The prevalence of periodontitis in China is as high as 74.2%, making it the leading cause of tooth loss in adults and severely impacting both oral and overall health. The treatment of periodontitis and periodontal tissue regeneration are global challenges of significant concern. GE Shaohua' s group at School and Hospital of Stomatology, Shandong University has focused on the key scientific issue of "remodeling the periodontal inflammatory microenvironment and optimizing tissue repair and regeneration". They have elucidated the mechanisms underlying the persistence of periodontitis, developed bioactive materials to enhance stem cell regenerative properties, and constructed a series of guided tissue regeneration barrier membranes to promote periodontal tissue repair, leading to the establishment of a comprehensive technology system for the treatment of periodontitis. Specific achievements and progress include: (1) Elucidating the mechanism by which key periodontal pathogens evade antimicrobial autophagy, leading to inflammatory damage; developing intelligent antimicrobial hydrogels and nanosystems, and creating metal-polyphenol network microsphere capsules to reshape the periodontal inflammatory microenvironment; (2) Explaining the mechanisms by which nanomaterial structures and electroactive interfaces regulate stem cell behavior, developing optimized nanostructures and electroactive biomaterials, thereby effectively enhancing the regenerative repair capabilities of stem cells; (3) Creating a series of biphasic heterogeneous barrier membranes, refining guided tissue regeneration and in situ tissue engineering techniques, stimulating the body' s intrinsic repair potential, and synergistically promoting the structural regeneration and functional reconstruction of periodontal tissues. The research outcomes of the group have innovated the fundamental theories of periodontal tissue regeneration, broken through foreign technological barriers and patent blockades, established a cascade repair strategy for periodontal regeneration, and enhanced China' s core competitiveness in the field of periodontal tissue regeneration.
Humans ; Stem Cells/physiology* ; Periodontitis/therapy* ; Guided Tissue Regeneration, Periodontal/methods* ; Regeneration ; Biocompatible Materials ; Tissue Engineering/methods*

OBJECTIVES: We propose a segmented backprojection tensor degradation feature encoding (SBP-MAC) model for motion artifact correction in dental cone beam computed tomography (CBCT) to improve the quality of the reconstructed images. METHODS: The proposed motion artifact correction model consists of a generator and a degradation encoder. The segmented limited-angle reconstructed sub-images are stacked into the tensors and used as the model input. A degradation encoder is used to extract spatially varying motion information in the tensor, and the generator's skip connection features are adaptively modulated to guide the model for correcting artifacts caused by different motion waveforms. The artifact consistency loss function was designed to simplify the learning task of the generator. RESULTS: The proposed model could effectively remove motion artifacts and improve the quality of the reconstructed images. For simulated data, the proposed model increased the peak signal-to-noise ratio by 8.28%, increased the structural similarity index measurement by 2.29%, and decreased the root mean square error by 23.84%. For real clinical data, the proposed model achieved the highest expert score of 4.4221 (against a 5-point scale), which was significantly higher than those of all the other comparison methods. CONCLUSIONS The SBP-MAC model can effectively extract spatially varying motion information in the tensors and achieve adaptive artifact correction from the tensor domain to the image domain to improve the quality of reconstructed dental CBCT images.
Cone-Beam Computed Tomography/methods* ; Artifacts ; Humans ; Motion ; Image Processing, Computer-Assisted/methods* ; Signal-To-Noise Ratio ; Algorithms

Objective To propose a low-dose CT reconstruction algorithm across different scanners based on federated feature learning(FedCT)to improve the generalization of deep learning models for multiple CT scanners and protect data privacy.Methods In the proposed FedCT framework,each client is assigned an inverse Radon transform-based reconstruction model to serve as a local network model that participates in federated learning.A projection-domain specific learning strategy is adopted to preserve the geometry specificity in the local projection domain.Federated feature learning is introduced in the model,which utilizes conditional parameters to mark the local data and feed the conditional parameters into the network for encoding to enhance the generalization of the model in the image domain.Results In the cross-client,multi-scanner,and multi-protocol low-dose CT reconstruction experiments,FedCT achieved the highest PSNR(+2.8048,+2.7301,and +2.7263 compared to the second best federated learning method),the highest SSIM(+0.0009,+0.0165,and +0.0131 in the same comparison),and the lowest RMSE(-0.6687,-1.5956,and-0.9962).In the ablation experiment,compared with the general federated learning strategy,the model with projection-specific learning strategy showed an average improvement by 1.18 on Q1 of the PSNR and an average decrease by 1.36 on Q3 of the RMSE on the test set.The introduction of federated feature learning in FedCT further improved the Q1 of the PSNR on the test set by 3.56 and reduced the Q3 of the RMSE by 1.80.Conclusion FedCT provides an effective solution for collaborative construction of CT reconstruction models,which can enhance model generalization and further improve the reconstruction performance on global data while protecting data privacy.

Objective To propose a CT truncated data reconstruction model(DDTrans)based on projection and image dual-domain Transformer coupled feature learning for reducing truncation artifacts and image structure distortion caused by insufficient field of view(FOV)in CT scanning.Methods Transformer was adopted to build projection domain and image domain restoration models,and the long-range dependency modeling capability of the Transformer attention module was used to capture global structural features to restore the projection data information and enhance the reconstructed images.We constructed a differentiable Radon back-projection operator layer between the projection domain and image domain networks to enable end-to-end training of DDTrans.Projection consistency loss was introduced to constrain the image forward-projection results to further improve the accuracy of image reconstruction.Results The experimental results with Mayo simulation data showed that for both partial truncation and interior scanning data,the proposed DDTrans method showed better performance than the comparison algorithms in removing truncation artifacts at the edges and restoring the external information of the FOV.Conclusion The DDTrans method can effectively remove CT truncation artifacts to ensure accurate reconstruction of the data within the FOV and achieve approximate reconstruction of data outside the FOV.

Objective We propose a dual-domain cone beam computed tomography(CBCT)reconstruction framework DualCBR-Net based on improved differentiable domain transform for cone-angle artifact correction.Methods The proposed CBCT dual-domain reconstruction framework DualCBR-Net consists of 3 individual modules:projection preprocessing,differentiable domain transform,and image post-processing.The projection preprocessing module first extends the original projection data in the row direction to ensure full coverage of the scanned object by X-ray.The differentiable domain transform introduces the FDK reconstruction and forward projection operators to complete the forward and gradient backpropagation processes,where the geometric parameters correspond to the extended data dimension to provide crucial prior information in the forward pass of the network and ensure the accuracy in the gradient backpropagation,thus enabling precise learning of cone-beam region data.The image post-processing module further fine-tunes the domain-transformed image to remove residual artifacts and noises.Results The results of validation experiments conducted on Mayo's public chest dataset showed that the proposed DualCBR-Net framework was superior to other comparison methods in terms of artifact removal and structural detail preservation.Compared with the latest methods,the DualCBR-Net framework improved the PSNR and SSIM by 0.6479 and 0.0074,respectively.Conclusion The proposed DualCBR-Net framework for cone-angle artifact correction allows effective joint training of the CBCT dual-domain network and is especially effective for large cone-angle region.

Objective We propose a motion artifact correction algorithm(DMBL)for reducing motion artifacts in reconstructed dental cone-beam computed tomography(CBCT)images based on deep blur learning.Methods A blur encoder was used to extract motion-related degradation features to model the degradation process caused by motion,and the obtained motion degradation features were imported in the artifact correction module for artifact removal.The artifact correction module adopts a joint learning framework for image blur removal and image blur simulation for treatment of spatially varying and random motion patterns.Comparative experiments were conducted to verify the effectiveness of the proposed method using both simulated motion data sets and clinical data sets.Results The experimental results with the simulated dataset showed that compared with the existing methods,the PSNR of the proposed method increased by 2.88%,the SSIM increased by 0.89%,and the RMSE decreased by 10.58%.The results with the clinical dataset showed that the proposed method achieved the highest expert level with a subjective image quality score of 4.417(in a 5-point scale),significantly higher than those of the comparison methods.Conclusion The proposed DMBL algorithm with a deep blur joint learning network structure can effectively reduce motion artifacts in dental CBCT images and achieve high-quality image restoration.

OBJECTIVE To screen out the pharmacodynamic substances of Cistanches Herba aqueous extracts, explore the basis of the pharmacodynamic substances and their mechanism of action in the treatment of diabetic nephropathy(DN), based on the spectral relationship between the mass spectral peak areas of different elution sites of Cistanches Herba aqueous extracts and their anti-DN effects. METHODS UPLC-Orbitrap-MS/MS technique was used to characterise the chromatographic peaks; MTT method was used to detect the effects of different elution sites of Cistanches Herba aqueous extract on the proliferation of high glucose and high fat HK-2 cells; grey correlation analysis and partial least squares method were used to analyse the spectral relationship between mass spectrometry peak area and anti-DN activity. MTT method was used to determine the anti-DN activities of the individual components of Cistanches Herba aqueous extract; biochemical kit and ELISA were used to determine the levels of oxidative indicators(SOD, GSH-P) and inflammatory factors(IL-1β, TNF-α, TGF-β); Western blotting was used to detect the expression of apoptosis-related proteins. RESULTS UPLC-Orbitrap-MS/MS technique speculated and identified 72 common compounds; In Cistanches Herba aqueous extracts, water, 20% ethanol, and 40% ethanol-eluted sites differentially increased the proliferation rate of HK-2 cells in a high-sugar, high-fat environment; Partial least squares and grey correlation analyses showed that the constituents of the aqueous extracts of Cistanches Herba with greater anti-DN contributions were 8-epideoxymatricinic acid, geniposidic acid, pinoresinol, betaine and syringin, et al. MTT assay reveals that 8-epi-deoxystrychnic acid and geniposidic acid had significant proliferative effects on HK-2 cells in a high glucose and high fat environment; Biochemical kit and ELISA showed that 8-epideoxystrychnic acid and geniposidic acid were able to up-regulate the activity of SOD and GSH-Px, and at the same time they had an inhibitory effect on the expression of inflammatory factors IL-1β, TNF-α and TGF-β. Western blotting results showed that 8-epideoxystrychnic acid and geniposidic acid were able to down-regulate and up-regulate the markers of dermal mesenchymal transition: α-SMA, Collagen Ⅰ and E-cadherin, and they could exert anti-DN effects by inhibiting the PI3K-Akt pathway. CONCLUSION The two compounds, 8-epideoxystrychnic acid and geniposidic acid, which are screened by the spectroeffective relationship of anti-DN among the many chemical constituents contained in Cistanches Herba, can affect oxidative stress, inflammation and epithelial-mesenchymal transformation of renal tubular cells by inhibiting the PI3K-Akt signalling pathway, and improve renal pathology, degree of fibrosis and renal function, which will be useful for the in-depth study of aqueous extracts of Cistanches Herba in the treatment of DN.

Objective:To analyze and summarize the clinical, genotypic and pathological characteristics of children with PAX2 gene mutation in China, and to provide information for the monitoring, treatment and prognosis of the disease. Methods:It was a case series analysis study. The clinical data of children with PAX2 gene mutation in Pediatric Nephrology Department, Tongji Hospital Affiliated to Tongji Medical College, Huazhong University of Science and Technology from January 2014 to December 2022 were collected, and peripheral blood gene DNA was extracted and sequenced for whole exome sequencing. The clinical, pathological and genotypic characteristics of PAX2 gene variation of children in China were summarized by searching PubMed, Medline, China National Knowledge Infrastructure and Wanfang database and compared with the cases in this single center. Results:Among the 13 children with PAX2 gene mutation, there were 9 males and 4 females, 12 patients with abnormal urine tests, 7 patients with small kidney volume by imaging examination, and 5 patients with renal cysts. The clinical phenotypes were congenital renal and urinary tract malformations in 8 cases, renal coloboma syndrome in 1 case, and hematuria or proteinuria in 3 cases. Five patients underwent renal biopsies, showing focal segmental glomerulosclerosis and C3 glomerulopathy in 1 case, focal segmental glomerulosclerosis in 1 case, thin basement membrane lesion in 1 case, and IgA nephropathy in 2 cases. The genetic testing in 13 children showed 9 de novo mutations and 4 new mutations of c.321G>A, c.213-8C>G, c.63C>A and c.449C>T. There were 2 cases of 76dupG (p.V26Gfs*28) mutant. A total of 51 Chinese children with PAX2 gene mutation were found in the literature search. There were 32 males and 19 females, 8 cases with small kidney volume and 12 cases with renal cysts. The clinical phenotypes were congenital anomalies of kidney and urinary tract in 28 cases, renal coloboma syndrome in 17 cases, and hematuria or proteinuria in 6 cases. Seven patients underwent renal biopsies, including 2 cases with focal segmental glomerulosclerosis, 1 case with minimal lesion, 1 case with mesangial proliferative glomerulonephritis, 1 case with IgA nephropathy, 1 case with membranous nephropathy and a case with focal proliferative sclerosing purpura nephritis combined with glomerular hypertrophy. Thirty-four cases were de novo mutations, and 12 mutations were from the father or mother. The father or mother of 5 children had no clinical manifestations, with normal renal function. There were 11 cases of 76dupG (p.V26Gfs*28) mutant. Conclusions:The clinical phenotypes and genotypes of PAX2 gene variation in Chinese children are diverse. The most common clinical phenotype of PAX2 gene variation is congenital anomalies of kidney and urinary tract. c.76dupG (p.V26Gfs*28) is the most common of PAX2 gene variant.

Objective:To analyze the clinical and laboratory characteristics of patients with cryoglobulinemia.Methods:It is a cross-sectional study. The patients diagnosed with cryoglobulinemia in our hospital were enrolled from July 2017 to March 2023. The baseline information of patients, included age, gender, qualitative, and quantitative results of serum cryoglobulins, initial clinical manifestations, etiology, serum complement 3 and 4, and the renal pathological manifestations. The clinical and laboratory characteristics of patients with different types of cryoglobulinemia were analyzed.Results:There were 62 patients (30.7%) with type Ⅰ cryoglobulinemia, 58 patients (28.7%) with type Ⅱ cryoglobulinemia, and 82 patients (40.6%) with type Ⅲ cryoglobulinemia enrolled in this study. Among these patients, 56 of primary cryoglobulinemia, 76 of autoimmune diseases, 29 of tumor-related diseases, and 52 of infectious diseases were observed. Clinical symptoms related to skin lesions (124 cases, 61.4%) and kidney damage (87 cases, 43.1%) were the most common initial clinical manifestations and arthralgia/arthritis (50 cases, 24.8%), peripheral neuropathy (33 cases, 16.3%), fatigue (28 cases, 13.9%), fever (23 cases, 11.4%) were also observed in some patients. The clinical symptoms varied in different types of cryoglobulinemia. 29.0% patients (18/62) with type Ⅰ had fatigue, which was higher than those with type Ⅱ (10.3%, 6/58) and type Ⅲ (4.9%, 4/82) ( P<0.05); Kidney damage occurred in 56.9% (33/58) patients with type Ⅱ and 52.4% (43/82) patients with type Ⅲ, which was higher than that in type Ⅰ patients (17.7%, 11/62) ( P<0.05); Only 4 patients (4.9%, 4/82) with type Ⅲ had peripheral neuropathy, which was lower than those with type Ⅰ (17.7%, 11/62) and type Ⅱ (31.0%, 18/58) ( P<0.05). The quantity of cryoglobulins in patients with type Ⅲ cryoglobulinemia [122 (82, 177) mg/L] was significantly lower than that in patients with type Ⅰ [695(229, 3 499) mg/L] ( P<0.001) and type Ⅱ cryoglobulinemia [350 (107, 1 874) mg/L] ( P<0.001). Complement 4 decreased in 49.0% (99/202) of patients and complement 3 decreased in 42.6% (86/202) of patients. Membranoproliferative glomerulonephritis (36.0%, 9/25) and endocapillary proliferative glomerulonephritis (32.0%, 8/25) were the main renal pathological manifestations of cryoglobulin nephropathy. Conclusions:The most common clinical manifestations of cryoglobulinemia are skin and kidney damage. The clinical manifestations of patients with cryoglobulinemia vary in different types of cryoglobulins. Serum complement decreases in nearly half of cryoglobulinemia patients.

【Objective】 To investigate the anemia status of infants and toddlers aged 6 - 24 months in Linxia Hui Autonomous Prefecture, Gansu Province, and to comprehensively evaluate the differences in feeding behaviors between anaemic and normal children through the infant and child feeding index (ICFI) and feeding knowledge scores, so as to provide reference for the guidance of infants and young children feeding in ethnic minority areas and the promotion of children′s growth and development. 【Methods】 Taking infants and young children aged 6 - 24 months in Linxia Prefecture as the study subjects, a multi-stage random sampling method was used to select children who met the requirements from 5 townships and 5 villages in 7 counties in 2019 and 2020.Periphral blood samples were collected to test the level of hemoglobin, so as to determine the anemia status.Meanwhile, physical examination was performed and a questionnaire survey of guardians was conducted to analyze the association betweenanaemia and feeding patterns 【Results】 A total of 3 901 infants and children were included in this study, of whom 729 (18.70%) were anaemic, with a mean ICFI score of 12.56±2.70 and a mean feeding knowledge score of 1.97±1.01.There was no statistically significant association of low feeding knowledge score and low ICFI with anaemia after adjusting for confounders (P>0.05), Unqualified meat addition in ICFI was a risk factor for anaemia (OR=1.355, P=0.042), while non-bottle feeding in the past 24 hours (OR=0.762, P=0.021), and breastfeeding in the past 24 hours of infants and toddlers aged 12 - 24 months (OR=0.228, P=0.018) were protective factor for anemia in infants and toddlers aged 12 - 24 months. 【Conclusions】 The average prevalence of anemia in infants and toddlers aged 6 - 24 months in Linxia Hui Autonomous Prefecture of Gansu Province is high, but the level of infant feeding and the level of feeding knowledge of caregivers are low.Early adherence to breastfeeding, timely addition of supplementary food, and more comsumpution of meat for children are conducive to preventing anemia.