Background Work-related musculoskeletal disorders (WMSDs) are a major occupational health concern, particularly among workers exposed to adverse ergonomic conditions. Manganese production involves heavy physical demands, yet research on WMSDs among manganese workers remains limited. Objective To investigate the prevalence and influencing factors of WMSDs among manganese workers in a manganese enterprise in Guangxi. Methods A cross-sectional survey was conducted from May to June 2024 on workers at a manganese factory in Guangxi. The Chinese Musculoskeletal Disorders Questionnaire was used to collect information on demographic characteristics, distribution of musculoskeletal symptoms, and work-related exposures. χ² test was applied to compare differences in positive WMSDs rates across groups, and logistic regression analysis was performed to identify associated factors. Results A total of 1476 workers were enrolled in the study after pre-determined inclusion and exclusion criteria. The overall prevalence of WMSDs was 34.15%. The most commonly affected body regions were the lower back (17.28%), neck (16.67%), and shoulders (13.82%). The results of logistic regression analysis indicated that female, older age, and education level of college or above were associated with a higher risk of WMSDs (P<0.05). Awkward working postures were significantly associated with WMSDs in corresponding body regions; in particular, awkward postures of the neck, upper limbs, trunk, and lower limbs were related to an increased risk of WMSDs in multiple body sites (P<0.05). In addition, poor lighting conditions, high workplace temperature, frequent or sustained arm support during work, and high job demands were associated with an increased risk of overall or site-specific WMSDs (P<0.05). Conclusion The high prevalence of WMSDs among manganese workers is closely associated with demographic characteristics, working postures, and work environment and organizational factors. Targeted ergonomic interventions focusing on high-risk body regions and key ergonomic exposures are warranted to reduce the risk of WMSDs among manganese workers.

The strategy of pelvic lymph node dissection in patients with localized intermediate- and high-risk prostate cancer（PCa）has been one of the research hotspots in recent years. This review synthesizes recent progress in clinical，diagnostic imaging and immunological aspects of pelvic lymph node dissection.It is found that the detection rate of metastatic lymph nodes in patients with localized intermediate-risk PCa is relatively low，and the survival benefit after dissection is not significant. PSMA PET/CT examination can be used instead of lymph node dissection for staging. Extended lymph node dissection in patients with localized high-risk PCa can achieve a higher detection rate of metastatic lymph nodes and possible survival benefits. However，excessive lymph node dissection can weaken the response ability to immunotherapy. The strategy for pelvic lymph node dissection in patients with localized intermediate-high-risk PCa needs further study.

Protein tyrosine phosphatase nonreceptor type 2 (PTPN2) is a promising target for sensitizing solid tumors to immune checkpoint blockades. However, the highly polar active sites of PTPN2 hinder drug discovery efforts. Leveraging small interfering RNA (siRNA) technology, we developed a novel glutathione-responsive nano-platform HPssPT (HA/PEIss@siPtpn2) to silence PTPN2 and enhance immunotherapy efficacy in hepatocellular carcinoma (HCC). HPssPT showed potent transfection and favorable safety profiles. PTPN2 deficiency induced by HPssPT amplified the interferon γ signaling in HCC cells by increasing the phosphorylation of Janus-activated kinase 1 and signal transducer and activator of transcription 1, resulting in enhanced antigen presentation and T cell activation. The nano-platform was also able to promote the M1-like polarization of macrophages in vitro. The unique tropism of HPssPT towards tumor-associated macrophages, facilitated by hyaluronic acid coating and CD44 receptor targeting, allowed for simultaneous reprogramming of both tumor cells and tumor-associated macrophages, thereby synergistically reshaping tumor microenvironment to an immunostimulatory state. In HCC, colorectal cancer, and melanoma animal models, HPssPT monotherapy provoked robust antitumor immunity, thereby sensitizing tumors to PD-1 blockade, which provided new inspiration for siRNA-based drug discovery and tumor immunotherapy.

JMJD1C (Jumonji Domain Containing 1C), a member of the lysine demethylase 3 (KDM3) family, is universally required for the survival of several types of acute myeloid leukemia (AML) cells with different genetic mutations, representing a therapeutic opportunity with broad application. Yet how JMJD1C regulates the leukemic programs of various AML cells is largely unexplored. Here we show that JMJD1C interacts with the master hematopoietic transcription factor RUNX1, which thereby recruits JMJD1C to the genome to facilitate a RUNX1-driven transcriptional program that supports leukemic cell survival. The underlying mechanism hinges on the long N-terminal disordered region of JMJD1C, which harbors two inseparable abilities: condensate formation and direct interaction with RUNX1. This dual capability of JMJD1C may influence enhancer-promoter contacts crucial for the expression of key leukemic genes regulated by RUNX1. Our findings demonstrate a previously unappreciated role for the non-catalytic function of JMJD1C in transcriptional regulation, underlying a mechanism shared by different types of leukemias.
Core Binding Factor Alpha 2 Subunit/genetics* ; Humans ; Leukemia, Myeloid, Acute/pathology* ; Jumonji Domain-Containing Histone Demethylases/chemistry* ; Gene Expression Regulation, Leukemic ; Oxidoreductases, N-Demethylating/genetics* ; Cell Line, Tumor

Objective:To study the inhibitory effects and mechanism of Armeniacae Semen Amarum alcohol extract in melanogenesis in zebrafish embryos.Methods:48 HPF healthy zebrafish embryos were randomly divided into blank control group, arbutin group, high-, medium- and low-dosage groups. The blank control group was added with 6 ml embryo culture medium, the arbutin group was added with 8 000 μg/ml arbutin solution 6 ml, and the high-, medium- and low-dosage groups were added with 2 925, 1 950 and 1 300 μg/ml Armeniacae Semen Amarum alcohol extract, respectively. After 24 hours of intervention, the melanin area of zebrafish embryos was observed by stereomicroscope, and the inhibition rate of ethanol extract of bitter almond on tyrosinase (TYR) activity and melanin content in zebrafish embryos were detected by spectrophotometry; the antioxidant activity was evaluated by DPPH radical scavenging capacity, ABTS radical scavenging capacity and CAT activity. RT-qPCR was used to detect the mRNA levels of MITF, Tyr and TYRP2 in zebrafish embryos.Results:Compared with the arbutin group, the low-, medium-, and high-dosage groups showed an increase in melanin area ( P<0.01 or P<0.05), a decrease in TYR activity and melanin content inhibition rate ( P<0.01), and IC50 values for DPPH and ABTS free radical scavenging rates of 23.636 and 3.195 mg/ml, respectively. The CAT activity increased in the medium- and high-dosage groups ( P<0.05 or P<0.01), while the mRNA levels of TYR and MITF decreased in the low-, medium-, and high-dosage groups ( P<0.01). Conclusion:Armeniacae Semen Amarum alcohol extract can effectively inhibit the production of melanin in zebrafish embryos, and its mechanism may be closely related to TYR activity and MITF related signaling pathway.

The strategy of pelvic lymph node dissection in patients with localized intermediate- and high-risk prostate cancer（PCa）has been one of the research hotspots in recent years. This review synthesizes recent progress in clinical，diagnostic imaging and immunological aspects of pelvic lymph node dissection.It is found that the detection rate of metastatic lymph nodes in patients with localized intermediate-risk PCa is relatively low，and the survival benefit after dissection is not significant. PSMA PET/CT examination can be used instead of lymph node dissection for staging. Extended lymph node dissection in patients with localized high-risk PCa can achieve a higher detection rate of metastatic lymph nodes and possible survival benefits. However，excessive lymph node dissection can weaken the response ability to immunotherapy. The strategy for pelvic lymph node dissection in patients with localized intermediate-high-risk PCa needs further study.

Objective:To study on anti-osteoporosis effect of different extracts of Polygoni Multiflori Radix Praeparata on zebrafish.Methods:Three kinds extracts of Polygoni Multiflori Radix Praeparata, anthraquinone and stilbene glycosides and the removal of anthraquinone and stilbene glycosides were prepared. Prednisolone was used to construct the osteoporosis model of young zebrafish. Normal control group, model group, disodium etidronate group and low-, medium- and high-dosage groups of different extracts of Polygoni Multiflori Radix Praeparata were set up. Alizarin red staining was used to investigate the mineralized skull area and bone density of juvenile zebrafish in each group. Alkaline phosphatase (AKP) and tartrate-resistant acid phosphatase (TRACP) kits were used to detect the activity of osteoblast and osteoclast enzymes in zebra larvae. The qRT PCR method was used to detect the mRNA expressions of osteoporosis related genes Runx2b, col1a2, sparc, and vdrb in each group of zebrafish.Results:Compared with model group, the skull mineralized area and bone mineral density in different extracts of Polygoni Multiflori Radix Praeparata significantly increased ( P<0.01). Polygoni Multiflori Radix Praeparata, anthraquinone and stilbene glycosides and the removal of anthraquinone and stilbene glycosides (medium- and high-dosage) could significantly increase the AKP activity of zebrafish ( P<0.01), and lower the TRAP activity of zebrafish ( P<0.01); the mRNA expression levels of Runx2b, col1a2, sparc and vdrb in juvenile zebrafish osteoporosis model were significantly up-regulated by different extracts of Polygoni Multiflori Radix Praeparata. ( P<0.01). Conclusion:Polygoni Multiflori Radix Praeparata, Anthraquinone and stilbene glycosides and the removal of anthraquinone and stilbene glycosides show better anti-osteoporosis effects. The comparison of the efficacy of three extracts from Polygonum multiflorum shows that in addition to anthraquinone and stilbene glycosides, other chemical components of Polygonum multiflorum have anti-osteoporosis effects.

Galectin-9 （Gal-9） is a member of the galectin family that can specifically recognize and bind to galactosides. Recent studies have shown that Gal-9 is highly expressed in the liver and can help to maintain intrahepatic immune homeostasis and perform biological functions in various liver diseases. This article reviews the immunomodulatory functions of Gal-9 and its role in different liver diseases. Studies have shown that Gal-9 has important biological functions in different liver diseases through multiple pathways. Research on the specific immunomodulatory mechanisms and functions of Gal-9 may help to discover the therapeutic role of Gal-9 in liver diseases.

【Objective】 To statistically analyze the relationship between homologous recombination repair deficiency (HRD) score and clinicopathological characteristics, genomic mutations in patients with high-risk and metastatic hormone-sensitive prostate cancer (mHSPC) and the prognostic predictive value in mHSPC. 【Methods】 A total of 127 patients diagnosed with high-risk prostate cancer and mHSPC, treated at the Department of Urology of Chinese PLA General Hospital during Dec.2021 and Nov.2023 were enrolled.Homologous recombination repair (HRR) gene sequencing was performed, and the genomic scar score (GSS) algorithm were conducted to calculate the HRD score.The relationship between HRD scores and clinicopathological features, genomic alterations, and prognosis were analyzed. 【Results】 The median HRD score was 1.6(0.8, 5.2), 30(23.6%) patients’ HRD scores ≥10, and 11(8.7%) patients’ HRD scores ≥20.Clinicopathological features, including ISUP classification ≥4 (P=0.044) and metastatic status (P=0.008) were associated with high HRD score.Patients with mutations in the BRCA, TP53 and MYC systems had significantly higher HRD score than those with wild-type genes (P<0.05).In mHSPC, the risk of biochemical recurrence was 12.836 times higher in patients with HRD score ≥20 than in those with <20 [OR:12.836 (1.332-124.623), P=0.028]. 【Conclusion】 Baseline HRD score was lower in patients with high-risk prostate cancer and mHSPC.Patients with high HRD score may have higher histological grading (ISUP≥4) and later clinical stage.Further investigation is needed to determine the threshold of HRD scores as biochemical markers suggestive of a poor prognosis.

Objective To propose a classification method for ultrasound images of pedicle screw canals based on radiomics analysis,and to evaluate the integrity of the screw canal.Methods With thoracolumbar spine specimens from 4 fresh cadavers,50 pedicle screw canals were pre-established and ultrasound images of the canals were acquired.A total of 2 000 images(1 000 intact and 1 000 damaged canal samples)were selected.The dataset was randomly divided in a 4∶1 ratio using 5-fold cross-validation to form training and testing sets(consisting of 1 600 and 400 samples,respectively).Firstly,the optimal radius of the region of interest was identified using the Otsu's thresholding method,followed by feature extraction using pyradiomics.Principal component analysis and the least absolute shrinkage and selection operator algorithm were employed for dimensionality reduction and feature selection,respectively.Subsequently,3 machine learning models(support vector machine[SVM],logistic regression,and random forest)and 3 deep learning models(visual geometry group[VGG],ResNet,and Transformer)were used to classify the ultrasound images.The performance of each model was evaluated using accuracy.Results With a region of interest radius of 230 pixels,the SVM model achieved the highest classification accuracy of 96.25%.The accuracy of the VGG model was only 51.29%,while the accuracies of the logistic regression,random forest,ResNet,and Transformer models were 85.50%,80.75%,80.17%,and 75.18%,respectively.Conclusion For ultrasound images of pedicle screw canals,the machine learning model performs better than the deep learning model as a whole,and the SVM model has the best classification performance,which can be used to assist physicians in diagnosis.