Objective: To develop a prediction model for mild cognitive impairment (MCI) risk among the elderly, so as to provide a tool for MCI early screening. Methods : From July 2022 to September 2024, a multi-stage stratified random cluster sampling method was used to recruit permanent residents aged ≥65 years from the Xinjiang Uygur Autonomous Region as study participants. Data on sociodemographic characteristics, nutritional status, body composition indices, bone mineral density, and handgrip strength were collected through questionnaires and physical examinations. Sarcopenia was defined based on appendicular skeletal muscle index and handgrip strength. MCI was assessed using the Mini-Mental State Examination, with adjustments for educational level. Participants were randomly divided into a training set and a validation set in a 7∶3 ratio. LASSO regression and multivariable logistic regression models were employed to screen for predictors and construct an MCI risk prediction model. The predictive performance of the model was evaluated using receiver operating characteristic (ROC) curve and decision curve analysis (DCA). Results: A total of 1 641 participants were surveyed, including 755 males (46.01%) and 886 females (53.99%). The majority of participants were aged 65-<75 years, comprising 1 154 individuals (70.32%). MCI was detected in 517 participants, corresponding to a detection rate of 31.51%. Resultsfrom LASSO regression and multivariate logistic regression analysis showed that residence (rural, OR = 2.323, 95% CI: 1.682-3.210), age (75-<85 years, OR = 1.405, 95% CI: 1.019-1.937; ≥85 years, OR = 3.655, 95% CI: 1.696-7.875), educational level (primary school, OR = 0.341, 95% CI: 0.247-0.472; junior high school, OR = 0.255, 95% CI: 0.160-0.408; high school, OR = 0.286, 95% CI: 0.154-0.531; bachelor's degree or above, OR = 0.120, 95% CI: 0.041-0.351), history of alcohol consumption (yes, OR = 3.216, 95% CI: 2.164-4.779), risk of malnutrition (yes, OR = 1.464, 95% CI: 1.064-2.014), sarcopenia (yes, OR = 3.197, 95% CI: 2.332-4.385), and waist-to-hip ratio (abnormal, OR = 1.540, 95% CI: 1.159-2.048) were identified as predictive factors for MCI among the elderly. In the training set, the area under the ROC curve, sensitivity, and specificity were 0.788, 0.719, and 0.712, respectively. In the validation set, the corresponding values were 0.784, 0.913, and 0.542, respectively. DCA demonstrated that the model provided a higher clinical net benefit for predicting MCI risk when the risk threshold probability ranged from 0.124 to 0.764. Conclusion The prediction model developed in this study demonstrates good discriminative ability and clinical utility, indicating its substantial value for predicting the MCI risk among the elderly.

Colorectal cancer (CRC) is the third most commonly diagnosed malignancy and the second leading cause of cancer-related mortality worldwide. Despite therapeutic advancements over recent decades, the prognosis for patients with metastatic CRC (mCRC) remains poor. Approximately 2%-4% of mCRC cases exhibit human epidermal growth factor receptor 2 (HER2) amplification or overexpression, defining a distinct molecular subtype. This HER2-positive status is strongly associated with primary resistance to anti-epidermal growth factor receptor (EGFR) therapies, which are the standard of care for patients with RAS wild-type tumors. Beyond its well-established role in breast and gastric cancers, HER2 has emerged as a pivotal biomarker and actionable therapeutic target in mCRC. However, selecting appropriate treatment strategies remains challenging due to patient heterogeneity and diverse molecular subtypes. This review systematically summarizes the molecular biology, diagnostic strategies, and advances in targeted therapies for HER2-positive mCRC. On the diagnostic front, we discuss the applications of immunohistochemistry (IHC), fluorescence in situ hybridization (FISH), next-generation sequencing (NGS), and circulating tumor DNA (ctDNA) detection technologies. We highlight discrepancies in diagnostic criteria across key clinical trials—such as HERACLES, DESTINY, and MOUNTAINEER—underscoring the urgent need for standardized, CRC-specific definitions to ensure consistent patient selection and comparability of efficacy data across studies. Although NGS enables comprehensive genomic profiling, its cost-effectiveness relative to traditional methods must be carefully considered. Therapeutically, we summarize clinical trial data for HER2-directed agents, including tyrosine kinase inhibitors (TKIs) such as tucatinib and lapatinib, monoclonal antibodies like trastuzumab, bispecific antibodies, and antibody-drug conjugates (ADCs) such as trastuzumab deruxtecan. We review dual-targeting strategies and note recent FDA approvals that represent significant milestones in second-line treatment. Additionally, we explore the potential of combining immune checkpoint inhibitors with HER2-targeted therapies to enhance antitumor immunity through mechanisms including antibody-dependent cellular cytotoxicity (ADCC) and modulation of the tumor microenvironment. ADCs enable precise delivery of cytotoxic payloads, reducing off-target toxicity while effectively inhibiting oncogenic pathways. A substantial portion of this review is dedicated to dissecting the molecular mechanisms underlying primary and acquired resistance to HER2-targeted therapies—persistent challenges that limit clinical benefit. These mechanisms include reactivation of downstream signaling pathways such as PI3K/AKT/mTOR and MAPK, concurrent mutations in genes like KRAS or BRAF, and alterations in HER2 expression that compromise treatment efficacy. For instance, specific HER2 mutations (e.g., L755S) can reduce drug binding affinity, while ctDNA monitoring facilitates early detection of emerging resistance clones during disease progression, thereby enabling timely therapeutic adjustments. Tumor heterogeneity and dynamic interactions with the microenvironment further complicate resistance patterns observed in clinical practice. HER2-targeted therapy represents a new frontier in precision oncology for mCRC, offering renewed hope for improving patient outcomes. Realizing this potential will require continued optimization of diagnostic algorithms and treatment workflows. Future efforts must focus on overcoming resistance, validating liquid biopsy approaches for dynamic monitoring, and establishing unified clinical guidelines. HER2 has become an essential biomarker for stratifying mCRC patients beyond traditional RAS and BRAF status, underscoring the shift from empiric treatment to biomarker-driven precision medicine. International, multidisciplinary collaboration will be critical to validate emerging biomarkers and refine treatment algorithms globally.

Benign paroxysmal positional vertigo（BPPV）is a common peripheral vestibular disorder，and at present，otolith shedding and displacement is highly recognized as the main pathological mechanism of BPPV. An increasing amount of evidence has shown that otolith particle shedding is closely associated with vitamin D，and 25-（OH）D is expected to become a potential biomarker for BPPV and an important target for the treatment of BPPV and residual symptoms after successful repositioning. This article reviews the pathophysiological mechanism of vitamin D in BPPV and residual dizziness and summarizes the association of vitamin D with BPPV and residual symptoms based on the treatment methods for vitamin D regulation.
Vitamin D

Objective Toestablishanultra-performanceliquidchromatography-quadrupole-electrostaticfieldorbitraptandem mass spectrometry(UPLC-Q-Orbitrap-MS/MS) analysis technology for the identification of different variants of inactivated SARS-CoV-2 vaccines(Vero cells), so as to provide a new evaluation direction for vaccine supervision.Methods Peptide samples were obtained from inactivated SARS-CoV-2 vaccines after reductive alkylation, tryptic digestion, and desalting of SDB-RPS desalting column, and then were eluted by CDS C18 column(0. 075 mm × 250 mm × 1. 9 μm) in gradient program, with 0. 1% formic acid and 3% dimethyl sulfoxide as mobile phase A, 0. 1% formic acid, 3% dimethyl sulfoxide and 80% acetonitrile as mobile phase B. The column temperature was 50 ℃, the flow rate was 300 nL/min, and the injection volume was 5 μL. Then UPLC-Q-Orbitrap-MS/MS analysis technology was established, the mass spectrometry detection was scanned by data-dependent acquisition(DDA) mode, and the sample peptide information was retrieved and analyzed by MaxQuant(V 2.4.2.0) software.Results The established method was used to analyze and determine the inactivated SARSCoV-2 vaccines(Vero cells) of different variants, and the conserved peptides and characteristic peptide sequences of S protein and N protein of different variants of SARS-CoV-2 were screened and extracted, and the peptide mass-to-charge ratio(m/z) was combined to obtain the specific protein database of different variants. By comparing the peptide information detected by the mass spectrometry of the sample, it is possible to identify different variants of inactivated SARS-CoV-2vaccines(Vero cells).Conclusion The UPLC-Q-Orbitrap-MS/MS analysis technology established in this study has the advantages of high sensitivity, rapidity and strong specificity, which can be effectively used for the identification and screening of strains of inactivated SARS-CoV-2 vaccines(Vero cells), can provide a technical reference for the identification of SARS-CoV-2 species in other viral vaccines or biological samples, and provide a new perspective for the quality and safety supervision of vaccines.

ObjectiveTo investigate the relationship between mitochondrial DNA copy number (mtDNAcn) and cognitive dysfunction, and its mediating role between type 2 diabetes mellitus (T2DM) and cognitive dysfunction. MethodsA case-control study was conducted from May 2019 to April 2021 at the Shanghai Yangpu District Central Hospital, China. A total of 193 subjects were recruited and divided into two groups based on the Montreal Cognitive Assessment (MoCA): normal control (NC) group (n=95) and cognitive impairment group (n=98). The prevalence of T2DM was determined on the basis of medical history, while mtDNAcn in peripheral blood samples was quantified using realtime fluorescent quantitative polymerase chain reaction. ResultsUnivariate analyses revealed that the mean mtDNAcn in the cognitive impairment group was 0.76±0.37, significantly lower than that in the NC group (1.06±0.45) (P<0.05). Logistic regression analyses showed that higher mtDNAcn was associated with a reduced risk of cognitive impairment (OR=0.315, 95%CI: 0.125‒0.795). Additionaly, a statistically significant positive correlation was observed between mtDNAcn and the total MoCA score (r=0.381, P<0.01). Morever, T2DM history (OR=2.741, 95%CI: 1.002‒7.497) and elevated glycosylated hemoglobin (HbA1c) levels (OR=1.796, 95%CI: 1.190‒2.711) were identified as risk factors for cognitive impairment. Mediation analyses indicated that mtDNAcn served as a mediator between T2DM/HbA1c and the risk of cognitive impairment, with proportions of mediating effect of 9.04% and 9.18%, respectively. ConclusionPatients with mild and moderate cognitive impairment have significantly lower mtDNAcn than those with normal cognitive function. Reduced mtDNAcn is an influencing factor for cognitive dysfunction and may play a mediating role in the association between T2DM and mild to moderate cognitive impairment.

Objective: To develop a simple digital chylous plasma device and validate its ability to accurately, standardly, and non-destructively determine chylous plasma in blood banks and clinical transfusions in hospitals. Methods: A digital chylous plasma assessment device was designed and manufactured. This device was used to measure the chylous degrees of chylous plasma samples before freezing, after freeze-thawing, before viral inactivation, and after viral inactivation. The measured chylosity index values were categorized according to the requirements specified in Appendix A of the Chinese national standard GB 18469-2001 "Quality Requirements for Whole Blood and Blood Components". This process established a digital standard for chylous plasma, enabling the identification of severe, moderate and mild chylous plasma, and non-chylous plasma. Results: The initial simple product of the digital chylous assessment device was successfully designed and manufactured. There was no significant difference in the degree of chylous plasma between pre-freezing 468.11±217.73 lux and post-thawing 538.91±273.39 lux of chylous plasma (P>0.05), or between pre-viral inactivation 858.33±387.79 lux and post-viral inactivation 928.33±166.51 lux of chylous plasma (P>0.05). The median of chylous degree values for plasma chylous index grades 0 to 6 were 45 lux, 250 lux, 620 lux, 835 lux, 1 130 lux, 1 390 lux, and 1 700 lux, respectively. The defined cutoff values/ranges for the chylous degree values corresponding to plasma chylous index grade 0 to 6 were ≤125 lux, 126-465 lux, 466-740 lux, 741-1 000 lux, 1 001-1 233 lux, 1 234-1 560 lux, and ≥1 561 lux. Conclusion: This study successfully developed the initial product of the digital chylous device and established digital standards for classifying chylous plasma. The device demonstrates the potential to meet the needs for assessment of chylous plasma in both blood banks and clinical transfusions in hospitals, thereby promoting the development and application of standardized, non-destructive chylous plasma assessment technology.

OBJECTIVE To analyze the clinical characteristics and influential factors of drug-induced liver injury （DILI） in children caused by intravenous azithromycin. METHODS Clinical data of 157 DILI pediatric cases caused by intravenous azithromycin， reported by the Hengshui Adverse Drug Reaction Monitoring Center from January 2015 to January 2025， were collected as the observation group. Clinical data of pediatric patients who received intravenous azithromycin but did not develop DILI during the same period at Hengshui People’s Hospital were collected in a 1∶1 ratio to serve as the control group. The clinical classification， severity and prognosis of DILI in pediatric patients from the observation group were analyzed. Univariate and multivariate Logistic regression analyses were used to screen the independent risk factors for DILI in children caused by intravenous azithromycin. RESULTS Among 157 DILI cases， 92 cases （58.60%） had hepatocellular injury-type， 51 cases （32.48%） had cholestatic-type， and 14 cases （8.92%） had mixed-type. DILI severity was grade 1 in 117 cases （74.52%）， grade 2 in 33 cases （21.02%）， and grade 3 in 7 cases （4.46%）. Liver function had all recovered after stopping medication and symptomatic treatment. Combined with acetaminophen [OR＝3.769， 95%CI （1.615， 8.235）， P＝0.021]， daily dose of azithromycin＞10 mg/kg [OR＝ 2.237， 95%CI （1.075， 4.655）， P＝0.034] were independent risk factors for DILI in children caused by intravenous azithromycin. CONCLUSIONS Hepatocellular injury-type and cholestatic-type are relatively common in children with DILI caused by intravenous azithromycin， with mild severity being predominant and showing a favorable prognosis. Combination with acetaminophen and daily dose＞10 mg/kg are independent risk factors for azithromycin-induced DILI in children.

Objective:To describe the prevalence of anxiety disorders and its distribution in Inner Mongolia Autonomous Region,and to explore the relevant factors of anxiety disorders.Methods:From June 2019 to Decem-ber 2019,representative multi-stage disproportionate stratified sampling procedure was used to sample in residents aged 18 and over in the Inner Mongolia Autonomous Region.All respondents were face-to-face interviewed by trained interviewers.Composite International Diagnostic Interview-3.0(CIDI-3.0)was used to diagnose anxiety disorders according to the criteria and definition of the Diagnostic and Statistical Manual of Mental Disorders,Fourth Edition(DSM-Ⅳ).Chi-square test and multivariate logistic regression analysis were used for statistical anal-ysis.Results:Totally 12 315 people were interviewed in the survey.The weighted 12-mouth prevalence rate of any anxiety disorder was 4.64％,and the lifetime prevalence rate was 6.25％.The weighted 12-month prevalence rate of anxiety disorders was higher in female than that in male(5.38％vs.3.92％).The rate was higher in rural resi-dents than that in urban residents(5.67％vs.3.95％).The rate was higher in people with chronic diseases than that in people without chronic diseases(6.81％vs.2.29％).Logistic regression analysis showed that unmarried(OR=2.32,95％CI:1.31-4.10),separated/divorced(OR=2.49,95％CI:1.33-4.67),in debt(OR=1.55,95％CI:1.04-2.32),chronic disease(OR=2.22,95％CI:1.39-3.53),family history of anxiety disorders(OR=12.05,95％CI:8.78-16.53),poor sleep(OR=2.64,95％CI:1.97-3.54)were risk factors of occurrence of anxiety disorders,while junior high school(OR=0.65,95％CI:0.44-0.96)was protective factor of anxiety disor-ders.Conclusion:Adults with chronic diseases,poor sleep,unmarried or separated/divorced,family history of anxi-ety disorders,and financial debt are at higher risk groups of anxiety disorder in Inner Mongolia Autonomous Re-gion.

Objective To investigate the changing prevalence and antimicrobial resistance profiles of carbapenem-resistant Enterobacterales(CRE)in Xinjiang Uygur Autonomous Region from 2017 to 2021.Methods Relevant CRE data in hospitals across Xinjiang from 2017 to 2021 were summarized according to the unified protocol of the National Antimicrobial Resistance Surveillance Network.The data were statistically analyzed by WHONET 5.6 software.Results A total of 5 071 CRE strains were identified from 165 786 strains of Enterobacterales in Xinjiang in the five-year period.The prevalence of CRE was 2.8％in 2017,3.2％in 2018,2.9％in 2019,3.1％in 2020,and 3.2％in 2021.The highest prevalence(3.3％)was in northern Xinjiang and the lowest prevalence(0)was in eastern Xinjiang.The prevalence of CRE in tertiary hospitals was higher than that in secondary hospitals.The top three species among the 5 071 CRE strains were carbapenem-resistant Klebsiella pneumoniae,carbapenem-resistant Escherichia coli,and carbapenem-resistant Enterobacter cloacae.The CRE strains were mainly isolated from the patients in ICU(34.6％),respiratory ICU(8.1％),neurosurgery(7.5％),and respiratory medicine(5.2％).The distribution of CRE species varied with patient age and gender.The carbapenem-susceptible Enterobacterales and CRE strains isolated from children were less resistant to the commonly used antibiotics in clinical practice than the corresponding strains isolated from adult patients.Conclusions The prevalent CRE strains from patients in Xinjiang are still serious.It is necessary to strengthen the surveillance of bacterial resistance and carry out multidisciplinary linkage to curb the spread and outbreak of CRE.

Objective:To describe the prevalence and distributions of mood disorder in Inner Mongolia Au-tonomous Region,and analyze the related risk factors.Methods:The multistage stratified sampling method with un-equal probability was used to select permanent residents aged 18 years and over in Inner Mongolia Autonomous Re-gion.The Composite International Diagnostic Interview 3.0 was used as a diagnostic tool.Mood disorders were di-agnosed according to the Diagnostic and Statistical Manual of Mental Disorders Fourth Edition(DSM-Ⅳ).Single and multivariate analyses were used to investigate the related factors of mood disorders.Results:Totally,12 315 community residents were interviewed in the survey.The weighted 12-month prevalence and lifetime prevalence of mood disorder were 5.4％and 8.7％,respectively.Weighted 12-month prevalence of depressive disorder was 4.9％,and that of bipolar disorder was 0.3％.Among all subtypes of mood disorder,the 12-month prevalence rate of major depressive disorder(3.1％)was the highest.Multivariate logistic regression analysis showed that female,unmarried,separated or divorced,unemployment,family history,other mental disorders,sleep disorders and chronic diseases(OR=1.56,2.80,2.07,1.42,13.46,7.97,3.23,2.13)were risk factors of mood disorder,while aged 65 years and over(OR=0.44)was protective factor of mood disorders.The lifetime consultation rate in patients with mood disorders was 15.5％,the rate of psychiatric consultation was 3.7％,the rate of medication was 1.8％.Con-clusion:It indicates that female residents and people who are unmarried,separated and divorced,unemployed,with family history,suffering from other mental disorders,suffering from sleep disorders,and suffering from chronic dis-eases may be high risk groups of mood disorders,and the utilization rate of health services is rather low in Inner Mongolia Autonomous Region.