Preparation of sulfated arabinogalactan-loaded hydrogel for wound healing in mouse burn model.

Sulfation of polysaccharides can affect their biological activity by introducing sulfate groups. Skin burns occur regularly and have a great impact on normal survival. In this study, sulfated arabinogalactan (SAG) was prepared by sulfation, and polyvinyl alcohol (PVA) was used to prepare hydrogels for the treatment of scalded skin in mouse. The results show that the main chain of SAG consists of →3-ß-D-Galactose (Gal)-(1, →3, 6)-ß-D-Gal-(1 and →4)-ß-d-Glucose (Glc)-(1. The chain is a neutral polysaccharide composed of T-ß-L-Arabinose (Araf)-(1→, with a molecular weight of 17.9 kDa. At the same time, PVA + SAG hydrogel can promote the scald repair of mouse skin by promoting collagen deposition and angiogenesis, and regulating the TLR4/MyD88/NF-κB signaling pathway. Interestingly, the effect of SAG on promoting the repair of scald wounds is enhanced after AG is derivatized by sulfation. Therefore, the preparation of SAG by sulfation can promote scald repair, and has great application potential in the field of food and medicine.

A precision engineered interleukin-2 (IL-2) for bolstering CD8+ T- and NK-cell activity without eosinophilia and vascular leak syndrome in non-human primates.

We have created a precisely pegylated IL-2 [SAR-444245 (SAR'245) or pegenzileukin, previously THOR- 707] designed for proliferation of target CD8+ T and NK cells for anti-cancer activity, with minimal expansion of anti-target regulatory CD4+ T cells (Tregs) that counter their action, or eosinophils that trigger vascular leak syndrome (VLS). We performed in vivo studies in non-human primate (NHP) to monitor SAR'245's safety, pharmacokinetic profile, and pharmacodynamic parameters including expansion of peripheral CD8+ T and NK cells, and effects on Tregs and eosinophils. Studies included multiple ascending dosing and repeat dosing with different regimens (QW, Q2W, Q3W and Q4W). We also conducted ex vivo studies using human primary cells to further evaluate SAR'245 stimulation of target cells alone and in combination with PD-1 checkpoint inhibitors. The pharmacokinetic profile of SAR'245 in NHP demonstrated dose-proportional exposure that was comparable with redosing. It elicited expansion of peripheral CD8+ T and NK cells that was comparable with each dose and with multiple dosing regimens. Once-weekly dosing showed no significant adverse effects, including no hallmark signs of VLS at dosing levels up to 1 mg/kg. Ex vivo, SAR'245 enhanced T-cell receptor responses alone and in combination with PD-1 inhibitors without inducing cytokines associated with cytokine release syndrome or VLS. Results support the clinical development of SAR'245 as a drug candidate for the treatment of solid tumors, alone or in combination with PD-1 inhibitory agents.

Identify Non-mutational p53 Functional Deficiency in Human Cancers.

An accurate assessment of p53's functional status is critical for cancer genomic medicine. However, there is a significant challenge in identifying tumors with non-mutational p53 inactivations that are not detectable through DNA sequencing. These undetected cases are often misclassified as p53-normal, leading to inaccurate prognosis and downstream association analyses. To address this issue, we built the support vector machine (SVM) models to systematically reassess p53's functional status in TP53 wild-type (TP53  WT) tumors from multiple The Cancer Genome Atlas (TCGA) cohorts. Cross-validation demonstrated the good performance of the SVM models with a mean area under curve (AUC) of 0.9822, precision of 0.9747, and recall of 0.9784. Our study revealed that a significant proportion (87%-99%) of TP53  WT tumors actually have compromised p53 function. Additional analyses uncovered that these genetically intact but functionally impaired (termed as predictively reduced function of p53 or TP53  WT-pRF) tumors exhibited genomic and pathophysiologic features akin to TP53 mutant tumors: heightened genomic instability and elevated levels of hypoxia. Clinically, patients with TP53  WT-pRF tumors experienced significantly shortened overall survival or progression-free survival compared to those with predictively normal function of p53 (TP53  WT-pN) tumors, and these patients also displayed increased sensitivity to platinum-based chemotherapy and radiation therapy.

A Novel Metabolomic Aging Clock Predicting Health Outcomes and Its Genetic and Modifiable Factors.

Existing metabolomic clocks exhibit deficiencies in capturing the heterogeneous aging rates among individuals with the same chronological age. Yet, the modifiable and non-modifiable factors in metabolomic aging have not been systematically studied. Here, a new aging measure-MetaboAgeMort-is developed using metabolomic profiles from 239,291 UK Biobank participants for 10-year all-cause mortality prediction. The MetaboAgeMort showed significant associations with all-cause mortality, cause-specific mortality, and diverse incident diseases. Adding MetaboAgeMort to a conventional risk factors model improved the predictive ability of 10-year mortality. A total of 99 modifiable factors across seven categories are identified for MetaboAgeMort. Among these, 16 factors representing pulmonary function, body composition, socioeconomic status, dietary quality, smoking status, alcohol intake, and disease status showed quantitatively stronger associations. The genetic analyses revealed 99 genomic risk loci and 271 genes associated with MetaboAgeMort. The tissue-enrichment analysis showed significant enrichment in liver. While the external validation of the MetaboAgeMort is required, this study illuminates heterogeneous metabolomic aging across the same age, providing avenues for identifying high-risk individuals, developing anti-aging therapies, and personalizing interventions, thus promoting healthy aging and longevity.

Comparative efficacy of double plasma molecular adsorption system combined with plasma exchange versus plasma exchange in treating acute-on-chronic liver failure due to hepatitis B: A meta-analysis.

This meta-analysis aims to evaluate the effectiveness of the double plasma molecular adsorption system (DPMAS) in combination with plasma exchange (PE) compared to plasma exchange alone in the treatment of Acute-on-Chronic liver failure (LF) caused by hepatitis B. Until August 31, 2023, a comprehensive search of databases including Embase, Chinese Medical Journal Full-text Database, China Biomedical Literature Database, Wan Fang Medical Network, PubMed, and the Cochrane Library was carried out using keywords like "liver failure," "acute-on-chronic liver failure," "PE," "DPMAS," and related terms. The quality of the included studies was evaluated using QUADS (quality assessment of diagnostic accuracy studies). Software Revman 5.3 was used to examine the data, while Stata 15.1 was used to run Egger's test. Following thorough screening, 452 patients who received PE alone and 429 patients who received DPMAS in addition to PE were included. Every study that was included was of a high caliber. When comparing the DPMAS plus PE group to the PE alone group, the total bilirubin reduction was considerably higher (mean difference [MD] = -49.09, 95% confidence interval [CI]: -54.84 to -43.35, p < .00001). Prothrombin activity (PTA; MD = -1.53, 95% CI: -3.29 to -0.22, p = .09), albumin (ALB; MD = -0.58, 95% CI: -1.57 to 0.41, p = .25), prothrombin time (PT; MD = -0.07, 95% CI: -1.47 to 1.34, p = .92), and platelet count (PLT; MD = -0.08, 95% CI: -1.33 to 1.66, p = .90) did not differ significantly. The improvement in international standardized ratio (INR) was significantly greater in the PE group (MD = 0.07, 95% CI (0.03, 0.10), p = .0001). When combined with DPMAS, PE has been shown to be more effective in lowering total bilirubin levels. PE can also lower INR in individuals who have hepatitis B-related ACLF. This therapeutic strategy also lessens the need for plasma transfusions.

The predictive value of thromboelastography, routine blood indices, ultrasound parameters, and placental thickness in determining fetal outcome.

OBJECTIVE: To evaluate the predictive value of thromboelastography, routine blood indices, ultrasound measurements, and placental thickness for fetal outcome. METHODS: A retrospective analysis of 218 expectant mothers at our hospital from April 2020 to June 2022 was conducted. Mothers were classified into favorable (n=164) and adverse (n=54) fetal outcome groups. We compared thromboelastography, blood counts, and ultrasound parameters, including placental thickness, between the two groups. Predictive models using lasso regression were developed for individual assessment type and their combinations. Model efficacies were evaluated by ROC curves and Delong's test. RESULTS: Thromboelastography indicated significantly higher values of R (P=0.004), Angle (P<0.001), and MA (P=0.002) while notably lower K (P<0.001) in the adverse outcome group compared to the favorable outcome group. Peripheral blood analysis showed elevated levels of WBC (P<0.001), CRP (P=0.001), and PLR (P<0.001) in the adverse outcome group. Ultrasound assessments revealed significant increases in S/D (P<0.001), PI (P=0.016), RI (P<0.001), and placental thickness (P<0.001) in the adverse outcome group. The areas under the curve (AUCs) for the thromboelastography (4 features), peripheral blood indices (3 features), ultrasound parameters (4 features), and combined index model (11 features) were 0.774, 0.779, 0.961, and 0.978, respectively. Delong's test indicated that the combined model's AUC did not significantly differ from that of the ultrasound parameters (P>0.05) but was superior to the models based on thromboelastography, peripheral blood indices, and placental thickness alone (P<0.001). CONCLUSION: This study underscores the unparalleled predictive value of ultrasound metrics in identifying the risk of adverse pregnancy outcomes, highlighting their critical role in prenatal risk assessment and monitoring frameworks.

Declined intrinsic capacity predicts long-term mortality in Chinese older adults: Beijing Longitudinal Study of Aging.

BACKGROUND: Intrinsic capacity reflects an individual's functions and capacities across their lifetime. There are few studies on whether the level of intrinsic capacity can predict long-term mortality in Chinese populations. OBJECTIVE: To explore the effects of intrinsic capacity on long-term outcomes in older Chinese adults. METHODS: Data were obtained from the Beijing Longitudinal Study of Aging. Overall, 1699 community-dwelling adults aged ≥60 years were included and followed up for 8 years. Intrinsic capacity was determined according to the World Health Organization definition. The predictive ability for adverse outcomes was assessed using the age- and sex-adjusted Cox proportional hazards model. RESULTS: A decline in intrinsic capacity domains was observed in 729 (42.9 %) participants. Declines in the mobility, cognition, vitality, sensory and psychology domains were observed in 21.8 %, 15.1 %, 11.4 %, 9.10 %, and 14.2 % of the participants, respectively. Low intrinsic capacity was associated with worse physical performance, frailty, social frailty, chronic diseases, fracture, and falls. A greater decline in intrinsic capacity predicted an elevated 8-year mortality rate (decline in overall intrinsic capacity hazard ratio 2.91, 95 % confidence interval 2.44-3.47, P < 0.001; decline in one domain hazard ratio 2.11, 95 % confidence interval 1.71-2.61, P < 0.001; decline in two domains hazard ratio 3.54, 95 % confidence interval 2.81-4.45, P < 0.001; decline in three or more domains hazard ratio 5.30, 95 % confidence interval 4.09-6.87, P < 0.001); adjusted models did not affect prediction performance. Among the five domains of intrinsic capacity, cognition was the strongest predictor of mortality (hazard ratio 3.17, 95 % confidence interval 2.63-3.81, P < 0.001). CONCLUSIONS: Intrinsic capacity is useful in identifying older adults at higher risk of adverse outcomes, presenting significant implications for healthcare policies in China.

How specific ion effects influence the mechanical behaviors of amide macromolecules? A cross-scale study.

The mechanisms of specific ion effects on the properties of amide macromolecules is essential to understanding the evolution of life. Because most biological macromolecules contain both complex hydrophilic and hydrophobic structures, it is challenging to accurately identify the contributions of molecular structure to macroscopic behaviors. Herein, we investigated the influence of specific ion effects on the mechanical behaviors of poly(N-isopropylacrylamide) and neutral polyacrylamide (i.e., PNIPAM and NPAM), through a cross-scale study that includes single-molecule force spectroscopy, molecular dynamics simulation and macro mechanical method. The results indicate that the molecular conformation can be markedly influenced by the hydrophilicity (or hydrophobicity) of both macromolecule chain and ions. An extended chain conformation can be obtained when the side groups and ions are relatively hydrophilic, which can also increase the elasticity of a macromolecule chain and film materials. The relatively hydrophobic components promote the collapse of macromolecule chains and reduce the molecular elasticity. It is believed that the hydrogen bonding intensity between a macromolecule chain and aquated ions controls the chain conformation and the elasticity of molecules and films. This study is not only helpful for understanding the self-assembly mechanism of organisms but also provides a way to associate the molecular properties with the macroscopic performance of materials.

Accelerated Discovery of Carbamate Cbl-b Inhibitors Using Generative AI Models and Structure-Based Drug Design.

Casitas B-lymphoma proto-oncogene-b (Cbl-b) is a RING finger E3 ligase that has an important role in effector T cell function, acting as a negative regulator of T cell, natural killer (NK) cell, and B cell activation. A discovery effort toward Cbl-b inhibitors was pursued in which a generative AI design engine, REINVENT, was combined with a medicinal chemistry structure-based design to discover novel inhibitors of Cbl-b. Key to the success of this effort was the evolution of the "Design" phase of the Design-Make-Test-Analyze cycle to involve iterative rounds of an in silico structure-based drug design, strongly guided by physics-based affinity prediction and machine learning DMPK predictive models, prior to selection for synthesis. This led to the accelerated discovery of a potent series of carbamate Cbl-b inhibitors.

Coupling effects of irrigation and nitrogen on spring maize yield and greenhouse gas emissions in Northwestern China.

BACKGROUND: This study explored the mechanism of irrigation and nitrogen (N) coupling on spring maize yield and soil greenhouse gas (GHG) emissions, with the objective of achieving water saving, high yield and emission reduction. Field experiments were conducted to analyze the effects of multiple irrigation and N management strategies on GHG emissions and to determine the optimal balance between GHG, water conservation and grain yield. The experiments were conducted on spring maize with three irrigation levels (low, IL; medium, IM; and high, IH) and 4 N application levels (N40, N80, N120 and N160 kg N ha-1). RESULTS: The IL treatment exhibited the lowest N2O and CO2 emission fluxes and the lowest CH4 uptake fluxes. The N40 treatment exhibited the lowest N2O and CO2 emission fluxes and the highest CH4 uptake flux. Significant positive correlations were observed among N2O and CO2 emission fluxes, CH4 uptake fluxes, and soil moisture and inorganic N content. Maize yield initially increased and then decreased with rising levels of irrigation and N management. By employing the TOPSIS method to assess yield and greenhouse effects, we identified the IMN120 treatment as optimal given that this treatment achieved the highest yield (14 686.26 kg ha-1) and water use efficiency (3.51 kg m-3) while maintaining relatively low global warming potential (573.30 kg CO2 eq ∙ ha-1) and GHG intensity (0.0390 kg CO2 eq ∙ kg-1). CONCLUSION: Irrigation optimization and N management are key to reducing GHG emissions, enhancing yield, and promoting both the sustainable development of agriculture and environmental protection. © 2024 Society of Chemical Industry.

[Clinical and genetic characteristics of a case of primary ciliary dyskinesia caused by new frameshift mutation of the DNAH5 gene].

OBJECTIVE: To investigate the clinical and genetic characteristics of a case of primary ciliary dyskinesia (PCD). METHODS: We collected the clinical data on a case of PCD treated in the Department of Reproductive Medicine of Linyi People's Hospital in July 2020, detected the genes of the patient by whole-exome sequencing (WES), verified the candidate mutations by Sanger sequencing, and predicted the protein structure of the mutant gene by SWISS-MODEL. RESULTS: The proband was found with the clinical phenotypes of chronic rhinitis, bronchiectasis, visceral transposition and male infertility. WES revealed a homozygous frameshift variation of c.12890dup (p.N4297Kfs*13) in exon 74 of the DNAH5 gene, which led to the premature termination of polypeptide chain synthesis and affected the gene function. SWISS-MODEL prediction showed that some of the amino acid residues were deleted after mutation, resulting in a 3D conformational change of the protein. This variation was not recorded in the ClinVar, gnomAD and OMIM databases and, according to the relevant guidelines of the American College of Genetics and Genomics, was classified as a pathogenic variation (PVS1+PM2_P+PM3_P). CONCLUSION: The homozygous variation of the DNAH5 gene c.12890dup (p.N4297Kfs*13) may be the cause of the clinical phenotype of this case of PCD, and the above findings have enriched the variation spectrum of the DNAH5 gene.

A hybrid evaluation of the intestinal absorption performance of compounds from molecular structure.

Intestinal absorption of compounds is significant in drug research and development. To evaluate this efficiently, a method combining mathematical modeling and molecular simulation was proposed, from the perspective of molecular structure. Based on the quantitative structure-property relationship study, the model between molecular structure and their apparent permeability coefficients was successfully constructed and verified, predicting intestinal absorption of drugs and interpreting decisive structural factors, such as AlogP98, Hydrogen bond donor and Ellipsoidal volume. The molecules with strong lipophilicity, less hydrogen bond donors and receptors, and small molecular volume are more easily absorbed. Then, the molecular dynamics simulation and molecular docking were utilized to study the mechanism of differences in intestinal absorption of drugs and investigate the role of molecular structure. Results indicated that molecules with strong lipophilicity and small volume interacted with the membrane at a lower energy and were easier to penetrate the membrane. Likewise, they had weaker interaction with P-glycoprotein and were easier to escape from it and harder to export from the body. More in, less out, is the main reason these molecules absorb well.

Study on the expression patterns of inner root sheath-specific genes in Tan sheep hair follicle during different developmental stages.

By analyzing the expression patterns of inner root sheath (IRS) specific genes during different developmental stages of hair follicle (HF) in Tan sheep embryos and at birth, this study aims to reveal the influence of the IRS on crimped wool. Skin tissues from the scapular region of male Tan sheep were collected at 85 days (E85) and 120 days (E120) of fetal development, and at 0 days (D0), 35 days (D35), and 60 days (D60) after birth, with four samples at each stage. Real-time quantitative polymerase chain reaction (RT-qPCR) was employed to determine the relative expression levels of IRS type I keratin genes (KRT25, KRT26, KRT27, KRT28), type II keratin genes (KRT71, KRT72, KRT73, KRT74), and the trichohyalin gene (TCHH) in the skin of Tan sheep at different stages. Results showed that the expression levels of all IRS-specific genes peaked at D0, with the expression of all genes significantly higher than at E85 (P < 0.01), except for KRT73 and TCHH. The expression levels of KRT25, KRT26, and KRT72 were also significantly higher than at E120 (P < 0.01). Furthermore, the expression levels of KRT27, KRT28, KRT71, and KRT74 were significantly higher than both at E120 and D35 (P < 0.01). The expression levels of other genes at different stages showed no significant difference (P > 0.05). Conclusion: The IRS-specific genes exhibit the highest expression levels in Tan sheep at the neonatal stage. The expression levels of KRT71, KRT72, and TCHH, which are consistent with the pattern of wool crimp, may influence the morphology of the IRS and thereby affect the crimp of Tan sheep wool.

Employing antagonistic C-X-C motif chemokine receptor 4 antagonistic peptide functionalized NaGdF4 nanodots for magnetic resonance imaging-guided biotherapy of breast cancer.

C-X-C motif chemokine receptor 4 (CXCR4) is a promising therapeutic target of breast cancer because it is overexpressed on cell surface of all molecular subtypes of breast cancer including triplenegative breast cancer (TNBC). Herein, CXCR4 antagonistic peptide-NaGdF4 nanodot conjugates (termed as anti-CXCR4-NaGdF4 NDs) have been constructed for magnetic resonance imaging (MRI)-guided biotherapy of TNBC through conjugation of the C-X-C Motif Chemokine 12 (CXCL12)-derived cyclic peptide with tryptone coated NaGdF4 nanodots (5 ± 0.5 nm in diameter, termed as Try-NaGdF4 NDs). The as-prepared anti-CXCR4-NaGdF4 NDs exhibits high longitudinal relaxivity (r1) value (21.87 mM-1S-1), reasonable biocompatibility and good tumor accumulation ability. The features of anti-CXCR4-NaGdF4 NDs improve the tumor-MRI sensitivity and facilitate tumor biotherapy after injection in mouse-bearing MDA-MB-231 tumor model in vivo. MRI-guided biotherapy using anti-CXCR4-NaGdF4 NDs enables to suppress 46% tumor growth. In addition, about 47% injection dose of anti-CXCR4-NaGdF4 NDs is found in the mouse urine at 24 h post-injection. These findings demonstrate that anti-CXCR4-NaGdF4 NDs enable to be used as renal clearable nanomedicine for biotherapy and MRI of breast cancer.

Detection and severity assessment of obstructive sleep apnea according to deep learning of single-lead electrocardiogram signals.

Developing a convenient detection method is important for diagnosing and treating obstructive sleep apnea. Considering availability and medical reliability, we established a deep-learning model that uses single-lead electrocardiogram signals for obstructive sleep apnea detection and severity assessment. The detection model consisted of signal preprocessing, feature extraction, time-frequency domain information fusion, and classification segments. A total of 375 patients who underwent polysomnography were included. The single-lead electrocardiogram signals obtained by polysomnography were used to train, validate and test the model. Moreover, the proposed model performance on a public dataset was compared with the findings of previous studies. In the test set, the accuracy of per-segment and per-recording detection were 82.55% and 85.33%, respectively. The accuracy values for mild, moderate and severe obstructive sleep apnea were 69.33%, 74.67% and 85.33%, respectively. In the public dataset, the accuracy of per-segment detection was 91.66%. A Bland-Altman plot revealed the consistency of true apnea-hypopnea index and predicted apnea-hypopnea index. We confirmed the feasibility of single-lead electrocardiogram signals and deep-learning model for obstructive sleep apnea detection and severity evaluation in both hospital and public datasets. The detection performance is high for patients with obstructive sleep apnea, especially those with severe obstructive sleep apnea.

Design of a water-soluble transmembrane receptor kinase with intact molecular function by QTY code.

Membrane proteins are critical to biological processes and central to life sciences and modern medicine. However, membrane proteins are notoriously challenging to study, mainly owing to difficulties dictated by their highly hydrophobic nature. Previously, we reported QTY code, which is a simple method for designing water-soluble membrane proteins. Here, we apply QTY code to a transmembrane receptor, histidine kinase CpxA, to render it completely water-soluble. The designed CpxAQTY exhibits expected biophysical properties and highly preserved native molecular function, including the activities of (i) autokinase, (ii) phosphotransferase, (iii) phosphatase, and (iv) signaling receptor, involving a water-solubilized transmembrane domain. We probe the principles underlying the balance of structural stability and activity in the water-solubilized transmembrane domain. Computational approaches suggest that an extensive and dynamic hydrogen-bond network introduced by QTY code and its flexibility may play an important role. Our successful functional preservation further substantiates the robustness and comprehensiveness of QTY code.

Efficacy of hysteroscopic levonorgestrel­releasing intrauterine device fixation in the treatment of adenomyosis: A cohort study.

The present study aimed to investigate the efficacy of hysteroscopic levonorgestrel-releasing intrauterine device (LNG-IUD) fixation surgery in the treatment of adenomyosis through a cohort study. The cohort study was performed at the Affiliated Jinhua Hospital of Wenzhou Medical University (Jinhua, China). A total of 31 women with adenomyosis were initially recruited from June 2020 to June 2022 and divided into an experimental group and a control group. The experimental group underwent hysteroscopic LNG-IUD fixation surgery and the control group underwent conventional implantation of the levonorgestrel-releasing intrauterine system. The assessed efficacy outcomes included the time of LNG-IUD expulsion, postoperative vaginal bleeding time, dysmenorrhea, and the menstrual blood loss score (MBLS). A total of 31 participants completed the research. The LNG-IUD expulsion rate was 6.25 and 60% (P<0.05) in the experimental and control group, respectively. The LNG-IUD in place time was 20.50 months (Q1, 15.75; Q3, 24.00) in the experimental group and 10.00 months (Q1, 6.50; Q3, 15.00) in the control group (P<0.05); the time of vaginal bleeding after surgery in the experimental and control groups were 12.50 days (9.25, 16.25) and 120.00 days (75.00, 120.00), respectively (P<0.05). Multiple-factor Cox regression analysis revealed that the LNG-IUD expulsion in patients with adenomyosis is associated with the hysteroscopic LNG-IUD fixation surgery [hazard ratio (HR), 1954.09], uterine cavity depth (HR, 16.63), MBLS (HR, 1.14), history of gonadotropin-releasing hormone agonist treatment in the previous 6 months (HR, 2.10), history of vaginal delivery (HR, 1.79) and history of cervical laceration (HR, 3.69). In conclusion, hysteroscopic LNG-IUD fixation reduces the rate of LNG-IUD expulsion, prolongs the time of LNG-IUD in the uterine cavity, reduces the time of postoperative vaginal bleeding, relieves the symptoms of dysmenorrhea and reduces the menstrual volume in the patients with adenomyosis. The present trial was retrospectively registered in the Chinese Clinical Trial Registry on 28th December 2023 (registration no. ChiCTR2300079233).

Systematic identification and analysis of immune-related circRNAs of Pelteobagrus fulvidraco involved in Aeromonas veronii infection.

Circular RNA (circRNA) represents a type of newly discovered non-coding RNA, distinguished by its closed loop structure formed through covalent bonds. Recent studies have revealed that circRNAs have crucial influences on host anti-pathogen responses. Yellow catfish (Pelteobagrus fulvidraco), an important aquaculture fish with great economic value, is susceptible to Aeromonas veronii, a common aquatic pathogen that can cause acute death. Here, we reported the first systematic investigation of circRNAs in yellow catfish, especially those associated with A. veronii infection at different time points. A total of 1205 circRNAs were identified, which were generated from 875 parental genes. After infection, 47 circRNAs exhibited differential expression patterns (named DEcirs). The parental genes of these DEcirs were functionally engaged in immune-related processes. Accordingly, seven DEcirs (novel_circ_000226, 278, 401, 522, 736, 843, and 975) and six corresponding parental genes (ADAMTS13, HAMP1, ANG3, APOA1, FGB, and RALGPS1) associated with immunity were obtained, and their expression was confirmed by RT-qPCR. Moreover, we found that these DEcir-gene pairs likely acted through pathways, such as platelet activation, antimicrobial humoral response, and regulation of Ral protein signal transduction, to influence host immune defenses. Additionally, integrated analysis showed that, of the 7 immune-related DEcirs, three targeted 16 miRNAs, which intertwined into circRNA-miRNA networks. These findings revealed that circRNAs, by targeting genes or miRNAs are highly involved in anti-bacterial responses in yellow catfish. Our study comprehensively illustrates the roles of circRNAs in yellow catfish immune defenses. The identified DEcirs and the circRNA-miRNA network will contribute to the further investigations on the molecular mechanisms underlying yellow catfish immune responses.

Construction and Verification of Urinary Tract Infection Prediction Model for Hospitalized Rehabilitation Patients with Spinal Cord Injury.

OBJECTIVE: To explore the influencing factors of urinary tract infection (UTI) in hospitalized patients with spinal cord injury and to construct and verify the nomogram prediction model. METHODS: This study is a retrospective cohort study. From January 2017 to March 2022, 558 patients with spinal cord injury admitted to the Department of Rehabilitation Medicine of a tertiary hospital in Anhui Province, China, were selected as the research objects, and they were randomly divided into training group (n = 390) and verification group (n = 168) according to the ratio of 7:3, and clinical data including socio-demographic characteristics, disease-related data, and laboratory examination data were collected. Univariate analysis and multivariate logistic regression were used to analyze the influencing factors of UTI in hospitalized patients with spinal cord injuries. Based on this, a nomogram prediction model was constructed with the use of R software, and the risk prediction efficiency of the nomogram model was verified by the receiver operating characteristic curve and calibration curve. RESULTS: Logistic regression analysis showed that the American Spinal Cord Injury Association (ASIA)-E grade (compared with ASIA-A grade) was an independent protective factor for UTI in hospitalized patients with spinal cord injury (odds ratio < 1, P < 0.05), while white blood cell count and indwelling catheter were independent risk factors for UTI in hospitalized patients with spinal cord injury (odds ratio > 1, P < 0.05). Based on this, a nomogram risk predictive model for predicting UTI in hospitalized rehabilitation patients with spinal cord injury was constructed, which proved to have good predictive efficiency. In the training group and the verification group, the area under the receiver operating characteristic curve of the nomogram model is 0.808 and 0.767, and the 95% confidence interval of the area under the receiver operating characteristic curve of the nomogram in the training group and the verification group is 0.760∼0.856 and 0.688∼0.845, respectively, indicating the nomogram model has good discrimination. According to the calibration curve, the prediction probability of the nomogram model and the actual frequency of UTI in the training group and the verification group are in good consistency, and the results of the Hosmer-Lemeshow bias test also suggest that the nomogram model has a good calibration degree in both the training group and the verification group (P = 0.329, 0.067). CONCLUSIONS: ASIA classification level, white blood cell count, and indwelling catheter are independent influencing factors of UTI in hospitalized patients with spinal cord injury. The nomogram prediction model based on the above factors can simply and effectively predict the risk of UTI in hospitalized patients with spinal cord injury, which is helpful for clinical medical staff to identify high-risk groups early and implement prevention, treatment, and nursing strategies in time.