Collagen membrane has attracted much attention from researchers due to its excellent properties such as wide source, degradable absorption, and low immunogenicity. However, they are limited by poor mechanical stability and rapid degradation. To enhance their physicochemical properties and biological functions, researchers have developed various strategies, including cross-linking, incorporation of growth factors or drugs, combination with other biomaterials, optimization of composition and structure, and substitution with marine-derived collagen. These advances aim to expand the clinical applications of collagen membranes in oral medicine. With the urgent demand for high-performance biomaterials in oral medicine, summarizing recent progress on collagen membranes provides valuable insights into their mechanisms, clinical efficacy, and limitations, offering reference for optimized design and broader clinical use. Furthermore, further trends may include integrating advanced manufacturing technologies to develop personalized collagen membranes, which could significantly improve therapeutic outcomes in oral diseases.
Collagen/therapeutic use* ; Humans ; Biocompatible Materials/chemistry* ; Membranes, Artificial ; Oral Medicine/methods* ; Tissue Engineering/methods*

Anaplastic thyroid carcinoma(ATC)is the most aggressive malignancy with poor prognosis.The pathogenesis of ATC is complex,and there is no effective treatment at present.In recent years,with the deep understanding of the genetic(such as BRAF V600E,TP53,TERT,PIK3CA mutations,etc.)and epigenetic(such as histone methylation,histone deacetylation,microRNA regulatory pathways,etc.)changes driving ATC,molecular targeted therapy has brought new hope to ATC patients.This article reviews the molecular mechanisms of ATC and the latest achievements in targeted therapy and other therapies.

Objective:To investigate the expression of HBB in anaplastic thyroid cancer(ATC)cells and its regulatory effect on proliferation,invasion,migration and apoptosis of ATC cells and its potential mechanism.Methods:The expression of HBB in thyroid cancer and paracancerous tissues was analyzed through TIMER database.The correlation between the expression of HBB and the overall survival time of thyroid cancer patients was analyzed through KM-plotter database.The expression of HBB mRNA in ATC cells was detected by RT-qPCR.The HBB knockout or overexpression plasmid was transfected into ATC cells.The expression of HBB protein was detected by Western blot.The proliferation activity was detected by CCK-8 assay.The migration and invasion ability was detected by Transwell assay.The apoptosis was detected by flow cytometry.The expression of β-catenin was detected by Western blot.Results:The expression of HBB was low in thyroid cancer,and the overall survival time of patients with high expression of HBB was high.The expression of HBB protein was down-regulated in ATC cells.Knockout of HBB increased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and inhibited apoptosis.However,overexpression of HBB decreased the ability of proliferation,migration and invasion of ATC cells and the expression of β-catenin protein,and promoted apoptosis.Conclusions:High HBB expression is associated with higher overall survival in patients with thyroid cancer.It may inhibit the proliferation,migration and invasion of ATC cells and promote apoptosis through Wnt/β-catenin signal pathway.

BACKGROUND:Rapid developments in the field of bioinformatics have provided new methods for the diagnosis of osteoarthritis.Artificial neural networks have powerful data computing and classification capabilities,which have shown better performance in disease diagnosis. OBJECTIVE:To establish a new diagnostic predictive model of osteoarthritis based on artificial neural network and to verify the diagnostic value of the model in osteoarthritis with an external dataset. METHODS:The eligible osteoarthritis-related data sets were downloaded through GEO database search and divided into Train group and Test group.The gene expression matrix of the Train group was analyzed to screen the differentially expressed genes.GO and KEGG enrichment analyses were performed on the differentially expressed genes.Through Lasso regression model,support vector machine model and random forest tree model,the key genes of osteoarthritis were further identified from the differentially expressed genes.The R software"Neuralnet"package was then used to construct the osteoarthritis diagnosis model based on artificial neural network,and the model performance was evaluated by the five-fold cross-validation.Two independent data sets in the Test group were used to verify their diagnostic results. RESULTS AND CONCLUSION:A total of 90 differentially expressed genes related to osteoarthritis were obtained by differential analysis,of which 33 were down-regulated and 57 were up-regulated.GO enrichment analysis showed that the differentially expressed genes were mainly involved in the following biological processes,including leukocyte-mediated immunity,leukocyte migration in bone marrow and chemokine production.KEGG enrichment analysis showed that these genes were mainly enriched in rheumatoid arthritis,interleukin-17 signaling pathway and osteoclast differentiation pathway.Five key genes for the diagnosis of osteoarthritis,HMGB2,GADD45A,SLC19A2,TPPP3 and FOLR2,were identified by three machine learning methods.The artificial neural network model of five key genes in the Train group showed that the accuracy was 96.36%and the area under the curve was 0.997.The five-fold cross validation of the neural network model showed that the average area under the curve was greater than 0.9 and the model was of robustness.Two independent data sets in the Test group showed its area under the curve was 0.814 and 0.788 respectively.Therefore,the establishment of an artificial neural network model for the diagnosis of osteoarthritis has a certain diagnostic value.

【Objective】 To explore the effectiveness and safety of different salvage therapies for local recurrence of tumor following primary prostate cryoablation so as to provide the reference for the treatment of prostate similar cases. 【Methods】 The clinical data of patients with prostate cancer (cT1c-4N0M0) who received salvage therapy for local recurrence of tumor following primary prostate cryoablation in the Sun Yat-Sen University Cancer Center during June 2014 and Dec. 2020 were retrospectively analyzed. Salvage therapies included local therapy (salvage radiotherapy, salvage cryoablation or salvage radical prostatectomy) and androgen deprivation therapy (ADT). 【Results】 Altogether 8 patients were involved. The median age was 71(63-76) years, the median prostate specific antigen (PSA) at the first diagnosis was 17.650(10.380-325.100) ng/mL, the median nadir post-cryoablation PSA was 0.041(0.003-0.541) ng/mL, and the median PSA at local recurrence was 3.030(2.090-19.180) ng/mL. Abnormal digital rectal examination was found in 3 cases, and radiographic evidence of local recurrence was found in 7 cases. Prostate biopsy was performed in 4 cases, 2 of which had positive results. The median follow-up after salvage therapy lasted for 54 (9-75) months. Four cases received salvage radiotherapy, 2 of which developed bloody stool, hematuresis and urinary tract infection, and recovered after conservative treatment; 1 case received salvage cryoablation without side effects; 1 case underwent radical prostatectomy and radiotherapy, developed lymphorrhagia and recovered after conservative treatment; 2 cases received ADT alone, one experienced hot flashes and recovered after conservative treatment, and the other progressed into castration-resistant prostate cancer after 63 months. No other progression or death occurred at the termination of follow-up. 【Conclusion】 Salvase therapy (salvage radiotherapy, salvage cryoablation, salvage radical prostatectomy) and ADT can be used for local recurrence of tumor following primary prostate cryoablation. However, large-scale prospective research is needed to confirm the effectiveness and safety of different therapies.

Objective:To observe the clinical efficacy of neck Gongfa exercise in intervening people at high risk for cervical spondylosis. Methods:A total of 212 participants from 8 companies at high risk for cervical spondylosis were divided into two groups using the random number table method,with 105 participants in the control group receiving health education and 107 participants in the trial group receiving an additional neck Gongfa exercise.After successive 3-month interventions,the two groups were compared in terms of cervical soft tissue tension and neck disability index(NDI)score.The incidence of cervical spondylosis was observed 3 months later. Results:During the process,10 cases dropped out in the trial group,and the control group had 9 dropout cases.After the intervention,the cervical soft tissue tension value and NDI score improved in both groups(P<0.05)and showed significant differences between the two groups(P<0.05).At the 3-month follow-up,the trial group had a lower incidence rate of cervical spondylosis than the control group(P<0.05). Conclusion:For people at high risk for cervical spondylosis,neck Gongfa exercise can effectively improve cervical soft tissue tension and motor dysfunction and lower the incidence of cervical spondylosis in the short run.

Objective:To explore the relationship between adipocytokine levels in bone marrow and the onset,progression,and prognosis of myelodysplastic syndromes(MDS).Methods:Retrospective analysis of adipocytokine levels in the bone marrow of 72 patients with MDS and 16 patients with MDS-related secondary acute myeloid leukemia(sAML),including adiponectin(ADP),leptin(LEP),visfatin/nicotinamide phosphoribosyltransferase(NAMPT),adipsin/complement factor D(CFD),and C1q/TNF-related protein 1(CTRP1),detected by enzyme-linked immunosorbent assay(ELISA)at The Affiliated Cancer Hospital of Zhengzhou University from February 2020 to February 2022.High-throughput sequencing was used to detect MDS-related genes in 70 patients and the relationship between adipocytokines and the clinical characteristics,disease subtypes,mutant genes,and prognosis of patients were analyzed.Seventy-eight MDS-related genes were identified.Results:Clinical characteristics showed that ADP(P=0.027)and LEP(P=0.019)levels were significantly lower in men than inwomen;ADP(P=0.020),CFD(P<0.001),and NAMPT(P=0.021)levels were significantly lower in patients aged<65 years than in patients aged≥65,where-as LEP levels were significantly higher(P=0.043).Adiponectin levels were significantly higher in patients with BMI<24 than in patients with BMI≥24(P=0.025),whereas LEP levels were significantly lower(P=0.020);NAMPT levels were significantly higher in the group with in-creased blasts than in the group with no blasts(P=0.037).The CTRP1 levels were significantly higher in the MDS group than in the sAML group(P=0.010).Abnormal gene correlation analysis showed that elevated CTRP1 levels were positively correlated with the occurrence of epigenetically related abnormal genes(P=0.001)and were positively correlated with the occurrence of TET2 and U2AF1(P<0.001 and P=0.036,respectively);ADP and CFD levels were positively correlated with the occurrence of NPM1(P=0.048 and P=0.026,respectively).Multifactorial Cox proportional hazards regression model analysis showed that LEP<0.2 ng/mL was an independent risk factor for progres-sion-free survival(PFS)and overall survival in patients with MDS(P=0.002 and P<0.001,respectively),whereas NAMPT<2.1 ng/mL was a protective factor for PFS in patients with MDS(P=0.043).Conclusions:Adipocytokines in the bone marrow microenvironment are closely as-sociated with the clinical characteristics,gene mutations,and prognosis of patients with MDS,with LEP<0.2 ng/mL being an independent prognostic risk factor and NAMPT<2.1 ng/mL being a prognostic protective factor.

Objective To analyze the relationship of miRNA-146a gene polymorphisms and ischemic post-stroke depression(PSD).Methods The SNP rs2910164 in the miRNA-146a gene in 200 ischemic PSD patients(case group)and 200 ischemic non-PSD patients(control group)was analyzed using the SNaPshot technique.The relative expression levels of miRNA-146a in the peripheral blood of two groups were determined.Results The case group showed significantly different allele and genotype frequencies of the SNP rs2910164 as compared with the control group(G vs.C:P=0.003;GG+CG vs.CC:P=0.012).Meanwhile,the case group presented a significantly lower level of miRNA-146a relative expression(P<0.05).Within the control group,additionally,the subgroup of GG+CG genotypes demonstrated a significantly lower level of miRNA-146a relative expression compared with the subgroup of CC genotypes(P<0.05).Conclusion SNP rs2910164 in the miRNA-146a is associated with the susceptibility to ischemic PSD,and G allele may play a role in the ischemic PSD.

Purpose/Significance To improve the performance of named entity recognition(NER)model of Chinese electronic medi-cal records(EMR)for better organization and mining of medical information.Method/Process The ERNIE-BiGRU-Attention-CRF NER model of Chinese EMR is constructed.Firstly,the ERNIE1.0 pre-training model is used to generate word vectors with semantic features,and then BiGRU is utilized to capture the global semantic features and grammatical structural features,which are fed into the Attention mechanism to further enhance the capture of the semantic features,and finally,the CRF decoding layer is connected to output the label sequences with the maximum global probability.Result/Conclusion Comparison experiments and ablation experiments are car-ried out on the publicly available medical text dataset CCKS2017,and examples analysis is conducted using the generated model.The model proposed in this paper achieves better recognition results.

Objective To observe the value of dual-source CT(DECT)virtual monoenergetic imaging(VMI)for differentiating prostate cancer(PC)and benign prostatic hyperplasia(BPH).Methods Thirty-three patients with PC(PC group)and 44 patients with BPH(BPH group)were retrospectively enrolled,and 40-100 keV(with 10 keV interval)VMI were reconstructed based on arterial phase DECT images,respectively.Clinical data,focal CT value and contrast-to-noise ratio(CNR)of VMI with different energy levels and conventional linear fusion images of arterial phase were compared between groups.Binary logistic regression models were constructed based on clinical data being significantly different between groups,focal CT value of VMI with energy level with the highest CNR,also focal CT value of conventional linear fusion images of arterial phase,respectively.The area under the receiver operating characteristic curve(AUC)was calculated to evaluate the efficacy of each model for differentiating PC and BPH.Results Free prostate-specific antigen(f-PSA),total prostate-specific antigen(t-PSA),focal CT value of 40-100 keV VMI and conventional linear fusion images of arterial phase in PC group were all higher,while short diameter in PC group was smaller than those in BPH group(all P＜0.05).Logistic regression models were constructed based on f-PSA,t-PSA,short diameter,CT value at 40 keV VMI and CT value at conventional linear fusion images of arterial phase,respectively,with AUC for differentiating PC and BPH of 0.879,0.902,0.701,0.911 and 0.857,respectively.Conclusion DECT VMI could be used as a supplementary examination for prostate diseases,and 40 keV VMI had the best efficacy for differentiating PC and BPH.