Chinese herbal medicine alleviates autophagy and apoptosis in ovarian granulosa cells induced by testosterone through PI3K/AKT1/FOXO1 pathway.

ETHNOPHARMACOLOGICAL RELEVANCE: Polycystic ovary syndrome (PCOS) is a common gynecological endocrine and metabolic disorder. Chinese herbal medicine has some advantages in the treatment of PCOS with its unique theoretical system and rich clinical practice experiences. AIM OF THE STUDY: The present study was to investigate the potential mechanisms of Bu-Shen-Jian-Pi Formula (BSJPF) on the treatment of PCOS. MATERIAL AND METHODS: The combination of ultra-performance liquid chromatography-quadrupole time-of-flight mass spectrometry (UPLC/Q-TOF-MS/MS) rapid analysis, network pharmacology, molecular docking analysis and bio-experiments were firstly conducted to identify the main effective components of BSJPF, and to predict the potential mechanisms. The ovarian granulosa cell line (KGN) was treated with testosterone to construct the PCOS model in vitro, and the cells were further treated with the lyophilized powder of BSJPF. The levels of proliferation, autophagy and apoptosis were detected to explore the mechanisms of BSJPF on treating PCOS. RESULTS: Firstly, thirty-six active compounds were identified in BSJPF and thirty-one potential targets on PCOS were found. Then, PI3K and PDK1 were verified to have good binding activity with the active compounds through molecular docking analysis. In bio-experiments, BSJPF significantly alleviated the arrested proliferation of KGN cells in G0/G1 phase and reduced the active levels of autophagy and apoptosis of KGN cells induced by testosterone. Additionally, the inhibition of autophagy diminished apoptosis, while the repression apoptosis enhanced autophagy. Finally, BSJPF significantly decreased the FOXO1 expression levels induced by testosterone, especially for nuclear FOXO1, and significantly activated the PI3K/AKT pathway. CONCLUSIONS: BSJPF significantly alleviated the activated autophagy and apoptosis in KGN induced by testosterone through PI3K/AKT1/FOXO1pathway, which is an effective treatment for PCOS.

Loss of GATA6-mediated up-regulation of UTX promotes pancreatic tumorigenesis and progression.

Ubiquitously transcribed tetratricopeptide repeat on chromosome X (UTX), also known as lysine (K)-specific demethylase 6A (KDM6A), functions as a tumor suppressor gene or oncogene depending on the tumor type and context. However, its tumor-suppressive mechanisms remain largely unknown. Here, we investigated the clinical significance and biological effects of UTX expression in pancreatic ductal adenocarcinoma (PDA) and determined the potential mechanisms of its dysregulation. UTX expression and its association with clinicopathologic characteristics of PDA patients were analyzed using immunohistochemistry. UTX mRNA and protein expression and their regulation in PDA cell lines were measured using quantitative polymerase chain reaction and Western blot analyses. The biological functions of UTX in PDA cell growth, migration, and invasion were determined using gain- and loss-of-function assays with both in vitro and in vivo animal models. UTX expression was reduced in human PDA cell lines and specimens. Low UTX expression was associated with poor differentiation and prognosis in PDA. Forced UTX expression inhibited PDA proliferation, migration, and invasion in vitro and PDA growth and metastasis in vivo, whereas knockdown of UTX expression did the opposite. Mechanistically, UTX expression was trans-activated by GATA6 activation. GATA6-mediated PDA progression could be blocked, at least partially, by silencing UTX expression. In conclusion, loss of GATA6-mediated UTX expression was evident in human PDA and restored UTX expression suppressed PDA growth and metastasis. Thus, UTX is a tumor suppressor in PDA and may serve as a prognostic biomarker and therapeutic target.

Qingre Qushi formula suppresses atopic dermatitis via a multi-target mechanism.

ETHNOPHARMACOLOGICAL RELEVANCE: Our previous studies have shown that the Qingre Qushi (QRQS) formula can treat atopic dermatitis (AD), and its possible mechanism is related to the regulation of the IL-33/ST2 signaling pathway. However, the molecular mechanism of AD is complex, and various AD subtypes respond better to therapies aimed at distinct targets. AIM OF THE STUDY: This study aimed to investigate the multi-target mechanism of QRQS using experimental and network pharmacology studies. MATERIALS AND METHODS: Flaky tail (FT) mice were treated with different concentrations of QRQS and cetirizine. The dermatitis score, scratching frequency, and histological evaluation were normatively evaluated. The levels of IgE and IgG1 in serum were tested using ELISAs. Using ELISA and RT-PCR, the expression of associated cytokines was determined. IL-17A-stimulated HaCaT cells were treated with QRQS to assess mRNA and protein expression. To elucidate the mechanism, a network pharmacology analysis based on active components derived from UPLC was conducted. Through molecular docking, we evaluated the binding affinity between the active constituents of QRQS and potential targets. RESULTS: Using UPLC, 177 active ingredients in QRQS were identified. Network pharmacology analysis showed that the anti-AD effect of the active ingredients was related to the IL-17 signaling pathway and its related targets. FT mice are characterized by Th17-dominated immune disorders. QRQS ameliorated AD-like symptoms and decreased dermatitis scores and scratching frequencies. After QRQS treatment, IL-17A expression was inhibited and IL-17 pathway-associated cytokines were downregulated. Along with changes in Th17-differentiation, QRQS suppressed the expression of IL-4, IL-13, and TNF-α. QRQS also decreased the expression of IL-6, IL-8, and COX-2 in HaCaT cells exposed to IL-17A. The anti-AD active doses are 3.86 g/kg/day in vivo and 100 µg/mL in vitro. CONCLUSION: QRQS has a multi-target immunoregulatory effect on AD and can improve the Th17-dominated inflammatory response by regulating the IL-17A signaling pathway. Quercetin, genistein, luteolin, and kaempferol are potential active ingredients.

Cell-in-Cell-Mediated Entosis Reveals A Progressive Mechanism in Pancreatic Cancer.

BACKGROUND & AIMS: Pancreatic ductal adenocarcinoma (PDAC) is a deadly malignancy with high intratumoral heterogeneity. There is a lack of effective therapeutics for PDAC. Entosis, a form of nonapoptotic regulated cell death mediated by cell-in-cell structures (CICs), has been reported in multiple cancers. However, the role of entosis in PDAC progression remains unclear. METHODS: We evaluated CICs using immunohistochemistry and immunofluorescence staining. The formation of CICs was induced by suspension culture. Through fluorescence-activated cell sorting and single-cell RNA sequencing (scRNA-seq), we collected entosis-forming cells and analyzed their differential gene expression. Cell functional assays and mouse models were used to investigate malignant phenotypes. Clinical correlations between entosis and PDAC were established by retrospective analysis. RESULTS: Entosis was associated with an unfavorable PDAC patient prognosis and was more prevalent in liver metastases than in primary tumors. The scRNA-seq results revealed that several oncogenes were upregulated in entosis-forming cells compared with parental cells. These highly entotic cells demonstrated higher oncogenic characteristics in vitro and in vivo. NET1, neuroepithelial cell transforming gene 1, is an entosis-related gene that plays a pivotal role in PDAC progression and is correlated with poor outcomes. CONCLUSIONS: Entosis is correlated with PDAC progression, especially in liver metastasis. NET1 is a newly validated entosis-related gene and a molecular marker of poor outcomes. PDAC cells generate a highly aggressive subpopulation marked by upregulated NET1 via entosis, which may drive PDAC progression.

Deep learning-based fast denoising of Monte Carlo dose calculation in carbon ion radiotherapy.

BACKGROUND: Plan verification is one of the important steps of quality assurance (QA) in carbon ion radiotherapy. Conventional methods of plan verification are based on phantom measurement, which is labor-intensive and time-consuming. Although the plan verification method based on Monte Carlo (MC) simulation provides a more accurate modeling of the physics, it is also time-consuming when simulating with a large number of particles. Therefore, how to ensure the accuracy of simulation results while reducing simulation time is the current difficulty and focus. PURPOSE: The purpose of this work was to evaluate the feasibility of using deep learning-based MC denoising method to accelerate carbon-ion radiotherapy plan verification. METHODS: Three models, including CycleGAN, 3DUNet and GhostUNet with Ghost module, were used to denoise the 1 × 106 carbon ions-based MC dose distribution to the accuracy of 1 × 108 carbon ions-based dose distribution. The CycleGAN's generator, 3DUNet and GhostUNet were all derived from the 3DUNet network. A total of 59 cases including 29 patients with head-and-neck cancers and 30 patients with lung cancers were collected, and 48 cases were randomly selected as the training set of the CycleGAN network and six cases as the test set. For the 3DUNet and GhostUNet models, the numbers of training set, validation set, and test set were 47, 6, and 6, respectively. Finally, the three models were evaluated qualitatively and quantitatively using RMSE and three-dimensional gamma analysis (3 mm, 3%). RESULTS: The three end-to-end trained models could be used for denoising the 1 × 106 carbon ions-based dose distribution, and their generalization was proved. The GhostUNet obtained the lowest RMSE value of 0.075, indicating the smallest difference between its denoised and 1 × 108 carbon ions-based dose distributions. The average gamma passing rate (GPR) between the GhostUNet denoising-based versus 1 × 108 carbon ions-based dose distributions was 99.1%, higher than that of the CycleGAN at 94.3% and the 3DUNet at 96.2%. Among the three models, the GhostUNet model had the fewest parameters (4.27 million) and the shortest training time (99 s per epoch) but achieved the best denoising results. CONCLUSION: The end-to-end deep network GhostUNet outperforms the CycleGAN, 3DUNet models in denoising MC dose distributions for carbon ion radiotherapy. The network requires less than 5 s to denoise a sample of MC simulation with few particles to obtain a qualitative and quantitative result comparable to the dose distribution simulated by MC with relatively large number particles, offering a significant reduction in computation time.

Highly Selective Cyclization and Isomerization of Propargylamines to Access Functionalized Quinolines and 1-Azadienes.

Developing new organic reactions with excellent atom economy and high selectivity is significant and urgent. Herein, by ingeniously regulating the reaction conditions, highly selective transformations of propargylamines have been successfully implemented. The palladium-catalyzed cyclization of propargylamines generates a series of functionalized quinoline heterocycles, while the base-promoted isomerization of propargylamines affords diverse 1-azadienes. Both reactions have good functional group tolerance, mild conditions, excellent atom economy and high yields of up to 93%. More importantly, these quinoline heterocycles and 1-azadienes could be flexibly transformed into valuable compounds, illustrating the validity and practicability of the propargylamine-based highly selective reactions.

Multi-Omics Revealed Peanut Root Metabolism Regulated by Exogenous Calcium under Salt Stress.

High salinity severely inhibits plant seedling root development and metabolism. Although plant salt tolerance can be improved by exogenous calcium supplementation, the metabolism molecular mechanisms involved remain unclear. In this study, we integrated three types of omics data (transcriptome, metabolome, and phytohormone absolute quantification) to analyze the metabolic profiles of peanut seedling roots as regulated by exogenous calcium under salt stress. (1) exogenous calcium supplementation enhanced the allocation of carbohydrates to the TCA cycle and plant cell wall biosynthesis rather than the shikimate pathway influenced by up-regulating the gene expression of antioxidant enzymes under salt stress; (2) exogenous calcium induced further ABA accumulation under salt stress by up-regulating the gene expression of ABA biosynthesis key enzymes AAO2 and AAO3 while down-regulating ABA glycosylation enzyme UGT71C5 expression; (3) exogenous calcium supplementation under salt stress restored the trans-zeatin absolute content to unstressed levels while inhibiting the root cis-zeatin biosynthesis.

Experimental and Simulation Study on Welding Characteristics and Parameters of Gas Metal Arc Welding for Q345qD Thick-Plate Steel.

The welding and construction processes for H-type thick-plate bridge steel involve complex multi-pass welding processes, which make it difficult to ensure its welding performance. Accordingly, it is crucial to explore the inherent correlations between the welding process parameters and welding quality, and apply them to welding robots, eliminating the instability in manual welding. In order to improve welding quality, the GMAW (gas metal arc welding) welding process parameters are simulated, using the Q345qD bridge steel flat joint model. Four welds with X-shaped grooves are designed to optimize the parameters of the welding current, welding voltage, and welding speed. The optimal welding process parameters are investigated through thermal-elastic-plastic simulation analysis and experimental verification. The results indicate that, when the welding current is set to 230 A, the welding voltage to 32 V, and the welding speed to 0.003 m/s, the maximum deformation of the welded plate is 0.52 mm, with a maximum welding residual stress of 345 MPa. Both the simulation results of multi-pass welding, and the experimental tests meet the welding requirements, as they show no excessive stress or strain. These parameters can be applied to building large steel-frame bridges using welding robots, improving the quality of welded joints.

Research on an Adaptive Method for the Angle Calibration of Roadside LiDAR Point Clouds.

Light Detection and Ranging (LiDAR), a laser-based technology for environmental perception, finds extensive applications in intelligent transportation. Deployed on roadsides, it provides real-time global traffic data, supporting road safety and research. To overcome accuracy issues arising from sensor misalignment and to facilitate multi-sensor fusion, this paper proposes an adaptive calibration method. The method defines an ideal coordinate system with the road's forward direction as the X-axis and the intersection line between the vertical plane of the X-axis and the road surface plane as the Y-axis. This method utilizes the Kalman filter (KF) for trajectory smoothing and employs the random sample consensus (RANSAC) algorithm for ground fitting, obtaining the projection of the ideal coordinate system within the LiDAR system coordinate system. By comparing the two coordinate systems and calculating Euler angles, the point cloud is angle-calibrated using rotation matrices. Based on measured data from roadside LiDAR, this paper validates the calibration method. The experimental results demonstrate that the proposed method achieves high precision, with calculated Euler angle errors consistently below 1.7%.

Precursor template-induced egg white-derived peptides self-assembly for the enhancement of curcumin: Structure, environmental stability, and bioavailability.

Natural multicomponent peptides with abundant bioactivity, varied sizes, and tunable interaction potential are available for rational designing novel self-assembled delivery carriers. Herein, we exploited zein-hyaluronic acid nanoparticles (Z-HA NPs) with a predetermined ordered structure as precursor templates to induce the self-assembly of egg white-derived peptides (EWDP) to generate stable spherical architectures for the enhancement of curcumin (Cur). The resulting Z-EWDP-HA NPs encapsulated hydrophobic Cur through robust hydrogen bonding and hydrophobic interactions with high encapsulation efficiency (97.38% at pH 7.0). The NPs presented superior Cur aqueous solubility, redispersibility, and photothermal stability. More importantly, the self-assembled EWDP could exert synergistic antioxidant activity with Cur and enhance the bioaccessibility of Cur. Meanwhile, the favorable biocompatibility and membrane affinity of EWDP further prolonged residence and time-controlled release feature of Cur in the small intestine. Precursor template-induced multicomponent peptides' self-assembly provides an efficient and controllable strategy for co-enhanced bioactivity and self-assembly capacity of peptides, which could dramatically broaden the functionalization of multicomponent peptides hydrolyzed from natural food proteins.

Chinese Herbal Medicine for the Treatment of Adult Viral Myocarditis: An Overview of Systematic Reviews and Meta-Analyses of Randomized Controlled Trials.

PURPOSE: Viral myocarditis (VMC) is a life-threatening disease that can affect all ages and genders, with middle-aged adults being particularly susceptible. Numerous systematic reviews have been conducted to investigate the efficacy and safety of Chinese herbal medicine (CHM) in treating adult viral myocarditis (AVM). The objective of this study was to conduct a comprehensive overview of systematic reviews and meta-analyses of randomized controlled trials (RCTs) regarding the efficacy and safety of CHM for AVM. METHODS: A comprehensive systematic search was conducted across 8 electronic databases from their inception to June 23, 2022, augmented by manual searches of the gray literature. Systematic reviews were independently selected and data extracted in accordance with predetermined criteria by 2 reviewers. Included systematic reviews were assessed for methodologic and reporting quality using Assessing the Methodological Quality of Systematic Reviews 2 and Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The quality of evidence relating to outcome measures was evaluated using the Grading of Recommendations, Assessment, Development, and Evaluation tool. Recalculation of effect sizes and subsequent determination of 95% CIs were conducted with either a fixed-effects or random-effects model. FINDINGS: The current overview of systematic reviews included a total of 6 systematic reviews, which reported on 67 RCTs with a participant pool of 5611 individuals. The findings of our study indicate that the combination of CHM and Western medications had positive effects on the effective rate, cure rate, ECG recovery, atrial premature contraction/premature ventricular contraction, left ventricular ejection fraction, myocardial enzymes, and improvement of clinical symptoms for AVM. The adverse drug reactions in the combination therapy group were generally less than or lighter than that in the Western medication group (relative risk = 0.79; 95% CI, 0.44-1.40; P > 0.05, I2 = 0). IMPLICATIONS: Our research results provide evidence that combining CHM with Western medicine could offer potential benefits for patients with AVM. However, the number of studies included in our review is limited and the methodologic quality of these studies is modest. Therefore, there are potential uncertainties regarding the conclusion that CHM with Western medication may benefit patients with AVM. We call for more large-scale, high-quality studies with standardized designs to further verify and support our findings. This would promote a better understanding of the efficacy and safety profile of CHM and provide reliable reference evidence for clinical practice and policy making. Moreover, future research should explore optimal drug combinations, examine therapeutic doses and durations of CHM combination therapy, and evaluate its long-term efficacy and safety.

Validation and calibration of aerosol optical depth and classification of aerosol types based on multi-source data over China.

A refined classification of aerosol types is essential to identify and control air pollution sources. This study focused on improving the resolution and accuracy of aerosol optical depth (AOD) and further refining the classification of aerosol types in China. We validated the accuracy of the AOD acquired using the Modern-Era Retrospective Analysis for Research and Applications version 2 (MERRA2) and Copernicus Atmosphere Monitoring Service (CAMS) by comparing it with that acquired using from the Aeronet Robotic Network (AERONET). We simulated the AOD with high spatial resolution and accuracy based on the extremely randomized trees (ERT), adaptive boosting (AdaBoost), and gradient boosting decision trees (GBDT) models and identified aerosol types based on the Angstrom Exponent (AE) from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the calibrated AOD. The results showed that CAMS overestimates AOD (21.4 %) and MERRA2 underestimates AOD (-17.3 %). Among the three machine learning models, the ERT model performed best, with a determination coefficient (R2) of 0.825 and the root-mean-square error (RMSE) of 0.174. Biomass burning/urban-industrial aerosols dominated China, with the largest contributions to southern, eastern, and central China in spring and summer. Clean continental aerosols contributed the most to southwestern China in fall and winter, whereas desert dust aerosols contributed the most to northwestern and eastern China in spring.

Deep phenotyping of 11,880 highlanders reveals novel adaptive traits in native Tibetans.

Tibetans are the ideal population to study genetic adaptation in extreme environments. Here, we performed systematic phenotyping of 11,880 highlanders, covering 133 quantitative traits of 13 organ systems. We provided a comprehensive phenotypic atlas by comparing altitude adaptation and altitude acclimatization. We found the differences between adaptation and acclimatization are quantitative rather than qualitative, with a whole-system "blunted effect" seen in the adapted Tibetans. We characterized twelve different functional changes between adaptation and acclimatization. More importantly, we established a landscape of adaptive phenotypes of indigenous Tibetans, including 45 newly identified Tibetan adaptation-nominated traits, involving specific changes of Tibetans in internal organ state, metabolism, eye morphology, and skin pigmentation. In addition, we observed a sex-biased pattern between altitude acclimatization and adaptation. The generated atlas of phenotypic landscape provides new insights into understanding of human adaptation to high-altitude environments, and it serves as a valuable blueprint for future medical and physiological studies.

Disfunction of communication among immune cells in minimal-deviation adenocarcinoma of the cervix as an immunotherapeutic opportunity.

Minimal deviation adenocarcinoma (MDA) of the uterine cervix, also referred to as malignant adenoma, is a rare subtype of cervical adenocarcinoma that exhibits histological characteristics resembling those of benign tumors, resulting in a low diagnostic rate and a lack of effective treatment options. The transcriptomic features of MDA at the single-cell resolution and within the tumor microenvironment (TME) remain unclear. In this study, we conducted single-cell transcriptomic analyses of MDA samples (Ca) and adjacent normal tissues (PCa). The present study reveals the prevalence of dendritic cells (DCs) and T cells in the carcinoma (Ca) of mammary ductal adenocarcinoma (MDA), with DCs undergoing significant metabolic reprogramming and immune stress. Additionally, our findings demonstrate the crucial involvement of DCs and T cells in the pathogenesis and metastatic progression of MDA, as evidenced by single-cell transcriptomic profiling of MDA and HPV samples. This resource provides a more profound understanding of the indolent nature of MDA and may prove useful in the development of MDA immunotherapy.

Chromosome-level reference genome assembly provides insights into the evolution of Pennisetum alopecuroides.

Pennisetum alopecuroides is an important forage grass resource, which plays a vital role in ecological environment improvement. Therefore, the acquisition of P. alopecuroides genome resources is conducive to the study of the adaptability of Pennisetum species in ecological remediation and forage breeding development. Here we assembled a P. alopecuroides cv. 'Liqiu' genome at the chromosome level with a size of approximately 845.71 Mb, contig N50 of 84.83Mb, and genome integrity of 99.13% as assessed by CEGMA. A total of 833.41-Mb sequences were mounted on nine chromosomes by Hi-C technology. In total, 60.66% of the repetitive sequences and 34,312 genes were predicted. The genomic evolution analysis showed that P. alopecuroides cv. 'Liqiu' was isolated from Setaria 7.53-13.80 million years ago and from Cenchrus 5.33-8.99 million years ago, respectively. The whole-genome event analysis showed that P. alopecuroides cv. 'Liqiu' underwent two whole-genome duplication (WGD) events in the evolution process, and the duplication events occurred at a similar time to that of Oryza sativa and Setaria viridis. The completion of the genome sequencing of P. alopecuroides cv. 'Liqiu' provides data support for mining high-quality genetic resources of P. alopecuroides and provides a theoretical basis for the origin and evolutionary characteristics of Pennisetum.

Clinical utility of HPV typing and quantification combined with PAX1/ZNF582 methylation detection in accurate cervical cancer screening.

Objectives: This article aims at exploring the clinical value of high-risk human papillomavirus (HPV) positive and paired boxed 1 (PAXI)/zinc finger protein 582 (ZNF582) gene methylation shunt as a new approach for accurate cervical cancer screening. Material and Methods: Selecting 115 patients were treated in the Cervical Department of Xuzhou Matemal and Child Health Hospital from October 2018-October 2020. All patients underwent cervical exfoliated cell thinprep cytologic test (TCT) detection, HPV typing quantitative detection, and PAX1/ZNF582 gene methylation level Detection. Taking the biopsy pathological diagnosis under colposcopy as the gold standard, analyzing the test results statistically, and the sensitivity, specificity, and accuracy of the three screening methods alone and combined screening schemes were compared. Results: Comparison of the three methods of cervical exfoliated cell TCT, HPV typing and quantification, and PAX1/ZNF582 methylation gene detection showed that the gene detection method has the highest specificity, 97.30%; The HPV typing quantitative detection has the highest sensitivity, 89.71%, but its specificity is poor; and the PAX1/ZNF582 gene detection has the highest accuracy. Conclusion: For patients with high-grade cervical lesions and cervical cancer, PAX1/ZNF582 gene methylation level can be used as an important biomarker for the diagnosis and classification of cervical cancer. PAX1/ZNF582 methylation gene detection is effective in high-grade cervical lesions and cervical cancer. Screening has high clinical value and can become a new way of accurate cervical cancer screening.

The changes of Treg and Th17 cells relate to serum 25(OH)D in patients with initial-onset childhood systemic lupus erythematosus.

Background: T helper 17 (Th17) cells and regulatory T cells (Treg) are known to play a crucial role in the pathogenesis of systemic lupus erythematosus (SLE). Improving the balance between Treg and Th17 cells can be a promising new therapeutic target in SLE patients. Vitamin D has a significant impact on the immune inflammatory process and the immune cells involved in this process. The purpose of this study is to investigate the relationship between Th17, Treg, cytokines, and serum 25 hydroxyvitamin D [25(OH)D] in patients with initial-onset childhood SLE. Methods: A total of 82 children aged <18 years with initial-onset SLE were included, as well as 60 healthy subjects during the same period at the Pediatrics Department of the Second Hospital of Hebei Medical University. The chemiluminescence method was performed to detect serum 25(OH)D levels. Flow cytometry was used to evaluate Treg and Th17 cells. An enzyme-linked immunosorbent assay kit was used to evaluate plasma interleukin (IL)-23, IL-17, IL-10, IL-6, and tumor necrosis factor alpha (TNF-α) concentrations. Result: The serum 25(OH)D levels in patients with initial-onset childhood SLE were significantly lower than those in the healthy controls. The proportion of lupus nephritis (LN) was higher in the vitamin D insufficiency group (71.4%) compared with the vitamin D sufficiency group (30.3%) (p < 0.05). The SLE disease activity index (SLEDAI) was higher in the vitamin D insufficiency group (median = 14) than that in the vitamin D sufficiency group (median = 9) (p < 0.05).The 25(OH)D level was positively correlated with the Treg ratio (r = 0.337, p = 0.002), and it was negatively correlated with the Th17 cell ratio (r = -0.370, p = 0.001). The serum 25(OH)D level had a negative correlation with IL-23 (r = -0.589, p < 0.001), IL-17(r = -0.351, p = 0.001), TNF-α (r = -0.283, p = 0.01), IL-6 (r = -0.392, p < 0.001), and IL-10 (r = -0.313, p = 0.004) levels. Conclusion: The serum 25(OH)D levels decreased in patients with initial-onset childhood SLE. There was a negative correlation between the serum 25(OH)D levels and SLEDAI. The serum 25(OH)D levels in patients with initial-onset childhood SLE were negatively correlated with the Th17 ratio and related cytokines, while positively correlated with the Treg ratio.