Enhancing Standardized Practices for Oral Mucositis Prevention in Pediatric Hematopoietic Stem Cell Transplantation: A Best Practice Implementation Project.

Background: Oral mucositis (OM) poses a significant challenge in children undergoing hematopoietic stem cell transplantation (HSCT). There is a gap between clinical practice and the evidence, and nursing practices is not standardized. Objective: This study aims to evaluate the effectiveness of applying the evidence for preventing HSCT chemotherapy-induced OM in children and to elevate the nurses' compliance to the evidence. Methods: Following the clinical evidence practice application model of the Joanna Briggs Institute (JBI) evidence-Based Care Center. The process included reviewing literature, extracting evidence, identifying gaps, developing audit criteria, conducting a baseline audit, creating an action plan, implementing evidence-based interventions, and assessing outcomes. Results: After the evidence implementation, 6 out of 12 audit criteria with poor compliance are significantly improved, with statistically significant differences (P<0.05). The incidence of OM decreases, with a statistically significant difference (66.6% vs 36.7%, P=0.02). The incidence of grade I, II, III, and IV OM also decreases (30% vs 23.3%, 23.3% vs 13.4%, 10% vs 0%, and 3.3% vs 0%). Ultimately, the standardized oral care practice routine and workflows to prevent OM were established. Conclusion: Bridging the gap between evidence and clinical practice can standardize nurse behavior, decrease the incidence of OM, and lower the OM severity in children undergoing HSCT.

Associations between earlobe creases and MRI SVD markers in a Chinese cohort of patients with ischemic stroke.

BACKGROUND: The association between earlobe crease (ELC) and cerebral small vessel disease (CSVD), including white matter hyperintensities (WMHs) and brain atrophy, is unclear, especially in the setting of acute ischemic stroke (AIS). Here, we aimed to investigate the association between ELC and WMHs as well as brain atrophy among AIS patients. METHODS: A total of 730 AIS patients from China were enrolled. Patients were divided into groups without and with ELC, unilateral and bilateral ELC according to pictures of bilateral ears. Logistic regression models were employed to assess the impact of ELC, bilateral ELC on WMHs, periventricular hyperintensities (PVH), deep white matter hyperintensities (DWMH), and brain atrophy, as measured by the Fazekas scale and global cortical atrophy scale, in brain magnetic resonance imaging (MRI). RESULTS: There were 520 (71.2%) AIS patients with WMHs, 445 (61.0%) with PVH, 462 (63.3%) with DWMH and 586 (80.3%) with brain atrophy. Compared to those without ELC, patients with ELC were significant associated with an increased risk of PVH (odds ratio [OR] 1.79; 95% confidence interval [CI], 1.15-2.77) and brain atrophy (OR 6.18; 95% CI, 3.60-10.63), but not WMHs and DWMH. The presence of bilateral ELC significantly increased the odds of WMHs (OR 1.60; 95% CI, 1.00-2.56), PVH (OR 1.87; 95% CI, 1.18-2.96), and brain atrophy (OR 8.50; 95% CI, 4.62-15.66) when compared to individuals without ELC. Furthermore, we discovered that the association between bilateral ELC and WMHs, PVH, and DWMH was significant only among individuals aged ≤68 (median age) years (all P trend ≤0.041). However, this association was not observed in patients older than 68 years. CONCLUSIONS: In Chinese AIS patients, the presence of the visible aging sign, ELC, especially bilateral ELC, showed independent associations with both white matter hyperintensities and brain atrophy, particularly among those younger than 68 years old.

Acoustic ejection mass spectrometry empowers ultra-fast protein biomarker quantification.

The global scientific response to COVID 19 highlighted the urgent need for increased throughput and capacity in bioanalytical laboratories, especially for the precise quantification of proteins that pertain to health and disease. Acoustic ejection mass spectrometry (AEMS) represents a much-needed paradigm shift for ultra-fast biomarker screening. Here, a quantitative AEMS assays is presented, employing peptide immunocapture to enrich (i) 10 acute phase response (APR) protein markers from plasma, and (ii) SARS-CoV-2 NCAP peptides from nasopharyngeal swabs. The APR proteins were quantified in 267 plasma samples, in triplicate in 4.8 h, with %CV from 4.2% to 10.5%. SARS-CoV-2 peptides were quantified in triplicate from 145 viral swabs in 10 min. This assay represents a 15-fold speed improvement over LC-MS, with instrument stability demonstrated across 10,000 peptide measurements. The combination of speed from AEMS and selectivity from peptide immunocapture enables ultra-high throughput, reproducible quantitative biomarker screening in very large cohorts.

Experimental and Numerical Investigation of Dynamic Damage and Load Transfer of PBX Substitute Material under Low Velocity Impact.

The accidental initiation of explosives under mechanical loads has caused numerous catastrophic events. Therefore, the dynamic damage behavior of confined polymer-bonded explosives (PBXs) must be assessed to improve their practical applicability. In this study, polymer-bonded sugar (PBS) materials were prepared using a novel agglomerate to develop a PBX substitute material with enhanced experimental safety. The mechanical properties of the PBS shell were evaluated using a dynamic compression test, which revealed that the compression response of the shell was affected by the strain rate. A low-velocity impact experiment was performed to investigate the dynamic damage and load transfer characteristics of the PBX substitute. A constitutive model was developed to characterize the mechanical response of PBS subjected to high strain rates, and implementing this model in ABAQUS ensured successful prediction of the damage evolution process associated with PBS. Simulation results indicated that the PBS specimen was primarily damaged around its center while sliding friction was dominant near the center during pressure application. Notably, different stress states result in distinct crack growth velocity histories along the axial direction, with the damage ratio progressively decreasing toward regions closer to the impact surface.

Transformation of metallo-elastomer grafts in a carotid artery interposition model over a year.

Current vascular grafts, primarily Gore-Tex® and Dacron®, don't integrate with the host and have low patency in small-diameter vessels (<6 mm). Biomaterials that possess appropriate viscoelasticity, compliance, and high biocompatibility are essential for their application in small blood vessels. We have developed metal ion crosslinked poly(propanediol-co-(hydroxyphenyl methylene)amino-propanediol sebacate) (M-PAS), a biodegradable elastomer with a wide range of mechanical properties. We call these materials metallo-elastomers. An initial test on Zn-, Fe-, and Cu-PAS grafts reveals that Cu-PAS is the most suitable because of its excellent elastic recoil and well-balanced polymer degradation/tissue regeneration rate. Here we report host remodeling of Cu-PAS vascular grafts in rats over one year. 76 % of the grafts remain patent and >90 % of the synthetic polymer is degraded by 12 months. Extensive cell infiltration leads to a positive host remodeling. The remodeled grafts feature a fully endothelialized lumen. Circumferentially organized smooth muscle cells, elastin fibers, and widespread mature collagen give the neoarteries mechanical properties similar to native arteries. Proteomic analysis further reveals the presence of important vascular proteins in the neoarteries. Evidence suggests that Cu-PAS is a promising material for engineering small blood vessels.

Paradigm shift in biomarker translation: a pipeline to generate clinical grade biomarker candidates from DIA-MS discovery.

Clinical biomarker development has been stymied by inaccurate protein quantification from mass spectrometry (MS) discovery data and a prolonged validation process. To mitigate these issues, we created the Targeted Extraction Assessment of Quantification (TEAQ) software package. This innovative tool uses the discovery cohort analysis to select precursors, peptides, and proteins that adhere to established targeted assay criteria. TEAQ was applied to Data-Independent Acquisition MS data from plasma samples acquired on an Orbitrap™ Astral™ MS. Identified precursors were evaluated for linearity, specificity, repeatability, reproducibility, and intra-protein correlation from 11-point loading curves under three throughputs, to develop a resource for clinical-grade targeted assays. From a clinical cohort of individuals with inflammatory bowel disease (n=492), TEAQ successfully identified 1116 signature peptides for 327 quantifiable proteins from 1180 identified proteins. Embedding stringent selection criteria adaptable to targeted assay development into the analysis of discovery data will streamline the transition to validation and clinical studies.

Four lathyrane diterpenoids from the seeds of Euphorbia lathyris.

Four new diterpenoids, including three secolathyrane diterpenoids (1-3) and one lathyrane diterpenoid (4), together with seven known diterpenoids, were obtained in the shelled seeds of Euphorbia lathyris. In particular, 1-3 possess a rare split ring structure, and currently only one compound with the same skeleton has been identified in E. lathyris. Compound 4 furnishes an unprecedented oxygen bridge structure. The structures were identified using various spectral techniques, including NMR, HR-ESI-MS, single-crystal X-ray diffraction and calculated electronic circular dichroism (ECD). The biosynthetic pathway of 1-4 was inferred. Furthermore, the cytotoxic activities of all compounds (1-11) were measured on three human tumor cells. New compounds 2 and 3 showed moderate cytotoxic activities against U937 cells with IC50 values of 22.18 and 25.41 µM, respectively.

Using the i-PARIHS theoretical framework to develop evidence implementation strategies for central venous catheter maintenance: a multi-site quality improvement project.

INTRODUCTION: Evidence-based nursing practice can reduce complications associated with central venous catheters (CVCs). In this project, the Integrated Promoting Action on Research Implementation in Health Services (i-PARIHS) framework was considered an ideal theoretical instrument to identify facilitators and barriers to implementing evidence-based practice. METHODS: The project was conducted in pediatric intensive care units in six Chinese tertiary children's hospitals. Twenty-two audit criteria were obtained from best practice recommendations, and a baseline audit was conducted to assess current practice against best practice. Next, the i-PARIHS framework was used to identify facilitators and barriers to best practice and develop improvement strategies. A follow-up audit was then conducted to measure changes in compliance with best practices. RESULTS: Facilitators and barriers were identified at the innovation, recipient, and context levels. A comprehensive CVC maintenance strategy was then developed to apply the best evidence to nurses' clinical work. Of the 22 audit criteria, 17 showed significant improvement compared with the baseline audit. CONCLUSIONS: The i-PARIHS framework is an effective tool for developing targeted, evidence-based improvement strategies and applying these to the clinical setting. The quality of the nurses' clinical practice improved during CVC maintenance. However, there is no certainty that these positive results can be maintained, and long-term data are needed to verify this. SPANISH ABSTRACT: http://links.lww.com/IJEBH/A185.

Extending the Grading of Recommendations Assessment, Development and Evaluation (GRADE) in Traditional Chinese Medicine (TCM): The GRADE-TCM.

AIM: To extend and form the "Grading of Recommendations Assessment, Development and Evaluation in Traditional Chinese Medicine" (GRADE-TCM). METHODS: Methodologies were systematically reviewed and analyzed concerning evidence-based TCM guidelines worldwide. A survey questionnaire was developed based on the literature review and open-end expert interviews. Then, we performed expert consensus, discussion meeting, opinion collection, external examination, and the GRADE-TCM was formed eventually. RESULTS: 265 Chinese and English TCM guidelines were included and analyzed. Five experts completed the open-end interviews. Ten methodological entries were summarized, screened and selected. One round of consensus was conducted, including a total of 22 experts and 220 valid questionnaire entries, concerning 1) selection of the GRADE, 2) GRADE-TCM upgrading criteria, 3) GRADE-TCM evaluation standard, 4) principles of consensus and recommendation, and 5) presentation of the GRADE-TCM and recommendation. Finally, consensus was reached on the above 10 entries, and the results were of high importance (with voting percentages ranging from 50 % to 81.82 % for "very important" rating) and strong reliability (with the Cr ranging from 0.93 to 0.99). Expert discussion meeting (with 40 experts), opinion collection (in two online platforms) and external examination (with 14 third-party experts) were conducted, and the GRADE-TCM was established eventually. CONCLUSION: GRADE-TCM provides a new extended evidence-based evaluation standard for TCM guidelines. In GRADE-TCM, international evidence-based norms, characteristics of TCM intervention, and inheritance of TCM culture were combined organically and followed. This is helpful for localization of the GRADE in TCM and internationalization of TCM guidelines.

What happens to the osteoporotic bone mesenchymal stem cells? Evidence from RNA sequencing.

Evidence presented that osteoporosis is closely related to the dysfunction of bone mesenchymal stem cells (BMSCs). But most studies are insufficient to reveal what actually happens to the osteoporotic BMSCs. In this study, BMSCs were harvested from ovariectomized and sham-operated rats. After checking the characteristics of rat models and stem cells, the BMSCs were carried out for RNA sequencing. Part of the findings were verified that seven mRNAs (Abi3bp, Aifm3, Ccl11, Cdkn1c, Chst10, Id2, Vcam1) were significantly up-regulated in osteoporotic BMSCs while seven mRNAs (Cep63, Fgfr3, Myc, Omd, Pou2f1, Smarcal1, Timm10b) were down-regulated. In addition, potential miRNA-mRNA and lncRNA-mRNA regulatory networks were illustrated. The changes in osteoporotic BMSCs covered a large set of biological processes, including cell viability, differentiation, immunoreaction, bone repairment and estrogen defect. This study enriched the pathophysiological mechanisms of BMSCs and osteporosis, as well as provided dozens of attractive RNA targets for further treatment.

Heart failure classification using deep learning to extract spatiotemporal features from ECG.

BACKGROUND: Heart failure is a syndrome with complex clinical manifestations. Due to increasing population aging, heart failure has become a major medical problem worldwide. In this study, we used the MIMIC-III public database to extract the temporal and spatial characteristics of electrocardiogram (ECG) signals from patients with heart failure. METHODS: We developed a NYHA functional classification model for heart failure based on a deep learning method. We introduced an integrating attention mechanism based on the CNN-LSTM-SE model, segmenting the ECG signal into 2 to 20 s long segments. Ablation experiments showed that the 12 s ECG signal segments could be used with the proposed deep learning model for superior classification of heart failure. RESULTS: The accuracy, positive predictive value, sensitivity, and specificity of the NYHA functional classification method were 99.09, 98.9855, 99.033, and 99.649%, respectively. CONCLUSIONS: The comprehensive performance of this model exceeds similar methods and can be used to assist in clinical medical diagnoses.

Biomimetic Synthesis and Chemical Proteomics Reveal the Mechanism of Action and Functional Targets of Phloroglucinol Meroterpenoids.

Natural products perennially serve as prolific sources of drug leads and chemical probes, fueling the development of numerous therapeutics. Despite their scarcity, natural products that modulate protein function through covalent interactions with lysine residues hold immense potential to unlock new therapeutic interventions and advance our understanding of the biological processes governed by these modifications. Phloroglucinol meroterpenoids constitute one of the most expansive classes of natural products, displaying a plethora of biological activities. However, their mechanism of action and cellular targets have, until now, remained elusive. In this study, we detail the concise biomimetic synthesis, computational mechanistic insights, physicochemical attributes, kinetic parameters, molecular mechanism of action, and functional cellular targets of several phloroglucinol meroterpenoids. We harness synthetic clickable analogues of natural products to probe their disparate proteome-wide reactivity and subcellular localization through in-gel fluorescence scanning and cell imaging. By implementing sample multiplexing and a redesigned lysine-targeting probe, we streamline a quantitative activity-based protein profiling, enabling the direct mapping of global reactivity and ligandability of proteinaceous lysines in human cells. Leveraging this framework, we identify numerous lysine-meroterpenoid interactions in breast cancer cells at tractable protein sites across diverse structural and functional classes, including those historically deemed undruggable. We validate that phloroglucinol meroterpenoids perturb biochemical functions through stereoselective and site-specific modification of lysines in proteins vital for breast cancer metabolism, including lipid signaling, mitochondrial respiration, and glycolysis. These findings underscore the broad potential of phloroglucinol meroterpenoids for targeting functional lysines in the human proteome.

Sequentially-Activated Antibodies Based on Programmable DNA Tags for Rapid Multiplexed Protein Imaging.

The achievement of rapid multiplexed protein imaging is limited by the use of stimulating reagents, extensive incubating and washing steps, and the low fluorescence intensity of targets. In this study, sequentially-activated DNA tags are developed and combined them with primary antibodies using signal enhancement strategies to create sequentially-activated antibodies (SAAs). These SAAs enable rapid, wash-free sequential imaging of different protein targets. The samples are pre-processed to label all targets of interest with SAAs simultaneously, and the signal is turned ON for only one target in each stage. The sequential imaging of multiple targets is achieved through wash-free strand displacement reactions that exhibit rapid kinetics with t1/2  < 10 s in a cellular context. Remarkably, this method successfully demonstrates sequential imaging of nine different protein targets within just a few minutes. This all-in-one platform for multiplexed protein imaging holds great promise for diverse applications in immunofluorescence imaging.

Phosphodiesterase in heart and vessels: from physiology to diseases.

Phosphodiesterases (PDEs) are a superfamily of enzymes that hydrolyze cyclic nucleotides, including cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP). Both cyclic nucleotides are critical secondary messengers in the neurohormonal regulation in the cardiovascular system. PDEs precisely control spatiotemporal subcellular distribution of cyclic nucleotides in a cell- and tissue-specific manner, playing critical roles in physiological responses to hormone stimulation in the heart and vessels. Dysregulation of PDEs has been linked to the development of several cardiovascular diseases, such as hypertension, aneurysm, atherosclerosis, arrhythmia, and heart failure. Targeting these enzymes has been proven effective in treating cardiovascular diseases and is an attractive and promising strategy for the development of new drugs. In this review, we discuss the current understanding of the complex regulation of PDE isoforms in cardiovascular function, highlighting the divergent and even opposing roles of PDE isoforms in different pathogenesis.

The incidence, indications, risk factors and pregnancy outcomes of peripartum hysterectomy at a tertiary hospital between 2013 and 2022.

OBJECTIVE: To analyze the incidence, indications, risk factors and pregnancy outcomes of postpartum hemorrhage resulting in peripartum hysterectomy (PH). METHODS: We retrospectively reviewed patients with postpartum hemorrhage requiring surgical procedures at ≥ 28 weeks of gestation from January 1, 2013 to December 31, 2022 at a tertiary hospital in Shanghai, China. The patients were divided into a PH group and a non-PH group. Maternal clinical characteristics, the management of postpartum hemorrhage, pregnancy outcomes were compared between groups. Logistic regression was used to analyze the correlations between risk factors and PH. RESULTS: The incidence of hysterectomy was 0.2/1000 deliveries (31/150194). The variables significantly associated with PH were placenta previa with placenta increta/percreta (OR36.26), uterine rupture (OR266.16) and an estimated blood loss ≥ 3513 mL (OR431.11). The proportion of cases involving hemorrhagic shock, disseminated intravascular coagulation, bladder injury, neonatal severe asphyxia, neonatal death and hypoxic-ischemic encephalopathy were significantly higher in the PH group (P < 0.05). CONCLUSION: The most common indications of PH were placental pathology. Efforts should be made to reduce the rate of cesarean deliveries and uterine curettage to lower the probability of abnormal placental invasion and appropriate medical indications for trial of labor after cesarean should be strictly followed to avoid the risk of uterine rupture.

Identification of novel biomarkers for the prediction of subclinical coronary artery atherosclerosis in patients with rheumatoid arthritis: an exploratory analysis.

BACKGROUND: Cardiovascular (CV) risk estimation calculators for the general population underperform in patients with rheumatoid arthritis (RA). The purpose of this study was to identify relevant protein biomarkers that could be added to traditional CV risk calculators to improve the capacity of coronary artery calcification (CAC) prediction in individuals with RA. In a second step, we quantify the improvement of this prediction of CAC when these circulating biomarkers are added to standard risk scores. METHODS: A panel of 141 serum and plasma proteins, which represent a broad base of both CV and RA biology, were evaluated and prioritized as candidate biomarkers. Of these, 39 proteins were selected and measured by commercial ELISA or quantitative mass spectroscopy in 561 individuals with RA in whom a measure of CAC and frozen sera were available. The patients were randomly split 50:50 into a training/validation cohort. Discrimination (using area under the receiver operator characteristic curves) and re-classification (through net reclassification improvement and integrated discrimination improvement calculation) analyses were performed first in the training cohort and replicated in the validation cohort, to estimate the increase in prediction accuracy for CAC using the ACA/AHA (American College of Cardiology and the American Heart Association) score with, compared to without, addition of these circulating biomarkers. RESULTS: The model containing ACC/AHA score plus cytokines (osteopontin, cartilage glycoprotein-39, cystatin C, and chemokine (C-C motif) ligand 18) and plus quantitative mass spectroscopy biomarkers (serpin D1, paraoxonase, and clusterin) had a statistically significant positive net reclassifications index and integrated discrimination improvement for the prediction of CAC, using ACC/AHA score without any biomarkers as the reference category. These results were confirmed in the validation cohort. CONCLUSION: In this exploratory analysis, the addition of several circulating CV and RA biomarkers to a standard CV risk calculator yielded significant improvements in discrimination and reclassification for the presence of CAC in individuals with RA.

[Retracted] Expression and function of PIM kinases in osteosarcoma.

Following the publication of this paper, it was drawn to the Editor's attention by a concerned reader that (in addition to overlapping data panels internally within the figure, suggesting that some of the data had been derived from the same original sources where the results of differently performed experiments were intended to have been portrayed) certain of the data featured in Fig. 5A on p. 2123 had already been published in another article written by different authors at different research institutes [Tian F, Ding D and Li D: Fangchinoline targets PI3K and suppresses PI3K/AKT signaling pathway in SGC7901 cells. Int J Oncol 46: 2355­2363, 2015]. Owing to the fact that the contentious data in the above article had already been published prior to its submission to International Journal of Oncology, the Editor has decided that this paper should be retracted from the Journal. The authors were asked for an explanation to account for these concerns, but the Editorial Office did not receive a reply. The Editor apologizes to the readership for any inconvenience caused. [International Journal of Oncology 49: 2116­2126, 2016; DOI: 10.3892/ijo.2016.3708].

Functional and structural analyses reveal that a dual domain sialidase protects bacteria from complement killing through desialylation of complement factors.

The complement system is the first line of innate immune defense against microbial infections. To survive in humans and cause infections, bacterial pathogens have developed sophisticated mechanisms to subvert the complement-mediated bactericidal activity. There are reports that sialidases, also known as neuraminidases, are implicated in bacterial complement resistance; however, its underlying molecular mechanism remains elusive. Several complement proteins (e.g., C1q, C4, and C5) and regulators (e.g., factor H and C4bp) are modified by various sialoglycans (glycans with terminal sialic acids), which are essential for their functions. This report provides both functional and structural evidence that bacterial sialidases can disarm the complement system via desialylating key complement proteins and regulators. The oral bacterium Porphyromonas gingivalis, a "keystone" pathogen of periodontitis, produces a dual domain sialidase (PG0352). Biochemical analyses reveal that PG0352 can desialylate human serum and complement factors and thus protect bacteria from serum killing. Structural analyses show that PG0352 contains a N-terminal carbohydrate-binding module (CBM) and a C-terminal sialidase domain that exhibits a canonical six-bladed ß-propeller sialidase fold with each blade composed of 3-4 antiparallel ß-strands. Follow-up functional studies show that PG0352 forms monomers and is active in a broad range of pH. While PG0352 can remove both N-acetylneuraminic acid (Neu5Ac) and N-glycolyl-neuraminic acid (Neu5Gc), it has a higher affinity to Neu5Ac, the most abundant sialic acid in humans. Structural and functional analyses further demonstrate that the CBM binds to carbohydrates and serum glycoproteins. The results shown in this report provide new insights into understanding the role of sialidases in bacterial virulence and open a new avenue to investigate the molecular mechanisms of bacterial complement resistance.

Highly accurate OAM mode detection network for ring Airy Gaussian vortex beams disturbed by atmospheric turbulence based on interferometry.

Atmospheric turbulence reduces the detection accuracy of orbital angular momentum (OAM) modes, which affects the performance of OAM optical communication. In this paper, we propose a method based on interferometry and a residual network (ResNet) to detect the OAM modes of ring Airy Gaussian vortex beams (RAGVBs) disturbed by atmospheric turbulence. The RAGVBs first interfere with spherical waves to obtain the sign features of the OAM modes, and then ResNet is employed to recognize OAM modes from the interferograms. The results demonstrate that the detection accuracy is higher than that of the OAM spectrum method under different turbulence strengths. The detection accuracy can even reach over 99% under strong fluctuations. Our research provides a reference for improving the performance of OAM optical communication through atmospheric turbulence.