Objective: To investigate the distribution characteristics of CD36 antigen in healthy individuals in Xinjiang, China and analyze the molecular mechanisms underlying CD36 deficiency. Methods: Flow cytometry was used to assess CD36 antigen expression on platelets from 881 healthy individuals who underwent physical examinations between June and August 2023. Differences in CD36 antigen distribution among ethnic groups were compared, and genotyping and third-generation sequencing were conducted on samples with CD36 deficiency. Results: Among the 881 samples, 4 cases (0.5%) of CD36 type Ⅱ deficiency were identified. The deficiency frequency was 0.7% (3/430) in Han individuals and 0.3% (1/363) in Uygur individuals, with no statistically significant difference between the two groups (P>0.05). No mutations were detected in the coding regions of the deficient samples. Two samples exhibited a (TG)11 in intron 3. Among the 12 linked mutation sites, g. 55589 G>A was mutated to g. 55589G Del, while g. 55593 A del did not occur; however, g. 55591A>T was observed nearby. Additionally, 52742insGAAAA was present in 100% of the (TG)11 haplotypes, potentially representing a novel linked mutation. Conclusion: This study indicates that the positive frequency of CD36 antigen in Xinjiang is relatively high, suggesting a low risk of alloimmune diseases in clinical practice. The (TG)11 in intron 3 is not universally present in all CD36 type Ⅱ deficiency cases, and the number of linked mutation sites extends beyond the previously reported 12.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

Background: The association of changes in metabolic syndrome (MetS) with cognitive function remains unclear. We explored this association using prospective and Mendelian randomization (MR) studies. Methods: MetS components including high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SBP), waist circumference (WC), fasting plasma glucose (FPG), and triglycerides were measured at baseline and two follow-ups, constructing a MetS index. Immediate, delayed memory recall, and cognitive function along with its dimensions were assessed by immediate 10- word recall test (IWRT) and delayed 10-word recall test (DWRT), and mini-mental state examination (MMSE), respectively, at baseline and follow-ups. Linear mixed-effect model was used. Additionally, the genome-wide association study (GWAS) of MetS was conducted and one-sample MR was performed to assess the causality between MetS and cognitive function. Results: Elevated MetS index was associated with decreasing annual change rates (decrease) in DWRT and MMSE scores, and with decreases in attention, calculation and recall dimensions. HDL-C was positively associated with an increase in DWRT scores, while SBP and FPG were negatively associated. HDL-C showed a positive association, whereas WC was negatively associated with increases in MMSE scores, including attention, calculation and recall dimensions. Interaction analysis indicated that the association of MetS index on cognitive decline was predominantly observed in low family income group. The GWAS of MetS identified some genetic variants. MR results showed a non-significant causality between MetS and decrease in DWRT, IWRT, nor MMSE scores. Conclusion Our study indicated a significant association of MetS and its components with declines in memory and cognitive function, especially in delayed memory recall.

As a new type of production factor that can empower the development of new quality productivity, the data element is an important engine to promote the high quality development of the industry. Traditional Chinese medicine(TCM) dispensing is the most basic work of TCM clinical pharmacy, and its quality directly affects the clinical efficacy of TCM. The integration of data elements and TCM dispensing can stimulate the innovation and vitality of the TCM dispensing industry and promote the high-quality and sustainable development of the industry. A large-scale, detailed, and systematic study on TCM dispensing was conducted. The innovative practice path of data fusion construction in the whole process of TCM dispensing was investigated by integrating the digital resources "nine full activities" of TCM dispensing, creating the digital dictionary of "TCM clinical information data elements", and exploring innovative applications of TCM dispensing driven by data and technology, so as to promote the standardized, digital, and intelligent development of TCM dispensing in medical health services. The research content of this project was successfully selected as the second batch of "Data element×" typical cases of National Data Administration in 2024, which is the only selected case in the field of TCM.
Medicine, Chinese Traditional/methods* ; Drugs, Chinese Herbal ; Humans

OBJECTIVE: To investigate lymph node metastasis (LNM) in the prostatic anterior fat pad (PAFP) of PCa patients after robot-assisted radical prostatectomy (RARP), and analyze the clinicopathological features and prognosis of LNM in the PAFP. METHODS: We retrospectively analyzed the clinicopathological data on 1 003 cases of PCa treated by RARP in the Department of Urology of PLA General Hospital from January 2017 to December 2022. All the patients underwent routine removal of the PAFP during RARP and pathological examination, with the results of all the specimens examined and reported by pathologists. Based on the presence and locations of LNM, we grouped the patients for statistical analysis, compared the clinicopathological features between different groups using the Student's t, Mann-Whitney U and Chi-square tests, and conducted survival analyses using the Kaplan-Meier and Log-rank methods and survival curves generated by Rstudio. RESULTS: Lymph nodes were detected in 77 (7.7%) of the 1 003 PAFP samples, and LNM in 11 (14.3%) of the 77 cases, with a positive rate of 1.1% (11/1 003). Of the 11 positive cases, 9 were found in the upgraded pathological N stage, and the other 2 complicated by pelvic LNM. The patients with postoperative pathological stage≥T3 constituted a significantly higher proportion in the PAFP LNM than in the non-PAFP LNM group (81.8% ［9/11］ vs 36.2% ［359/992］, P = 0.005), and so did the cases with Gleason score ≥8 (87.5% ［7/8］ vs 35.5% ［279/786］, P = 0.009). No statistically significant differences were observed in the clinicopathological features and biochemical recurrence-free survival between the patients with PAFP LNM only and those with pelvic LNM only. CONCLUSION The PAFP is a potential route to LNM, and patients with LNM in the PAFP are characterized by poor pathological features. There is no statistically significant difference in biochemical recurrence-free survival between the patients with PAFP LNM only and those with pelvic LNM only. Routine removal of the PAFP and independent pathological examination of the specimen during RARP is of great clinical significance.
Humans ; Male ; Prostatectomy/methods* ; Robotic Surgical Procedures ; Lymphatic Metastasis ; Retrospective Studies ; Prognosis ; Prostatic Neoplasms/pathology* ; Adipose Tissue/pathology* ; Prostate/pathology* ; Lymph Nodes/pathology* ; Middle Aged ; Aged

Cemental tear is a rare and indetectable condition unless obvious clinical signs present with the involvement of surrounding periodontal and periapical tissues. Due to its clinical manifestations similar to common dental issues, such as vertical root fracture, primary endodontic diseases, and periodontal diseases, as well as the low awareness of cemental tear for clinicians, misdiagnosis often occurs. The critical principle for cemental tear treatment is to remove torn fragments, and overlooking fragments leads to futile therapy, which could deteriorate the conditions of the affected teeth. Therefore, accurate diagnosis and subsequent appropriate interventions are vital for managing cemental tear. Novel diagnostic tools, including cone-beam computed tomography (CBCT), microscopes, and enamel matrix derivatives, have improved early detection and management, enhancing tooth retention. The implementation of standardized diagnostic criteria and treatment protocols, combined with improved clinical awareness among dental professionals, serves to mitigate risks of diagnostic errors and suboptimal therapeutic interventions. This expert consensus reviewed the epidemiology, pathogenesis, potential predisposing factors, clinical manifestations, diagnosis, differential diagnosis, treatment, and prognosis of cemental tear, aiming to provide a clinical guideline and facilitate clinicians to have a better understanding of cemental tear.
Humans ; Dental Cementum/injuries* ; Consensus ; Diagnosis, Differential ; Cone-Beam Computed Tomography ; Tooth Fractures/therapy*

Objective To systematically evaluate the germplasm resources of Polygonatum odoratum(Mill.)Druce from the main producing areas in China.Methods A total of 35 tubers of Polygonatum odoratum from the main producing areas of China were collected to detect the water content,and the contents of nutrients including crude ash and crude fat,etc.and two medicinal components(polysaccharides and total flavonoids),and then the germplasm resources of Polygonatum odoratum were comprehensively evaluated by the coefficient of variation,correlation analysis and cluster analysis.Results In different Polygonatum odoratum tuber resources,the water content was 64.43%-83.78%,crude ash content was 1.03%-6.43%,lignin content was 2.83%-18.38%,cellulose content was 1.88%-4.73%,crude fat content was 2.85%-5.16%,crude protein content was 47.12-184.20 g/kg,the contents of polysaccharide and total flavonoids were 33.85-155.79 mg/g and 0.49-1.78 mg/g,respectively.Among them,the coefficients of variation for polysaccharide,crude ash,lignin,crude protein and total flavonoids were 0.45,0.42,0.38,0.31 and 0.30,respectively,showing large variations.There was a significant positive correlation between water content and contents of polysaccharide as well as various ingredient indexes in Polygonatum odoratum.The Polygonatum odoratum germplasm from different producing areas were mainly clustered into two types as follows:the first type was mainly from Guangdong and Hunan producing areas,the total flavonoids content being commonly higher,and the polysaccharide content of Polygonatum odoratum belongs to the second type in other producing areas was commonly higher.Four breeding materials with high content of medicinal ingredients were screened out by combining above indexes.Conclusion The high-quality germplasm was screened out through analyzing main nutrients and medicinal ingredients of Polygonatum odoratum tubers from different producing areas,contributing to providing data and material support for the evaluation of Polygonatum odoratum germplasm resources and strain breeding.

Objective To investigate the feasibility and value of a multi-parametric MRI radiomics-based nomogram model for pretreatment predicting the lymphovascular space invasion(LVSI)of endometrial endometrioid adenocarcinoma(EEA).Methods Preoperative MRI and baseline clinical characteristics of 205 EEA patients were prospectively collected from Oct 2020 to Jan 2022 in the Obstetrics and Gynecology Hospital,Fudan University,and randomly divided into training set(n=123)and validation set(n=82)in a 6∶4 ratio.The whole-tumor region of interest was manually drawn on T2-weighted imaging,diffusion-weighted imaging(apparent diffusion coefficient),and dynamic contrast-enhanced MRI,respectively,for radiomics features extraction.In the training set,univariate and multivariate Logistic regression analysis were used to select independent clinical predictors of LVSI(+)and construct the clinical model.The least absolute shrinkage and selection operator(LASSO)regression and multivariate Logistic regression analysis were used to select optimal radiomics features to form a radiomics signature.A combined nomogram model was established by integrating clinical independent predictors and the radiomics signature,and validated in the validation set.The predicting performance and clinical net benefit were evaluated by using the area under the receiver operating characteristic curve(AUC)and clinical decision curve analysis,respectively.Results Of the 205 EEA cases,144 cases were LVSI(-)and 61 cases were LVSI(+).Menopausal status,CA125,and CA199 were independent clinical predictors for the LVSI(+),and contributing to a clinical model with AUCs of 0.714(training)and 0.731(validation).From 8 240 extracted radiomics features,five were selected to construct a MRI radiomics signature after de-redundancy and LASSO dimensionality reduction,yielding AUCs of 0.860(training)and 0.759(validation).The combined nomogram model showed AUCs of 0.887(training)and 0.807(validation),outperforming others and achieving maximum clinical benefit in a large range of threshold probability in both training and validation sets.Conclusion The multi-parametric MRI-based nomogram model has the potential for pretreatment predicting the LVSI status of EEA,providing valuable information for clinical management decision-making and improving patient's clinical benefits.