Three typical failures of large-aperture 16-slice spiral Siemens SOMATOM Sensation Open CT were introduced in terms of phenomenon,cause and treatment method.References were provided for medical engineers to treat similar failures.

Objective:To investigate the association between serum IgG concentration and renal prognosis in patients with IgA nephropathy (IgAN).Methods:It was a multi-center retrospective cohort study, patients with biopsy proven primary IgAN who were recorded in the Chinese IgA Nephropathy Information Registration System between April 1996 and September 2018 were included. Exclusion criteria were: (1) age <18 years; (2) <8 glomeruli in biopsy specimens; (3) estimated glomerular filtration rate (eGFR) <15 ml·min -1·(1.73 m 2) -1 at biopsy; (4) missing baseline serum IgG values; (5) incomplete follow-up data; (6) follow-up duration <12 months. Enrolled patients were divided into 3 groups according to the baseline tertiles of serum IgG: ≤9.50 g/L (G1 group), 9.51-11.99 g/L (G2 group), and ≥12.00 g/L (G3 group). Clinical, and pathological parameters were compared across groups. The endpoint events were defined as doubled serum creatinine level from baseline, or end-stage renal disease (ESRD). Results:A total of 1 976 IgAN patients were included in this study, 631 were in G1 group, 664 in G2 group, and 681 in G3 group. The comparison of baseline clinical data showed that there were statistically significant differences among the three groups in terms of gender, age, microscopic hematuria, edema, body mass index, systolic blood pressure, diastolic blood pressure, hemoglobin, serum creatinine, eGFR, 24-hour urine protein quantity, blood uric acid, blood albumin, serum IgA, serum IgM, the proportion of using immunosuppressants, and the proportion of using glucocorticoids (all P<0.05). In terms of pathology, the higher the serum IgG concentration, the relatively less severe the overall renal pathological damage. The results of univariate Cox regression analysis showed that gender, systolic blood pressure, diastolic blood pressure, hemoglobin, serum creatinine, eGFR, 24-hour urine protein quantity, total protein, serum albumin, globulin, serum IgG, Oxford renal pathological classification, glomerular sclerosis ratio, and glomerular IgM deposition were all associated with the occurrence of renal endpoint events (all P<0.05). Based on clinical practice and previous studies, after adjusting for gender, age, systolic blood pressure, diastolic blood pressure, eGFR, 24-hour urine protein quantity, body mass index, Oxford renal pathological classification, glomerular sclerosis ratio, and the use of renin-angiotensin-aldosterone system inhibitors, glucocorticoids, and immunosuppressants, multivariate Cox regression analysis showed that as a continuous variable, the baseline serum IgG level ( HR=0.91, 95% CI 0.87-0.96) was independently associated with the risk of renal endpoint events in IgAN patients; as a categorical variable, with serum IgG ≤ 9.50 g/L as the reference, serum IgG 9.51-11.99 g/L and serum IgG ≥ 12.00 g/L were independent factors for the occurrence of renal endpoint events in IgAN patients ( HR=0.69, 95% CI 0.49-0.96, P=0.027; HR=0.50, 95% CI 0.34-0.74, P<0.001). During a median follow-up of 33(21, 53) months started from the date of renal biopsy and continued until December 31, 2019, the median follow-up duration was 33 (21, 53) months, and a total of 232 patients (11.74%) reached the composite endpoint. Kaplan-Meier survival analysis showed that the higher the serum IgG concentration in patients with IgAN, the higher their cumulative renal survival rate (Log-rank test, χ2=47.176, P<0.001). Conclusion:The higher level of serum IgG at diagnosis is associated with better clinicopathologic features and renal outcomes, and may portend better renal survival in IgAN patients.

The development of artificial intelligence(AI)technology has provided new avenues for the public to access health information.While both domestic and international research and practical applications of health conversational AI have emerged,there remains a lack of consensus on the key issues surrounding their development.Based on a comprehensive review of domestic and international literature and multiple rounds of expert consultations,the study focuses on six issues:the definition,characteristics,application scenarios,evaluation elements,evaluation methods,as well as prospects and challenges of AI-driven health consultation systems,and develops the practice guideline for health conversational artificial intelligence.The findings aim to provide scientific reference for promoting the innovative application of AI technology in the healthcare field.

Objective:To integrate the best available evidence regarding the management of perinatal intraventricular hemorrhage (IVH) in preterm infants.Methods:Using keywords such as "intracranial hemorrhage", "intraventricular hemorrhage", "germinal matrix hemorrhage", and their Chinese equivalents, we systematically searched for clinical decisions, guidelines, expert consensuses, evidence summaries, group standards, systematic reviews, and meta-analyses related to IVH management in preterm infants. Data sources included BMJ Best Practice, UpToDate, World Health Organization website, Guidelines International Network, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Registered Nurses' Association of Ontario, National Guideline Clearinghouse, American Academy of Pediatrics, Canadian Paediatric Society, European Foundation for the Care of Newborn Infants, British Association of Perinatal Medicine, Yiigle, Cochrane Library, Joanna Briggs Institute, PubMed, Web of Science, CINAHL, MEDLINE, Embase, China National Knowledge Infrastructure, Wanfang Data, and SinoMed. The search period spanned from January 2015 to December 2024. Literature screening, quality appraisal, evidence extraction, and synthesis were performed independently according to uniform standards.Results:A total of 12 publications were included, comprising three clinical decisions, three evidence-based guidelines, and six expert consensuses. Thirty-seven best evidence statements were synthesized across four domains: risk factor identification, diagnosis and monitoring, antenatal and delivery room management, and neonatal intensive care unit management. These included 28 strong recommendations (Grade A) and nine weak recommendations (Grade B).Conclusion:The 37 summarized best evidence statements provide an evidence-based foundation for developing clinical management protocols for perinatal IVH in preterm infants.

To investigate the molecular mechanisms underlying the mechanosensitive ion channel PI-EZO2 in osteoarthritis(OA),we developed a lentiviral vector for endogenous PIEZO2 overexpression and established a stable PIEZO2-high-expressing immortalized human primary chondrocyte line.By map-ping the open reading frame of the PIEZO2 locus and designing sequence-specific sgRNA,we employed the CRISPR/Cas9 synergistic activation mediator(SAM)system to precisely integrate transcriptional ac-tivation elements into the PIEZO2 promoter region.Lentiviral-mediated targeted genomic integration en-sured endogenous PIEZO2 overexpression,confirmed by mCherry fluorescence tracing coupled with flow cytometric sorting,which revealed membrane-specific localization of PIEZO2 protein(localization effi-ciency:78.49％).Quantitative PCR demonstrated a 17-fold upregulation of PIEZO2 mRNA,while Western blotting validated enhanced membrane-localized protein expression.Strikingly,PIEZO2-overex-pressing chondrocytes exhibited hallmark OA metabolic phenotypes compared to wild-type controls:typeⅡ collagen mRNA expression decreased to 50％of baseline levels,whereas matrix metalloproteinase 13(MMP13)mRNA surged by 20-fold.These alterations recapitulated the pathological matrix metabolic phenotype observed in biomechanical OA models induced by cyclic mechanical stress(10％strain,0.5 Hz,8 h/day for 2 consecutive days).Collectively,we successfully generated a human chondrocyte model with stable PIEZO2 overexpression,which faithfully mirrors mechanotransduction-driven OA progression.This engineered cellular system provides a robust platform for dissecting PIEZO2-mediated mechanosig-naling networks and advancing targeted therapeutic discovery.

Icaritin(ICT)is an 8-isopentenylflavonoid,which is the main effective component of the tra-ditional Chinese medicine Epimedium.Previously,we found that Icaritin inhibits the growth of glioblasto-ma(GBM)cells.Herein we aim to study the in vivo anti-GBM effectiveness of Icaritin and explore its mechanism.The results of MTT assay,flow cytometry,comet assay and cellular immunofluorescence as-say in vitro showed that ICT inhibited the proliferation of four kinds of GBM cells,U87,U251,U118 and A172,induced early apoptosis(P＜0.001)and late apoptosis(P＜0.05)in U87 cells,induced DNA damage in U87 cells,and blocked the growth of U87 cells at the G0/G1 phase(P＜0.0001)in a concen-tration-time-dependent manner.In vivo subcutaneous tumor transplantation tumor experiments showed that feeding 200 mg/kg(P＜0.01)and 400 mg/kg(P＜0.001)ICT had a significant inhibitory effect on the growth of GBM subcutaneous tumors,and had no significant toxic effects on heart,liver,spleen,lung and kidney tissues.The results of network pharmacological analysis,molecular docking and cellular thermodynamic experiments showed that there were 26 possible target proteins between ICT and GBM,a-mong which the expression of p53 in GBM tissues was significantly(P＜0.001)higher than in normal tis-sues,and the binding energy of ICT and p53 was lower;cellular thermodynamic experiments verified that ICT significantly enriched the level of p53 in the living cells of GBM,which indicated that ICT could tar-get p53.The expression of key proteins in the DNA damage repair and apoptosis-associated FOXO signa-ling pathway was detected by ICT.The results showed that the expression of ATR(P＜0.01),P53(P＜0.001),P21(P＜0.05)and γ-H2AX(P＜0.05)was up-regulated,whereas the expression of Cyc-lin E1(P＜0.01),E2F1(P＜0.05),CDK2(P＜0.01),Rb(P＜0.001),p-Rb(P＜0.0001)and WRN(P＜0.0001)expression were down-regulated.There was no significant change in the expres-sion of FOXO 1 in the FOXO pathway or a significant down-regulation of its phosphorylation level.This study demonstrated that ICT could effectively inhibit the growth of GBM cells in vivo.It targets p53 to regulate the DNA damage repair pathway and FOXO signaling pathway to induce GBM cell cycle arrest and apoptosis.

Prostate cancer (PCa) ranks as the second most prevalent malignancy among men worldwide. Early diagnosis, personalized treatment, and prognosis prediction of PCa play a crucial role in improving patients' survival rates. The advancement of artificial intelligence (AI), particularly the utilization of deep learning (DL) algorithms, has brought about substantial progress in assisting the diagnosis, treatment, and prognosis prediction of PCa. The introduction of the foundation model has revolutionized the application of AI in medical treatment and facilitated its integration into clinical practice. This review emphasizes the clinical application of AI in PCa by discussing recent advancements from both pathological and imaging perspectives. Furthermore, it explores the current challenges faced by AI in clinical applications while also considering future developments, aiming to provide a valuable point of reference for the integration of AI and clinical applications.
Humans ; Prostatic Neoplasms/diagnosis* ; Male ; Artificial Intelligence ; Deep Learning ; Prognosis

The circadian clock plays a critical role in regulating various physiological processes, including gene expression, metabolic regulation, immune response, and the sleep-wake cycle in living organisms. Post-translational modifications (PTMs) are crucial regulatory mechanisms to maintain the precise oscillation of the circadian clock. By modulating the stability, activity, cell localization and protein-protein interactions of core clock proteins, PTMs enable these proteins to respond dynamically to environmental and intracellular changes, thereby sustaining the periodic oscillations of the circadian clock. Different types of PTMs exert their effects through distincting molecular mechanisms, collectively ensuring the proper function of the circadian system. This review systematically summarized several major types of PTMs, including phosphorylation, acetylation, ubiquitination, SUMOylation and oxidative modification, and overviewed their roles in regulating the core clock proteins and the associated pathways, with the goals of providing a theoretical foundation for the deeper understanding of clock mechanisms and the treatment of diseases associated with circadian disruption.
Protein Processing, Post-Translational/physiology* ; Circadian Rhythm/physiology* ; Humans ; Animals ; CLOCK Proteins/physiology* ; Circadian Clocks/physiology* ; Phosphorylation ; Acetylation ; Ubiquitination ; Sumoylation

Lung cancer is one of the most common and deadliest cancers globally, with its incidence and mortality rates rising each year. Therefore, finding new, safe, and effective alternative therapies poses a significant research challenge in this field. Programmed cell death refers to the process by which cells actively self-destruct in response to specific stimuli, regulated by genetic mechanisms. Modern research indicates that dysregulation of programmed cell death is widespread in the occurrence and progression of lung cancer, allowing cancer cells to evade death while continuing to proliferate and metastasize. Thus, inducing the death of lung cancer cells can be considered a novel therapeutic strategy for treating the disease. In recent years, research on traditional Chinese medicine(TCM) in the field of oncology has gained widespread attention, becoming a focal point. An increasing number of studies have demonstrated that TCM can inhibit the progression of lung cancer and exert anti-cancer effects by inducing apoptosis, necroptosis, pyroptosis, autophagy, and ferroptosis. This paper provided a comprehensive review of the molecular mechanisms of programmed cell death in lung cancer, along with the potential mechanisms and research advancements related to the regulation of these processes by TCM, so as to establish a theoretical foundation and direction for future basic and clinical research on lung cancer.
Humans ; Lung Neoplasms/pathology* ; Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Apoptosis/drug effects* ; Animals ; Autophagy/drug effects*

This study investigates the mechanism by which Xintong Granules improve myocardial ischemia-reperfusion injury(MIRI) through the regulation of gut microbiota and their metabolites, specifically short-chain fatty acids(SCFAs). Rats were randomly divided based on body weight into the sham operation group, model group, low-dose Xintong Granules group(1.43 g·kg~(-1)·d~(-1)), medium-dose Xintong Granules group(2.86 g·kg~(-1)·d~(-1)), high-dose Xintong Granules group(5.72 g·kg~(-1)·d~(-1)), and metoprolol group(10 mg·kg~(-1)·d~(-1)). After 14 days of pre-administration, the MIRI rat model was established by ligating the left anterior descending coronary artery. The myocardial infarction area was assessed using the 2,3,5-triphenyltetrazolium chloride(TTC) staining method. Apoptosis in tissue cells was detected by the terminal deoxynucleotidyl transferase-mediated dUTP nick-end labeling(TUNEL) assay. Pathological changes in myocardial cells and colonic tissue were observed using hematoxylin-eosin(HE) staining. The levels of tumor necrosis factor-α(TNF-α), interleukin-1β(IL-1β), interleukin-6(IL-6), creatine kinase MB isoenzyme(CK-MB), and cardiac troponin T(cTnT) in rat serum were quantitatively measured using enzyme-linked immunosorbent assay(ELISA) kits. The activities of lactate dehydrogenase(LDH), creatine kinase(CK), and superoxide dismutase(SOD) in myocardial tissue, as well as the level of malondialdehyde(MDA), were determined using colorimetric assays. Gut microbiota composition was analyzed by 16S rDNA sequencing, and fecal SCFAs were quantified using gas chromatography-mass spectrometry(GC-MS). The results show that Xintong Granules significantly reduced the myocardial infarction area, suppressed cardiomyocyte apoptosis, and decreased serum levels of pro-inflammatory cytokines(TNF-α, IL-1β, and IL-6), myocardial injury markers(CK-MB, cTnT, LDH, and CK), and oxidative stress marker MDA. Additionally, Xintong Granules significantly improved intestinal inflammation in MIRI rats, regulated gut microbiota composition and diversity, and increased the levels of SCFAs(acetate, propionate, isobutyrate, etc.). In summary, Xintong Granules effectively alleviate MIRI symptoms. This study preliminarily confirms that Xintong Granules exert their inhibitory effects on MIRI by regulating gut microbiota imbalance and increasing SCFA levels.
Animals ; Gastrointestinal Microbiome/drug effects* ; Rats ; Male ; Myocardial Reperfusion Injury/genetics* ; Drugs, Chinese Herbal/administration & dosage* ; Rats, Sprague-Dawley ; Apoptosis/drug effects* ; Humans ; Tumor Necrosis Factor-alpha/metabolism* ; Interleukin-6/genetics* ; Malondialdehyde/metabolism*