Alzheimer's disease(AD)is the most common neurodegenerative disease in the elderly,and its main pathological manifestations include senile plaques formed by β-amyloid deposition and neuronal fibrillar nodules formed by hyperphosphorylation of tau proteins.Lysosome is an important organelle in eukaryotic cells,containing a variety of hydrolytic enzymes that can break down proteins and other biomolecules.It is closely related to intracellular transport and autophagy,and is important for maintaining cellular homeostasis.This review summarizes the interaction between lysosomal dysfunction and the development and progression of AD and the potential therapeutic mechanisms in treating AD by regulating and restoring the functions of lysosomes.Lysosomal dysfunction can lead to neurodegenerative diseases such as AD.Modulation of lysosomal function is a promising treatment strategy for AD.It is expected that more drugs and therapeutic regimens based on this mechanism can be used in the clinical treatment for AD patients in the future.

The focus of green analytical chemistry (GAC) is to minimize the negative impacts of analytical procedures on human safety, human health, and the environment. Several factors, such as the reagents used, sample collection, sample processing, instruments, energy consumed, and the quantities of hazardous materials and waste generated during analytical procedures, need to be considered in the evaluation of the greenness of analytical assays. In this study, we propose a greenness evaluation metric for analytical methods (GEMAM). The new greenness metric is simple, flexible, and comprehensive. The evaluation criteria are based on both the 12 principles of GAC (SIGNIFICANCE) and the 10 factors of sample preparation, and the results are presented on a 0-10 scale. The GEMAM calculation process is easy to perform, and its results are easy to interpret. The output of GEMAM is a pictogram that can provide both qualitative and quantitative information based on color and number.

The patient was a boy aged 1 year and 9 months who presented with 46,XY disorder of sex development (DSD), with severe undermasculinization of the external genitalia. Laboratory tests and ultrasound examinations showed normal functions of Leydig cells and Sertoli cells in the testes. Genetic testing revealed a novel pathogenic heterozygous variant, c.1186dupA (p.T396Nfs*17), in the PPP1R12A gene. Thirteen cases of PPP1R12A gene variants have been reported previously. These variants may cause isolated involvement of the genitourinary or neurological systems, or affect other systems/organs including the digestive tract, eyes, heart, etc. Patients with DSD typically present with a 46,XY karyotype and variable degrees of undermasculinization involving the external genitalia, gonads, and reproductive tract. This article reports a child with 46,XY DSD accompanied by growth retardation caused by a heterozygous variant in the PPP1R12A gene, which expands the clinical disease spectrum associated with PPP1R12A gene variants.
Humans ; Male ; Infant ; Disorder of Sex Development, 46,XY/etiology* ; Protein Phosphatase 1/genetics*

OBJECTIVE: To explore the clinical characteristics, diagnosis, and treatment methods of one patient with idiopathic multicentric Castleman disease (iMCD), in order to strengthen the understanding of this rare disease. METHODS: The clinical manifestations, diagnosis and treatment process, and prognosis of one patient with iMCD admitted to our hospital were retrospectively analyzed. RESULTS: The patient was a 45-year-old female with swollen bilateral orbit, edema of lower limbs, multiple serosal cavity effusion, thrombocytopenia, renal insufficiency, and multiple lymph node enlargement. Lymph node biopsy suggested mixed type of Castleman disease. Combined with pathology, imaging and laboratory examination, the patient was finally diagnosed with mixed type of iMCD. After six cycles of R-COP regimen chemotherapy, the patient achieved complete remission. CONCLUSIONS Castleman disease with renal and orbit involvement is rare in clinic and easy to be misdiagnosed. It should be distinguished from lymphoma. The patient has been treated with R-COP regimen, and obtained good short-term efficacy.
Humans ; Castleman Disease/diagnosis* ; Middle Aged ; Female ; Retrospective Studies ; Orbit/pathology* ; Kidney/pathology*

BACKGROUND: Non-invasive computed tomography angiography (CTA)-based fractional flow reserve (CT-FFR) could become a gatekeeper to invasive coronary angiography. Deep learning (DL)-based CT-FFR has shown promise when compared to invasive FFR. To evaluate the performance of a DL-based CT-FFR technique, DeepVessel FFR (DVFFR). METHODS: This retrospective study was designed for iScheMia Assessment based on a Retrospective, single-center Trial of CT-FFR (SMART). Patients suspected of stable coronary artery disease (CAD) and undergoing both CTA and invasive FFR examinations were consecutively selected from the Beijing Anzhen Hospital between January 1, 2016 to December 30, 2018. FFR obtained during invasive coronary angiography was used as the reference standard. DVFFR was calculated blindly using a DL-based CT-FFR approach that utilized the complete tree structure of the coronary arteries. RESULTS: Three hundred and thirty nine patients (60.5 ±10.0 years and 209 men) and 414 vessels with direct invasive FFR were included in the analysis. At per-vessel level, sensitivity, specificity, accuracy, positive predictive value (PPV) and negative predictive value (NPV) of DVFFR were 94.7%, 88.6%, 90.8%, 82.7%, and 96.7%, respectively. The area under the receiver operating characteristics curve (AUC) was 0.95 for DVFFR and 0.56 for CTA-based assessment with a significant difference (P < 0.0001). At patient level, sensitivity, specificity, accuracy, PPV and NPV of DVFFR were 93.8%, 88.0%, 90.3%, 83.0%, and 95.8%, respectively. The computation for DVFFR was fast with the average time of 22.5 ± 1.9 s. CONCLUSIONS The results demonstrate that DVFFR was able to evaluate lesion hemodynamic significance accurately and effectively with improved diagnostic performance over CTA alone. Coronary artery disease (CAD) is a critical disease in which coronary artery luminal narrowing may result in myocardial ischemia. Early and effective assessment of myocardial ischemia is essential for optimal treatment planning so as to improve the quality of life and reduce medical costs.

Objective This study investigated feasible cases and their significance in promoting the"generalized"development of inspection through digital-intelligent equipment.Methods A qualitative research approach was used,involving interviews conducted between February 2025 and March 2025 with experts in traditional Chinese medicine diagnostics,clinical research methodology,medical engineering integration,and related disciplines,using both online and offline methods.In accordance with the Consolidated Criteria for Reporting Qualitative Research,feasible cases involving the specific application of digital equipment in various parts of observation were collected through item enrichment.The significance of extending observation capabilities via these cases was analyzed,along with the overall implications of integrating digital technologies with traditional inspection method.Results Interviews were completed with 11 experts from domestic universities and research institutes in the fields of traditional Chinese medicine diagnosis,medical engineering integration,and related disciplines.A total of 78 feasible cases of digital-intelligent inspection were identified,along with 69 insights regarding the significance of enhancing the inspection capabilities.These insights were synthesized into two dimensions and 23 holistic meanings.The first dimension is to expand the scope of inspection,including obtaining internal environmental characteristics,observing external environmental characteristics,expanding thermodynamic characteristic data,and crossing time and space.The second dimension is to improve the quality of observation and diagnosis information collection and analysis,including 19 specific meanings,such as standardized collection environment,objective quantification,and refined observation.Conclusion Digital-intelligent equipment plays a significant role in expanding the scope of inspection content and achieving high-quality acquisition and analysis of extensive inspection information.These advancements extend and enrich the capabilities of traditional inspection method in traditional Chinese medicine.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Aim To investigate the effect of Huangqi injection(HI)and Huangqi oral solution(HO)on cisplatin-induced nephrotoxicity(CIN)based on un-targeted metabolomics technology and the underlying mechanisms.Methods Sprague Dawley(SD)rats were randomly divided into the blank group,cisplatin(CDDP)model group,HI treatment group,and HO treatment group,then the CIN model was built with low dose multiple intraperitoneal injections of CDDP.Pre-liminary evaluation of the renal protective efficacy of HI and HO was performed by measuring serum creatinine(Scr),blood urea nitrogen(BUN),and organ indi-ces.Further screening and identification of potential biomarkers(PBs)related to CIN and HI/HO pharma-cological effects were attained through metabolomics studies of renal tissues,and pathway enrichment analy-sis was conducted.Results HI and HO significantly restored the abnormal increase in renal function indica-tors and abnormal decrease in organ indices caused by CDDP,as well as significantly improved the abnormal renal metabolic profile induced by CDDP,indicating that both HI and HO had good alleviating effects on CIN.HI significantly reversed 47 out of 54 CIN related PBs,mainly involving metabolic pathways such as glycerophospholipid metabolism,tryptophan metabo-lism,pantothenate and CoA biosynthesis;HO signifi-cantly reversed 18 out of 54 CIN related PBs,mainly involving metabolic pathways such as taurine and hypo-taurine metabolism,ascorbate and aldarate metabo-lism,pentose and glucuronate interconversions.Con-clusions Both HI and HO have significant alleviating effects on CIN.In the short term,HI salleviating effect is superior to that of HO.Overall,the mechanisms by which both alleviate CIN are mainly related to regula-ting lipid metabolism,amino acid metabolism.

AIM To study the chemical constituents from Stelmatocrypton khasianum.(Benth.)Baill.and their in vitro anti-inflammatory activity and cytotoxic activity.METHODS Separation and purification were performed using thin layer chromatography,silica gel,semi-preparative HPLC and Sephadex LH-20,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The in vitro anti-inflammatory activity was evaluated by RAW264.7 model,and the cytotoxic activity was determined by CCK-8 method.RESULTS Fifteen compounds were isolated and identified as 2α,3β,19α,23-tetrahydroxy-urs-12-en-28-oic acid-3-O-β-D-glucopyranosyl-28-O-β-D-glucopyranosyl ester(1),dalzienoside(2),benzyl-(6-O-α-L-rhanmopyranosyl)O-β-D-glucopyranoside(3),corchorusoside C(4),cyclo(Ala-Tyr)(5),thymidine(6),(4S,5S)-5-hydroxy-4-hexanolide(7),2-methylpyridin-3-ol(8),butyl isobutyl phthalate(9),bis-(2-ethylhexyl)terephthalate(10),p-hydroxybenzaldehyde(11),vanilic acid(12),salicylic acid(13),isovanilic acid(14),3-hydroxy-p-anisaldehyde(15).The IC50 values of compounds 1,2 and 4 for NO were(27.69±5.51),(25.82±3.58)and(23.35±7.09)μmol/L,respectively.The IC50 value of compound 1 on MCF-7 cells was(18.15±6.45)μmol/L.The IC50 values of compound 4 on MCF-7 and HCCC-9810 cells were(19.43±2.66)and(21.76±5.81)μmol/L,respectively.CONCLUSION Compounds 2-11 are isolated from S.khasianum for the first time.Compounds 1,2 and 4 exhibit good in vitro anti-inflammatory activity,and 1,4 have cytotoxic activity.

Objective:To understand the relationship between sleep duration and cardiovascular and metabolic comorbidities (CMM) in middle-aged and elderly people in China.Methods:This study was a prospective cohort study, based on the data of China Health and Retirement Tracing Survey (CHARLS) from 2011 to 2015, and included middle-aged and elderly people aged≥45 years in the cohort study. Age, gender, marital status, residence, education, smoking status, alcohol status, body mass index, history of diabetes, history of dyslipidemia, history of hypertension, history of stroke, history of heart disease, history of mental illness, depression scale score were collected. Multivariate logistic regression was used to analyze the association between daily sleep duration and the risk of CMM onset and to construct four models with stepwise adjusted covariates. A stratified analysis was established based on demographic factors, lifestyle factors, metabolic factors, cardiovascular and cerebrovascular factors, and psychological factors. Meanwhile, a subgroup analysis was established according to different combinations of cardiovascular and metabolic diseases to explore the association between sleep length and the risk of CMM in different populations.Results:A total of 297 (4.4%) of the 6 788 included participants experienced CMM. In the multivariate logistic regression, the RR value (95% CI) for the risk of CMM for>9 h was 1.99 (1.86-2.08) and 1.78 (1.64-1.92), respectively (all P<0.001). The stratified analysis showed that the risk of CMM incidence between sleep duration<7 h and>9 h was associated in people with different age, sex, residence, smoking status, drinking status, body mass index, hypertension, hypertension, diabetes, heart disease, stroke, dyslipidemia, and depression (all P<0.05). Subgroup analysis showed that sleep duration<7 h with both diabetes, heart disease and stroke had the highest risk of CMM ( RR=1.95, 95% CI: 1.65-2.14). Conclusion:In the middle-aged and elderly group in China, there is a U-shaped association between sleep duration and CMM, that is, insufficient or too long sleep duration throughout the day is related to the increased risk of CMM.