AIM: To explore the risk factors for postoperative anterior chamber exudation in cataract patients and construct a nomogram prediction model.METHODS: Retrospective study. From July 2019 to October 2024, 450 patients(467 eyes)with age-related cataract who underwent surgery in our hospital were collected as the study subjects. They were randomly grouped into a modeling group(315 cases, 327 eyes)and a validation group(135 cases, 140 eyes)roughly estimated at a 7:3 ratio using the random number table method. Both groups were separated into a non-exudative group and an exudative group based on whether anterior chamber exudation occurred after surgery. Clinical basic data was collected; multivariate Logistic regression was applied to analyze the influencing factors of anterior chamber exudation in patients with age-related cataract after surgery; R software was applied to draw a nomogram prediction model of anterior chamber exudation in patients with age-related cataract after surgery; the calibration curve and Hosmer Lemeshow(H-L)test were applied to evaluate the calibration of the column plot model in predicting the occurrence of anterior chamber exudation in patients with age-related cataract after surgery; ROC was applied to evaluate the efficacy of anterior chamber exudation in patients with age-related cataract after surgery.RESULTS:The clinical characteristics of the modeling group and the validation group were comparable. The high myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens were the influencing factors for postoperative anterior chamber exudation in patients with age-related cataract(all P<0.05). The results of the modeling group verifying the occurrence of anterior chamber exudation in patients with age-related cataract after surgery showed that the area under the ROC curve(AUC)was 0.986(95% CI: 0.966-0.996), the H-L test was χ2=6.494, P=0.592, indicating that the risk of anterior chamber exudation in patients with age-related cataract after surgery predicted by model had good consistency with actual risks, the AUC of postoperative anterior chamber exudation in patients with age-related cataract based on external validation was 0.982(95% CI: 0.960-0.994); and the H-L test suggested that the risk of anterior chamber exudation in CAT patients after surgery predicted by model had good consistency with actual risks(χ2=6.117, P=0.634).CONCLUSION:High myopia, history of uveitis, preoperative intraocular pressure, lens nuclear grade, intraoperative cumulative dissipated energy, and intraoperative posterior capsular rupture of the lens are risk factors for postoperative anterior chamber exudation in patients with age-related cataract; the nomogram prediction model constructed based on this has high predictive value, and can provide reference for individualized prevention of anterior chamber exudation in patients with age-related cataract after surgery.

Objective: To evaluate the clinical efficacy and safety of injectable platelet-rich fibrin (i-PRF) in the treatment of mild to moderate female pattern hair loss (FPHL), and to analyze the related clinical factors affecting the therapeutic efficacy of i-PRF. Methods: This was a secondary analysis of a prospective, randomized controlled trial. A total of 29 FPHL patients with Sinclair grade Ⅱ-Ⅲ, who attended the outpatient clinics of Beijing Friendship Hospital, Capital Medical University and Peking University Third Hospital from March 2024 to April 2025, were enrolled. All patients received i-PRF treatment once every 4 weeks for a total of 4 sessions, with follow-up up to 24 weeks. Standardized clinical photographs were taken at baseline, week 12 and week 24. Trichoscopic examination was performed to measure the non-vellus target area hair count (TAHC) and hair diameter (HD) in the target area, and all adverse events were recorded. The Mann-Whitney U test was used to compare the intergroup differences in efficacy for categorical influencing factors; Spearman rank correlation analysis was employed to assess the correlation between continuous influencing factors and efficacy; and multiple linear regression (enter method) was performed to identify independent influencing factors of efficacy. Results: A total of 27 patients completed the trial. At week 12, TAHC significantly increased from 112 (105, 120) hairs/cm at baseline to 128 (110, 150) hairs/cm , with a median increase of 12 (5, 28) hairs/cm and a median growth rate of 10.5 (4.2, 24.5)% (P=0.045); hair diameter significantly increased from 42.5 (39.8, 45.2) μm to 52.0 (47.0, 58.0) μm, with a median increase of 7.5 (3.0, 12.5) μm and a median growth rate of 18.0 (7.5, 29.0)% (P<0.001). At week 24, TAHC further significantly increased to 141 (125, 158) hairs/cm (P<0.001), with a median growth rate of 24.8 (18.5, 32.0)%; hair diameter continued to improve to 55.0 (50.0, 61.0) μm (P=0.008), with a median growth rate of 21.5 (16.0, 27.0)%. The overall incidence of adverse events was 10.34% (3/29), mainly presenting as mild scalp pruritus and transient headache, without severe adverse effects. Multiple linear regression analysis revealed that baseline TAHC was an independent influencing factor for i-PRF efficacy (P<0.05), while age, BMI, disease duration, Sinclair grade, family history of AGA, and baseline HD showed no significant independent effect on efficacy in this model (P>0.05). Conclusion: This preliminary study indicates that i-PRF can improve hair density and hair shaft diameter in patients with FPHL with a favorable safety profile. Patients with FPHL and lower baseline TAHC may achieve greater clinical improvement.

OBJECTIVE To evaluate the clinical efficacy of Chaihu anxin capsules in the treatment of mild-to-moderate depression， analyze the influencing factors of its efficacy, construct a nomogram prediction model.METHODS Patients with mild-to-moderate depression treated at The First Hospital of Hebei Medical University from May 1， 2023 to March 10， 2025 were retrospectively included and categorized into Chaihu anxin capsules group and milnacipran group according to treatment regimen. Propensity score matching （PSM） was used to balance baseline characteristics， and treatment efficacy was compared after 8 weeks， including 24 Hamilton Depression Scale （HAMD-24） scores and changes， Hamilton Anxiety Scale （HAMA） scores and changes， and treatment response rate after 8 weeks of treatment. Patients receiving Chaihu anxin capsules were further classified as responders or non-responders based on the occurrence of treatment response. Univariate and multivariate Logistic regression analyses were conducted to identify the influencing factors of treatment response， and a nomogram model was constructed to predict the probability of treatment response， its predictive performance was evaluated using receiver operating characteristic （ROC） curves， calibration curves， and decision curve analysis.RESULTS A total of 297 patients were included before PSM， including 196 patients in the Chaihu anxin capsules group and 101 patients in the milnacipran group. After PSM， each group included 44 patients. After PSM， the HAMD-24 scores and HAMA scores at 8 weeks after treatment in the Chaihu anxin capsules group， as well as the HAMD-24 scores in the milnacipran group， were significantly lower than their respective baseline values （ P ＜0.05）； the change in HAMA score in the Chaihu anxin capsules group was significantly greater than that in the milnacipran group （ P ＝0.04）. Multivariable Logistic regression identified age， total bilirubin， and baseline HAMD-24 score as independent predictors of treatment response （ P ＜0.05）. The area under the ROC curve of the constructed nomogram prediction model was 0.72 （95% confidence interval： 0.637-0.799）， and the corrected Brier score was 0.143 （95% confidence interval： 0.112-0.176）； compared with the “all intervention” and “all non intervention” strategies， applying this nomogram prediction model could achieve higher net benefits within the threshold probability range of 8% to 37%.CONCLUSIONS The efficacy of Chaihu anxin capsules in improving mild-to-moderate depression is comparable to that of milnacipran， and it has certain advantages in improving anxiety symptoms； age， total bilirubin， and baseline HAMD-24 score are independent influencing factors for the treatment response of Chaihu anxin capsules. The nomogram prediction model constructed based on these factors has good discrimination， calibration， and clinical applicability.

The sensitive scalp is a complex syndrome characterised by abnormal nerve sensations, such as stinging, itching, burning, and tightness, and diminished tolerance to physical or chemical stimuli that would not typically cause such unpleasant responses, with its pathology involving physical barrier destruction at the stratum corneum level, neural hyperreactivity and sensory nerve sensitization, and local immunological dysregulation and chronic low‑grade inflammation. The homeostasis of the scalp microenvironment plays a crucial regulatory role in maintaining the hair follicle growth cycle, yet this “soil” factor has long been underappreciated in hair loss research, which has traditionally centered on intrinsic follicular defects, such as genetic predisposition or androgen-driven mechanisms. In this review, we summarized the potential mechanisms underlying the imbalance in the “barrier-neural-immune” network in sensitive scalps. Sensitive scalp is further manifested as impaired skin barrier, including increased transepidermal water loss and abnormal lipid secretion. These alterations are accompanied by increased surface pH, excessive secretion of sebum rich in free fatty acids, reduced microbial diversity, and dysbiosis characterized by a reduction in Cutibacterium and an increase in Staphylococcus colonization. Mechanistically, we also analyzed how neurogenic inflammation, mediated by substances such as substance P (SP) and calcitonin gene-related peptide (CGRP), along with persistent low-grade inflammation, disrupts the microenvironment of the hair follicle stem cell niche through mechanisms involving mechanosensitive ion channels (e.g., Piezo1), oxidative stress, and cytokine cascades. When the barrier is compromised, the weakened stratum corneum may facilitate the penetration of external stimuli, sensitizing cutaneous nerve endings. Those hyperresponsive nerves then fire off neuropeptides like substance P and CGRP. These peptides activate mast cells and other immune cells via the MrgprB2 receptor, prompting degranulation and a wave of pro-inflammatory mediators that kick off neurogenic inflammation. At the same time, oxidative stress and inflammatory cytokines drive a persistent low-grade inflammation that directly damages the hair follicle stem cell niche. Physical compression from shrinking hair shafts activates Piezo1 channels, setting off calcium influx and Caspase‑3‑dependent apoptotic signaling. We primarily considered the interactions between inflammatory signaling and the sensitization of the androgen receptor (AR) pathway, as well as the inhibition of the Wnt/β‑catenin pathway, which may subsequently contribute to hair follicle miniaturization and disruption of the growth cycle. The inflammatory microenvironment appears to boost AR expression in dermal papilla cells, making them more sensitive to dihydrotestosterone (DHT). This heightened sensitivity may promote the expression of transforming growth factor-β1 (TGF-β1), TGF-β2, and Dickkopf-1 (DKK1), which suppress the Wnt/β‑catenin pathway—essential for follicle growth and regeneration—potentially accelerating follicular miniaturization and stalling the growth cycle. Coupled with direct inflammatory apoptosis, oxidative stress, and circadian disruption, these routes may collectively speed up hair follicle stem cell depletion and diffuse hair thinning. These findings point to the need for more mechanistic and translational research to test the proposed pathways and explore therapies that target the microenvironment in sensitive scalp-related hair loss. Ultimately, we hope to provide theoretical support for the intervention of hair loss by restoring the steady state of the scalp microenvironment and combining with new precision delivery technologies such as microneedles.

ObjectiveTo identify protein biomarkers and potential therapeutic targets associated with metabolic dysfunction-associated fatty liver disease （MAFLD） through an integrative multi-omics analysis. MethodsLarge-scale plasma protein quantitative trait locus data were integrated with MAFLD genome-wide association study data， and a proteome-wide Mendelian randomization analysis was performed. Summary data-based Mendelian Randomization （SMR）/heterogeneity in dependent instruments （HEIDI） test and colocalization analysis were used to assess significant proteins. The independent samples t-test was used for comparison of continuous data with homogeneity of variance between two groups， and the Welch-corrected t-test was used for comparison of continuous data with heterogeneity of variance. The transcriptomic validation results were compared with the Mendelian randomization results to evaluate the changing trends of gene expression， and boxplots were used to display the expression distribution of candidate genes between groups. ResultsAmong 7 130 proteins analyzed， 40 showed a causal relationship with MAFLD， among which 26 increased the risk of MAFLD and 14 exerted a protective effect against MAFLD （FDR<0.05）. Nine proteins were supported by SMR/HEIDI （P_SMR<0.05， P_HEIDI>0.05）， and 14 showed a strong colocalization signal （PPH₄>0.9）. The transcriptomic analysis identified 5 differentially expressed proteins （all P<0.05）， i.e.， adenosine diphosphate-ribosylation factor-like GTPase 2， insulin-like growth factor binding protein 2， casein kinase 1 delta （CSNK1D）， leucine-rich repeat neuronal 1， and moesin （MSN）. In vitro validation showed upregulated expression levels of MSN （1.612±0.346 vs 0.569±0.077， P<0.05）， 14-3-3 protein theta （YWHAQ） （1.267±0.126 vs 0.313±0.029， P<0.05）， and CSNK1D （0.871±0.025 vs 0.431±0.080， P<0.05） and a downregulated expression level of histone deacetylase 8 （0.637±0.059 vs 1.097±0.260， P<0.05） in the MAFLD cell model. Functional annotation showed that CSNK1D participated in circadian and metabolic regulation， YWHAQ modulated the Hippo pathway and lipid signal transduction， and MSN was associated with cytoskeletal remodeling and fibrogenic responses. ConclusionThe integrative proteogenomic analysis in this study shows that CSNK1D， YWHAQ， and MSN may be key mediators in the pathogenesis of MAFLD. These proteins have the potential to serve as novel biomarkers and therapeutic targets， providing new directions for research on disease mechanisms and the development of intervention strategies.

Obstructive sleep apnea (OSA) is an increasingly widespread sleep-breathing disordered disease, and is an independent risk factor for many high-risk chronic diseases such as hypertension, coronary heart disease, stroke, arrhythmias and diabetes, which is potentially fatal. The key to the prevention and treatment of OSA is early diagnosis and treatment, so the assessment and diagnostic technologies of OSA have become a research hotspot. This paper reviews the research progresses of severity assessment parameters and diagnostic technologies of OSA, and discusses their future development trends. In terms of severity assessment parameters of OSA, apnea hypopnea index (AHI), as the gold standard, together with the percentage of duration of apnea hypopnea (AH%), lowest oxygen saturation (LSpO₂), heart rate variability (HRV), oxygen desaturation index (ODI) and the emerging biomarkers, constitute a multi-dimensional evaluation system. Specifically, the AHI, which measures the frequency of sleep respiratory events per hour, does not fully reflect the patients’ overall sleep quality or the extent of their daytime functional impairments. To address this limitation, the AH%, which measures the proportion of the entire sleep cycle affected by apneas and hypopneas, deepens our understanding of the impact on sleep quality. The LSpO₂ plays a critical role in highlighting the potential severe hypoxic episodes during sleep, while the HRV offers a different perspective by analyzing the fluctuations in heart rate thereby revealing the activity of the autonomic nervous system. The ODI provides a direct and objective measure of patients’ nocturnal oxygenation stability by calculating the number of desaturation events per hour, and the biomarkers offers novel insights into the diagnosis and management of OSA, and fosters the development of more precise and tailored OSA therapeutic strategies. In terms of diagnostic techniques of OSA, the standardized questionnaire and Epworth sleepiness scale (ESS) is a simple and effective method for preliminary screening of OSA, and the polysomnography (PSG) which is based on recording multiple physiological signals stands for gold standard, but it has limitations of complex operations, high costs and inconvenience. As a convenient alternative, the home sleep apnea testing (HSAT) allows patients to monitor their sleep with simplified equipment in the comfort of their own homes, and the cardiopulmonary coupling (CPC) offers a minimal version that simply analyzes the electrocardiogram (ECG) signals. As an emerging diagnostic technology of OSA, machine learning (ML) and artificial intelligence (AI) adeptly pinpoint respiratory incidents and expose delicate physiological changes, thus casting new light on the diagnostic approach to OSA. In addition, imaging examination utilizes detailed visual representations of the airway’s structure and assists in recognizing structural abnormalities that may result in obstructed airways, while sound monitoring technology records and analyzes snoring and breathing sounds to detect the condition subtly, and thus further expands our medical diagnostic toolkit. As for the future development directions, it can be predicted that interdisciplinary integrated researches, the construction of personalized diagnosis and treatment models, and the popularization of high-tech in clinical applications will become the development trends in the field of OSA evaluation and diagnosis.

Decabromodiphenyl ether(BDE-209)and decabromodiphenyl ethane(DBDPE)are widely used brominated flame retardants,which have been detected in the atmosphere,water,soil,and various organisms.In this study,a method based on high-performance liquid chromatography-inductively coupled plasma-mass spectrometry(HPLC-ICP-MS)was developed for determination of BDE-209 and DBDPE in sediment.Firstly,the target compounds in the sediments were extracted by accelerated solvent extraction(ASE),and the extraction solvent was hexane/dichloromethane(1∶1,V/V).The extract was concentrated by rotary evaporation and purified by a composite silica gel column(6 g neutral silica gel,8 g acidic silica gel,and 4 g anhydrous sodium sulfate),concentrated by nitrogen blowing,and then re-dissolved with 1 mL of toluene for instrumental determination.The chromatographic separation was carried out on a TC-C18(2)column(250 mm×4.6 mm)with isocratic elution using methanol-isopropanol-water(89∶6∶5,V/V)as the mobile phase,and the samples were separated within 20 min.Further,the Br element was quantified by ICP-MS to realize the detection of the target.The results showed that the method established in this study exhibited good linearity(R2>0.999)in the range of 100-10000 ng/mL,and the limits of quantification(LOQs)of the method were 2.0 ng/g for BDE-209 and 10.0 ng/g for DBDPE,with the relative standard deviations(RSDs,n=3)lower than 10%,and the recoveries were in the acceptable range(80.9%-120.7%).The matrix effect was effectively controlled within 10%.In addition,by analyzing the actual sediment samples from Guangxi,a background point,and Taizhou,Zhejiang,a typical contaminated area,it was found that neither BDE-209 nor DBDPE was detected in the sediment from Guangxi,while the concentrations of BDE-209 and DBDPE in the sediment from Zhejiang ranged from 1591.8 to 3362.9 ng/g,which further demonstrated the applicability and reliability of the method for analyzing actual environmental samples.This study provided a strong technical support for the accurate detection of POPs in the environment.

Intracranial atherosclerotic stenosis (ICAS) is a common cause of ischemic stroke. The evaluation of its structure and function is of great significance for formulating clinical intervention strategies. The indications for endovascular treatment of ICAS lesions in the past were mainly based on the degree of luminal stenosis showed by cerebral angiography, which had certain limitations. The translesional pressure ratio (PR), as an important indicator for functional assessment after arterial stenosis, has gradually received attention in the evaluation of ICAS lesions in recent years. This article reviews the evaluation methods and clinical significance of PR in ICAS lesions.

Objective To examine the changing prevalence and antimicrobial resistance profiles of Burkholderia cepacia in 52 hospitals across China from 2015 to 2021.Methods A total of 9 261 strains of B.cepacia were collected from 52 hospitals between January 1,2015 and December 31,2021.Antimicrobial susceptibility of the strains was tested using Kirby-Bauer method or automated antimicrobial susceptibility testing systems according to a unified protocol.The results were interpreted according to the breakpoints released in the Clinical & Laboratory Standards Institute(CLSI)guidelines(2023 edition).Results A total of 9 261 strains of B.cepacia were isolated from all age groups,especially elderly patients.The proportion was 11.1％(1 032 strains)in children,significantly lower than the proportion in adults.About half(46.5％,4 310/9 261)of the strains were isolated from patients at least 60 years old and 42.3％(3 919/9 261)of the strains were isolated from young adults.Most isolates(71.1％)were isolated from sputum and respiratory secretions,followed by urine(10.7％)and blood samples(8.1％).B.cepacia isolates were highly susceptible to the five antimicrobial agents recommended in the CLSI M100 document(33rd edition,2023).B.cepacia isolates showed relatively higher resistance rates to meropenem and levofloxacin.However,the resistance rates to ceftazidime,trimethoprim-sulfamethoxazole,and minocycline remained below 8.1％.The percentage of B.cepacia strains resistant to levofloxacin was the highest compared to other antibiotics in any of the three age groups(from 12.4％in the patients＜18 years old to 20.6％in the patients aged 60 years or older).Conclusions B.cepacia is one of the clinically important non-fermenting gram-negative bacteria.Accurate and timely reporting of antimicrobial susceptibility test results and ongoing antimicrobial resistance surveillance are helpful for rational prescription of antimicrobial agents and proper prevention and control of nosocomial infections.

Enterobacterales are important pathogens responsible for healthcare-associated infections and can cause various severe infectious diseases.Since their first report,extended-spectrum β-lactamase-producing Enterobactera-les(ESBL-E)have become widely prevalent worldwide.These strains often exhibit multidrug resistance,signifi-cantly increase the risk of treatment failure and patient mortality.In China,the prevention and control of ESBL-E faces numerous challenges,including high prevalence rates,significant regional distribution disparities,uneven la-boratory detection capabilities,and variations in antimicrobial stewardship and prescribing practices.To address these issues,Professors Zhuo Chao,Xu Yingchun and Yu Yunsong initiated the development of the Expert consen-sus on clinical management strategies for infections caused by extended-spectrum β-lactamase-producing Ente-robacterales(2025),in collaboration with multidisciplinary experts.This consensus systematically reviews the global and domestic epidemiological characteristics of ESBL-E,clinical laboratory detection techniques,treatment principles and key therapeutic agents,as well as infection prevention and control measures.Furthermore,it elabo-rates on the microbiological features and stratified treatment strategies for infections of different sources(including bloodstream,intracranial,respiratory system,thoracic mediastinal,intra-abdominal,and urinary tract infections)and special populations(such as neutropenic patients with fever,emergency patients,and pediatric patients).The consensus aims to enhance the detection capacity of clinical laboratories for ESBL-E,standardize diagnosis and treat-ment strategies in healthcare settings,and provide scientific guidance to curb the spread of ESBL-E in China,there-by reducing associated morbidity and mortality.