could be enriched in duck feces, including Enterococcus faecium, Acinetobacter baumannii, and Staphylococcus aureus, and even serve as the carrier of ARGs. The combined results indicate that a comprehensive overview of the diversity and abundance of ARGs, and strong association between ARGs and bacterial community shift proposed, and benefit effective measures to improve safety of antibiotics use in livestock and poultry farming. KEY POINTS: • ARG distribution was widespread in the duck farms and surroundings environment • ARG abundance on the duck farms was significantly higher than in soil and water • Human bacterial pathogens may serve as the vectors for ARGs.

ECMpy 2.0: A Python package for automated construction and analysis of enzyme-constrained models

Genome-scale metabolic models (GEMs) have been widely employed to predict microorganism behaviors. However, GEMs only consider stoichiometric constraints, leading to a linear increase in simulated growth and product yields as substrate uptake rates rise. This divergence from experimental measurements prompted the creation of enzyme-constrained models (ecModels) for various species, successfully enhancing chemical production. Building upon studies that allocate macromolecule resources, we developed a Python-based workflow (ECMpy) that constructs an enzyme-constrained model. This involves directly imposing an enzyme amount constraint in GEM and accounting for protein subunit composition in reactions. However, this procedure demands manual collection of enzyme kinetic parameter information and subunit composition details, making it rather user-unfriendly. In this work, we've enhanced the ECMpy toolbox to version 2.0, broadening its scope to automatically generate ecGEMs for a wider array of organisms. ECMpy 2.0 automates the retrieval of enzyme kinetic parameters and employs machine learning for predicting these parameters, which significantly enhances parameter coverage. Additionally, ECMpy 2.0 introduces common analytical and visualization features for ecModels, rendering computational results more user accessible. Furthermore, ECMpy 2.0 seamlessly integrates three published algorithms that exploit ecModels to uncover potential targets for metabolic engineering. ECMpy 2.0 is available at https://github.com/tibbdc/ECMpy or as a pip package (https://pypi.org/project/ECMpy/).

Omics data analysis reveals the system-level constraint on cellular amino acid composition

Proteins play a pivotal role in coordinating the functions of organisms, essentially governing their traits, as the dynamic arrangement of diverse amino acids leads to a multitude of folded configurations within peptide chains. Despite dynamic changes in amino acid composition of an individual protein (referred to as AAP) and great variance in protein expression levels under different conditions, our study, utilizing transcriptomics data from four model organisms uncovers surprising stability in the overall amino acid composition of the total cellular proteins (referred to as AACell). Although this value may vary between different species, we observed no significant differences among distinct strains of the same species. This indicates that organisms enforce system-level constraints to maintain a consistent AACell, even amid fluctuations in AAP and protein expression. Further exploration of this phenomenon promises insights into the intricate mechanisms orchestrating cellular protein expression and adaptation to varying environmental challenges.

Chitosan oligosaccharide accelerates the dissemination of antibiotic resistance genes through promoting conjugative plasmid transfer

The dissemination of antibiotic resistance genes (ARGs), especially via plasmid-mediated horizontal gene transfer, poses a pervasive threat to global health. Chitosan-oligosaccharide (COS) is extensively utilized in medicine, plant and animal husbandry. However, their impact on microflora implies the potential to exert selective pressure on plasmid transfer. To explore the role of COS in facilitating the dissemination of ARGs via plasmid conjugation, we established in vitro mating models. The addition of COS to conjugation mixtures significantly enhanced the transfer of RP4 plasmid and mcr-1 positive IncX4 plasmid in both intra- and inter-specific. Phenotypic and transcriptome analysis revealed that COS enhanced intercellular contact by neutralizing cell surface charge and increasing cell surface hydrophobicity. Additionally, COS increased membrane permeability by inhibiting the Tol-Pal system, thereby facilitating plasmid conjugative transfer. Furthermore, COS served as the carbon source and was metabolized by E. coli, providing energy for plasmid conjugation through regulating the expression of ATPase and global repressor factor-related genes in RP4 plasmid. Overall, these findings improve our awareness of the potential risks associated with the presence of COS and the spread of bacterial antibiotic resistance, emphasizing the need to establish guidelines for the prudent use of COS and its discharge into the environment.

Prevalence, antibiotic resistance, virulence genes and molecular characteristics of Salmonella isolated from ducks and wild geese in China

Salmonella is a major foodborne pathogen and the cause of significant morbidity and mortality via consumption of contaminated meat and meat-products. The prevalence of Salmonella in ducks and wild geese in China are poorly characterized and these sources represent a potential pool that could be transferred to farm-reared fowl. In this study, we isolated 335 (18.3%) Salmonella from 1830 samples and identified 24 serotypes and most prevalent were Salmonella Indiana, Salmonella Kentucky and Salmonella Typhimurium. Whole genome sequencing revealed the presence of the dominant sequence types ST17, ST198 and ST19 for these three serotypes, respectively. In addition, these isolates were most likely clonally spread across different regions while S. Kentucky also crossed the species barrier. The majority of the Salmonella isolates possessed β-lactam and fluoroquinolone resistance and these were consistent with antibiotic resistance gene profiles. We also identified 8 plasmid replicon types and all isolates possessed virulence genes and the numbers were greatest for S. Enteritidis and S. Typhimurium isolates. This study provides novel insights concerning the epidemiology of Salmonella in ducks and wild geese and provides basic data for public health screening and management.

Dual-ROS Sensitive Moieties Conjugate Inhibits Curcumin Oxidative Degradation for Colitis Precise Therapy

Curcumin, a natural bioactive polyphenol with diverse molecular targets, is well known for its anti-oxidation and anti-inflammatory potential. However, curcumin exhibits low solubility (<1 µg mL-1 ), poor tissue-targeting ability, and rapid oxidative degradation, resulting in poor bioavailability and stability for inflammatory therapy. Here, poly(diselenide-oxalate-curcumin) nanoparticle (SeOC-NP) with dual-reactive oxygen species (ROS) sensitive chemical moieties (diselenide and peroxalate ester bonds) is fabricated by a one-step synthetic strategy. The results confirmed that dual-ROS sensitive chemical moieties endowed SeOC-NP with the ability of targeted delivery of curcumin and significantly suppress oxidative degradation of curcumin for high-efficiency inflammatory therapy. In detail, the degradation amount of curcumin for SeOC is about 4-fold lower than that of free curcumin in an oxidative microenvironment. As a result, SeOC-NP significantly enhanced the antioxidant activity and anti-inflammatory efficacy of curcumin in vitro analysis by scavenging intracellular ROS and suppressing the secretion of nitric oxide and pro-inflammatory cytokines. In mouse colitis models, orally administered SeOC-NP can remarkably alleviate the symptoms of IBD and maintain the homeostasis of gut microbiota. This work provided a simple and effective strategy to fabricate ROS-responsive micellar and enhance the oxidation stability of medicine for precise therapeutic inflammation.

[Role of mitochondrial autophagy and the curative effect of rehmannia glutinosa leaves total glycoside capsules on nucleos(t)ide drug-induced renal injury]

Objective: To study the curative effect of rehmannia glutinosa leaves total glycoside capsules and the role of mitochondrial autophagy on nucleos(t)ide drug-induced renal injury. Methods: Adefovir dipivoxil (ADV) was used to construct a hepatitis B virus (HBV) transgenic mouse model for renal injury. Renal function was measured in each group at one and two weeks of modeling. Mitochondrial autophagy indicators were measured at two weeks of modeling in renal tissue. Transmission electron microscopy was used to detect mitochondrial autophagy phenomena in renal tissue. The model was established for two weeks. Mouse with renal injury were treated with rehmannia glutinosa leaves total glycoside capsules or isotonic saline for eight weeks by intragastric administration. Renal function was measured. Renal tissue morphology was observed. Mitochondrial autophagy indicators were detected in renal tissue. The protective effect of different concentrations of verbascoside (the main active ingredient of rehmannia glutinosa capsule) was observed on HK-2 cell damage induced by ADV. HK-2 cells were divided into control, ADV, and ADV plus verbascoside groups. The effects of verbascoside at different times and concentrations were observed on the HK-2 mitochondrial autophagy indicators. Fifty patients with chronic hepatitis B were collected who presented with renal injury after treatment with nucleos(t)ide analogs. The random number method was used to divide 29 cases into a control group that received conventional treatment. The treatment group of 21 cases was treated with rehmannia glutinosa leaves total glycoside capsules on the basis of the control group. Serum creatinine (Scr) and urinary protein were detected at eight weeks.The χ(2) test or t-test was used for statistical analysis. Results: Compared with the control group, two weeks of modeling in the ADV group induced renal function injury in HBV mice. The expression of autophagy indicators was higher in the renal tissue of the ADV group than that of the control group. Transmission electron microscopy had revealed mitochondrial autophagy in the renal tissue of the ADV group. Compared with the control group, the renal function of HBV mice treated with rehmannia glutinosa leaves total glycoside capsules improved for two months, and the expressions of autophagy indicators were down-regulated.Verbascoside promoted proliferation in ADV-damaged HK-2 cells, and the expression of autophagy indicators was down-regulated compared with the ADV alone group. In 50 patients with renal function injury, the urinary protein improvement was significantly superior in the treatment group than that in the control group, with eighteen and three cases being effective and ineffective in the treatment group and 12 and 17 cases being effective and ineffective in the control group, with a statistically significant difference (χ(2) = 9.975 0, P = 0.001 6). Serum creatinine was decreased in the treatment group compared with the control group, with 11 and 10 cases being effective and ineffective in the treatment group and 12 and 17 cases being effective and ineffective in the control group, with no statistically significant difference (χ(2) = 0.593 5, P = 0.441 1). Conclusion: Rehmannia glutinosa leaves total glycoside capsule can improve the nucleos(t)ide drug-induced renal function injury in chronic hepatitis B, possibly playing a role via inhibiting PINK1/Parkin-mediated mitochondrial autophagy.

Phase I study of peposertib and avelumab with or without palliative radiotherapy in patients with advanced solid tumors

INTRODUCTION

We report results from a phase I, three-part, dose-escalation study of peposertib, a DNA-dependent protein kinase inhibitor, in combination with avelumab, an immune checkpoint inhibitor, with or without radiotherapy in patients with advanced solid tumors.

MATERIALS AND METHODS

Peposertib 100-400 mg twice daily (b.i.d.) or 100-250 mg once daily (q.d.) was administered in combination with avelumab 800 mg every 2 weeks in Part A or avelumab plus radiotherapy (3 Gy/fraction × 10 days) in Part B. Part FE assessed the effect of food on the pharmacokinetics of peposertib plus avelumab. The primary endpoint in Parts A and B was dose-limiting toxicity (DLT). Secondary endpoints were safety, best overall response per RECIST version 1.1, and pharmacokinetics. The recommended phase II dose (RP2D) and maximum tolerated dose (MTD) were determined in Parts A and B.

RESULTS

In Part A, peposertib doses administered were 100 mg (n = 4), 200 mg (n = 11), 250 mg (n = 4), 300 mg (n = 6), and 400 mg (n = 4) b.i.d. Of DLT-evaluable patients, one each had DLT at the 250-mg and 300-mg dose levels and three had DLT at the 400-mg b.i.d. dose level. In Part B, peposertib doses administered were 100 mg (n = 3), 150 mg (n = 3), 200 mg (n = 4), and 250 mg (n = 9) q.d.; no DLT was reported in evaluable patients. Peposertib 200 mg b.i.d. plus avelumab and peposertib 250 mg q.d. plus avelumab and radiotherapy were declared as the RP2D/MTD. No objective responses were observed in Part A or B; one patient had a partial response in Part FE. Peposertib exposure was generally dose proportional.

CONCLUSIONS

Peposertib doses up to 200 mg b.i.d. in combination with avelumab and up to 250 mg q.d. in combination with avelumab and radiotherapy were tolerable in patients with advanced solid tumors; however, antitumor activity was limited.

CLINICALTRIALS

GOV IDENTIFIER

NCT03724890.

The History and Prediction of Prebiotics and Postbiotics: A Patent Analysis

Prebiotics and postbiotics have gained attention as functional food additives due to their substantial influence on the gut microbiome and potential implications for human health on a broader scale. In addition, the number of patents for these additives has also increased, yet their functional classification has been problematic. In this study, we classified 2215 patents granted from 2001 to 2020 by functionality to enable predictions of future development directions. These patents encompassed subjects as diverse as feed supplementation, regulation of intestinal homeostasis, prevention of gastrointestinal ailments, targeted drug administration and augmentation of drug potency. The progression of patents issued during this time frame could be divided into three phases: occasional accounts prior to 2001, a period from 2001 to 2013 during which an average of 42 patents were issued annually, followed by a surge exceeding 140 patents annually after 2013. The latter increase has indicated that pre- and post-biotics have been recognized as biologically relevant. Patent mining therefore can enable forecasts of the future trajectory of these biologics and provide insights to evaluate their advancement. Moreover, this research is the first attempt to generalize and predict the directions of prebiotics and postbiotics using patent information and offers a comprehensive perspective for the potential utilization of prebiotics and postbiotics across a wide variety of fields.

Self-assembly of H2S-responsive nanoprodrugs based on natural rhein and geraniol for targeted therapy against Salmonella Typhimurium

Salmonellosis is a globally extensive food-borne disease, which threatens public health and results in huge economic losses in the world annually. The rising prevalence of antibiotic resistance in Salmonella poses a significant global concern, emphasizing an imperative to identify novel therapeutic agents or methodologies to effectively combat this predicament. In this study, self-assembly hydrogen sulfide (H2S)-responsive nanoprodrugs were fabricated with poly(α-lipoic acid)-polyethylene glycol grafted rhein and geraniol (PPRG), self-assembled into core-shell nanoparticles via electrostatic, hydrophilic and hydrophobic interactions, with hydrophilic exterior and hydrophobic interior. The rhein and geraniol are released from self-assembly nanoprodrugs PPRG in response to Salmonella infection, which is known to produce hydrogen sulfide (H2S). PPRG demonstrated stronger antibacterial activity against Salmonella compared with rhein or geraniol alone in vitro and in vivo. Additionally, PPRG was also able to suppress the inflammation and modulate gut microbiota homeostasis. In conclusion, the as-prepared self-assembly nanoprodrug sheds new light on the design of natural product active ingredients and provides new ideas for exploring targeted therapies for specific Enteropathogens. Graphical  illustration for construction of self-assembly nanoprodrugs PPRG and its antibacterial and anti-inflammatory activities on experimental Salmonella infection in mice.

Genomics analysis of KPC-2 and NDM-5-producing Enterobacteriaceae in migratory birds from Qinghai Lake, China

The study examined the epidemiological characteristics of carbapenem-resistant Enterobacteriaceae (CRE) isolated from migratory birds and surroundings in Qinghai Lake, China. We identified 69 (15.7%) CRE isolates from a total of 439 samples including 29 (6.6%) blaNDM-5 Escherichia coli and 40 (9.1%) blaKPC-2 Klebsiella pneumoniae. WGS analysis indicated that ST746, ST48, ST1011, and ST167 were the primary sequence types (ST) for blaNDM-5 E. coli, while all blaKPC-2 K. pneumoniae were ST11 and harbored numerous antibiotic resistance gene types including blaCTX-M, qnrS, and rmtB. A phylogenetic tree based on core genomes revealed that blaNDM-5 E. coli was highly heterogeneous while the blaKPC-2 K. pneumoniae was highly genetically similar within the group and to human Chinese isolates. IncX3, IncHI2, and IncFIB-HI2 plasmid replicon types were associated with blaNDM-5 spread, while IncFII-R and IncFII plasmids mediated blaKPC-2 spread. We also identified IncFII-R hybrid plasmids most likely formed by IS26-mediated integration of IncFII into IncR plasmid backbones. This also facilitated the persistence of IncFII-R plasmids and antibiotic resistance genes including blaKPC-2. In addition, all of the blaKPC-2 K. pneumoniae isolates harbored a pLVKP-like virulence plasmid carrying a combination of two or more hypervirulence markers that included peg-344, iroB, iucA, rmpA, and rmpA2. This is the first description of ST11 K. pneumoniae that co-carried blaKPC-2- and pLVKP-like virulence plasmids from migratory birds. The blaKPC-2 K. pneumoniae carried by migratory birds displayed high genetic relatedness to human isolates highlighting a high risk of transmission of these K. pneumoniae. KEY POINTS: • Multidrug resistance plasmids (blaKPC-2, bla436NDM-5, bla CTX-M, qnrS, and rmtB). • Co-occurrence of plasmid-mediated resistance and virulence genes. • High similarity between migratory bird genomes and humans.

Exposure to salinomycin dysregulates interplay between mitophagy and oxidative response to damage the porcine jejunal cells

Salinomycin (SAL) has caused widespread pollution as a feed additive and growth promoter in livestock such as pigs, exerting a negative impact on public health. The toxicity mechanism of SAL has been widely studied in chickens, but the underlying mechanisms of SAL-induced toxicity to pigs and the ecosystem remain undefined. In this study, we explored the potential damage of SAL in IPEC-J2 cells to identify the effects of excessive SAL on the interplay between mitophagy and oxidative stress. The results showed that a concentration-dependent response was observed for SAL in altering cellular morphology and inducing cell death in IPEC-J2 cells, including the induction of cell cycle arrest and lactic dehydrogenase (LDH) release. Meanwhile, we found that excessive SAL led to oxidative damage by activating the Nrf2/Keap1/HO-1 pathway, accompanied by reactive oxygen species (ROS) elevation and the reduction of antioxidant enzyme activity. We also found that PINK1/Parkin-dependent mitophagy was activated by SAL exposure, particularly with mitochondrial membrane potential reduction. Interestingly, SAL-induced oxidative damages were prevented after the autophagy inhibitor 3-methyladenine (3-MA) treatment, and mitophagy was alleviated following ROS scavenger (N-acetylcysteine, NAC) treatment. Overall, our findings showed that SAL stimulated oxidative stress and mitophagy in IPEC-J2 cells resulting in cellular injury, and there was a strong connection between SAL-induced oxidative stress and mitophagy. Targeting ROS/PINK1/Parkin-dependent mitophagy and oxidative stress could be a novel protective mechanism in SAL-induced cell damage.

Genome sequencing and metabolic network reconstruction of a novel sulfur-oxidizing bacterium Acidithiobacillus Ameehan

Sulfur-oxidizing bacteria play a crucial role in various processes, including mine bioleaching, biodesulfurization, and treatment of sulfur-containing wastewater. Nevertheless, the pathway involved in sulfur oxidation is highly intricate, making it complete comprehension a formidable and protracted undertaking. The mechanisms of sulfur oxidation within the Acidithiobacillus genus, along with the process of energy production, remain areas that necessitate further research and elucidation. In this study, a novel strain of sulfur-oxidizing bacterium, Acidithiobacillus Ameehan, was isolated. Several physiological characteristics of the strain Ameehan were verified and its complete genome sequence was presented in the study. Besides, the first genome-scale metabolic network model (AMEE_WP1377) was reconstructed for Acidithiobacillus Ameehan to gain a comprehensive understanding of the metabolic capacity of the strain.The characteristics of Acidithiobacillus Ameehan included morphological size and an optimal growth temperature range of 37-45°C, as well as an optimal growth pH range of pH 2.0-8.0. The microbe was found to be capable of growth when sulfur and K2O6S4 were supplied as the energy source and electron donor for CO2 fixation. Conversely, it could not utilize Na2S2O3, FeS2, and FeSO4·7H2O as the energy source or electron donor for CO2 fixation, nor could it grow using glucose or yeast extract as a carbon source. Genome annotation revealed that the strain Ameehan possessed a series of sulfur oxidizing genes that enabled it to oxidize elemental sulfur or various reduced inorganic sulfur compounds (RISCs). In addition, the bacterium also possessed carbon fixing genes involved in the incomplete Calvin-Benson-Bassham (CBB) cycle. However, the bacterium lacked the ability to oxidize iron and fix nitrogen. By implementing a constraint-based flux analysis to predict cellular growth in the presence of 71 carbon sources, 88.7% agreement with experimental Biolog data was observed. Five sulfur oxidation pathways were discovered through model simulations. The optimal sulfur oxidation pathway had the highest ATP production rate of 14.81 mmol/gDW/h, NADH/NADPH production rate of 5.76 mmol/gDW/h, consumed 1.575 mmol/gDW/h of CO2, and 1.5 mmol/gDW/h of sulfur. Our findings provide a comprehensive outlook on the most effective cellular metabolic pathways implicated in sulfur oxidation within Acidithiobacillus Ameehan. It suggests that the OMP (outer-membrane proteins) and SQR enzymes (sulfide: quinone oxidoreductase) have a significant impact on the energy production efficiency of sulfur oxidation, which could have potential biotechnological applications.

Expression of ICAM-1 and E-selectin in different metabolic obesity phenotypes: discrepancy for endothelial dysfunction

OBJECTIVES

Endothelial dysfunction, the earliest vascular alteration, is a consequence of metabolic disorders associated with obesity. However, it is still unclear whether a proportion of obese individuals without metabolic alterations associated with obesity, defined as "metabolically healthy obesity (MHO)", exhibit better endothelial function. We therefore aimed to investigate the association of different metabolic obesity phenotypes with endothelial dysfunction.

METHODS

The obese participants without clinical cardiovascular disease from the MESA (Multi-Ethnic Study of Atherosclerosis) were allocated to the different metabolic obesity phenotypes based on their metabolic status, including MHO and metabolically unhealthy obesity (MUO). Associations of metabolic obesity phenotypes with the biomarkers of endothelial dysfunction, including soluble intercellular adhesion molecule-1 (sICAM-1) and soluble E-selectin (sE-selectin), were evaluated using multiple linear regression models.

RESULTS

Plasma levels of sICAM-1 and sE-selectin were respectively measured in 2371 and 968 participants. Compared to the non-obese participants, those with MUO were associated with higher concentrations of sICAM-1 (β 22.04, 95% CI 14.33-29.75, P < 0.001) and sE-selectin (β 9.87, 95% CI 6.00-13.75, P < 0.001) after adjusting for confounders. However, no differences were found for the concentrations of sICAM-1 (β 0.70, 95% CI - 8.91 to 10.32, P = 0.886) and sE-selectin (β 3.69, 95% CI - 1.13 to 8.51, P = 0.133) in the participants with MHO compared to the non-obese participants.

CONCLUSIONS

Individuals with MUO were associated with elevated biomarkers of endothelial dysfunction, but the association with endothelial dysfunction was not found in those with MHO, indicating that the individuals with MHO might exhibit better endothelial function.

Effectiveness of Bladder Filling Control during Online MR-Guided Adaptive Radiotherapy for Rectum Cancer

PURPOSE/OBJECTIVE(S)

MR-guided adaptive radiotherapy (MRgART) treatment sessions at MR-Linac are time-consuming and changes in bladder filling during the session can impact the treatment dosimetry. In this work, we present the procedure implemented in the clinical workflow to stabilize bladder filling during the MR based adaptive radiotherapy sessions and evaluate its effectiveness and the resulting dosimetric impact on the adaptive plan.

MATERIALS/METHODS

Twenty-five rectum cancer patients treated at 1.5T MR-Linac with a short course radiotherapy (25 Gy in 5 fractions of 5 Gy each) were included in this retrospective study. Patients were treated with the adapt-to-shape workflow consisting of a plan adaptation based on the MRI acquired in each session and optimized on the corresponding MR-based synthetic CT. Considering the significant interval time between the acquisition of the first daily MRI used for plan adaptation, and the beam delivery, a bladder catheter was used to stabilize the bladder filling; the procedure consists of emptying the bladder and refilling it with a well-known amount of physiological solution before each MRI acquisition. Two MRIs were acquired at each session: the first was used for plan adaptation and the second was acquired while approving the adapted plan, to be rigidly registered with the first to ensure the appropriateness of the isodoses on the ongoing delivery treatment. A total of 125 sessions and 250 MRI images and bladder contours were analyzed; for each fraction, the time interval between the first and second MRI and the corresponding bladder volumes were recorded; the consistency of bladder volumes and shapes along each online session was assessed with the dice similarity index (DSC) and Hausdorff distance (HD); the impact on plan dosimetry was evaluated by comparing target and bladder DVH cut off points of the plan on the two different MRI datasets.

RESULTS

The time interval between the first and second MRI, averaged over the 125 sessions is 39.0 min, range (18.6-75.8) min. The changes in bladder volumes, DSC index, HD, and the differences between the bladder and target DVH cut-off points are shown in the table below. The DSC and HD are comparable to inter-observer variability in manual contour segmentation, with an average DSC of 0.91 and average HD of 2.13 mm; the average differences in bladder and target dosimetry remain under 0.63% and 0.10%, respectively.

CONCLUSION

The use of a procedure in the clinical workflow of MRgART to stabilize the bladder filling throughout the online session may be helpful to guarantee the accuracy of the ongoing delivered treatment.

Study on the Clinical Use of a Respiratory Navigator Combined with Breath-Hold for MRI- Guided Liver SBRT

PURPOSE/OBJECTIVE(S)

Respiratory movement strongly affects the accuracy of stereotactic body radiation therapy (SBRT) of liver malignancies treated without the use of a respiratory gating system. This study investigates the feasibility and advantages of using a respiratory navigator-guided combined with patient breath-hold for liver SBRT in an adaptive magnetic-resonance guided workflow.

MATERIALS/METHODS

Clinical datasets of 10 liver cancer patients treated with 1.5T MR-Linac with respiratory navigator-guided SBRT combined with patient breath-hold were retrospectively analyzed. All patients underwent simulation CT with and without contrast, and 4D-CT and 3D-T2w MRI without contrast. Patients received a prescription dose ranging from 36 to 50 Gy in 5 to 8 fractions and followed the adapt to shape (ATS) workflow including contours adjustment and a subsequent MR-based synthetic CT (sCT) calculation on the online MRI acquired. The reference treatment plan was optimized on the expiratory phase of the 4D-CT, and during the online session the contours and the adapted plans were performed using the 3D-T2w navigator MRI of the patient's end-expiratory signal; 2D-T2w real-time monitoring MRI was also used as support for the contour's definition. The radiation therapist instructed the patients to hold their breath at the end of the breathing cycle for the time of the beam on. A total of 59 fractions were analyzed. For each fraction the dosimetric parameters of the target and normal liver of the adaptive and reference plans were compared; particularly the volume, the conformity index (CI) and gradient index (GI) for the target, and V5, V10 and Dmean for the normal liver. T-student statistical analysis was performed; a p-value less than 0.05 was considered statistically significant.

RESULTS

In the free breathing state, the 3D-T2w navigator MRI images enable a clear visualization of the tumor and its boundaries. The average target CI of the adaptive and reference plans is not significantly different (p = 0.448), while the GI is significantly higher (p = 0.043). Normal liver V10 and Dmean are lower and V5 is slightly increased, but without statistical differences. The mean values and standard deviation of the dosimetric parameters of the reference and adapted plans are shown in the Table below.

CONCLUSION

The use of a respiratory navigator combined with the breath-hold for MRI- guided liver SBRT allows clear visualization of the tumor, ensures the accuracy of the delivered dose and may be considered an alternative when the respiratory gating system is not available during MRgART sessions.

Study on Lattice Radiotherapy Treatments (LRT) for Head and Neck Bulky Tumors

PURPOSE/OBJECTIVE(S)

Lattice radiotherapy (LRT) exploits various effects of radiation, such as the bystander effect and the abscopal effect, and consists on the administration of high dose fraction in small areas with large tumor masses, helping to solve the problem of treating bulky disease, especially if it is located in a critical anatomical area. The optimization of LRT treatment plans is challenging due to the difficulty to generate spots of high dose within the tumor with consequent high gradient. This study compares the plan dosimetry and delivery time of two delivery techniques VMAT and CyberKnife for LRT treatments of bulky head and neck lesions.

MATERIALS/METHODS

Six patients with giant head and neck tumors who received LRT at our institution were included in this study. Target and OARs were contoured following international guidelines; to allow easy identification of the desired high gradient zones, an artificial geometrical lattice structure with spherical vertices was arranged inside the target volume (GTV), and the vertices of the lattice representing the high dose boost volumes (GTVboost) were delineated. The GTVboost and GTV were prescribed to receive 12 Gy and 3 Gy, respectively in a single fraction. Separate VMAT and CyberKnife LRT plans were optimized for each patient with lattice vertex of 0.5 diameter and center-to-center distances of 1.5 cm (LRT1.5) and 3 cm (LRT3). The dose heterogeneity was measured as the peak-to-valley dose ratio (PVDR), with the traditional definition being replaced by the D10/D90 ratio, where D10 and D90 represent the doses covering 10% and 90% of the GTV, respectively. For each plan generated, the treatment delivery time, the monitor units (MU), and the PVDR were assessed. Pre-treatment plan verifications were performed with ArcCheck array and Gafchromics film for VMAT and CyberKnife, respectively, using gamma analysis criteria of 3%-3mm.

RESULTS

The mean PVDR obtained for VMAT LRT plans were 2.0 and 2.6 for LRT1.5 and LRT3, respectively, and 3.2 and 4.7, respectively for CyberKnife LRT plans. For each pre-treatment plan dose verification, the gamma passing rate (GPR) was higher than 95.0 %; CyberKnife delivery time and MU were more than 10 times higher than that of VMAT, nevertheless, VMAT had a lower PVDR. The detailed results are shown in the table below.

CONCLUSION

CyberKnife LRT has a strong ability to place the peak dose within the target, generating a higher peak-to-valley dose ratio, however its use is partially invalidated by the long beam delivery times and the resulting high MU number; the use of the VMAT LRT technique allows clinically adequate dosimetry with acceptable delivery times.

[A control study of steroid withdrawal protection strategy after kidney transplantation in children]

Objective: To study the influence of steroid withdrawal protection strategy on height growth in pediatric patients after kidney transplantation. Methods: The prospective cohort study enrolled 40 stage 5 chronic kidney disease children receiving kidney transplantation from July 2017 to September 2022 at Guangzhou Women and Children's Medical Center. Based on the primary preoperative disease, patients with immune abnormality-associated glomerular diseases or unknown causes were assigned to the steroid maintenance group, in which patients received steroid tapering within 3 months after surgery to a maintenance dose of 2.5 to 5.0 mg/d. While patients with hereditary kidney disease or congenital urinary malformations were assigned to the steroid withdrawal group, in which patients had steroids tapered off within 3 months. The characteristics of height catch-up growth and clinical data were compared between the 2 groups at baseline, 6, 12, 18 and 24 months after kidney transplantation. T-test, repeated measurement of variance analysis, Mann-Whitney U test, and Fisher exact test were used for the comparison between the 2 groups. Results: Among the 40 children, 17 were males, 23 were females, 25 were in the steroid withdraw group ((7.8±2.8) years old when receiving kidney transplantation) and 15 cases were in the steroid maintenance group ((7.6±3.5) years old when receiving kidney transplantation). The study population was followed up for (26±12) months. The total dose per unit body weight of steroids in the steroid withdrawal group was lower than that in the steroid maintenance group ((0.13±0.06) vs. (0.36±0.19) mg/(kg·d), t=5.83, P<0.001). The height catch-up rate (ΔHtSDS) in the first year after kidney transplantation in the steroid withdraw and steroid maintenance groups was 1.0 (0.7, 1.4) and 0.4 (0.1, 1.0), respectively; in the second year, the ΔHtSDS in the steroid withdraw group was significantly higher than that in the steroid maintenance group (1.1 (0.2, 1.7) vs. 0.3 (0, 0.8), U=28.00, P=0.039). The HtSDS in the steroid withdrawal group at the five follow-up time points was -2.5±0.8, -2.0±0.8, -1.5±0.8, -1.3±0.9 and -0.5±0.3, respectively, while in the steroid maintenance was -2.4±1.3, -2.2±1.1, -2.0±1.0, -1.8±1.0 and -1.6±1.0, respectively. There were statistically significant differences in HtSDS at different follow-up time points in both 2 groups (F=19.81, P<0.01), but no statistical differences in overall impact between the 2 groups (F=1.13, P=0.204). The steroid treatment was interaction with the increase of follow-up time (F=3.62, P=0.009). At the 24th month after transplantation, the HtSDS in the steroid withdrawal group was significantly higher than that in the steroid maintenance group (P=0.047). Six patients in the steroid withdrawal group experienced antibody-mediated immune rejection (AMR), while 3 did in the steroid maintenance group. Moreover, there was no significant difference in AMR between the two groups (χ2=0.06, P=0.814). Conclusion: The steroid withdrawal protection strategy favors the height catch-up growth in pediatric patients after kidney transplantation and does not increase the risk of postoperative antibody-mediated immune rejection.

CpxA/R-Controlled Nitroreductase Expression as Target for Combinatorial Therapy against Uropathogens by Promoting Reactive Oxygen Species Generation

The antibiotic resistances emerged in uropathogens lead to accumulative treatment failure and recurrent episodes of urinary tract infection (UTI), necessitating more innovative therapeutics to curb UTI before systematic infection. In the current study, the combination of amikacin and nitrofurantoin is found to synergistically eradicate Gram-negative uropathogens in vitro and in vivo. The mechanistic analysis demonstrates that the amikacin, as an aminoglycoside, induced bacterial envelope stress by introducing mistranslated proteins, thereby constitutively activating the cpxA/R two-component system (Cpx signaling). The activation of Cpx signaling stimulates the expression of bacterial major nitroreductases (nfsA/nfsB) through soxS/marA regulons. As a result, the CpxA/R-dependent nitroreductases overexpression generates considerable quantity of lethal reactive intermediates via nitroreduction and promotes the prodrug activation of nitrofurantoin. As such, these actions together disrupt the bacterial cellular redox balance with excessively-produced reactive oxygen species (ROS) as "Domino effect", accelerating the clearance of uropathogens. Although aminoglycosides are used as proof-of-principle to elucidate the mechanism, the synergy between nitrofurantoin is generally applicable to other Cpx stimuli. To summarize, this study highlights the potential of aminoglycoside-nitrofurantoin combination to replenish the arsenal against recurrent Gram-negative uropathogens and shed light on the Cpx signaling-controlled nitroreductase as a potential target to manipulate the antibiotic susceptibility.

TET-Yeasate: An engineered yeast whole-cell lysate-based approach for high performance tetracycline degradation

The widespread of tetracycline (TC) residues in anthropogenic and natural environments pose an immediate threat to public health. Herein, we established the TET-Yeasate, an approach based on whole-cell lysate of engineered yeast, to mitigate the TC contamination in environment. The TET-Yeasate is defined as the biological matrix of whole cell lysate from engineered yeast that containing TC-degradative components (Tet(X), NADPH, Mg2+) and protective macromolecules. The TET-Yeasate was able to efficiently eliminate TC residues in tap water (98.8%), lake water (77.6%), livestock sewage (87.3%) and pharmaceutical wastewater (35.3%) without necessity for exogenous addition of expensive cofactors. The TET-Yeasate was further developed into lyophilized form for ease of storage and delivery. The TET-Yeasate in lyophilized form efficiently removed up to 74.6% TC residue within 0.25 h. In addition, the lyophilization confers promising resilience to TET-Yeasate against adverse temperatures and pH by maintaining degradation efficacy of 85.69%-97.83%. The stability test demonstrated that the biomacromolecules in lysate served as natural protectants that exerted extensive protection on TET-Yeasate during the 14-day storage at various conditions. In addition, 5 potential degradation pathways were elaborated based on the intermediate products. Finally, the analysis indicated that TET-Yeasate enjoyed desirable bio- and eco-safety without introduction of hazardous intermediates and spread of resistance genes. To summary, the TET-Yeasate based on whole cell lysate of engineered yeast provides a cost-effective and safe alternative to efficiently remove TC residues in environment, highlighting the great potential of such whole-cell based methods in environmental decontamination.

Designing gene manipulation schedules for high throughput parallel construction of objective strains

Recent advances in biofoundries have enabled the construction of a large quantity of strains in parallel, accelerating the design-build-test-learn (DBTL) cycles for strain development. However, the construction of a large number of strains by iterative gene manipulation is still time-consuming and costly, posing a challenge for the development of commercial strains. Common gene manipulations among different objective strains open up the possibility of reducing cost and time for strain construction in biofoundries by optimizing genetic manipulation schedules. A method is introduced consisting of two complementary algorithms for designing optimal parent-children manipulation schedules for strain construction: greedy search of common ancestor strains (GSCAS) and minimizing total manipulations (MTM). By reusing common ancestor strains, the number of strains to be constructed can be effectively reduced, resulting in a tree-like structure of descendants instead of linear lineages for each strain. The GSCAS algorithm can quickly find common ancestor strains and clusters them together based on their genetic makeup, and the MTM algorithm subsequently minimize the genetic manipulations required, resulting in a further reduction in the total number of genetic manipulations. The effectiveness of our method is demonstrated through a case study of 94 target strains, where GSCAS reduces an average of 36% of the total gene manipulations, and MTM reduces an additional 10%. The performance of both algorithms is robust among case studies with different average occurrences of gene manipulations across objective strains. Our method potentially improves cost efficiency and accelerate the development of commercial strains significantly. The implementation of the methods can be freely accessed via https://gscas-mtm.biodesign.ac.cn/.

The transmission of hepatitis B virus (HBV) infection from mother-to-infant (MTI) and the susceptibility of offspring to hepatitis B under intrauterine exposure to HBsAg

OBJECTIVE

Hepatitis B virus (HBV) causes long-term injury to the liver in patients with chronic hepatitis B. It was reported that nearly half of this disease's cases now result from mother-to-infant (MTI) transmission. Therefore, intervention during this period of transmission of HBV could effectively prevent HBV infection in infants.

MATERIALS AND METHODS

This study employed bioinformatics methods to analyze the datasets of MTI hepatitis B transmission obtained from the Gene Expression Omnibus (GEO) database. Through this analysis, we extracted valuable information to identify genes exhibiting differential expression and uncover the associated signal pathways. Ultimately, our investigations into alterations in immune function shed light on the underlying mechanisms of MTI HBV transmission.

RESULTS

There were 593 genes that were significantly differentially expressed (512 up-regulated genes and 81 down-regulated genes) in the offspring CD8+T cells with Hepatitis B surface antigen (HBsAg) intrauterine exposure. The pathways enriched for differentially expressed genes have been revealed. Furthermore, we performed a correlation analysis between differentially expressed genes and maternal hepatitis B inheritance via the weighted gene co-expression network analysis (WGCNA) and eventually found a high correlation between the cyan module and the shape. Among them, there were 166 genes in the cyan module, which were mainly enriched in the phosphatidylinositol signaling system, glycerolipid metabolism, and other types of O-Glycan biosynthesis.

CONCLUSIONS

Therefore, we speculated that these signaling pathways and the genes within may be closely related to hepatitis B susceptibility and maternal hepatitis B inheritance. In this study, we showed that differentially expressed genes and signaling pathways may be valuable in preventing MTI transmission of HBV.

[Prevalence of parasitic infections in human stool samples from a hospital in Chenzhou City of Hunan Province]

OBJECTIVE

To investigate the prevalence of parasitic infections in human stool samples from a hospital in Chenzhou City, Hunan Province, so as to provide insights into the management of intestinal parasitic diseases.

METHODS

Stool samples were collected from patients admitted to a hospital in Chenzhou City from September 2020 to March 2021, subjected to physiological saline smearing and microscopy for detection of intestinal parasites. The prevalence of parasitic infections and the species of parasites were descriptively analyzed.

RESULTS

The overall prevalence of intestinal parasitic infections was 1.61% in the 10 728 stool samples, and there were 3 samples with mixed infections of two parasite species. A total of seven parasite species were identified, including Blastocystis hominis (162 cases, 1.55%), Giardia lamblia (5 cases, 0.05%), Dientamoeba fragilis (5 cases, 0.05%), Endolimax nana (one case, 0.01%), Iodamoeba bütschlii (one case, 0.01%), Strongyloides stercoralis (one case, 0.01%) and Trichomonas hominis (one case, 0.01%). The prevalence of intestinal parasitic infection was significantly higher among women than in men (2.14% vs. 1.25%; χ² = 13.01, P < 0.01), and a high prevalence rate was seen among patients at ages of 20 to 30 years (2.99%) and 80 years and older (2.86%); however, no age-specific prevalence of intestinal parasitic infection was detected (χ² = 12.45, P > 0.05).

CONCLUSIONS

The overall prevalence of intestinal parasitic infection was low among patients admitted to a hospital in Chenzhou City, and gender-specific prevalence was found. Food-borne and opportunistic parasites were predominant intestinal parasites, including B. hominis, G. lamblia and D. fragilis.

Enzyme Commission Number Prediction and Benchmarking with Hierarchical Dual-core Multitask Learning Framework

Enzyme commission (EC) numbers, which associate a protein sequence with the biochemical reactions it catalyzes, are essential for the accurate understanding of enzyme functions and cellular metabolism. Many ab initio computational approaches were proposed to predict EC numbers for given input protein sequences. However, the prediction performance (accuracy, recall, and precision), usability, and efficiency of existing methods decreased seriously when dealing with recently discovered proteins, thus still having much room to be improved. Here, we report HDMLF, a hierarchical dual-core multitask learning framework for accurately predicting EC numbers based on novel deep learning techniques. HDMLF is composed of an embedding core and a learning core; the embedding core adopts the latest protein language model for protein sequence embedding, and the learning core conducts the EC number prediction. Specifically, HDMLF is designed on the basis of a gated recurrent unit framework to perform EC number prediction in the multi-objective hierarchy, multitasking manner. Additionally, we introduced an attention layer to optimize the EC prediction and employed a greedy strategy to integrate and fine-tune the final model. Comparative analyses against 4 representative methods demonstrate that HDMLF stably delivers the highest performance, which improves accuracy and F1 score by 60% and 40% over the state of the art, respectively. An additional case study of tyrB predicted to compensate for the loss of aspartate aminotransferase aspC, as reported in a previous experimental study, shows that our model can also be used to uncover the enzyme promiscuity. Finally, we established a web platform, namely, ECRECer (https://ecrecer.biodesign.ac.cn), using an entirely could-based serverless architecture and provided an offline bundle to improve usability.

Insight into the phylogeny and metabolic divergence of Monascus species (M. pilosus, M. ruber, and M. purpureus) at the genome level

Background

Species of the genus Monascus are economically important and widely used in the production of food colorants and monacolin K. However, they have also been known to produce the mycotoxin citrinin. Currently, taxonomic knowledge of this species at the genome level is insufficient.

Methods

This study presents genomic similarity analyses through the analysis of the average nucleic acid identity of the genomic sequence and the whole genome alignment. Subsequently, the study constructed a pangenome of Monascus by reannotating all the genomes and identifying a total of 9,539 orthologous gene families. Two phylogenetic trees were constructed based on 4,589 single copy orthologous protein sequences and all the 5,565 orthologous proteins, respectively. In addition, carbohydrate active enzymes, secretome, allergic proteins, as well as secondary metabolite gene clusters were compared among the included 15 Monascus strains.

Results

The results clearly revealed a high homology between M. pilosus and M. ruber, and their distant relationship with M. purpureus. Accordingly, all the included 15 Monascus strains should be classified into two distinctly evolutionary clades, namely the M. purpureus clade and the M. pilosus-M. ruber clade. Moreover, gene ontology enrichment showed that the M. pilosus-M. ruber clade had more orthologous genes involved with environmental adaptation than the M. purpureus clade. Compared to Aspergillus oryzae, all the Monascus species had a substantial gene loss of carbohydrate active enzymes. Potential allergenic and fungal virulence factor proteins were also found in the secretome of Monascus. Furthermore, this study identified the pigment synthesis gene clusters present in all included genomes, but with multiple nonessential genes inserted in the gene cluster of M. pilosus and M. ruber compared to M. purpureus. The citrinin gene cluster was found to be intact and highly conserved only among M. purpureus genomes. The monacolin K gene cluster was found only in the genomes of M. pilosus and M. ruber, but the sequence was more conserved in M. ruber.

Conclusion

This study provides a paradigm for phylogenetic analysis of the genus Monascus, and it is believed that this report will lead to a better understanding of these food microorganisms in terms of classification, metabolic differentiation, and safety.

CAVE: a cloud-based platform for analysis and visualization of metabolic pathways

Flux balance analysis (FBA) is an important method for calculating optimal pathways to produce industrially important chemicals in genome-scale metabolic models (GEMs). However, for biologists, the requirement of coding skills poses a significant obstacle to using FBA for pathway analysis and engineering target identification. Additionally, a time-consuming manual drawing process is often needed to illustrate the mass flow in an FBA-calculated pathway, making it challenging to detect errors or discover interesting metabolic features. To solve this problem, we developed CAVE, a cloud-based platform for the integrated calculation, visualization, examination and correction of metabolic pathways. CAVE can analyze and visualize pathways for over 100 published GEMs or user-uploaded GEMs, allowing for quicker examination and identification of special metabolic features in a particular GEM. Additionally, CAVE offers model modification functions, such as gene/reaction removal or addition, making it easy for users to correct errors found in pathway analysis and obtain more reliable pathways. With a focus on the design and analysis of optimal pathways for biochemicals, CAVE complements existing visualization tools based on manually drawn global maps and can be applied to a broader range of organisms for rational metabolic engineering. CAVE is available at https://cave.biodesign.ac.cn/.

Functional metagenomics reveals wildlife as natural reservoirs of novel β-lactamases

The antibiotic resistances in bacteria are believed to rapidly evolve over time in the anthropogenic environments which enriched with selection pressures. However, the knowledge regarding the development of antibiotic resistance in wildlife and their habitats is scarce. It is, therefore, of great interest and significance to unveil the yet-unknown antibiotic resistances in wildlife in accordance with One Health concept. To this end, we analyzed the samples taken from wildlife and surrounding environments using a functional metagenomics approach. By functional screening in combination with Illumina sequencing, a total of 32 candidate genes which encoding putative novel β-lactamase were identified. These putative β-lactamase were taxonomically assigned into bacteria of 23 genera from 7 phyla, where Proteobacteria, Actinobacteria and Firmicutes were dominant. The following functional assessment demonstrated that 4 novel β-lactamases, namely bla_SSA, bla_SSB1, bla_SSB2 and bla_SSD, were functionally active to confer the phenotypical resistance to bacteria by increasing MICs up to 128-fold. Further analysis indicated that the novel β-lactamases identified in the current study were able to hydrolyze a broad spectrum of β-lactams including cephalosporins, and they were genetically unique comparing with known β-lactamases. The plausible transmission of some novel β-lactamase genes was supported by our results as the same gene was detected in different samples from different sites. This study shed the light on the active role of wildlife and associated environments as natural reservoirs of novel β-lactamases, implying that the antibiotic resistances might evolve in absence of selection pressure and threaten public health once spread into clinically important pathogens.

Occupational exposure in swine farm defines human skin and nasal microbiota

Anthropogenic environments take an active part in shaping the human microbiome. Herein, we studied skin and nasal microbiota dynamics in response to the exposure in confined and controlled swine farms to decipher the impact of occupational exposure on microbiome formation. The microbiota of volunteers was longitudinally profiled in a 9-months survey, in which the volunteers underwent occupational exposure during 3-month internships in swine farms. By high-throughput sequencing, we showed that occupational exposure compositionally and functionally reshaped the volunteers’ skin and nasal microbiota. The exposure in farm A reduced the microbial diversity of skin and nasal microbiota, whereas the microbiota of skin and nose increased after exposure in farm B. The exposure in different farms resulted in compositionally different microbial patterns, as the abundance of Actinobacteria sharply increased at expense of Firmicutes after exposure in farm A, yet Proteobacteria became the most predominant in the volunteers in farm B. The remodeled microbiota composition due to exposure in farm A appeared to stall and persist, whereas the microbiota of volunteers in farm B showed better resilience to revert to the pre-exposure state within 9 months after the exposure. Several metabolic pathways, for example, the styrene, aminobenzoate, and N-glycan biosynthesis, were significantly altered through our PICRUSt analysis, and notably, the function of beta-lactam resistance was predicted to enrich after exposure in farm A yet decrease in farm B. We proposed that the differently modified microbiota patterns might be coordinated by microbial and non-microbial factors in different swine farms, which were always environment-specific. This study highlights the active role of occupational exposure in defining the skin and nasal microbiota and sheds light on the dynamics of microbial patterns in response to environmental conversion.

Effect of pulmonary function on bone mineral density in the United States: results from the NHANES 2007-2010 study

The relationship between pulmonary function (PF) and bone mineral density (BMD) remains controversial. In the US population, we found a positive association between PF and BMD. Mixed variables such as age, gender, and race may influence this association.

INTRODUCTION

Based on the data from the National Health and Nutrition Examination Survey (NHANES) from 2007 to 2010, this study explored whether there is a correlation between PF (1st second forceful expiratory volume as a percentage of expected value (FEV1(% predicted)), (one-second rate (FEV1/FVC)), and bone mineral density.

METHODS

We evaluated the relationship between PF and BMD in 6327 NHANES subjects (mean age 44.51 ± 15.64 years) from 2007 to 2010. The bone mineral density of the whole femur was measured by dual-energy X-ray absorptiometry (DXA). After adjusting for a wide range of confounders, we examined the relationship between PF and total femur BMD using a multiple linear regression model.

RESULTS

Correction of race, age, alcohol consumption, body mass index (BMI), height, poor income ratio (PIR), total protein, serum calcium, serum uric acid, cholesterol, serum phosphorus, blood urea nitrogen, FEV1(% predicted), and femur BMD were positively correlated (β = 0.032, 95% CI: 0.010-0.054, P = 0.004). FEV1/FVC was positively correlated with spine BMD (β = 0.275 95%CI: 0.102-0.448, P = 0.002).

CONCLUSIONS

Our study shows that PF is positively associated with BMD in the US population. A variety of factors such as race and age influence this relationship. the relationship between PF and BMD needs to be further investigated, including specific regulatory mechanisms and confounding factors.

Artificial Diploid Escherichia coli by a CRISPR Chromosome-Doubling Technique

Synthetic biology has been represented by the creation of artificial life forms at the genomic scale. In this work, a CRISPR-based chromosome-doubling technique is designed to first construct an artificial diploid Escherichia coli cell. The stable single-cell diploid E. coli is isolated by both maximal dilution plating and flow cytometry, and confirmed with quantitative PCR, fluorescent in situ hybridization, and third-generation genome sequencing. The diploid E. coli has a greatly reduced growth rate and elongated cells at 4-5 µm. It is robust against radiation, and the survival rate after exposure to UV increased 40-fold relative to WT. As a novel life form, the artificial diploid E. coli is an ideal substrate for research fundamental questions in life science concerning polyploidy. And this technique may be applied to other bacteria.

The influence of water level fluctuations on the migration and enrichment of phosphorus in an agricultural groundwater system, Jianghan Plain

The enrichment of phosphorus (P) in groundwater (GW) has been regarded as one of the most important sources of water eutrophication, but its sources and mechanisms have remained unclear. This study focused on hydraulic change show that drove the migration of P in an agricultural groundwater system, Jianghan Plain, Central China. Based on four rounds of field investigation over different seasons and across two consecutive years. Seasonable water table fluctuations (WLFs) reached 1.6 m and 3.8 m in GW and surface water (SW), respectively. Moreover, the concentrations of P in GW were obviously higher than those in SW where 54.1% of all GW samples presented higher content of P than the World Health Organization (WHO) limit of 0.4 mg/L with the highest one arriving to 1.97 mg/L. Although the trends and amplitudes varied at different points and depths, the spatial and temporal distribution of P corresponded with the local WLFs that were responsible for the enrichment of GW P. On the one hand, WLFs changed hydraulic conditions to enhance the migration of soluble P in the unsaturated zone into the aquifer. On the other hand, WLFs resulted in changes to the redox conditions or to the GW hydrochemical compositions, which promoted the dissolution of Fe or Mn containing P. These caused the release and enrichment of P in GW. Therefore, this study helps understand the geochemical cycling of P and improves GW management in the local GW system, Jianghan Plain.

ecBSU1: A Genome-Scale Enzyme-Constrained Model of Bacillus subtilis Based on the ECMpy Workflow

Genome-scale metabolic models (GEMs) play an important role in the phenotype prediction of microorganisms, and their accuracy can be further improved by integrating other types of biological data such as enzyme concentrations and kinetic coefficients. Enzyme-constrained models (ecModels) have been constructed for several species and were successfully applied to increase the production of commodity chemicals. However, there was still no genome-scale ecModel for the important model organism Bacillus subtilis prior to this study. Here, we integrated enzyme kinetic and proteomic data to construct the first genome-scale ecModel of B. subtilis (ecBSU1) using the ECMpy workflow. We first used ecBSU1 to simulate overflow metabolism and explore the trade-off between biomass yield and enzyme usage efficiency. Next, we simulated the growth rate on eight previously published substrates and found that the simulation results of ecBSU1 were in good agreement with the literature. Finally, we identified target genes that enhance the yield of commodity chemicals using ecBSU1, most of which were consistent with the experimental data, and some of which may be potential novel targets for metabolic engineering. This work demonstrates that the integration of enzymatic constraints is an effective method to improve the performance of GEMs. The ecModel can predict overflow metabolism more precisely and can be used for the identification of target genes to guide the rational design of microbial cell factories.

The clinical characteristics of acute cerebral infarction patients with thalassemia in a tropic area in China

This study aimed to explore the clinical characteristics of acute cerebral infarction (ACI) patients with thalassemia through the analysis of clinical data. Adult patients with ACI who were admitted to the First Affiliated Hospital of Hainan Medical College, the Second Affiliated Hospital of Hainan Medical College, Hainan Provincial People's Hospital, and the Department of Neurology of Haikou People's Hospital from January 2008 to December 2018 were enrolled. According to the eligibility criteria, 183 ACI patients were examined, of whom there were 33 cases with thalassemia, 50 cases with iron-deficiency anemia (IDA), and 100 non-anemic cases. Laboratory data, including platelet count, homocysteine count, and hemoglobin level, were collected. Besides, the results of auxiliary examinations, such as brain magnetic resonance imaging or computed tomography, carotid ultrasound, electrocardiogram, and cardiac color ultrasound, were collected. Baseline clinical data (e.g., history of smoking and drinking) were acquired. The clinical characteristics were compared and analyzed among the three groups. There were more female ACI patients with thalassemia than male ones. Furthermore, lesions in the thalassemia and IDA groups were mainly located in the region from the corona radiata and the centrum semiovale, in which multiple small infarcts were dominant. In the non-anemia group, patients' lesions were mainly found in the basal ganglia area, and single small infarcts had the highest proportion.

Comprehensive profiling of serotypes, antimicrobial resistance and virulence of Salmonella isolates from food animals in China, 2015-2021

Introduction

Salmonella is a ubiquitous foodborne pathogen and mainly transmitted to human farm-to-fork chain through contaminated foods of animal origin.

Methods

In this study, we investigated the serotypes, antimicrobial resistance and virulence of Salmonella from China.

Results

A total of 617 Salmonella isolates were collected from 4 major food animal species across 23 provi nces in China from 2015-2021. Highest Salmonella prevalence were observed in Guangdong (44.4%) and Sandong (23.7%). Chickens (43.0%) was shown to be the major source of Salmonella contamination, followed by pigs (34.5%) and ducks (18.5%). The number of Salmonella increased significantly from 5.51% to 27.23% during 2015-2020. S. Derby (17.3%), S. Enteritidis (13.1%) and S. Typhimurium (11.4%) were the most common serotypes among 41 serotypes identifiedin this study. Antibiotic susceptibility testing showing that the majority of the Salmonella isolates were resistant to neomycin (99.7%), tetracycline (98.1%), ampicillin (97.4%), sulfadiazine/trimethoprim (97.1%), nalidixic acid (89.1%), doxycycline (83.1%), ceftria xone (70.3%), spectinomycin (67.7%), florfenicol (60.0%), cefotaxime (52.0%) and lomefloxacin (59.8%). The rates of resistance to multiple antibiotics in S. Derby and S.Typhimurium were higher than that in S. Enteritidis. However, the rate of resistance to fosfomycin were observed from higher to lower by S. Derby, S. Enteritidis, and S. Typhimurium. Biofilm formation ability analysis found that 88.49%of the Salmonella were able to produce biofilms, of which 236 Salmonella isolates were strong biofilm producer. Among the 26 types of antibiotics resistance genes (ARGs) were identified in this study, 4 ARGs (tetB,sul2,aadA2, and aph(3')-IIa) were highly prevalent. In addition, 5 β-lactam resistance genes (bla _TEM, bla _SHV, bla _CMY-2, bla _CTX-M, and bla _OXA) and 7 quinolone resistance genes (oqxA, oqxB, qnrB, qnrC, qnrD, qnrS, and qeqA) were detected among these isolates. 12 out of 17 virulence genes selected in this study were commonly presented in the chromosomes of tested isolate, with a detection rate of over 80%, including misL, spiA, stn, pagC, iroN, fim, msgA, sopB, prgH, sitC, ttrC, spaN.

Discussion

This study provided a systematical updating on surveillance on prevalence of Salmonella from food animals in China, shedding the light on continued vigilance for Salmonella in food animals.

Prevalence and Persistence of Ceftiofur-Resistant Escherichia coli in A Chicken Layer Breeding Program

We determined the longitudinal persistence of ceftiofur-resistant Escherichia coli from a chicken breeding farm in China. A total of 150 samples were collected from 5 breeding periods in a flock of layer hens, and the prevalence of ceftiofur-resistant E. coli fluctuated across the 5 chicken breeding stages: eggs, 3.33%; growing period, 100%; early laying period, 36.7%; peak laying period, 66.7% and late laying period, 80%. The most prevalent ceftiofur resistance genes were bla_CTX-M-55, bla_CMY and bla_NDM, and ST101 was the most prevalent and persistent sequence type across the breeding periods. Our results indicated that this breeder flock was heavily contaminated by ST101 ceftiofur-resistant E. coli and that its presence should be intensively monitored on chicken farms.

[Digital cell models and their applications: a review]

Various omics technologies are changing Biology into a data-driven science subject. Development of data-driven digital cell models is key for understanding system level organization and evolution principles of life, as well as for predicting cellular function under various environmental/genetic perturbations and subsequently for the design of artificial life. Consequently, the construction, analysis and design of digital cell models have become one of the core supporting technologies in synthetic biology. This paper summarized the research progress on digital cell models in the last ten years after the foundation of Tianjin Institute of Industrial Biotechnology, Chinese Academy of Sciences, with a focus on the development and quality control of genome-scale metabolic network for reliable metabolic pathway design and their application in guiding strain metabolic engineering. We also introduced the latest progress on developing cellular models with multiple constraints to improve prediction accuracy. At last, we briefly discussed the current challenges and future directions in digital cell model development. We believe that digital cell technology, along with genome sequencing, genome synthesis and genome editing, will greatly improve our ability in reading, writing, modifying and creating life.

A CRISPR-based chromosomal-separation technique for Escherichia coli

Background

Natural life systems can be significantly modified at the genomic scale by human intervention, demonstrating the great innovation capacity of genome engineering. Large epi-chromosomal DNA structures were established in Escherichia coli cells, but some of these methods were inconvenient, using heterologous systems, or relied on engineered E. coli strains.

Results

The wild-type model bacterium E. coli has a single circular chromosome. In this work, a novel method was developed to split the original chromosome of wild-type E. coli. With this method, novel E. coli strains containing two chromosomes of 0.10 Mb and 4.54 Mb, and 2.28 Mb and 2.36 Mb were created respectively, designated as E. coli0.10/4.54 and E. coli2.28/2.36. The new chromosomal arrangement was proved by PCR amplification of joint regions as well as a combination of Nanopore and Illumina sequencing analysis. While E. coli0.10/4.54 was quite stable, the two chromosomes of E. coli2.28/2.36 population recombined into a new chromosome (Chr.4.64MMut), via recombination. Both engineered strains grew slightly slower than the wild-type, and their cell shapes were obviously elongated.

Conclusion

Finally, we successfully developed a simple CRISPR-based genome engineering technique for the construction of multi-chromosomal E. coli strains with no heterologous genetic parts. This technique might be applied to other prokaryotes for synthetic biology studies and applications in the future.

Impact of manganese sulfide (MnS) oxygenation-induced oxidization on aqueous organic contaminants: Insight into the role of the hydroxyl radical (HO·)

Manganese sulfide (MnS) has unique reactive abilities and can affect the fate and toxicity of contaminants in the natural environment, specifically sulfidic sediments that undergo biogeochemical changes due to natural and artificial processes. However, the effect of oxidization induced by the oxygenation of MnS on organic contaminants remains poorly understood. Herein, we revealed that the hydroxyl radical (HO·) was the dominant reactive oxidant for the rapid degradation of the assessed hydrophobic organic contaminants (including azo dye, nitroaromatic compounds, pesticide, and an endocrine disrupt chemical) during the oxygenation of MnS based on the competitive dynamic experiments, quenching experiments and electron spin resonance (ESR) methods. The removal rates of the assessed organic contaminants were significantly dependent on MnS dosage and co-solutes, including sediment humic acid, metal ions (Mn²⁺and Fe³⁺), and inorganic anions (PO₄^3-and Cl^-). HO· scavenging by sulfide and its oxidation products (e.g., elemental sulfur), rather than dissolved Mn²⁺, was responsible for the low utilization efficiency of HO· for the assessed contaminants. The contribution of the manganese oxide (MnO₂) generated by the oxygenation of MnS to the examined degradation of contaminants could be neglected. Considered collectively, the reaction between H₂O₂ and MnO₂ generated superoxide radicals (O₂^-·) which dominated the generation of HO· in an oxic MnS suspension. The results suggest that the impact of oxidization induced by the oxygenation of MnS on environmental contaminants should be of concern in both natural and engineered systems.

Base editor enables rational genome-scale functional screening for enhanced industrial phenotypes in Corynebacterium glutamicum

Genome-scale functional screening accelerates comprehensive assessment of gene function in cells. Here, we have established a genome-scale loss-of-function screening strategy that combined a cytosine base editor with approximately 12,000 parallel sgRNAs targeting 98.1% of total genes in Corynebacterium glutamicum ATCC 13032. Unlike previous data processing methods developed in yeast or mammalian cells, we developed a new data processing procedure to locate candidate genes by statistical sgRNA enrichment analysis. Known and novel functional genes related to 5-fluorouracil resistance, 5-fluoroorotate resistance, oxidative stress tolerance, or furfural tolerance have been identified. In particular, purU and serA were proven to be related to the furfural tolerance in C. glutamicum. A cloud platform named FSsgRNA-Analyzer was provided to accelerate sequencing data processing for CRISPR-based functional screening. Our method would be broadly useful to functional genomics study and strain engineering in other microorganisms.

[Comparative study of decentration, tilt and visual quality after implantation of aspherical intraocular lenses]

Objective: To compare the difference of decentration and tilt among 4 kinds of aspherical intraocular lenses (IOLs), and to analyze their objective visual quality. Methods: Prospective non-randomized controlled clinical trial. Age-related cataract patients who planned to undergo phacoemulsification and IOL implantation in the Affiliated Hospital of North Sichuan Medical College from April to June in 2020 were divided into ZCB00 group, SN60WF group, A1-UV group, and AO group according to IOL types. Thirty right eyes and thirty left eyes were selected in each group. Before operation and at 1 day, 1 week and 1 month postoperatively, decentration and tilt values were measured by a new swept-source anterior-segment optical coherence tomography device (CASIA2), and wavefront aberrations, objective scatter index (OSI), modulation transfer function cut off frequency (MTF cut off) and Strehl ratio (SR) were also examined. Values of decentration, tilt and visual quality compared among 4 groups were took from the right eye. One-way analysis of variance was used for inter-group comparison, and repeated measurement one-way analysis of variance was used for intra-group comparison. Data between right eyes and left eyes from all the individuals were compared by independent sample t-test. Results: A total of 181 patients (240 eyes) were enrolled, and 169 patients (224 eyes) completed the follow-up (114 right eyes and 110 left eyes). There were 77 males and 92 females, with an age of (69±9) years. There was no significant difference in gender, age, axial length, decentration and tilt of crystalline lens and IOL power among 4 groups (all P>0.05). At 1 day, 1 week and 1 month postoperatively, there was significant difference in decentration value among 4 groups (F=7.11, 6.12, 4.66; all P<0.05). For further pairwise comparison, the decentration value of SN60WF group was higher than that of the other 3 groups at 1 day and 1 week postoperatively, and the decentration value of SN60WF group was (0.259±0.101) mm at 1 month postoperatively, which was higher than that of ZCB00 group (0.177±0.099) mm and AO group (0.163±0.122) mm, and the differences were statistically significant (using SNK-q test, both P<0.05). The IOL tilt value in the ZCB00 group, SN60WF group, A1-UV group, and AO group at 1 month postoperatively were (4.806±1.129)°, (5.080±1.309)°, (4.586±1.338)°, (5.112±1.406)°, respectively. No significant difference in tilt value among 4 groups was found at any time after surgery (all P>0.05). In each group, there was no significant difference in decentration and tilt value at different postoperative time points (all P>0.05). At 1 month postoperatively, there was no significant difference in decentration and tilt at horizontal and vertical directions respectively among 4 groups (all P>0.05), and in each group, there was no significant difference in decentration and tilt value between right eyes and left eyes (all P>0.05), and IOLs tended to tilt towards the inferonasal or inferotemporal direction in both eyes. With 4-mm and 6-mm pupil diameter, there was significant difference in internal (F=131.32, 85.17) and ocular (F=46.64, 47.55) spherical aberration among 4 groups (all P<0.01). For further pairwise comparison, the spherical aberration of AO group was higher than that of the other 3 groups, and the difference was statistically significant (using SNK-q test, all P<0.05). There was no significant difference in OSI, MTF cut off and SR among 4 groups (all P>0.05). Conclusions: The four types of IOLs show decentration and tilt in varying degrees after implantation in the capsular bag, but this difference do not lead to clinical significance. Human eyes have tolerance to mild decentration and tilt of aspheric IOLs, showing good visual quality.

Data-Driven Synthetic Cell Factories Development for Industrial Biomanufacturing

Revolutionary breakthroughs in artificial intelligence (AI) and machine learning (ML) have had a profound impact on a wide range of scientific disciplines, including the development of artificial cell factories for biomanufacturing. In this paper, we review the latest studies on the application of data-driven methods for the design of new proteins, pathways, and strains. We first briefly introduce the various types of data and databases relevant to industrial biomanufacturing, which are the basis for data-driven research. Different types of algorithms, including traditional ML and more recent deep learning methods, are also presented. We then demonstrate how these data-based approaches can be applied to address various issues in cell factory development using examples from recent studies, including the prediction of protein function, improvement of metabolic models, and estimation of missing kinetic parameters, design of non-natural biosynthesis pathways, and pathway optimization. In the last section, we discuss the current limitations of these data-driven approaches and propose that data-driven methods should be integrated with mechanistic models to complement each other and facilitate the development of synthetic strains for industrial biomanufacturing.

POS0349 DECOY RECEPTOR 3 AND ITS SIGNAL PATHWAY CONTRIBUTE TO PATHOGENESIS IN PRIMARY GOUTY ARTHRITIS

Background

Gouty arthritis (GA) is an autoinflammatory disease caused by the deposition of monosodium urate crystal (MSU) in the joints and surrounding tissues, which lead to a series of complex inflammatory cascade amplification reactions.The clinical symptoms of acute GA attack rapidly, but often alleviate spontaneously within 7 ~ 10 days, which is one of the significant characteristics different from other joint diseases or autoimmune diseases. However, the exact molecular mechanism of its inflammatory self limitation is still unclear. The phenotypic imbalance of Th1 / Th2 cells and the M1/ M2 polarization of macrophages may be involved in the inflammatory self limitation of gout[1].Decoy receptor 3 (DCR3) can differentiate T cells into Th2 phenotype, promote M2 polarization of macrophages, and play the functions of immune regulation and repair[2].DCR3 and its Signal Pathway are involved in the pathogenesis of tumors and a variety of autoimmune diseases, and have become an important research target of tumors and immune related diseases.However, studies on DcR3 related molecular pathway and GA are scarce, and the specific regulatory mechanism is unknown.

Objectives

To assess the contribution of DcR3 and its signal pathway to gout and the clinical importance of these genes in primary gouty arthritis.

Methods

The mRNA expression levels of DCR3 and its signal pathway(DR3, TL1A, Fas, FasL, Ligth, LigthR, LTgthRNA expression levels of DCR3 and its signal pathway(DR3gout and the clinical importance of these genes in primary gouty arthritis.nt research target of tumors and immune related diseases.However, studies on DcR3 related moathway expression levels and laboratory features was analyzed in GA patients.

Results

The expression levels of DCR3, FasL were much lower in the AG and IG group than in the HC groups (p<0.05), and no significant difference was detected between AG and IG groups(P>0.05)(a,e). The expression levels of DR3 were much lower in the AG and IG group than in the HC groups (p<0.05), and much lower in the AG group than in the IG groups (p<0.05)(b). The expression levels of TL1A were much higher in the AG group than in the IG and HC groups (p<0.05), and no significant difference was detected between IG and HC groups(P>0.05)(c).The expression levels of Light, LightR were much lower in the AG group than in the HC groups (p<0.05), and no significant difference was detected between AG and IG groups, IG and HC groups(P>0.05)(f,g).The expression levels of LTlower in the AG and IG group than in the HC groups (p<0.05(p<0.05), and no significant difference was detected between AG and IG groups, IG and HC groups(P>0.05)(h).In GA patients, the levels of DcR3 related molecular pathway gene correlated with laboratory inflammatory and metabolic indexes.

Conclusion

Altered DCR3 and its signal pathway expression suggests that DCR3 related molecular pathway is involved in the pathogenesis of GA and participates in regulating inflammation and metabolism.

References

[1]Desai J, Steiger S, Anders HJ. Molecular Pathophysiology of Gout[J]. Trends Mol Med. 2017 Aug;23(8):756-768. DOI:10.1016/j.molmed.2017.06.005.

[2]Pan YG, Huang MT, Sekar P, et al. Decoy Receptor 3 Inhibits Monosodium Urate-Induced NLRP3 Inflammasome Activation via Reduction of Reactive Oxygen Species Production and Lysosomal Rupture[J]. Front Immunol. 2021 Mar 3;12:638676.DOI:10.3389/fimmu.2021.638676.

Figure 1.

Relative Expression of DcR3 related molecular pathway gene in the PBMCs of Patients.The expression levels of DCR3, FasL were much lower in the AG and IG group than in the HC groups (p<0.05)(a,e). The expression levels of DR3 were much lower in the AG and IG group than in the HC groups (p<0.05), and much lower in the AG group than in the IG groups (p<0.05)(b). The expression levels of TL1A were much higher in the AG group than in the IG and HC groups (p<0.05)(c).The expression levels of Light, LightR were much lower in the AG group than in the HC groups (p<0.05)(f,g).The expression levels of LTβR were much higher in the AG group than in the HC groups (p<0.05)(h).

Acknowledgements

Institute of Research Center of Gout and Hyperuricemia of the Affiliated Hospital, North Sichuan Medical College

Disclosure of Interests

None declared

AB0702 Coexistence of systemic sclerosis and microscopic polyangitis associated with pulmonary renal syndrome: a case report and literature review

Background

Systemic sclerosis is a chronic immune disease characterized by varying degrees of fibrosis of skin and internal organs. Microscopic polyangitis, as a subtype of ANCA associated vasculitis, mainly involves small blood vessels, often manifested as necrotizing glomerulonephritis and pulmonary capillary vasculitis. Pulmonary renal syndrome is characterized by diffuse alveolar hemorrhage based on pulmonary capillary vasculitis and rapidly progressive glomerulonephritis, which can be derived from a variety of autoimmune diseases, of which ANCA associated vasculitis accounts for about 60%[1]. The cases of coexistence of systemic sclerosis and microscopic polyangitis associated with pulmonary renal syndrome in clinic are rare, which is often dangerous and is easy to miss diagnosis or misdiagnosis.

Objectives

To investigate the clinical characteristics, diagnosis and treatment of coexistence of systemic sclerosis (SSC) and microscopic polyangitis（MPA）associated with pulmonary renal syndrome (PRS).

Methods

The clinical data, diagnosis and treatment process of a patient who has SSC combined with MPA and PRS were summarized and analyzed. And the literature was reviewed to explore the correlation of the pathogenesis and clinical experience of SSC complicated with MPA and PRS.

Results

The case is a middle-aged male who was diagnosed as SSc due to the hardening of the skin of both hands，Reynolds phenomenon, the anti-scl-70 antibody are positive. The patient suffered from repeated hemoptysis, progressive dyspnea, severe anemia and renal insufficiency, so he was diagnosed as MPA with PRS. After giving glucocorticoid, immunosuppressant and anti-infection treatment, his condition has improved. A total of 7 case reports were retrieved by reviewing the relevant literature.A total of 7 patients were reported.They were first diagnosed as SSc and then MPA with PRS, of which 4 cases improved after treatment and 3 cases died. Among the dead patients, 1 case was treated with penicillamine for 3 years, and the remaining 2 cases were only treated with steroids without immunosuppressants.In SSc, P-ANCA is closely related to vasculitis, and the prognosis of PRS secondary to P-ANCA may be very poor. Most of the diagnosis of MPA is only after patients have kidney or lung diseases.There is a certain correlation between them in pathogenesis. Glucocorticoids, immunosuppressants, biological agents, hemodialysis and plasma exchange are the main treatments.

Conclusion

Although the cases of SSc combined with MPA and PRS are rare, there are still many cases reported,which reminds us: ①When SSc patients have new symptoms such as renal insufficiency or lungs, they should be alert to new entities that may be combined with other autoimmune diseases to avoid missed diagnosis or misdiagnosis.②ANCA should be detected in SSc patients at baseline, which may be related to disease activity.③PRS has rapid progress and high mortality, whcih is an emergency that needs urgent treatment. Such patients should be treated with glucocorticoid, immunosuppression and plasma exchange immediately. However, if patients are complicated with SSc, they need to be extra careful when using high-dose steroids, which increases the risk of renal crisis.

References

[1]de Groot K, Schnabel A. Das pulmorenale Syndrom [Pulmonary-renal syndrome]. Internist (Berl). 2005;46(7):769-782. doi:10.1007/s00108-005-1423-8.

Figure 1.

The contrast of chest CT before and after treatment showed that the exudative lesions of both lungs were significantly absorbed

Figure 2.

Clinical data of systemic sclerosis combined with microscopic polyangitis and pulmonary renal syndrome

Acknowledgements

Institute of Research Center of Gout and Hyperuricemia of the Affiliated Hospital, North Sichuan Medical College

Disclosure of Interests

None declared

AB0112 DECOY RECEPTOR 3 AND ITS SIGNAL PATHWAY CONTRIBUTE TO PATHOGENESIS IN ANKYLOSING SPONDYLITIS

Background

Ankylosing spondylitis (AS) is a chronic progressive disease with invasion of spine and sacroiliac joint as the main clinical manifestation, which can be combined with systemic inflammation or abnormalities in multiple parts at the same time. There are complex changes of immune function in patients with AS, and its immune and genetic pathogenesis is still unclear. Decoy receptor 3 (DcR3), as a new immune molecule discovered in recent years, plays an important role in regulating T cell activation, proliferation, differentiation and apoptosis.Studies have confirmed that DcR3 is involved in the immune disorder process of rheumatoid arthritis, SLE, AS and other autoimmune diseases, so that the role of DcR3 in AS has attracted attention. However, the expression of DcR3 related pathway genes[1-3].However, studies evaluating the DcR3 related pathway genes in AS are scarce.

Objectives

To assess the contribution of DcR3 and its signal pathway to AS and the clinical importance of these genes in AS.

Methods

The mRNA expression levels of DCR3 and its signal pathway(DR3、TL1A、Fas、FasL、Ligth、LigthR、LTgthRNA expresured in peripheral blood mononuclear cells (PBMCs) from 50 AS patients and 50 healthy subjects. The relationship between DCR3 related molecular pathway expression levels and laboratory features was analyzed in AS patients.

Results

The expression levels of DCR3、DR3、Fas、Light were much lower in the AS group than in the HC groups (p<0.05)(a,b,c,d), and the expression levels of LT The relationship between DCR3 related molecular pathway expression l

Conclusion

Compared with HC group, DCR3 and its signal pathway in PBMCs of AS patients are differentially expressed. It is speculated that DcR3 related molecular pathway gene may be involved in the pathogenesis of AS.

Figure 1.

Relative Expression of DcR3 related molecular pathway gene in the PBMCs of Patients. The mRNA levels in PBMCs from AS patients(n=50) and HCs(n=50) were measured by RT-qPCR. The expression levels of DCR3ˎDR3ˎFasˎLight were much lower in the AS group than in the HC groups (p<0.05)(a,b,c,d), and the expression levels of LTβR was much higher in the AS group than in the HC groups (p<0.05)(e).

References

[1]Lee CS, Hu CY, Tsai HF, et al. Elevated serum decoy receptor 3 with enhanced T cell activation in systemic lupus erythematosus. Clin Exp Immunol. 2008;151(3):383-390. doi:10.1111/j.1365-2249.2007.03579.x

[2]Hayashi S, Miura Y, Tateishi K, Takahashi M, Kurosaka M. Decoy receptor 3 is highly expressed in patients with rheumatoid arthritis. Mod Rheumatol. 2010;20(1):63-68. doi:10.1007/s10165-009-0240-7.

[3]Chen MH, Chen WS, Tsai CY, Liao HT, Chen CH, Chou CT. Overexpression of decoy receptor 3 in synovial tissues of inflammatory arthritis. Clin Exp Rheumatol. 2012;30(2):171-177.

Acknowledgements

Institute of Research Center of Gout and Hyperuricemia of the Affiliated Hospital, North Sichuan Medical College

Disclosure of Interests

None declared