Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

Background and Objectives: Heart failure is a potentially fatal event caused by diverse cardiovascular diseases, leading to high morbidity and mortality. Histone deacetylase (HDAC) inhibitors positively influence cardiac hypertrophy, fibrosis, hypertension, myocardial infarction, and heart failure, causing some side effects. We aimed to investigate the effect of the novel HDAC inhibitor YAK577 on the heart failure mouse model and its underlying mechanism. Methods: New hydroxamic acid YAK577 was prepared via methyl-2,3-diphenylpropanoate synthesis using carboxylic acids. We used a micro-osmotic pump, including isoproterenol (ISO; 80 mg/kg/day), to induce a heart failure with reduced ejection fraction. Cardiac hypertrophy was assessed by heart weight to body weight ratio and cross-sectional area.The left ventricular (LV) function was assessed by echocardiography. Fibrosis was evaluated using picrosirius red staining. Overexpression and knockdown experiments were performed to investigate the association between HDAC8 and matrix metalloproteinase 12 (MMP12). Results: YAK577 treatment restored ISO-induced reduction in LV fractional shortening and ejection fraction (n=9–11). YAK577 significantly downregulated cardiac hypertrophy marker genes (natriuretic peptide B, NPPB, and myosin heavy chain 7, MYH7) and cardiomyocyte size in vitro but not in vivo. YAK577 ameliorated cardiac fibrosis and fibrosis-related genes in vivo and in vitro. Additionally, YAK577 reduced elevated HDAC8 and MMP12 mRNA and protein expressions in ISO-infused mice, H9c2 cells, and rat neonatal cardiomyocytes.HDAC8 overexpression stimulated MMP12 and NPPB mRNA levels, while HDAC8 knockdown downregulated these genes. Conclusions YAK577 acts as a novel heart failure drug through the HDAC8/MMP12 pathway.

INTRODUCTION: The aim of this study was to elucidate the epidemiology and distribution of hand fractures in Singapore. METHODS: A total of 701 hand fractures in 596 patients aged 21 years and above from a single centre were reviewed from 2010 to 2011. Details regarding the patient demographics, occupation, mechanism of injury, associated injuries and treatment were obtained. RESULTS: Hand fractures were particularly significant in patients between the ages of 21 and 40 years 58.9% of the total cases. The relative risk of hand fractures in males was 5.5 times greater than that in females. The majority of hand fractures occurred at the workplace (47.7%), with crush injury being the main mechanism of injury (33.6%). The most common locations of hand fracture were the little finger ray (31.2%) and distal phalanges (37.7%). There were 170 cases that underwent surgical fixation, which accounted for 24.3% of all fractures. Fixation rate was similar for both closed and open fractures but was significantly higher in the proximal and middle phalanges compared to the distal phalanx and metacarpal ( P < 0.001). With regards to surgical fixation methods, wires were commonly used in either tuft fractures (100.0%) or intra-articular fractures (69.9%), whereas plates and screws were commonly used in shaft fractures (65.5%). CONCLUSION The most significant population that sustained hand fractures in Singapore are young to middle-aged males who are skilled manual workers. The most commonly involved ray and location of hand fractures are the little finger ray and the distal phalanges, respectively, as they are in a relatively more exposed location.
Humans ; Singapore/epidemiology* ; Male ; Female ; Adult ; Middle Aged ; Fractures, Bone/surgery* ; Hand Injuries/surgery* ; Young Adult ; Aged ; Hand Bones/injuries* ; Retrospective Studies ; Fracture Fixation, Internal

OBJECTIVE: Exposure to polycyclic aromatic hydrocarbons (PAHs) or metal(loid)s individually has been associated with neural tube defects (NTDs). However, the impacts of PAH and metal(loid) co-exposure and potential interaction effects on NTD risk remain unclear. We conducted a case-control study in China among population with a high prevalence of NTDs to investigate the combined effects of PAH and metal(loid) exposures on the risk of NTD. METHODS: Cases included 80 women who gave birth to offspring with NTDs, whereas controls were 50 women who delivered infants with no congenital malformations. We analyzed the levels of placental PAHs using gas chromatography and mass spectrometry, PAH-DNA adducts with ³²P-post-labeling method, and metal(loid)s with an inductively coupled plasma mass spectrometer. Unconditional logistic regression was employed to estimate the associations between individual exposures and NTDs. Least absolute shrinkage and selection operator (LASSO) penalized regression models were used to select a subset of exposures, while additive interaction models were used to identify interaction effects. RESULTS: In the single-exposure models, we found that eight PAHs, PAH-DNA adducts, and 28 metal(loid)s were associated with NTDs. Pyrene, selenium, molybdenum, cadmium, uranium, and rubidium were selected through LASSO regression and were statistically associated with NTDs in the multiple-exposure models. Women with high levels of pyrene and molybdenum or pyrene and selenium exhibited significantly increased risk of having offspring with NTDs, indicating that these combinations may have synergistic effects on the risk of NTDs. CONCLUSION Our findings suggest that individual PAHs and metal(loid)s, as well as their interactions, may be associated with the risk of NTDs, which warrants further investigation.
Humans ; Neural Tube Defects/chemically induced* ; Polycyclic Aromatic Hydrocarbons/adverse effects* ; Female ; Case-Control Studies ; China/epidemiology* ; Adult ; Pregnancy ; Environmental Pollutants ; Maternal Exposure/adverse effects* ; Metals/toxicity* ; Young Adult ; Risk Factors

Objective To investigate the influencing factors of grade 3-4 multiple myeloma bone disease(MBD)in newly diagnosed multiple myeloma(NDMM)patients,and establish a risk prediction model based on a nomogram.Methods A total of 261 patients with NDMM who were treated in Ningbo Medical Center Lihuili Hospital from January 2015 to December 2021 were retrospectively selected.The patients were divided into group A(MBD grade 0-2,110 cases)and group B(MBD grade 3-4,151 cases)according to MBD grade at the time of initial diagnosis.Logistic regression analysis was used to screen the risk factors for grade 3-4 MBD in NDMM patients,and the risk prediction model was constructed.The receiver operating characteristic(ROC)curve was used for comprehensive evaluation.Results Multivariate regression analysis showed that age,serum phosphorus,C-reactive protein(CRP),globulin(GLB)and bone marrow plasma cell percentage(BMPCp)were independent risk factors for grade 3-4 MBD in NDMM patients(P<0.05).Based on this,risk prediction model was constructed as follows:logit(P)=-15.092+0.107(age)+1.150(serum phosphorus)+0.057(CRP)+0.040(GLB)+0.212(BMPCp).There was no significant difference between the predicted probability and the actual incidence by the Hosmer-Lemeshow goodness of fit test(P=0.770).The accuracy of the model in predicting grade 3-4 MBD in NDMM patients was 90.40%,and the area under the curve was 0.957(95%CI:0.932-0.981),indicating a reliable prediction ability.Conclusion Age,serum phosphorus,CRP,GLB and BMPCp were all independent risk factors for grade 3-4 MBD in NDMM patients,and the constructed risk prediction model has a relatively good predictive effect on the occurrence of grade 3-4 MBD in NDMM patients.

AIM To establish LC-MS and GC-MS method and analyze the chemical constituents of Dendrobium huoshanense C.Z.Tang & S.J.Cheng flowers.METHODS LC-MS was performed on a Zorbax Eclipse C18 column(2.1 mm×100 mm,1.8 μm),with the mobile phase comprising of water(containing 0.1％formic acid)-acetonitrile flowing at 0.3 mL/min,and electrospray ionization was operated in both positive and negative ion modes.The GC-MS employed headspace solid-phase microextraction for sample preparation,and the analysis was performed on an HP-5MS column(30 m×0.25 mm,0.25 μm),with the following temperature program:initial temperature 50 ℃(held for 2 min),increased at 5 ℃/min to 180 ℃(held for 5 min),then raised at 10 ℃/min to 250 ℃(held for 5 min),and electron impact ion source was employed.RESULTS A total of 62 compounds were identified by LC-MS,including 35 flavonoids,4 coumarins,6 alkaloids,6 terpenoids,3 amino acids,2 polyphenols,2 ketones and 4 others.A total of 101 volatile components were identified by GC-MS,including ketones,aldehydes,alcohols,esters,ethers,and acid.CONCLUSION This method can comprehensively analyze the chemical constituents of D.huoshanense flowers,and provide a scientific basis for elucidating its pharmacodynamic material basis.

Nonunion of osteoporotic vertebral fractures (OVF), predominantly affecting the elderly, can lead to intractable pain, vertebral collapse, progressive kyphotic deformity, and neurological impairment, significantly compromising patients′ quality of life. There exists considerable debate on diagnosis and management of OVF, encompassing key issues such as clinical diagnosis and staging criteria for nonunion, surgical indications and procedure selection, and postoperative rehabilitation planning. Currently, there lacks standardized clinical guideline and expert consensus on the diagnosis and management of OVF nonunion in China. To address this gap, Minimally Invasive Surgery Group of Chinese Orthopedic Association, Osteoporosis Committee of Chinese Association of Orthopedic Surgeons, Prevention and Rehabilitation Committee for Osteoporosis of Chinese Association of Rehabilitation Medicine and Minimally Invasive Orthopedic Surgery Branch of China Association for Geriatric Care jointly organized domestic experts in spinal surgery, endocrinology, and rehabilitation to formulate the Clinical guideline for the diagnosis and treatment for nonunion of osteoporotic vertebral fractures ( version 2025), based on existing literature and clinical experience and adhering to principles of scientific rigor and practicality. The guideline provided 13 evidence-based recommendations encompassing diagnosis and treatment of OVF nonunion, aiming to standardize its clinical management.

Objective:To quantify thoracic and abdominal movements during breathing using inertial measurement units (IMUs) and to build a machine learning model which identifies the abdominal breathing (AB) pattern.Methods:Ten rehabilitation therapists formed the study′s professional group, while 15 patients receiving AB training comprised the validation group. Two synchronized IMUs were applied to capture breathing motions during natural breathing (NB), deep breathing (DB) and AB. Six kinematic features were extracted from each respiratory cycle, and inter-group and inter-pattern differences were analyzed. Correlation analysis was also performed with manually measured changes in thoracic and abdominal circumferences. A support vector classification model for AB pattern detection was then developed using data from the professional and validation groups.Results:A total of 1113 respiratory cycles were extracted and analyzed. The breathing pattern significantly influenced all of the kinematic features studied (0.21≤partial η 2≤0.65, all P≤0.001). The ranges of the angles in medial-lateral axis of the IMUs showed strong correlation with the changes in abdominal and thoracic circumferences (ρ1=0.928, ρ2=0.807, P≤0.001 in both cases). A greater range of abdominal angles was found during AB compared to the other patterns. The best of the models achieved an F1 score of 0.970 (sensitivity: 0.983, specificity: 0.980) in validation. Conclusions:AB generates the greatest abdominal movement. Combining IMUs and machine learning can provide real-time quantification of chest movement and accurate detection of AB during breathing training.

Aim To investigate the preventive and therapeutic effect of crocetin(Cro)on acute intestinal injury induced by radiation(RT)and its related mech-anism.Methods Forty mice were randomly divided into four groups:control group,radiation group(RT group),low-dose Cro intervention group(RT+Low-dose Cro group)and high-dose Cro intervention group(RT+High-dose Cro group).The RT group was given a single dose of 12Gy radiation to the abdomen.The Cro intervention group was treated with 25 mg·kg-1 and 100 mg·kg-1 Cro by gavage once a day before ra-diation until seven days after radiation.The mice in each group were weighed.The morphology of intestinal tissue was observed by HE staining.The levels of in-testinal inflammatory factors and oxidative stress were detected.The expressions of Lgr5,Ki67,lysozyme,ZO-1 and Occludin in small intestine tissuewere detected by immunohistochemistry.The expressions of Nrf2/HO-1 and NF-κB signaling related proteinswere detected by Western blot.Results Compared to the control group,mice in the RT group exhibited a significant decrease in body weight(P＜0.01).Additionally,they dis-played evident morphological damage to the small in-testine and elevated levels of pro-inflammatory factors(TNF-α,IL-6)as well as oxidative stress markers(in-creased ROS and MDA levels,decreased GSH and SOD activities)(P＜0.01).Moreover,there was an in-crease in Lgr5 and Ki67 positive cells within the crypts(P＜0.01).The expressions of Occludin,lysozyme,ZO-1,and HO-1 were reduced in small intestine while Nrf2,p-p65,and p-IκB expressions increased(P＜0.01).The improvements in the Cro group were sig-nificantly greater than the RT group(P＜0.01),with a more pronounced effect observed in the high-dose group.Conclusions Cro has a preventive and thera-peutic effect on radiation-induced intestinal injury,and its mechanism is related to anti-inflammation,anti-oxi-dation,improvement of intestinal barrier function,pro-motion of intestinal stem cell regeneration,enhance-ment of Nrf2/HO-1 signaling and reduction of NF-κB signaling activity.

ObjectiveIn the realm of forensic science, dust is a valuable type of trace evidence with immense potential for intricate investigations. With the development of DNA sequencing technologies, there is a heightened interest among researchers in unraveling the complex tapestry of microbial communities found within dust samples. Furthermore, striking disparities in the microbial community composition have been noted among dust samples from diverse geographical regions, heralding new possibilities for geographical inference based on microbial DNA analysis. The pivotal role of microbial community data from dust in geographical inference is significant, underscoring its critical importance within the field of forensic science. This study aims to delve deeply into the nuances of fungal community composition across the urban landscapes of Beijing, Fuzhou, Kunming, and Urumqi in China. It evaluates the accuracy of biogeographic inference facilitated by the internal transcribed spacer 2 (ITS2) fungal sequencing while concurrently laying a robust foundation for the operational integration of environmental DNA into geographical inference mechanisms. MethodsITS2 region of the fungal genomes was amplified using universal primers known as 5.8S-Fun/ITS4-Fun, and the resulting DNA fragments were sequenced on the Illumina MiSeq FGx platform. Non-metric multidimensional scaling analysis (NMDS) was employed to visually represent the differences between samples, while analysis of similarities (ANOSIM) and permutational multivariate analysis of variance (PERMANOVA) were utilized to statistically evaluate the dissimilarities in community composition across samples. Furthermore, using Linear Discriminant Analysis Effect Size (LEfSe) analysis to identify and filter out species that exhibit significant differences between various cities. In addition, we leveraged SourceTracker to predict the geographic origins of the dust samples. ResultsAmong the four cities of Beijing, Fuzhou, Kunming and Urumqi, Beijing has the highest species richness. The results of species annotation showed that there were significant differences in the species composition and relative abundance of fungal communities in the four cities. NMDS analysis revealed distinct clustering patterns of samples based on their biogeographic origins in multidimensional space. Samples from the same city exhibited clear clustering, while samples from different cities showed separation along the first axis. The results from ANOSIM and PERMANOVA confirmed the significant differences in fungal community composition between the four cities, with the most pronounced distinctions observed between Fuzhou and Urumqi. Notably, the biogeographic origins of all known dust samples were successfully predicted. ConclusionSignificant differences are observed in the fungal species composition and relative abundance among the cities of Beijing, Fuzhou, Kunming, and Urumqi. Employing fungal ITS2 sequencing on dust samples from these urban areas enables accurate inference of biogeographical locations. The high feasibility of utilizing fungal community data in dust for biogeographical inferences holds particular promise in the field of forensic science.