Renal Fanconi syndrome (FS) is a rare renal manifestation of primary Sjögren's syndrome (pSS). This study aims to analyze the clinical and prognostic characteristics of patients with pSS-associated renal FS (pSS-FS) and provide insights for clinical management.

Objective: To evaluate the diagnostic potential of fluid suppression (FS) techniques combined with amide proton transferweighted imaging (APTw) for assessment of isocitrate dehydrogenase (IDH) mutation status, glioma subtypes, and tumor proliferation. Materials and Methods: This retrospective study included 117 patients with adult-type diffuse gliomas. Conventional APTw, FSAPTw, and spillover-corrected FS-APTw (SCFS-APTw) metrics were calculated from 3T MRI data in tumor parenchyma, necrotic or cystic regions, and contralateral normal-appearing white matter. APTw signals were compared across the three techniques within each region, between IDH-mutant and IDH-wildtype gliomas, and among astrocytoma, oligodendroglioma, and glioblastoma subtypes. Diagnostic performance for distinguishing IDH mutation status and glioma subtypes was assessed using receiver operating characteristic (ROC) analysis. Correlations between APTw metrics and Ki-67 expression were also analyzed. Results: Both FS-APTw and SCFS-APTw significantly reduced signal intensity in tumor parenchyma and necrotic or cystic regions, with SCFS-APTw demonstrating a stronger suppression effect. IDH-wildtype gliomas showed significantly higher APTw metrics than IDH-mutant gliomas (all P < 0.001). Glioblastomas exhibited significantly higher metrics than oligodendrogliomas (all corrected P ≤ 0.015) and astrocytomas (all corrected P < 0.001). SCFS-APTw achieved the highest area under the ROC curve (AUC) of 0.846 for identification of IDH mutation status. For differentiation between astrocytomas and glioblastomas, the 90th percentile of APTw yielded the highest AUC (0.860), followed by SCFS-APTw (0.849). For discrimination between oligodendrogliomas and glioblastomas, the highest AUC (0.832) was obtained using the 90th percentile of SCFS-APTw. None of these metrics successfully differentiated oligodendrogliomas from astrocytomas. SCFS-APTw demonstrated the strongest correlation with Ki-67 expression (r = 0.451). Conclusion FS techniques effectively reduce elevated APTw signals originating from fluid compartments. Their combination with APTw imaging enables evaluation of IDH mutation status, glioma subtypes, and tumor proliferative activity in adulttype diffuse gliomas.

OBJECTIVE To enhance the training quality of anticoagulation specialty clinical pharmacists,address the resource limitations of a single training base,and promote homogenization of training quality.METHODS A multi-base joint training system for anticoagulation specialty clinical pharmacists in the Beijing area was established.A mixed research method was employed,collecting data through performance comparisons,questionnaires,and qualitative interviews to compare the differences between the joint training model(experimental group,n=16)and traditional teaching model(the control group,n=17).RESULTS The established joint training system encompassed a unified joint training teaching plan,the formation of a joint training teaching team,the establishment of joint theoretical teaching courses,the implementation of joint case discussions and literature presentations,as well as strengthening the assessment throughout the joint training process.Compared to the control group[theoretical assessment of(76.44±3.66)points,case assessment of(84.31±3.27)points],the experimental group students achieved higher scores in theoretical assessment[(79.85±4.64)points]and case assessment[(88.70±5.51)points](P＜0.05).Through questionnaires and qualitative interviews,the trainees in experimental group were highly satisfied with the joint training model in terms of theoretical learning,communication skills,and teaching interaction.CONCLUSIONS The multi-base collaborative training system for anticoagulation specialty clinical pharmacists can integrate advantageous resources and significantly enhance the training effectiveness of anticoagulation specialty clinical pharmacists,offering value for wider promotion.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

Peri-implant keratinized mucosa (PIKM) augmentation refers to surgical procedures aimed at increasing the width of PIKM. Consensus reports emphasize the necessity of maintaining a minimum width of PIKM to ensure long-term peri-implant health. Currently, several surgical techniques have been validated for their effectiveness in increasing PIKM. However, the selection and application of PIKM augmentation methods may present challenges for dental practitioners due to heterogeneity in surgical techniques, variations in clinical scenarios, and anatomical differences. Therefore, clear guidelines and considerations for PIKM augmentation are needed. This expert consensus focuses on the commonly employed surgical techniques for PIKM augmentation and the factors influencing their selection at second-stage surgery. It aims to establish a standardized framework for assessing, planning, and executing PIKM augmentation procedures, with the goal of offering evidence-based guidance to enhance the predictability and success of PIKM augmentation.
Humans ; Consensus ; Dental Implants ; Mouth Mucosa/surgery* ; Keratins

Objective To investigate the value of enhanced magnetic resonance imaging(MRI)radiomics based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)in predicting the histopathological grading of hepatocellular carcinoma(HCC)before surgery.Methods A total of 101 patients with HCC who were treated in the Second Affiliated Hospital of Kunming Medical University from January 2021 to June 2024 were selected as study subjects and randomly assigned to the training set(n=70)and the test set(n=31)in a ratio of 7∶3.Radiomics features were extracted from portal venous phase(PVP)and hepatobiliary phase(HBP)images,and support vector machine(SVM)image omics model was constructed after dimensionality reduction by least absolute shrinkage and selection operator logistic regression.Model performance was assessed by area under the curve(AUC),accuracy,sensitivity,and specificity.Results After feature screening,the SVM model was constructed by retaining the best image omics features of 2 HBP,5 PVP and 11 combined models.The AUC of PVP,HBP and PVP+HBP combined models were 0.870,0.914 and 0.952,respectively,showing a good ability to distinguish between high and low grade HCC.Conclusion Compared with the independent model,PVP+HBP combined model has better performance in predicting HCC histopathological grading,and can be used as a non-invasive auxiliary tool to help distinguish between high-grade and low-grade HCC before surgery.

Objective:To explore the diagnostic value of digital mammography combined with serum glutathione specific gamma-glutamyl transpeptidase 1(CHAC1)and retinoic acid-induced protein 14(RAI14)in identifying benign and malignant breast masses.Methods:A total of 189 patients with breast masses who were treated at Handan Maternal and Child Health Care Hospital from June 2019 to June 2024 were prospectively selected as the research subjects.According to the results of pathological biopsy,they were divided into benign mass group(128 cases)and malignant mass group(61 cases).All patients underwent digital mammography detection.The levels of serum CHAC1 and RAI14 were detected by enzyme-linked immunosorbent assay(ELISA).The general clinical data of the patients were collected and analyzed.Multivariate logistic regression analysis was used to analyze the factors of influencing benign and malignant nature of breast masses.The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of CHAC1 and RAI14 for the benign and malignant nature of breast masses.The Kappa test was used to assess the consistency of results between each diagnostic method and the pathological detection.Results:For 189 patients with breast masses,digital mammography identified 56 cases of malignant masses and 133 cases of benign masses,and 13 cases of them were misdiagnosis and 18 cases of them were missed diagnosis.It showed a moderate consistency with the results of pathological detection(Kappa=0.617,P<0.05).Compared with the benign mass group,the levels of serum CHAC1 and RAI14 in the malignant mass group were significantly higher,and the differences of them between the two groups were statistically significant(t=12.249,12.512,P<0.05).The age,menopausal time,CHAC1 and RAI14 of the patients were all risk factors that can affect the benign and malignant nature of breast masses(OR=1.368,1.305,1.897,1.995,P<0.05).The area under curve(AUC),sensitivity and specificity of CHAC1 were respectively 0.816(95%CI:0.753～0.868),70.49%and 89.06%in diagnosing the benign and malignant nature of breast masses.These indicators of RAI14 were respectively 0.838(95%CI:0.778～0.888),68.85%and 89.84%in diagnosing the benign and malignant nature.The combined detection of the three methods identified 74 cases of malignant masses and 115 cases of benign masses,with 15 cases of misdiagnosis and 2 cases of missed diagnosis,which showed an extremely high consistency with the results of pathological detection(Kappa=0.805,P<0.001).The sensitivity(96.72%),negative predictive value(98.26%)and accuracy(91.01%)of the combined detection of digital mammography,serum CHAC1 and RAI14 were significantly higher than those of each alone detection of them,and the differences of them were significant(x2=15.310,16.623,15.310,11.690,12.402,11.572,5.276,5.276,4.677,P<0.05).Conclusion:The levels of serum CHAC1 and RAI14 appear increase in malignant breast masses,and digital mammography combined with serum CHAC1 and RAI14 has a certain of identification value for benign and malignant nature of breast masses.

Objective To investigate the value of enhanced magnetic resonance imaging(MRI)radiomics based on gadolinium ethoxybenzyl diethylenetriamine pentaacetic acid(Gd-EOB-DTPA)in predicting the histopathological grading of hepatocellular carcinoma(HCC)before surgery.Methods A total of 101 patients with HCC who were treated in the Second Affiliated Hospital of Kunming Medical University from January 2021 to June 2024 were selected as study subjects and randomly assigned to the training set(n=70)and the test set(n=31)in a ratio of 7∶3.Radiomics features were extracted from portal venous phase(PVP)and hepatobiliary phase(HBP)images,and support vector machine(SVM)image omics model was constructed after dimensionality reduction by least absolute shrinkage and selection operator logistic regression.Model performance was assessed by area under the curve(AUC),accuracy,sensitivity,and specificity.Results After feature screening,the SVM model was constructed by retaining the best image omics features of 2 HBP,5 PVP and 11 combined models.The AUC of PVP,HBP and PVP+HBP combined models were 0.870,0.914 and 0.952,respectively,showing a good ability to distinguish between high and low grade HCC.Conclusion Compared with the independent model,PVP+HBP combined model has better performance in predicting HCC histopathological grading,and can be used as a non-invasive auxiliary tool to help distinguish between high-grade and low-grade HCC before surgery.

Objective:To explore the effects of the fat mass and obesity-associated gene(FTO)on apoptosis and the inflammatory response of chondrocytes in osteoarthritis(OA).Methods:Differences in FTO expression between normal human cartilage tissue samples and OA cartilage tissue samples were examined.Primary OA chondrocytes were isolated and cultured, and a rat OA model was constructed.The expression of FTO was detected in clinical, animal and cellular samples.Cells were treated with an FTO knockdown lentivirus vector(sh-FTO)and an m 6A methylation inhibitor(cycloleucine). The amount of m 6A and the expression levels of inflammatory cytokines, interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α), were detected.Flow cytometry was used to detect apoptosis in OA chondrocytes, and Western blot was used to detect the expression levels of B-cell lymphoma 2(Bcl-2)and Bcl-2-associated X protein(Bax). Results:Compared with the normal control group, FTO mRNA and protein expression in human OA cartilage tissue, rat OA cartilage tissue and OA chondrocytes was significantly increased(all P<0.05). After FTO knockdown, the level of m 6A increased, the levels of IL-6 and TNF-α decreased considerably, the apoptosis rate decreased, the expression of the proapoptotic protein Bax decreased considerably, and the expression of Bcl-2 increased considerably in primary OA chondrocytes.However, cycloleucine intervention clearly reduced the level of m6A, increased the levels of IL-6 and TNF-α, promoted cell apoptosis and the expression of apoptosis-related proteins, and reversed the effect induced by the FTO knockdown lentivirus in OA chondrocytes(all P<0.05). Conclusions:FTO may be involved in mechanisms related to the action of m 6A to promote OA chondrocyte apoptosis and the inflammatory response, thus accelerating the progression of OA.

Objective:To investigate the relationship between body mass index(BMI) and osteoporosis using Mendelian randomization analysis.Methods:The genetic variation strongly related to BMI was selected as the instrumental variables in the collection data set of the genome-wide association study(GWAS). The MR-Egger regression, weighted median estimator(WME), inverse variance weighted(IVW), simple mode and weighted mode were used for Mendelian randomization(MR) analysis. The causal association between BMI and osteoporosis was evaluated by odds ratio and 95% confidence interval. The MR-APSS method was applied to make the causal inference results based on MR more reliable. The Linkage disequilibrium score regression was applied to evaluate the genetic correlation, and the horizontal pleiotropy test, heterogeneity test, and leave-one-out method were used to evaluate whether the results were reliable, The influence of heterogeneity and horizontal pleiotropy were reduced by the MR-PRESSO outlier test.Results:A total of 421 SNPs were included, with inverse variance-weighted method as the main analysis approach. The calculated OR value and 95% CI were 0.994(95% CI 0.992-0.997), indicating a protective effect of BMI on osteoporosis. The MR-APSS method showed that the effect of BMI on osteoporosis was statistically significant. Linkage disequilibrium score regression demonstrated a genetic correlation between BMI and osteoporosis. MR-Egger regression intercept showed no horizontal pleiotropy of instrumental variables, and the funnel plot showed no bias in instrumental variables. Leave-one-out analysis confirmed robust results. Conclusion:There may be a negative causal relationship between BMI and osteoporosis and BMI is a protective factor for osteoporosis.