Research Progress on Dental Age Estimation Based on MRI Technology.

Dental age estimation is a crucial aspect and one of the ways to accomplish forensic age estimation, and imaging technology is an important technique for dental age estimation. In recent years, some studies have preliminarily confirmed the feasibility of magnetic resonance imaging (MRI) in evaluating dental development, providing a new perspective and possibility for the evaluation of dental development, suggesting that MRI is expected to be a safer and more accurate tool for dental age estimation. However, further research is essential to verify its accuracy and feasibility. This article reviews the current state, challenges and limitations of MRI in dental development and age estimation, offering reference for the research of dental age assessment based on MRI technology.

Effects of concentrate feeding sequence on VFA production, and cecal microbiota of Dezhou donkeys by metagenomic technology.

Microorganisms residing in the cecum of donkeys are crucial for physiological processes, nutrient metabolism, and immune function. Feeding methods can affect the dynamic balance of animal gut microbiota, thereby affecting indicators such as volatile fatty acids. This study explores suitable feeding methods to promote actual production by changing the feeding order of concentrate. Fifteen Dezhou donkeys with similar age and weight profiles were randomly divided into three groups with the concentrate feeding sequence: fiber-to-concentrate (FC), concentrate-to-fiber (CF), and total mixed ration (TMR). The experiment spanned a duration of 82 days. The analyses conducted were primarily aimed at determining the effects of feeding on gut microbes, primarily using metagenomic sequencing techniques. The experimental findings revealed that the levels of valeric acid were notably higher in the CF and TMR groups compared to the FC group (p < 0.05). These results suggest that the feeding sequence exerts a certain impact on the microbial composition within the cecum of Dezhou donkeys. At the phylum level, the predominant microbiota consisted of Firmicutes and Bacteroidetes, with the CF group displaying a higher relative abundance of Firmicutes compared to both the FC and TMR groups. At the genus level, Prevotella, Bacteroides, and Fibrobacter were the dominant bacterial genera identified in cecum. The functional gene annotation analysis indicated a significantly lower abundance of lacZ (K01190), Por/nifJ (K03737), and ppdK (K01006) genes in CF group relative to the FC and TMR groups (p < 0.05), highlighting their roles in galactose metabolism and glycolysis, respectively. Moreover, the CF group exhibited a higher concentration of antibiotic resistance genes (tetO and tet44) in the gut microbiota compared to the TMR and FC groups (p < 0.05), underscoring the presence of numerous antibiotic resistance genes within the phyla Bacteroidetes, Firmicutes, and Proteobacteria. In conclusion, different precision feed sequences significantly impact the levels of volatile fatty acids in Dezhou fattening donkeys, modify the composition and functional genes of the cecal microbiota, and elucidate the microbial mechanisms influenced by the feeding sequence on the growth and metabolism. These insights are anticipated to provide a foundation for the rational design of precision feed sequences in practical agricultural settings.

Effects of exercise dose based on the ACSM recommendations on patients with post-stroke cognitive impairment: a systematic review and meta-analyses.

Purpose: This review aimed to assess the impact of different exercise dosages on cognitive function in individuals with post-stroke cognitive impairment (PSCI). Methods: Four electronic databases-Embase, PubMed, Web of Science, and Cochrane Library-were systematically searched from inception to 01 January 2024, focusing on the impact of exercise therapy on cognitive function in individuals with PSCI. Only randomized controlled trials meeting the criteria were included. The exercise therapy dose and adherence were evaluated following the American College of Sports Medicine (ACSM) guidelines, categorized into a high compliance group with ACSM recommendations and a low or uncertain compliance group. A random-effects model compared the effect of ACSM compliance on cognitive function in individuals with PSCI, with the effect size represented by the standardized mean difference (SMD) and a 95% confidence interval (CI). Results: In total, 18 studies meeting the criteria were included, with data from 1,742 participants. The findings suggested a beneficial effect of exercise on cognitive function in individuals with PSCI [SMD = 0.42, 95% CI (0.20, 0.65)]. Ten studies were categorized as the "high adherence group" and eight in the "low or uncertain adherence group" based on the ACSM recommendations. The subgroup analysis revealed that the SMD of the high compliance group was 0.46 (95% CI: 0.10, 0.82) (p = 0.01), while the SMD of the low or uncertain compliance group was 0.38 (95% CI: 0.07, 0.70) (p = 0.02). Conclusion: Our study indicates the beneficial impact of exercise for patients with PSCI over no exercise. Furthermore, high adherence to the exercise dose recommended by ACSM guidelines demonstrated a more substantial improvement in cognitive function than low or uncertain adherence in patients with PSCI. Systematic Review Registration: https:// www.crd.york.ac.uk/prospero/#myprospero, identifier CRD42023487915.

Prevalence of anxiety, depression, sleeping problems, cognitive impairment, and suicidal ideation in people with autoimmune skin diseases.

BACKGROUND: Autoimmune skin diseases (ASDs) such as psoriasis and vitiligo, in addition to causing visible skin symptoms, are closely associated with psychological health issues. However, a comprehensive understanding of the prevalence of these psychological comorbidities in affected individuals is lacking. This study aims to identify the prevalence of anxiety, depression, sleeping problems, cognitive impairment, and suicidal ideation in people with ASDs. METHOD: PubMed, MEDLINE, Web of Science, and Cochrane Library searches were conducted from 1993 to May 2024. Observational studies reporting prevalence data for anxiety, depression, sleeping problems, cognitive impairment, and suicidal ideation among people with ASDs were included in the analysis. The Newcastle-Ottawa scale was used to evaluate the quality of studies. RESULTS: The study included 114 studies from 37 countries including 823,975 participants. The estimated pooled prevalence of anxiety in patients with ASDs was 33.3% (95% CI: 27.3-29.3%). The estimated pooled prevalence of depression was 33.7% (95% CI: 29.2-38.1%). The estimated pooled prevalence of sleeping problems was 45.0% (95% CI:31.6-58.4%). The estimated pooled prevalence of cognitive impairment and suicidal ideation was 30.8% (95% CI:15.0-46.7%) and 21.6% (95% CI:13.4-29.8%), respectively. The most common mental disorder in patients with systemic lupus erythematosus and psoriasis was sleeping problems at 55.9% (95% CI: 35.6-76.1%, I2 = 97%) and 39.0% (95% CI: 21.1-56.9%, I2 = 99%). CONCLUSION: Among patients with ASDs, anxiety, depression, sleeping problems, cognitive impairment, and suicidal ideation were common. The most prevalent mental disorder among patients with systemic lupus erythematosus and psoriasis was sleeping problems. Those with ASDs may experience considerable psychological burdens, and integrated mental health support is necessary for their treatment.

Concentration-resistance relationship and PK/PD evaluation of danofloxacin against emergence of resistant Pasteurella multocida in an in vitro dynamic model.

AIMS: This study aimed to assess the pharmacokinetic/pharmacodynamic (PK/PD) targets of danofloxacin to minimize the risk of selecting resistant P. multocida mutants and to identify the mechanisms underlying their resistance in an in vitro dynamic model, attaining the optimum dosing regimen of danofloxacin to improve its clinical efficacy based on the mutant selection window (MSW) hypothesis. METHODS AND RESULTS: Danofloxacin at seven dosing regimens and five days of treatment were simulated to quantify the bactericidal kinetics and enrichment of resistant mutants upon continuous antibiotic exposure. The magnitudes of PK/PD targets associated with different efficacies were determined in the model. The 24 h danofloxacin area under the concentration-time curve to MIC ratios (AUC24h/MIC) associated with bacteriostatic, bactericidal and eradication effects against P. multocida were 34, 52, and 64 h. This translates to average danofloxacin concentrations (Cav) over 24 h being 1.42, 2.17, and 2.67 times the MIC, respectively. An AUC/MIC-dependent antibacterial efficacy and AUC/MPC (mutant prevention concentration)-dependent enrichment of P. multocida mutants in which maximum losses in danofloxacin susceptibility occurred at a simulated AUC24h/MIC ratio of 72 h (i.e. Cav of 3 times the MIC). The overexpression of efflux pumps (acrAB-tolC) and their regulatory genes (marA, soxS, and ramA) was associated with reduced susceptibility in danofloxacin-exposed P. multocida. The AUC24h/MPC ratio of 19 h (i.e. Cav of 0.8 times the MPC) was determined to be the minimum mutant prevention target value for the selection of resistant P. multocida mutants. CONCLUSIONS: The emergence of P. multocida resistance to danofloxacin exhibited a concentration-dependent pattern and was consistent with the MSW hypothesis. The current clinical dosing regimen of danofloxacin (2.5 mg kg-1) may have a risk of treatment failure due to inducible fluoroquinolone resistance.

Body mass index and pressure injuries risk in hospitalized adult patients: A dose-response analysis.

BACKGROUND: The association between underweight and pressure injuries (PIs) has been established in several studies. However, there is a lack of well-designed research investigating the connection between overweight and obesity with these injuries. OBJECTIVE: This meta-analysis aims to investigate the dose-response relationship between body mass index (BMI) and the risk of PIs in adult hospitalized patients. METHODS: PubMed, Web of Science, and MEDLINE Databases were searched from inception to May 2024. Observational articles with at least three BMI categories were included in the study. BMI was defined as underweight, normal weight, overweight, and morbid obesity for the meta-analysis. The non-linear relationship between BMI and the risk of PIs in hospitalized adults was investigated using restricted cubic spline models. Fractional polynomial modeling was used. RESULTS: Eleven articles reporting at least 3 categories of BMI met the inclusion criteria, including 31,389 participants. Compared to patients with normal weight, those with underweight, obesity, and morbid obesity exhibited an increased risk of PIs, with odds ratios of 1.70 (95%CI:1.50-1.91), 1.12 (95%CI:1.02-1.24), 1.70 (95%CI:1.13-2.55), respectively. A J-shaped dose-response model was established for the relationship between PI risk and BMI (Pnon-linearity < 0.001, Plinearity = 0.745). CONCLUSION: The J-shaped dose-response pattern revealed that underweight, obesity and morbid obesity heightened the risk of PIs in hospitalized adults. Lower and higher BMI values may signify an increased risk for PIs, particularly among the elderly with lower BMI, providing valuable guidance for medical staff.

Application of Robotic Stereotactic Assistance (ROSA) for spontaneous intracerebral hematoma aspiration and thrombolytic catheter placement.

BACKGROUND: Spontaneous intracerebral hemorrhage (ICH) accounts for up to 20% of all strokes and results in 40% mortality at 30 days. Although conservative medical management is still the standard treatment for ICH patients with small hematoma, patients with residual hematoma ≤15 mL after surgery are associated with better functional outcomes and survival rates. This study reported our clinical experience with using Robotic Stereotactic Assistance (ROSA) as a safe and effective approach for stereotactic ICH aspiration and intra-clot catheter placement. METHODS: A retrospective analysis was conducted of patients with spontaneous ICH who underwent ROSA-guided ICH aspiration surgery. ROSA-guided ICH surgical techniques, an aspiration and intra-clot catheter placement protocol, and a specific operative workflow (pre-operative protocol, intraoperative procedure and postoperative management) were employed to aspirate ICH using the ROSA One Brain, and appropriate follow-up care was provided. RESULTS: From September 14, 2021 to May 4, 2022, a total of 7 patients were included in the study. Based on our workflow design, ROSA-guided stereotactic ICH aspiration effectively aspirated more than 50% of hematoma volume (or more than 30 mL for massive hematomas), thereby reducing the residual hematoma to less than 15 mL. The mean operative time of entire surgical procedure was 1.3 ± 0.3 h, with very little perioperative blood loss and no perioperative complications. No patients required catheter replacement and all patients' functional status improved. CONCLUSIONS: Within our clinical practice ROSA-guided ICH aspiration, using our established protocol and workflow, was safe and effective for reducing hematoma volume, with positive functional outcomes.

Machine Learning-Guided Prediction of Desalination Capacity and Rate of Porous Carbons for Capacitive Deionization.

Nowadays, capacitive deionization (CDI) has emerged as a prominent technology in the desalination field, typically utilizing porous carbons as electrodes. However, the precise significance of electrode properties and operational conditions in shaping desalination performance remains blurry, necessitating numerous time-consuming and resource-intensive CDI experiments. Machine learning (ML) presents an emerging solution, offering the prospect of predicting CDI performance with minimal investment in electrode material synthesis and testing. Herein, four ML models are used for predicting the CDI performance of porous carbons. Among them, the gradient boosting model delivers the best performance on test set with low root mean square error values of 2.13 mg g-1 and 0.073 mg g-1 min-1 for predicting desalination capacity and rate, respectively. Furthermore, SHapley Additive exPlanations is introduced to analyze the significance of electrode properties and operational conditions. It highlights that electrolyte concentration and specific surface area exert a substantially more influential role in determining desalination performance compared to other features. Ultimately, experimental validation employing metal-organic frameworks-derived porous carbons and biomass-derived porous carbons as CDI electrodes is conducted to affirm the prediction accuracy of ML models. This study pioneers ML techniques for predicting CDI performance, offering a compelling strategy for advancing CDI technology.

Daucosterol regulates JAK2-STAT3 signaling pathway to promote megakaryocyte differentiation.

Immune thrombocytopenia (ITP) is an autoimmune disease caused by the loss of immune tolerance to platelet autoantigens, resulting in reduced platelet production and increased platelet destruction. Impaired megakaryocyte differentiation and maturation is a key factor in the pathogenesis and treatment of ITP. Sarcandra glabra, a plant of the Chloranthaceae family, is commonly used in clinical practice to treat ITP, and daucosterol (Dau) is one of its active ingredients. However, whether Dau can treat ITP and the key mechanism of its effect are still unclear. In this study, we found that Dau could effectively promote the differentiation and maturation of megakaryocytes and the formation of polyploidy in the megakaryocyte differentiation disorder model constructed by co-culturing Dami and HS-5 cells. In vivo experiments showed that Dau could not only increase the number of polyploidized megakaryocytes in the ITP rat model, but also promote the recovery of platelet count. In addition, through network pharmacology analysis, we speculated that the JAK2-STAT3 signaling pathway might be involved in the process of Dau promoting megakaryocyte differentiation. Western blot results showed that Dau inhibited the expression of P-JAK2 and P-STAT3. In summary, these results provide a basis for further studying the pharmacological mechanism of Dau in treating ITP.

Comparison of modified Furlow palatoplasty using small double-opposing Z-plasty and conventional Furlow palatoplasty: A long-term outcome study.

BACKGROUND: The aim of palatoplasty is to create a functional palate to achieve normal speech, while minimizing post-operative complications. This study aimed to compare the long-term outcomes of modified Furlow palatoplasty using small double-opposing Z-plasty (small-DOZ) and conventional Furlow palatoplasty (conventional-DOZ) performed in a single center. METHODS: A retrospective review of consecutive patients who underwent Furlow palatoplasty between May 2007 and March 2014 was executed. Non-syndromic patients subjected to palatoplasty prior to 24 months of age and followed-up until at least 9 years of age were included. RESULTS: A total of 196 small-DOZ and 280 conventional-DOZ palatoplasty patients were included in this study. Overall, 14 patients (2.9%) developed oronasal fistula, and 40 patients (8.4%) received velopharyngeal insufficiency (VPI) surgery. In comparisons, oronasal fistula rate was significantly higher in conventional-DOZ (0.5% vs. 4.6%, p = 0.01), and the VPI prevalence was not significantly different (9.2% vs. 7.9%, p = 0.62). Patients who developed fistula had a significantly higher likelihood of developing VPI than patients without oronasal fistula (50.0% vs. 7.1%, respectively; p < 0.01), with an odds ratio of 13.0. CONCLUSION: Both modalities of palatoplasty yielded commendable velopharyngeal function in the long-term follow-up. The small-DOZ with reduced tension lowered the risk of oronasal fistula.

SVEN_5003 is a Major Developmental Regulator in Streptomyces venezuelae.

Many regulatory genes that affect cellular development in Streptomyces, such as the canonical bld genes, have already been identified. However, in this study, we identified sven_5003 in Streptomyces venezuelae as a major new developmental regulatory gene, the deletion of which leads to a bald phenotype, typical of bld mutants, under multiple growth conditions. Our data indicated that disruption of sven_5003 also has a differential impact on the production of the two antibiotics jadomycin and chloramphenicol. Enhanced production of jadomycin but reduced production of chloramphenicol were detected in our sven_5003 mutant strain (S. venezuelae D5003). RNA-Seq analysis indicated that SVEN_5003 impacts expression of hundreds of genes, including genes involved in development, primary and secondary metabolism, and genes of unknown function, a finding confirmed by real-time PCR analysis. Transcriptional analysis indicated that sven_5003 is an auto-regulatory gene, repressing its own expression. Despite the evidence indicating that SVEN_5003 is a regulatory factor, a putative DNA-binding domain was not predicted from its primary amino acid sequence, implying an unknown regulatory mechanism by SVEN_5003. Our findings revealed that SVEN_5003 is a pleiotropic regulator with a critical role in morphological development in S. venezuelae.

Circulating Levels of T-Cell Traits and the Risk of Amyotrophic Lateral Sclerosis: A Mendelian Randomization Study.

Amyotrophic lateral sclerosis (ALS) represents a rare and potentially fatal neurodegenerative disease. Diverse T-cell subsets could potentially exert diametrically opposite impacts upon ALS development. A two-sample Mendelian randomization (MR) analysis was performed to investigate the correlation between 244 T-cell subsets and ALS risk. Genetic instrumental variables were procured from a standard genome-wide association study (GWAS) that encompassed 244 T-cell subsets in 3757 individuals of European lineage. ALS-related data were collected from a GWAS comprising 20,806 ALS instances and 59,804 European control participants. Multiple sensitivity analyses were performed to verify the robustness of the significant results. Reverse MR analysis was used for delineating the effects of ALS on the characteristics of T-cells. After multiple comparison corrections, 24 out of the 244 subtypes demonstrated a potential association with ALS risk. Significantly, 75% of these associations encompassed the expression of the CD3 on diverse T-cell subtypes, revealing a highly consistent inverse relation to ALS risk. The proportion of T regulatory cells (Tregs) in CD4+ T cells and secreting Tregs in CD4+ T cells demonstrated negative associations with the risk of ALS. CCR7 expression on naive CD4+ T cells and CCR7 expression on naive CD8+ T cells showed positive associations with ALS risk. Certain T-cell subsets, particularly those identified by CD3 expression on terminally differentiated CD8+ T cells, proportions of Tregs, and CCR7 expression, indicated an association with ALS risk. These findings harmonize with and extend previous observational studies investigating the involvement of T lymphocyte subset-induced immunological processes in ALS.

Incidence of surgical site infection in minimally invasive colorectal surgery.

BACKGROUND: Surgical site infection (SSI) is a common complication of colorectal surgery. Minimally invasive surgery notably reduces the incidence of SSI. This study aimed to compare the incidences of SSI after robot-assisted colorectal surgery (RACS) vs that after laparoscopic assisted colorectal surgery (LACS) and to analyze associated risk factors for SSI in minimally invasive colorectal surgery. AIM: To compare the incidences of SSI after RACS and LACS, and to analyze the risk factors associated with SSI after minimally invasive colorectal surgery. METHODS: Clinical data derived from patients who underwent minimally invasive colorectal surgery between October 2020 and October 2022 at the First Affiliated Hospital of Soochow University were collated. Differences in clinical characteristics and surgeryrelated information associated with RACS and LACS were compared, and possible risk factors for SSI were identified. RESULTS: A total of 246 patients (112 LACS and 134 RACS) were included in the study. Fortythree (17.5%) developed SSI. The proportions of patients who developed SSI were similar in the two groups (17.9% vs 17.2%, P = 0.887). Diabetes mellitus, intraoperative blood loss ≥ 100 mL, and incision length were independent risk factors for SSI. Possible additional risk factors included neoadjuvant therapy, lesion site, and operation time. CONCLUSION: There was no difference in SSI incidence in the RACS and LACS groups. Diabetes mellitus, intraoperative blood loss ≥ 100 mL, and incision length were independent risk factors for postoperative SSI.

Deep learning assisted fluid volume calculation for assessing anti-vascular endothelial growth factor effect in diabetic macular edema.

Objective: To develop an algorithm using deep learning methods to calculate the volume of intraretinal and subretinal fluid in optical coherence tomography (OCT) images for assessing diabetic macular edema (DME) patients' condition changes. Design: Cross-sectional study. Participants: Treatment-naive patients diagnosed with DME recruited from April 2020 to November 2021. Methods: The deep learning network, which was built for autonomous segmentation utilizing an encoder-decoder network based on the U-Net architecture, was used to calculate the volume of intraretinal fluid (IRF) and subretinal fluid (SRF). The alterations of retinal vessel density and thickness, and the correlation between best-corrected visual acuity (BCVA) and OCT parameters were analyzed. Results: 2,955 OCT images of fourteen eyes from DME patients with IRF and SRF who received anti-vascular endothelial growth factor (VEGF) agents were obtained. The area under the curve (AUC) of the receiver operating characteristic (ROC) curve of the algorithm was 0.993 for IRF and 0.998 for SRF. The volumes of IRF and SRF were significantly decreased from 1.93 ± 0.58 /1.14 ± 0.25 mm3 (baseline) to 0.26 ± 0.13 /0.26 ± 0.18 mm3 (post-injection), respectively (p = 0.0170 for IRF, and p = 0.0004 for SRF). The Spearman correlation demonstrated that the reduction of IRF volume was negatively correlated with age (coefficient = -0.698, p = 0.006). Conclusion: We developed a deep learning assisted fluid volume calculation algorithm with high sensitivity and specificity for assessing the volume of IRF and SRF in DME patients. Key words: deep learning; diabetic macular edema; optical coherence tomography.

The role of exosome derived miRNAs in inter-cell crosstalk among insulin-related organs in type 2 diabetes mellitus.

Exosomes are small extracellular vesicles secreted by almost all cell types, and carry diverse cargo including RNA, and other substances. Recent studies have focused exosomal microRNAs (miRNAs) on various human diseases, including type 2 diabetes mellitus (T2DM) and metabolic syndrome (METS) which accompany the occurrence of insulin resistance. The regulation of insulin signaling has connected with some miRNA expression which play a significant regulatory character in insulin targeted cells or organs, such as fat, muscle, and liver. The miRNAs carried by exosomes, through the circulation in the body fluids, mediate all kinds of physiological and pathological process involved in the human body. Studies have found that exosome derived miRNAs are abnormally expressed and cross-talked with insulin targeted cells or organs to affect insulin pathways. Further investigations of the mechanisms of exosomal miRNAs in T2DM will be valuable for the diagnostic biomarkers and therapeutic targets of T2DM. This review will summarize the molecular mechanism of action of the miRNAs carried by exosomes which are secreted from insulin signaling related cells, and elucidate the pathogenesis of insulin resistance to provide a new strategy for the potential diagnostic biomarkers and therapeutic targets for the type 2 diabetes.

Stability between single and segmental maxillary osteotomies in bimaxillary surgery for cleft-associated class III deformity: a CBCT study.

OBJECTIVE: Segmental Le Fort I osteotomy through the cleft is a common strategy to narrow the alveolar cleft in adults. This study compared skeletal stability between single and segmental Le Fort I osteotomies in patients with unilateral cleft lip and palate (UCLP). MATERIALS AND METHODS: This retrospective analysis examined 45 adults with complete UCLP-associated class III deformities who underwent bimaxillary surgery with either single (n = 30) or segmental (n = 15) Le Fort I advancement. Cone beam computed tomography (CBCT) scans of the facial skeleton were acquired before surgery, 1-week postsurgery, and at follow-up. Measures of landmarks from the CBCT images for the two treatment groups were compared for translation (left/right, posterior/anterior, superior/inferior) and rotation (yaw, roll, pitch). RESULTS: Postsurgery, the downward movement of the maxilla was larger in the segmental group than the single group. At follow-up, the maxilla moved backward in both groups, and upward in the segmental group. The mandible moved forward and upward and rotated upward in both groups. The amount of upward movement and rotation was larger in the segmental group than the single group. CONCLUSIONS: Two years after bimaxillary surgery in patients with UCLP-associated class III deformity, greater relapse was found after segmental Le Fort I osteotomies in vertical translation of the maxilla and mandible, and pitch rotation of the mandible compared with single Le Fort I osteotomies. CLINICAL RELEVANCE: The vertical relapse of the maxilla was larger after segmental Le Fort I advancement compared with single Le Fort I advancement in clefts.

Synthesis of polyethylene glycol-grafted magnetic nanoparticles for the fast and efficient extraction of anabolic substances from human urine.

Anabolic steroids and ß-agonists are commonly prohibited substances found in doping control studies; therefore, the determination of anabolic substances in biological samples is crucial. To analyze the anabolic compounds in urine, an adsorbent, polyethylene glycol (PEG)-grafted magnetic nanoparticle material (Fe3O4@SiO2-PEG), with low toxicity and strong biocompatibility was prepared in this investigation. Compared to those of Fe3O4 and Fe3O4@SiO2, the grafted PEG chains (approximately 5.4 wt.%) on the magnetic nanoparticles improved the extraction efficiencies by factors of 3.9-17.0 and 2.5-2.9, respectively, likely due to the electrostatic attraction and hydrogen bonding. To achieve maximum extraction efficiency, several extraction parameters were optimized, including the kind and volume of desorption solvent, pH, and the extraction and desorption time. The standard curves were linear within the range of 0.5-20 µg/L for methyltestosterone and trenbolone, and 0.02-5 µg/L for clenbuterol. The limits of detection for the three drugs were 0.01-0.12 µg/L. The limits of quantification were 0.02-0.40 µg/L. The levels of precision of the optimized method were assessed based on the respective intra- and inter-day and batch-to-batch relative standard deviations in the ranges of 3.2-5.2 % (n = 5), 5.9-11.3 % (n = 4), and 6.7-9.2 % (n = 3). The Fe3O4@SiO2-PEG nanoparticles could exclude urine matrix interferences (matrix effect of 91.8-98.1 %) and achieve satisfactory recoveries (75.5-116.1 %), affording sensitive and accurate determination of trace anabolic substances in urine.

Lipidomic analysis of serum exosomes identifies a novel diagnostic marker for type 2 diabetes mellitus.

BACKGROUND: Type 2 diabetes mellitus (T2DM) intricately involves disrupted lipid metabolism. Exosomes emerge as carriers of biomarkers for early diagnosis and monitoring. This study aims to identify lipid metabolites in serum exosomes for T2DM diagnosis. METHODS: Serum samples were collected from newly diagnosed T2DM patients and age and body mass index-matched healthy controls. Exosomes were isolated using exosome isolation reagent, and untargeted/targeted liquid chromatography-tandem mass spectrometry (LC-MS/MS) was used to identify and validate altered lipid metabolites. Receiver operating characteristic curve analysis was used to evaluate the diagnostic value of candidate lipid metabolites. RESULTS: Serum exosomes were successfully isolated from both groups, with untargeted LC-MS/MS revealing distinct lipid metabolite alterations. Notably, phosphatidylethanolamine (PE) (22:2(13Z,16Z)/14:0) showed stable elevation in T2DM-serum exosomes. Targeted LC-MS/MS confirmed significant increase of PE (22:2(13Z,16Z)/14:0) in T2DM exosomes but not in serum. PE (22:2(13Z,16Z)/14:0) levels not only positively correlated with hemoglobin A1C levels and blood glucose levels, but also effectively distinguished T2DM patients from healthy individuals (area under the curve = 0.9141). CONCLUSION: Our research sheds light on the importance of serum exosome lipid metabolites in diagnosing T2DM, providing valuable insights into the complex lipid metabolism of diabetes.

The impact of comorbidities on prolonged mechanical ventilation in patients with chronic obstructive pulmonary disease.

BACKGROUND: In patients with chronic obstructive pulmonary disease (COPD) and acute respiratory failure, approximately 10% of them are considered to be at high risk for prolonged mechanical ventilation (PMV, > 21 days). PMV have been identified as independent predictors of unfavorable outcomes. Our previous study revealed that patients aged 70 years older and COPD severity were at a significantly higher risk for PMV. We aimed to analyze the impact of comorbidities and their associated risks in patients with COPD who require PMV. METHODS: The data used in this study was collected from Kaohsiung Medical University Hospital Research Database. The COPD subjects were the patients first diagnosed COPD (index date) between January 1, 2012 and December 31, 2020. The exclusion criteria were the patients with age less than 40 years, PMV before the index date or incomplete records. COPD and non-COPD patients, matched controls were used by applying the propensity score matching method. RESULTS: There are 3,744 eligible patients with COPD in the study group. The study group had a rate of 1.6% (60 cases) patients with PMV. The adjusted HR of PMV was 2.21 (95% CI 1.44-3.40; P < 0.001) in the COPD patients than in non-COPD patients. Increased risks of PMV were found significantly for patients with diabetes mellitus (aHR 4.66; P < 0.001), hypertension (aHR 3.20; P = 0.004), dyslipidemia (aHR 3.02; P = 0.015), congestive heart failure (aHR 6.44; P < 0.001), coronary artery disease (aHR 3.11; P = 0.014), stroke (aHR 6.37; P < 0.001), chronic kidney disease (aHR 5.81 P < 0.001) and Dementia (aHR 5.78; P < 0.001). CONCLUSIONS: Age, gender, and comorbidities were identified as significantly higher risk factors for PMV occurrence in the COPD patients compared to the non-COPD patients. Beyond age, comorbidities also play a crucial role in PMV in COPD.