Objective To explore the relationship between nutritional status and sarcopenia in patients with chronic kidney disease. Methods This study included 310 patients with chronic kidney disease (assigned to the kidney disease group) and 150 healthy volunteers who underwent physical examinations during the same period (assigned to the healthy group) between May 2022 and October 2024.The clinical data and related nutritional indicators were compared between the two groups, and the correlation between nutritional status indicators and clinical parameters was analyzed. According to the presence or absence of sarcopenia in the kidney disease group, the patients were divided into a sarcopenia group (n=107) and a non-sarcopenia group (n=203). The nutritional indicators were compared between the two subgroups, the correlation between patients' nutritional status and sarcopenia was analyzed, and the value of nutritional status indicators in diagnosing sarcopenia was evaluated. Results BMI, 25(OH)D3, total body water, muscle mass, and adipose mass in the kidney disease group were significantly lower than those in the healthy group (P<0.05), while the UA, SCr, TC, TG, LDL-C, BUN, CRP, and UACR were significantly higher than those in the healthy group (P<0.05). BMI, 25(OH)D3, total body water, and muscle mass in the kidney disease group were significantly negatively correlated with UA, SCr, CRP, TC, TG, and LDL-C (P<0.05), while UACR was significantly positively correlated with UA, SCr, CRP, TC, TG, and LDL-C (P<0.05). BMI, 25(OH)D3, total body water, and total muscle volume in the sarcopenia group were significantly lower than in the non-sarcopenia group (P<0.05), whereas UACR was significantly higher (P<0.05). BMI, 25(OH)D3, total body water, and muscle mass were protective factors against sarcopenia (OR < 1, P < 0.05), whereas UACR was a risk factor associated with sarcopenia (OR > 1, P < 0.05). The AUCs of BMI, 25 (OH) D3, UACR, total body water, and muscle mass for predicting sarcopenia were 0.614, 0.786, 0.881, 0.675, and 0.734, respectively. The combined diagnostic AUC was 0.951, indicating higher diagnostic value. Conclusion In patients with chronic kidney disease, decreases in BMI, 25(OH)D3, total body water, and muscle mass, and an increase in UACR, can all indicate the occurrence of sarcopenia. Among these, BMI, 25(OH)D3, total body water, and muscle mass serve as nutritional status indicators, and their combination with UACR has auxiliary diagnostic value for sarcopenia.

ObjectiveTo explore the association between metabolic score for visceral fat（METS-VF） and cardiometabolic multimorbidity（CMM） as well as cognitive function in the elderly population， revealing the role of METS-VF as an assessment tool in this population， and providing evidence and new perspectives for the early screening and intervention strategies of CMM and cognitive function. MethodsThis study is based on cross-sectional data from the Hubei memory and aging cohort study（HMACS）， which includes elderly individuals aged 60 and above. The METS-VF index was calculated and divided into quartiles（Q1-Q4）. CMM was assessed through a questionnaire， defining CMM as the coexistence of at least two of the following conditions： diabetes， heart disease， and stroke. Standardized cognitive tests were used to evaluate overall cognition， memory， language， executive function， and attention. Logistic and Linear regression analysis was performed to explore the association between METS-VF and the risk of CMM as well as cognitive function. A restricted cubic spline was used to test the dose-response relationship， and subgroup analysis was conducted to assess the variation of METS-VF in different populations. Additionally， multinomial unordered logistic regression was used to evaluate the performance of METS-VF in predicting CMM morbidity patterns. ResultsA total of 3 790 elderly participants aged 60 and above were included. After adjusting for confounding factors， compared with the lowest quartile（Q1）， the Q4 group of METS-VF was associated with a higher risk of CMM ［OR=3.00，95%CI （2.18， 4.16）］， and with lower scores in overall cognition ［b=-0.12， 95%CI （-0.21，-0.04）］， attention ［b=-0.14， 95%CI （-0.24，-0.05）］， and executive function ［b=-0.10， 95%CI （-0.20，-0.00）］. Dose-response analysis did not show a nonlinear relationship between METS-VF and either CMM or cognitive function （P for nonlinear > 0.05）. Subgroup analysis revealed that the male group with higher METS-VF had lower overall cognitive scores， while the female group showed lower executive function scores （P for interaction ＜ 0.05 for both）. Multinomial unordered logistic regression analysis indicated that the METS-VF index was associated with an increased risk of diabetes with coronary heart disease ［OR=2.62，95%CI （1.66， 4.15）］ or concomitant stroke ［OR=2.66，95%CI （1.73， 4.09）］， especially in the group with both diabetes and stroke and coronary heart disease， where the association between METS-VF and the risk was strongest. ConclusionsAn increased METS-VF is associated with a higher risk of CMM and lower scores in overall cognition， attention， and executive function in the elderly population. Diabetes may be a key driving factor in the multimorbidity model. The METS-VF index can serve as a dual-purpose tool for screening cardiovascular metabolic risks and assessing cognitive function.

A novel analytical method was developed in this study by combining online solid phase extraction with ultra performance liquid chromatography-tandem mass spectrometry(Online SPE-UPLC-MS/MS)for simultaneous determination of 50 kinds of steroid hormones in surface water.Specifically,after high-speed centrifugation of 4 mL water samples,the supernatant was directly injected into an Oasis HLB online SPE column for enrichment and purification.Subsequently,the target compounds were transferred to the analytical column via valve switching for separation and analysis.The chromatographic separation was performed on a Thermo Acclaim RSLC C18 column(100 mm×2.1 mm,2.2 μm),using a mobile phase composed of 5 mmol/L ammonium fluoride aqueous solution and acetonitrile.Mass spectrometric detection was conducted in positive ion mode,utilizing multiple reaction monitoring(MRM)with quantification achieved by the internal standard method.The method validation demonstrated that the limits of detection(LOD)for the 50 kinds of steroid hormones ranged from 0.02 to 0.50 ng/L,while the limits of quantification(LOQ)were between 0.08 and 1.67 ng/L.The average recoveries in surface water samples at spiked concentrations of 5,20 and 200 ng/L were between 74.1％and 119％,with relative standard deviations(RSDs)of 0.2％to 9.9％.This method was applied to analyze 11 surface water samples collected from sites surrounding a pharmaceutical and chemical industrial park.A total of 44 kinds of steroid hormones were detected,with concentrations ranging from 0.11 to 88.6 ng/L,revealing the presence of hormone contamination in the environmental waters surrounding industrial areas.Compared with the traditional offline SPE methods,the proposed online SPE technique significantly reduced sample volume requirements and pretreatment time,while minimizing the loss of target compounds during the pretreatment process.Moreover,compared to reported online SPE techniques,this method achieved high-throughput analysis of multiple classes of steroid hormones,with lower detection limits and higher recoveries.Overall,this method provided rapid sample preparation,high sensitivity,and excellent stability,making it suitable for the direct analysis of trace steroid hormones in surface water.

Objective To determine the pathogenicity of a novel mutation(c.109_111del)in DKC1 gene of an adult patient,and to analyze the clinical phenotype,immunophenotype and telomere length,so as to provide clues for early clinical identification and diagnosis.Methods The clinical data and peripheral blood samples of the patient were collected for genetic testing and family analysis.The lymphocyte subsets of the patient were detected by Flow cytometry,and the telomere length of the patient and healthy controls were detected by Flow-FISH.Results The main clinical manifestations of the patient were mucocutaneous triad,bone marrow failure and infection.The telomere length of lymphocytes in the patient was significantly shorter than that of healthy controls of the same age,and the absolute value and percentage of lymphocyte subsets were abnormal.Conclusion The clinical manifestations of DC patients are diverse.Flow-FISH detection of telomere length is helpful for early diagnosis of DC patients.

Objective:To present a set of clinically representative quality assurance (QA) test cases for stereotactic radiosurgery (SRT) plans of multiple intracranial metastases, in order to assess the plan quality and machine execution capabilities.Methods:Based on the clinical characteristics of multiple brain metastases, four groups of test cases with three target volumes (TVs), six TVs, nine TVs, and TVs near organs at risk (OARs) were designed. For these cases, SRT plans were developed, and plan quality was assessed using metrics including the Radiation Therapy Oncology Group conformality index (RTOG CI), gradient index (GI), homogeneity index (HI), and the volume of normal brain tissue receiving a dose of 24 Gy ( V24 Gy), which was defined as the volume enclosed by the 24 Gy isodose line around the Brain-PTV ( V24 Gy of Brain-PTV). Verification plans were generated for each test case, including the verification of point doses, planar doses (PD), and SRS MapCHECK (SMC) semiconductor matrix planar doses. Compared with the calculated result of the treatment planning system (TPS), the criteria for the γ analysis of planar doses were set at 1 mm/2% and 2 mm/2%. Results:For the four groups of test cases, the mean CI, GI, HI, and V24 Gy of Brain-PTV were 1.04±0.03, 3.79±0.40, 0.73±0.01 and (7.46±3.80) cm 3, respectively. The mean deviations of the point doses were 0.88%±0.98%, 1.47%±0.79%, 1.52%± 0.76%, and 1.17% ± 0.38%, respectively. The mean γ passing rates of the single fields for PDs were greater than 98% at 2 mm/2% and exceeding 96% at 1 mm/2%, and the mean γ pass rates of the SMC semiconductor matrix for PDs were 97.75% ± 2.31% and 99.33% ± 0.62%, at 1 mm/2% and 2 mm/2% respectively. Conclusions:The proposed QA test cases for SRT of multiple intracranial metastases allow for the effective assessments of the plan quality and machine execution capabilities and, thus, can assist various centers in clinical applications.

Spectral computed tomography (CT) has triggered a technological revolution in radiodiagnosis while demonstrating its increasing application value in radiotherapy. Employing dual-energy techniques for material decomposition, spectral CT provides optimized solutions for several critical aspects of radiotherapy. Based on a review of the application situation of spectral CT in radiotherapy, this study delved into spectral CT′s significant advantages in image quality improvement, precise dose calculation, and comprehensive quantitative assessment. Furthermore, this study envisioned the development orientations and application prospects of spectral CT.

Pancreatic cancer is highly aggressive and often diagnosed at an advanced stage,leaving most patients ineligible for radical resection.This study retrospectively analyzed four patients with locally advanced or advanced pancreatic cancer to evaluate the clinical efficacy and safety of high-intensity focused ultrasound(HIFU)ablation combined with chemotherapy as a neoadjuvant and conversion therapy.All cases were reviewed and individualized treatment plans were formulated through a multidisciplinary team evaluation.All patients received HIFU plus gemcitabine and nab-paclitaxel chemotherapy,with assessments of tumor volume,vascular involvement,surgical conversion,symptom relief,and adverse events.Three patients achieved marked tumor shrinkage and reduction of vascular invasion,enabling successful R0 resection without recurrence during follow-up.The remaining patient achieved disease stability,significant pain relief,and maintained good quality of life under repeated HIFU therapy.All treatments were well tolerated,and no severe adverse reactions occurred.The combination of HIFU and chemotherapy demonstrated synergistic local and systemic effects,effectively achieving tumor downstaging,improving resectability,and alleviating symptoms.As a safe,noninvasive,and repeatable therapeutic approach,this strategy offers a promising option for patients with advanced pancreatic cancer.Further large-scale prospective studies are warranted to validate its long-term efficacy and elucidate underlying mechanisms.

Background and Aims:Infected necrotizing pancreatitis(INP),particularly with diffuse distribution,is a life-threatening condition.The optimal initial intervention-minimally invasive step-up therapy vs.direct open necrosectomy-remains controversial.Moreover,the impact of necrosis morphology("wet"or"dry")and the presence of severe acute pancreatitis(SAP)on treatment selection has not been fully clarified.This study aimed to compare the efficacy and safety of these two approaches in diffuse INP and to evaluate the guiding value of CT-based necrosis type and SAP status in clinical decision-making.Methods:A retrospective analysis was conducted on 458 patients with diffuse INP admitted to the Third Xiangya Hospital of Central South University from January 2012 to March 2023.Patients were divided into a minimally invasive step-up group(n=256)and a direct open surgery group(n=202).SAP was defined according to the determinant-based classification,and necrosis was categorized as"wet"or"dry"based on CT features.The primary endpoint was a composite of death or major complications,while secondary endpoints included mortality,length of hospital stay,and incision-related complications,were compared between the two groups,with subgroup analyses performed accordingly.Results:Overall,the open surgery group had higher rates of the primary endpoint(62.4%vs.48.1%,P=0.003)and mortality(27.2%vs.16.8%,P=0.008)compared with the step-up group.Among SAP patients,the step-up approach resulted in a significantly lower primary endpoint rate(66.7%vs.97.7%,P=0.003).In non-SAP patients,the primary endpoint rates were similar,but open surgery was associated with a shorter hospital stay[(36.5±10.4)d vs.(45.6±18.6)d,P<0.001]and higher incidences of wound infection and incisional hernia(both P<0.001).Multivariate analysis identified infection onset time,effusion characteristics,gas bubbles,and necrosis location as independent predictors of prolonged hospitalization in the step-up group(all P<0.05).Patients with"wet"necrosis benefited more from the step-up approach,whereas those with"dry"necrosis experienced shorter hospitalization following open surgery.Conclusion:For diffusely distributed INP,treatment strategies should be individualized based on SAP status and necrosis liquefaction/imaging characteristics.The step-up minimally invasive approach is preferred for SAP patients and those with"wet"necrosis on CT,while direct open necrosectomy may be advantageous for"dry"necrosis(particularly with limited liquefaction)by shortening hospital stay and reducing certain major outcomes,though at the cost of increased incision infection and incision herina.CT imaging features and SAP classification can serve as valuable tools for risk stratification and guiding individualized timing and modality of intervention.

Objective:To compare the immobilization effect of two different immobilization methods in treatment with CyberKnife for intracranial tumors.Methods:A retrospective analysis was conducted on 48 patients with intracranial tumors who received treatment with CyberKnife in the Department of Radiotherapy at Peking Union Medical College Hospital from June 2023 to July 2024.Based on the different immobilization method,patients were divided into two groups:the Double Shell Positioning System(DSPS)group(n=22)and the Qfix group(n=26).The DSPS group was immobilized using an American full-body integrated positioning frame combined with a carbon fiber bracket and DSPS film,while the Qfix group was immobilized using an Encompass board and Qfix film.All patients were treated with 6 dimensions(6D)-skull tracking technique.During treatment,images were acquired as one times per 60 seconds,which were registered with digitally reconstructed radiograph(DRR)to record and compare the overall relative errors.The data of relative displacement error during treatment was calculated as|dx|=d1-d0,and differences between the two groups were compared.The maximum displacement(|d|=dmax-dmin)was also calculated,and difference in maximum displacement between the two kinds of immobilization methods was analyzed.Results:In the comparison of the overall relative errors between the two kinds of immobilization methods,the median values in the errors of superior-inferior(SI),anterior-posterior(AP),Roll,Pitch,and Yaw directions in the Qfix group were respectively 0.174,0.309,0.150,0.147,and 0.477,which were significantly less than those(0.224,0.316,0.175,0.221,and 0.584)of DSPS group,and the differences were statistically significant(Z=-4.358,-1.698,-2.595,-6.833,-5.371,P<0.05).The difference of the relative displacement errors between two kinds of immobilization methods was not significant(P>0.05),while the median values in all directions were not zero.The comparison of the maximum displacement value between the two kinds of immobilization methods indicated the displacement amounts of Qfix group was less than those of DSPS group on SI,left-right(LR),AP,roll,pitch,and yaw directions,and the differences of them were significant(Z=-3.373,-2.525,-2.488,-3.169,-5.130,-5.166,P<0.05).Conclusion:Both immobilization methods can meet the requirements of clinical treatment.The results of comparison indicate the immobilization effect of Qfix group is best,and the combination of Encompass board and Qfix film is recommended as the immobilization method of CyberKnife-based radiotherapy for intracranial tumors.

Adipose tissue is a critical energy reservoir in animals and humans, with multifaceted roles in endocrine regulation, immune response, and providing mechanical protection. Based on anatomical location and functional characteristics, adipose tissue can be categorized into distinct types, including white adipose tissue (WAT), brown adipose tissue (BAT), beige adipose tissue, and pink adipose tissue. Traditionally, adipose tissue research has centered on its morphological and functional properties as a whole. However, with the advent of single-cell transcriptomics, a new level of complexity in adipose tissue has been unveiled, showing that even under identical conditions, cells of the same type may exhibit significant variation in morphology, structure, function, and gene expression——phenomena collectively referred to as cellular heterogeneity. Single-cell transcriptomics, including techniques like single-cell RNA sequencing (scRNA-seq) and single-nucleus RNA sequencing (snRNA-seq), enables in-depth analysis of the diversity and heterogeneity of adipocytes at the single-cell level. This high-resolution approach has not only deepened our understanding of adipocyte functionality but also facilitated the discovery of previously unidentified cell types and gene expression patterns that may play key roles in adipose tissue function. This review delves into the latest advances in the application of single-cell transcriptomics in elucidating the heterogeneity and diversity within adipose tissue, highlighting how these findings have redefined the understanding of cell subpopulations within different adipose depots. Moreover, the review explores how single-cell transcriptomic technologies have enabled the study of cellular communication pathways and differentiation trajectories among adipose cell subgroups. By mapping these interactions and differentiation processes, researchers gain insights into how distinct cellular subpopulations coordinate within adipose tissues, which is crucial for maintaining tissue homeostasis and function. Understanding these mechanisms is essential, as dysregulation in adipose cell interactions and differentiation underlies a range of metabolic disorders, including obesity and diabetes mellitus type 2. Furthermore, single-cell transcriptomics holds promising implications for identifying therapeutic targets; by pinpointing specific cell types and gene pathways involved in adipose tissue dysfunction, these technologies pave the way for developing targeted interventions aimed at modulating specific adipose subpopulations. In summary, this review provides a comprehensive analysis of the role of single-cell transcriptomic technologies in uncovering the heterogeneity and functional diversity of adipose tissues.