During orthodontic treatment, clinical monitoring of patients is a crucial factor in determining treatment success. It aids in timely problem detection and resolution, ensuring adherence to the intended treatment plan. In recent years, digital technology has increasingly permeated orthodontic clinical diagnosis and treatment, facilitating clinical decision-making, treatment planning, and follow-up monitoring. This review summarizes recent advancements in digital technology for monitoring orthodontic tooth movement, related complications, and appliance-wearing compliance. It aims to provide insights for researchers and clinicians to enhance the application of digital technology in orthodontics, improve treatment outcomes, and optimize patient experience. The digitization of diagnostic data and the visualization of dental models make chair-side follow-up monitoring more convenient, accurate, and efficient. At the same time, the emergence of remote monitoring technology allows orthodontists to promptly identify oral health issues in patients and take corresponding measures. Furthermore, the multimodal data fusion method offers valuable insights into the monitoring of the root-alveolar relationship. Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. The application of digital technology in orthodontic monitoring holds great promise. However, challenges like technical bottlenecks, ethical considerations, and patient acceptance remain.

Nuclear receptor co-activator 4 (NCOA4) acts as a selective cargo receptor that binds to ferritin, a cytoplasmic iron storage complex. By mediating ferritinophagy, NCOA4 regulates iron metabolism and releases free iron in the body, thus playing a crucial role in a variety of biological processes, including growth, development, and metabolism. Recent studies have shown that NCOA4-mediated ferritinophagy is closely associated with the occurrence and development of iron metabolism-related diseases, such as liver fibrosis, renal cell carcinoma, and neurodegenerative diseases. In addition, a number of clinical drugs have been identified to modulate NCOA4-mediated ferritinophagy, significantly affecting disease progression and treatment efficacy. This paper aims to review the current research progress on the role of NCOA4-mediated ferritinophagy in related diseases, in order to provide new ideas for targeted clinical therapy.
Humans ; Nuclear Receptor Coactivators/physiology* ; Ferritins/metabolism* ; Animals ; Neurodegenerative Diseases/metabolism* ; Iron/metabolism* ; Autophagy/physiology* ; Liver Cirrhosis/metabolism* ; Carcinoma, Renal Cell/metabolism* ; Kidney Neoplasms/physiopathology*

Objective To analyze the factors influencing axillary lymph-node metastasis(ALNM)in microinvasive breast cancer(MIBC)patients,as well as to establish the risk-prediction model of ipsilateral ALNM in MIBC patients.Methods A total of 4475 primary female MIBC diagnosed by pathology from 2010 to 2015 were searched and screened from the SEER database.The obtained data were used to establish a prediction model for ALNM of MIBC.A total of 2266 primary female MIBC patients diagnosed by pathology from 2018 to 2020 in the SEER database were screened as the external validation cohort.The clinicopathological data of the enrolled MIBC patients were collected.Univariate analysis was used to screen out the factors affecting ALNM in MIBC patients.Statistically significant variables in univariate analysis were included in multivariate logistic regression analysis.The independent factors influencing ALNM in MIBC patients were screened out,and a nomogram was established.The area under the curve(AUC)was calculated by plotting the ROC curve.After plotting the calibration curve,the model was evaluated by Hosmer-Lemeshow goodness-of-fit test.Results A total of 309 patients were diagnosed with ipsilateral ALNM among the 6741 MIBC patients,accounting for about 4.58%.Univariate analysis of the modeling group showed that age,ethnicity,histological grade,pathological type,molecular subtype,and lateral side were associated with ALNM in MIBC patients(P<0.05).Results of multivariate analysis showed that the risk of ALNM was higher in MIBC patients≤40 years old,black people,histological grade Ⅱand Ⅲ,and primary right side(P<0.05).Subtype is an independent factor influencing ALNM in MIBC patients.However,the difference in ALNM risk was not statistically significant between the subtype of HR+HER2+,HR-HER2+,HR-HER2-and HR+HER2-subtypes.The AUC of the modeling group was 0.716(95%CI:0.682-0.750),the best cut-off value was 0.045,the sensitivity was 0.733,and the specificity was 0.608.The newly established nomogram model was used for the validation cohort,and its AUC was 0.722(95%CI:0.667-0.777).The P values of the Hosmer-Lemeshow goodness-of-fit test of the calibration curves in the modeling and validation groups exceeded 0.05.Conclusion The risk-prediction model of ALNM in MIBC patients established by the SEER database has good predictive ability and can thus be expected to serve as a reference for clinical practice.

Objective To evaluate the relationship between diabetic nephropathy(DN)and diabetic retinopathy(DR)in patients with type 2 diabetes mellitus(T2DM)based on imaging and clinical testing data.Methods Totally 600 T2DM patients who visited the First People's Hospital of Ziyang from March 2021 to December 2022 were included.The fundus photography and fundus fluorescein angiography were performed on all these patients and their age,gender,T2DM duration,cardiovascular diseases,cerebrovascular disease,hypertension,smoking history,drinking history,body mass in-dex,systolic blood pressure,diastolic blood pressure and other clinical data were collected.The levels of fasting blood glu-cose(FPG),triglyceride(TG),total cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),low-density lipo-protein cholesterol(LDL-C),glycosylated hemoglobin(HbA1c),24 h urinary albumin(UAlb),urinary albumin to creati-nine ratio(ACR),serum creatinine(Scr)and blood urea nitrogen(BUN)were measured.Logistic regression was used to analyze the risk factors associated with DR.DR staging was performed according to fundus images,and the convolutional neural network(CNN)algorithm was used as an image analysis method to explore the correlation between DR and DN based on emission computed tomography(ECT)and clinical testing data.Results The average lesion area rates of DR and DN detected by the CNN in the non-DR,mild-non-proliferative DR(NPDR),moderate-NPDR,severe-NPDR and pro-liferative DR(PDR)groups were higher than those obtained by the traditional algorithm(TCM).As DR worsened,the Scr,BUN,24 h UAlb and ACR gradually increased.Besides,the incidence of DN in the non-DR,mild-NPDR,moderate-NPDR,severe-NPDR and PDR groups was 1.67％,8.83％,16.16％,22.16％and 30.83％,respectively.Logistic regression analysis showed that the duration of T2DM,smoking history,HbA1c,TC,TG,HDL-C,LDL-C,24 h UAlb,Scr,BUN,ACR and glomerular filtration rate(GFR)were independent risk factors for DR.Renal dynamic ECT analysis demonstrated that with the aggravation of DR,renal blood flow perfusion gradually decreased,resulting in diminished renal filtration.Conclusion The application of CCN in the early stage DR and DN image analysis of T2DM patients will improve the diag-nosis accuracy of DR and DN lesion area.The DN is worsening as the aggravation of DR.

Objective To analyze the economic burden due to healthcare-associated infection(HAI)in low birth weight(LBW)infants,and provide theoretical basis for formulating HAI related policies.Methods The data of LBW infants in a tertiary first-class hospital from January 2018 to December 2022 were retrospectively collected.Propensity score matching method and marginal analysis were adopted to evaluate the economic losses in LBW in-fants and hospitals due to HAI.Results A total of 1 048 LBW infants were included in analysis,124 of whom had HAI,with HAI incidence of 11.8％.A total of 109 pairs were successfully matched using the propensity score matching method.The median length of hospital stay for LBW infants in the HAI group and non-HAI group were 34.0 and 11.0 days,respectively,the length of hospital extended 23 days in LBW infants in the HAI group(P＜0.001).The median hospitalization expenses for LBW infants in HAI group and non-HAI group were 38 067.6 and 12 375.7 Yuan,respectively,the hospitalization expense for LBW infants in HAI group was 25 691.9 Yuan more than non-HAI group(P＜0.001).The major increased expenses were examination,treatment and medication fees.The total hospitalization expenses in different birth weight LBW infants in HAI group were all higher than non-HAI group,and the differences were all statistically significant(all P＜0.05).LBW infants with gestational age＜32 weeks had longer length of hospital stay and higher total hospitalization expense,differences were all statistically significant(all P＜0.05).When the marginal profit ratios were 5％,10％,and 15％,respectively,the economic losses caused by HAI were 371 000 Yuan,742 000 Yuan,and 1 114 000 Yuan,respectively;The ratios of loss-profit and loss-profit to infection coefficient were 0.33 and 2.79,respectively.Conclusion HAI cause significant economic losses to both LBW infants and hospitals.Infants with a birth weight ≤1 000 g and those with a gestational age＜32 weeks are key populations for prevention and control.The lost-profit to infection coefficient can be used to estimate the economic loss of the hospital,timely adjust infection control measures,and reduce the incidence of HAI.

Fe-based γ-cyclodextrin nanoparticles(Fe-γ-CD)with peroxidase-like activity were successfully synthesized through a solvothermal approach for establishing a simple and sensitive sarcosine(SAR)assay method.Fe-γ-CD could catalyze the oxidation of colorless 3,3′,5,5′-tetramethylbenzidine(TMB)to blue oxidized TMB(oxTMB)in the presence of H2O2,accompanied by a characteristic absorption peak centered at 652 nm.The effects of reaction conditions were investigated,and the catalytic mechanism as well as the steady-state kinetics were analyzed.Fe-γ-CD could catalyze H2O2 to generate hydroxyl radical,singlet oxygen and superoxide radical,these reactive oxygen species with robust oxidizability further oxidized TMB.This process followed a typical Michaelis-Menten kinetic model.With the assistance of sarcosine oxidase(SOx),SAR was hydrolyzed into H2O2 to trigger Fe-γ-CD catalyzed chromogenic reaction,resulting in deepened color and increased absorbance.The degree of colorimetric signal change was related to SAR concentration and thus SAR could be quantitatively detected.The linear range and detection limit were 1.0-70.0 μmol/L and 0.46 μmol/L,respectively.Typical amino acids and metal ions had no obvious interference on SAR detection,indicating a good selectivity.The method was successfully applied to determination of SAR level in serum with satisfactory results.

Objective:To analyze the clinical phenotypes and genotypes of a family with posterior segment microphthalmia-retinoschisis and drusen syndrome.Methods:A pedigree investigation study was conducted.A family with four members across two generations treated at Shenzhen Eye Hospital in July 2021 was enrolled.Detailed ophthalmic examinations, including best corrected visual acuity (BCVA), intraocular pressure, slit-lamp microscopy, color fundus photography, optical coherence tomography (OCT), anterior segment OCT, fundus fluorescein angiography (FFA), and visual field tests were performed in the four members.Peripheral venous blood samples were collected from members for whole exome sequencing and data analysis.The pathogenicity of novel variant sites was assessed according to the ACMG guidelines.This study adhered to the Declaration of Helsinki.The study protocol was approved by the Ethics Committee of Shenzhen Eye Hospital (No.22KYPJ018).Written informed consent was obtained from each subject or the guardian.Results:The proband is a 14-year-old female with high hyperopia since childhood, BCVA of + 9.75 DS-0.75 DC×150°=0.9 and + 11.75 DS-1.25 DC×30°=0.7, corneal transverse diameters of 12.1 and 12.2 mm, anterior chamber depths of 2.56 and 2.92 mm, lens thicknesses of 3.92 and 3.94 mm, and axial lengths of 17.47 and 17.01 mm in the right and left eyes, respectively.Fundus photography revealed diffuse yellow-white drusen-like lesions with unclear borders in the mid-peripheral retina, while OCT showed retinoschisis in the inner nuclear layer and homogeneous mound-like elevations with hyperreflective dense spots under the retinal pigment epithelium.FFA demonstrated diffuse punctate transilllumination of the mid-peripheral retina in both eyes, and visual field tests revealed a general decrease in visual acuity.The proband's 8-year-old brother exhibited similar signs to the proband.The consanguineously married parents were phenotypically normal.Whole exome sequencing identified compound heterozygous mutations in the membrane frizzled-related protein ( MFRP) gene in the proband and her brother, c.1150_1151insC (p.His384Profs*8) in exon 5 and c. 498_499insC (p.Asn167Glnfs*34) in exon 10.The father carried the c. 498_499insC mutation, while the mother carried the c.1150_1151insC mutation.Both were frameshift mutations predicted to alter gene function.These novel mutations had not been reported in the ESP, 1 000 Genomes (Phase 3), or ExAC databases, indicating they are novel variants.The variants co-segregated with the disease and both were classified as pathogenic according to ACMG guidelines.Based on the clinical and genetic findings, the family was diagnosed with posterior segment microphthalmia-retinoschisis and drusen syndrome, inherited in an autosomal recessive manner. Conclusions:The MFRP gene mutations c. 1150_1151insC and c. 498_499insC are the pathogenic variants for the posterior segment microphthalmia-retinoschisis and drusen syndrome in this family, and these compound heterozygous mutations are reported for the first time.

Objective To explore the relationship between serum ferritin levels and body fat distribution in patients with type 2 diabetes mellitus(T2DM).Methods A retrospective analysis was conducted on 151 patients with T2DM who were hospitalized in the Department of Endocrinology of the First Hospital of Lanzhou University from June to November 2020,and all the patients were divided into high serum ferritin(n=50)and normal serum ferritin(n=101)groups according to their serum ferritin levels.The visceral fat area(VFA),subcutaneous fat area(SFA),liver fat,height,weight and waist circumference(WC)were measured,as well as blood glucose,lipid indexes,body mass index(BMI)and visceral adiposity index(VAI)were also calculated.t-test or nonparametric test was used to compare the differences between the two groups,and the relationship between serum ferritin levels and body fat distribution was analyzed by Pearson or Spearman correlation analysis,multiple linear regression and logistic regression.Results The VAI and WC were significantly higher in high serum ferritin group[3.13(2.16,4.58)and(96.66±7.78)cm]than in normal serum ferritin group[2.66(1.66,3.81)and(91.96±9.75)cm,P<0.05].The prevalence of central obesity and dyslipidemia was higher in high serum ferritin group(88.0%and 90.0%)than in normal serum ferritin group(68.3%and 75.2%);and the composition ratios of poor glycemic control and insulin resistance(96.0%and 62.0%)were also higher than in normal serum ferritin group(78.2%and 40.6%)(P<0.05),there were no statistically significant differences in BMI,VFA,and SFA levels,as well as antidiabetic drug use and chronic complications of diabetes mellitus between the two groups(P>0.05).Serum ferritin levels in T2DM patients were positively correlated with VAI,WC,triglyceride(TG),fasting blood glucose(FPG),HbA1c,dyslipidemia and serum creatinine(r=0.171,0.207,0.187,0.243,0.270,0.162,0.162;P<0.05),and negatively correlated with age,sex and diabetes course(r=-0.191,-0.434,-0.352;P<0.05).Multivariate linear regression analysis showed that in male T2DM patients,duration of diabetes and FPG were risk factors for increased levels of serum ferritin.However,WC and VAI did not significantly affect serum ferritin levels.In female patients with T2DM,the course of diabetes,TG and VAI were the factors influencing serum ferritin(P<0.05).Conclusion Dyslipidemia and visceral fat accumulation are risk factors for elevated serum ferritin levels in female T 2DM patients.

Hydroxychloroquine is widely used in a variety of autoimmune diseases. However, long-term use of hydroxychloroquine can cause severe retinopathy, which has a complex pathogenic mechanism and diverse clinical manifestations, mainly manifested as photoreceptor and retinal pigment epithelial damage and irreversible vision loss. Identifying damage before retinitis pigment epithelium lesions preserve central vision, so early detection is crucial to slow disease progression and reduce vision loss. The development of multimodal imaging technology and the issuance of the latest treatment guidelines provide a powerful tool for the early screening and treatment of hydroxychloroquine retinopathy. Proficient in the latest guidelines for the treatment of hydroxychloroquine can better guide clinicians to do a good job in disease screening and management, recommend risks, safe dosages and appropriate screening procedures to patients and strengthen the prevention of hydroxychloroquine retinopathy, which will help save the vision of more patients and reduce the waste of medical resources.