Objective: To compare the Reveos automated blood processing system with the current method, and to evaluate the feasibility and validity of using the Reveos system for blood component preparation. Methods: Forty units of 400 mL whole blood samples were divided into two groups: 2C group (for two-component preparation) and 3C group (for three-component preparation). Each group was further divided into a Reveos subgroup and a control subgroup. Blood components were prepared using the Reveos system and the current centrifugation method respectively. The 2C group yielded suspended red blood cells and plasma, while the 3C group yielded suspended red blood cells, plasma, and platelets. Key quality indicators for red blood cells, plasma, and platelets were measured before and after separation. Inter-group differences were analyzed using SPSS 25.0. Results: The trend of changes in the main performance indicators of red blood cells, plasma, and platelets before and after separation was generally consistent between the Reveos group and the control group, with no significant differences for most performance indicators. The Reveos system outperformed the current method in several aspects: in the 3C group, the hematocrit (Hct) was significantly higher in the Reveos group than in the control group [(62.82%±1.64%) vs (53.62%±3.04)%, P<0.001]; the white blood cell count in red blood cell suspensions was significantly lower than that in the control group [(3.37±1.42)×10 /L vs (8.42±2.30)×10 /L, P<0.001]; plasma yield was 27.5% higher than that in the control group [(183.90±17.37) mL vs (144.28±20.53) mL, P<0.001]; and the platelet activation rate was significantly lower than that in the control group [(21.97±14.25)% vs (34.73±11.92)%, P=0.044]. Conclusion: The Reveos system demonstrates good consistency with the current method in preparing blood components, and outperforms the current method in terms of leukocyte reduction and red blood cell concentration.

Enamel demineralization, the formation of white spot lesions, is a common issue in clinical orthodontic treatment. The appearance of white spot lesions not only affects the texture and health of dental hard tissues but also impacts the health and aesthetics of teeth after orthodontic treatment. The prevention, diagnosis, and treatment of white spot lesions that occur throughout the orthodontic treatment process involve multiple dental specialties. This expert consensus will focus on providing guiding opinions on the management and prevention of white spot lesions during orthodontic treatment, advocating for proactive prevention, early detection, timely treatment, scientific follow-up, and multidisciplinary management of white spot lesions throughout the orthodontic process, thereby maintaining the dental health of patients during orthodontic treatment.
Humans ; Consensus ; Dental Caries/etiology* ; Dental Enamel/pathology* ; Tooth Demineralization/etiology* ; Tooth Remineralization

Objective To evaluate the efficacy and safety of enteric-coated metformin hydrochloride capsules(Junlida?)in patients with T2DM and poor glycemic control under lifestyle interventions.Methods In this study,419 patients with T2DM were recruited from 15 research centers from July 2020 to March 2022,and randomly divided into observation(Obs)group(n=209)and control group(Con,n=210)using a multicenter,randomized,double-blind,non-inferiority trial design.Patients in the Obs group were treated with enteric-coated Metformin hydrochloride capsules(Junlida?),and patients in the Con group were treated with Metformin hydrochloride tablets(Glucophage?).The optimal effective dose of 2 g/d was achieved within 4 weeks,and the reasonable dose was maintained until the end of treatment.The treatment period was 24 weeks.HbA1c and its compliance rate,FPG,and body weight were compared between the two groups in full analysis set(FAS)and protocol set(PPS).Safety and adverse events(AE)were evaluated in safety set(SS).Results A total of 414 participants were randomized(207 cases in Obs group and 207 cases in Con group).414 cases in FAS population(207 cases in Obs group and 207 cases in Con group),and 328 cases in PPS population(164 cases in Obs group and 164 cases in Con group),and 414 cases in SS population(207 cases in Obs group and 207 cases in Con group).After treatment,HbA1c,FPG and body weight were lower in both groups(P<0.05)in FAS and PPS.HbA1c compliance rate was not significantly different between the two groups in FAS and PPS(P>0.05).The results of non-inferiority test showed that the lower limit was>-0.4%in both FAS(-0.154,95%CI-0.384～0.069)and PPS(-0.139,95%CI-0.390～0.112),and the Obs group reached non-inferiority end point.The achievement rate,compliance rate,safety index and incidence of AE were not significantly different between the two groups(P>0.05).Conclusions Junlida? demonstrated non-inferiority to Glucophage? in glycemic control and can be safely and effectively used in patients with diabetes.

Objective:To investigate the efficacy and safety of allogeneic hematopoietic stem cell transplantation (allo-HSCT) for the treatment of BCR::ABL-negative chronic neutrophilic leukemia (CNL) and MDS/MPN with neutrophilia.Methods:This study retrospectively analyzed 12 cases of CNL and MDS/MPN with neutrophilia that underwent allo-HSCT from March 2017 to June 2024, comprising 7 males and 5 females with a median age of 48 ( IQR: 28, 59) years. The 2-year overall survival (OS), disease-free survival (DFS), cumulative incidence of relapse (CIR), and transplantation-related mortality (TRM) rates were analyzed. Complications were also assessed. Results:Of the 12 patients, 6 received matched sibling HSCT and 6 received haploidentical HSCT. All patients had successful engraftment, and the median times of neutrophil and platelet engraftment were 17 ( IQR: 11, 24) days and 15 ( IQR: 9, 28) days, respectively. Grade Ⅱ–Ⅳ acute graft versus host disease (GVHD) and chronic GVHD occurred in 2 and 4 cases, respectively. The 2-year OS, DFS, CIR, and TRM rates were (65.6 ± 16.4) %, (41.7 ± 16.6) %, (47.2 ±18.2) %, and (11.1 ± 11.4) %, respectively, after a median follow-up time of 637 ( IQR: 330, 943) days. One patient died from treatment-related complications due to respiratory failure caused by coronavirus disease 2019. Two patients died due to relapse. Conclusion:Allo-HSCT can be applied as a safe and effective approach to treat CNL and MDS/MPN with neutrophilia.

Objective:To investigate the expression of SLIT2/ROBO1 in prostate cancer and its clinical significance.Methods:A total of 100 cases of radical prostatectomy paraffin specimens at Department of Clinical Pathology, the average age of the patients was (71.8±7.8) years, the People?s Hospital of Baoan Shenzhen from January 2015 to December 2019 were collected and immunohistochemical staining was used to analyze the correlation between SLIT2/ROBO1 expression and clinicopathological features in prostate cancer.COX regression was used to analyze the influencing factors of biochemical recurrence in patients with prostate cancer after radical treatment.Prostate cancer cells PC3 and LNCaP were used as research objects, ROBO1 was silenced by small interfering RNA specific to human ROBO1, and its effect on the growth rate of prostate cancer was observed by CCK8 assay.Transwell cell migration and invasion assay was used to detect the effect of ROBO1 knock-down on the migration and invasion ability of prostate cancer cells.Protein immunoimprinting assay was used to detect the expression of TGF-β/SMAD pathway-related proteins after ROBO1 knockdown.Results:The expressions of SLIT2 and ROBO1 in prostate cancer were increased with the increase of prostate cancer Gleason score system (Gleason score) and International Society of Urology Pathology score (ISUP)( P<0.05). The expression was significantly up-regulated in prostate cancer tissues with lymph node metastasis ( P<0.01) and T3 stage.In addition, COX regression univariate analysis showed that age, preoperative PSA level, Gleason and ISUP scores, T stage, lymph node metastasis and ROBO1 protein expression status were correlated with postoperative biochemical recurrence.COX regression multivariate analysis showed that ROBO1 high expression, age, preoperative PSA value and T stagewere risk factors for the prognosis of prostate cancer ( P<0.05).The results of cell experiments showed that ROBO1 promoted the proliferation, migration and invasion of prostate cancer cells.The expression of TGF-β/SMAD was decreased after ROBO1 knockdown and SLIT2/ROBO1 inhibitor (P144)treatment, respectively. Conclusions:The high expression of SLIT2 and ROBO1 is associated with the progression and differentiation of prostate cancer.The high expression of ROBO1 is a risk factor for biochemical recurrence of prostate cancer.At the same time, ROBO1 can inhibit the migration and invasion of prostate cancer cells by regulating the TGF-β/SMAD signaling pathway.

OBJECTIVE To analyze the differential chemical composition of Olibanum of different origins and to provide some references for the identification of Olibanum origin and the quality standards.METHODS The chemical compositions of Olibanum were analyzed by UPLC-Q/TOF-MS.Multivariate statistical methods were used to analyze Olibanum and processed products to screen the differential compounds in Olibanum of different origins.RESULTS Using positive and negative ion scanning modes,a total of 108 compounds were identified in Olibanum.The compounds were mainly terpenes,among which triterpenes were the highest.And through multivariate statistical analysis,it was found that there were significant differences in the chemical compositions of Olibanum of different regions,with a total of 34 differential compounds;furthermore,specific compounds unique to Olibanum from other sources were identified.CONCLUSION Different regions of Olibanum could be distinguished based on their differential chemical composi-tions.This study could serve as a basis for identifying different origins of Olibanum,and also provide experimental data for subsequent research on the pharmacological substance basis of Olibanum.

Objective: To analyze the demographic characteristics of patients with red blood cell transfusion reactions, the usage of red blood cell preparations, and the differences in the composition ratio of adverse reactions based on multi-center data from the Haemovigilance Network, in order to reveal the clinical characteristics of red blood cell transfusion and its underlying issues. Methods: Clinical data of patients who experienced transfusion reactions after red blood cell transfusion in the Haemovigilance Network from 2018 to 2023 were collected. The demographic characteristics of patients who experienced transfusion reactions with different types of red blood cell preparations, the utilization of these preparations, and the differences of the composition ratios of transfusion reactions were analyzed. Count data were expressed as numbers (n) or percentages (%), and comparisons between groups were performed using the Chi-square test. Results: Red blood cell transfusion reactions were more common in females (53.56%), with the majority of patients aged 50-69 years (35.54%). The Han polulation accounted for the vast majority of patients (92.77%), and patients in the hematology and obstetrics/gynecology departments had a relatively high proportion of transfusion reactions (13.26% and 14.26%, respectively). Leukocyte-reduced red blood cells and suspended red blood cells were the most common types of transfusion reactions reported among red blood cell preparations. Allergic reactions and non-hemolytic febrile reactions were the most common transfusion reactions, and there were significant differences in the composition ratios of allergic reactions (χ =869.89, P<0.05) and non-hemolytic febrile reactions (χ =812.75, P<0.05) across various types of red blood cell preparations. Conclusion: There are differences in the demographic characteristics and composition ratio of transfusion reactions among different red blood cell preparations. The management of red blood cell transfusion reactions should be tailored to patient characteristics and conditions, and the selection and use of blood products should be optimized to reduce or avoid the occurrence of transfusion reactions, such as considering the use of washed red blood cells for patients with a history of transfusion allergies or those prone to allergies.

Objective To explore the mechanism of electroacupuncture in improving lipid metabolism in polycystic ovary syndrome(PCOS)based on metabolomics combined with transcriptomics.Methods Eight-een SD rats were divided into the control group,the PCOS group and the electroacupuncture group,with 6 rats in each group.The PCOS group and the electroacupuncture group used intragastric letrozole to establish the PCOS model.After the model was established,the electroacupuncture group was intervened with electroacu-puncture,while the control group was only given sodium carboxymethyl cellulose by gavage.Observed the changes in body weight and estrous cycle of the three groups,detected the sex hormones,blood lipids,liver function,ovarian morphology,plasma metabolism and liver function indicators of the three groups.Metabolo-mics was used to analyze the differences in metabolites in plasma,the differences in gene expression in the liv-er were detected by RT-qPCR.Results Weight gain and estrous cycle disorder occurred in the PCOS group,and the ovarian morphology showed a thinning of the granulosa cell layer,with a significant reduction in the number of corpus luteum and mature follicles.Meanwhile,sex hormones were abnormal(total testosterone and androgen levels were increased,estradiol and progesterone levels were decreased),dyslipidemia occurred(TC,TG,LDL-C were increased,HDL-C level was decreased),and liver function was abnormal(AST,total protein,ALB,TBIL were increased).The electroacupuncture group significantly reduced weight.It improved the estrous cycle,and the granulosa cell layer of the ovary thickened,with a significant increasing in the num-ber of corpus luteum and mature follicles.Meanwhile,sex hormone levels were improved(androgen and total testosterone levels were decreased,estradiol level was increased),lipid balance(TC,TG,LDL-C levels were reduced,HDL-C level was increased)and liver function(AST,total protein,ALB,and TBIL levels were de-creased)was restored.Transcriptomics suggested that electroacupuncture down-regulated the expression of cytochrome P450(CYPs)family genes related to steroid hormones and lipid metabolism,and the results were confirmed by RT-qPCR.Combined omics analysis revealed that electroacupuncture might mainly exert its effect on improving lipid metabolism disorders in PCOS rats through the linoleic acid metabolic pathway.Con-clusion Electroacupuncture can regulate lipid metabolism in rats with PCOS.

Objective:To develop an artificial intelligence (AI)-based platelet review strategy to identify abnormal platelet histograms with no significant difference between initial impedance platelet count (PLT-I) and PLT-F results.Methods:This study included 5 119 routine blood analysis in Nanfang Hospital of Southern Medical University and its Ganzhou branch from July 2023 and March 2024. Specimens exhibiting abnormal platelet histograms and an initial platelet count >40×10?/L underwent review using the fluorescent platelet count (PLT-F) channel. Consistency of the results was defined as a difference between impedance platelet count (PLT-I) and PLT-F less than ±20% of the PLT-F results. A deep learning model was developed using platelet and red blood cell histogram data from a training set of 3 807 specimens. The model′s diagnostic performance was evaluated on an independent external validation set ( n=805) using receiver operating characteristic (ROC) curve analysis. Changes in the number of reviewed samples and sample turnaround time were analyzed to assess its clinical utility. Results:The deep learning model based on platelet and red blood cell histograms achieved an area under the ROC curve (AUC) of 0.854 in the training set. At a cutoff value of 0.1, the sensitivity was 0.954 and specificity was 0.358. The model could reduce review by 16.80% (190/1 131). In the validation set, the AUC was 0.805, with a sensitivity of 0.955 and specificity of 0.307, corresponding to a reduction of 17.41% (47/270) in reviewed specimens.Conclusion:The platelet review prediction model developed based on deep learning technology can efficiently identify samples with consistent results before and after review, reducing unnecessary reviews and shortening specimen testing time, thereby improving the efficiency of platelet test.

Objective To investigate the risk factors of aspiration during early enteral nutrition(EEN)support treatment in patients in intensive care unit(ICU)and establish and validate the corresponding nomogram risk prediction model.Methods A total of 348 ICU patients who received EEN between June 2022 and May 2024 were enrolled and divided into the aspiration group(n=74)and the non-aspiration group(n=274)based on the occurrence of aspiration.Clinical data were collected included age,sex,body mass index(BMI),history of diabetes,endotracheal intubation/mechanical ventilation status,plasma albumin(ALB)levels within 24 h after admission to ICU,disease type(severe pneumonia/stroke/septic shock),consciousness level(Glasgow Coma Scale,GCS),APACHE Ⅱscore,nasogastric tube insertion depth,infusion volume,nutritional risk(NRS2002 score≥3 indicating high risk),and nutrition mode(nasogastric/nasointestinal tube).Logistic regression was used to identify risk factors of aspiration,and a nomogram prediction model was constructed using R software.External validation was performed on 72 EEN-treated ICU patients admitted between June 2024 and January 2025.Results Logistic regression identified age(OR=2.701,95%CI:1.633-4.467),APACHE Ⅱ score(OR=2.125,95%CI:1.133-3.987),consciousness level(OR=2.826,95%CI:1.617-4.940),nasogastric tube insertion depth(OR=1.101,95%CI:1.006-1.136)and nutritional risk(OR=8.996,95%CI:5.017-16.132)were independent risk factors for aspiration(all P＜0.05).A nomogram incorporating these factors was developed,converting cumulative scores into individualized aspiration risk probabilities.The model demonstrated strong predictive performance in internal validation(AUC=0.860,calibration curve slope=0.930)and external validation(AUC=0.831).Decision curve analysis(DCA)confirmed significant clinical net benefits across risk thresholds,supporting its practical utility.Conclusion The nomogram model exhibits good discrimination and accuracy,providing a valuable tool for individualized aspiration risk assessment in ICU patients receiving EEN.