This article presents a case study of a patient who visited the Geriatric Department of Peking Union Medical College Hospital due to "palpitations, shortness of breath for more than 2 years, limb weakness for 6 months, edema, and nocturnal dyspnea for 2 months". The patient exhibited decreased muscle strength in the limbs and involvement of swallowing and respiratory muscles, alongside complications of heart failure and various arrhythmias which were predominantly atrial. Laboratory tests revealed the presence of multiple autoantibodies and notably anti-mitochondrial antibodies. Following a comprehensive multidisciplinary evaluation, the patient was diagnosed with anti-mitochondrial antibody-associated inflammatory myopathy. Treatment involved a combination of glucocorticoids and immunosuppressants, along with resistance exercises for muscle strength and rehabilitation training for lung function, resulting in significant improvement of clinical symptoms. The case underscores the importance of collaborative multidisciplinary approaches in diagnosing and treating rare diseases in elderly patients, where careful consideration of clinical manifestations and subtle abnormal clinical data can lead to effective interventions.

ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma （HMG） on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses （1.56， 3.12 g∙kg^-1， respectively） or metformin （0.26 g∙kg^-1） by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test （OGTT） was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids ［total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL）］， liver function indicators ［aspartate aminotransferase （AST） and alanine aminotransferase （ALT）］， non-esterified fatty acids （NEFA）， glycosylated serum protein （GSP）， serum glucose （GLU）， fasting insulin （FINS）， and renal function indicators ［creatinine （Crea） and blood urea nitrogen （BUN）］ were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma （PPARγ）， acetyl coenzyme A carboxylase （ACC）， and sterol regulatory element-binding protein-1 （SREBP-1） were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group， the model group presented increased body weight， elevated levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， GSP， and HDL-C， up-regulated protein levels of ACC and SREBP-1， and down-regulated protein level of PPARγ （P<0.01）. Meanwhile， the model group presented a large amount of lipid droplets and steatosis in the liver， as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group， the high- and low-dose HMG groups showed decreased body weight， declined levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， and GSP， and elevate level of HDL-C （P<0.05， P<0.01）. Moreover， the two groups showcased reduced lipid droplets and steatosis in the liver， as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ （P<0.01）. ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ， SREBP-1， and ACC.

ObjectiveTo study the effect of the herb pair Mori Folium-Ginseng Radix et Rhizoma （HMG） on glucose and lipid metabolism in the mouse model of type 2 diabetes mellitus and decipher the possible treatment mechanism. MethodsThe db/db mice were chosen as the mouse model of type 2 diabetes mellitus and then treated with HMG at low and high doses （1.56， 3.12 g∙kg^-1， respectively） or metformin （0.26 g∙kg^-1） by gavage for 6 weeks. The normal group and the model group were treated with double distilled water at the same time according to body weight. The 8-h fasting blood glucose and body weight were measured once a week. The oral glucose tolerance test （OGTT） was conducted at the 6th week of dosing. The mice were sacrificed after the end of dosing. Serum levels of lipids ［total cholesterol （TC）， triglycerides （TG）， high-density lipoprotein cholesterol （HDL）， and low-density lipoprotein cholesterol （LDL）］， liver function indicators ［aspartate aminotransferase （AST） and alanine aminotransferase （ALT）］， non-esterified fatty acids （NEFA）， glycosylated serum protein （GSP）， serum glucose （GLU）， fasting insulin （FINS）， and renal function indicators ［creatinine （Crea） and blood urea nitrogen （BUN）］ were measured by enzyme-linked immunosorbent assay. The protein levels of peroxidase proliferator-activating receptor gamma （PPARγ）， acetyl coenzyme A carboxylase （ACC）， and sterol regulatory element-binding protein-1 （SREBP-1） were determined by Western blot. The pathological changes in the liver and pancreas were examined. ResultsCompared with the normal group， the model group presented increased body weight， elevated levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， GSP， and HDL-C， up-regulated protein levels of ACC and SREBP-1， and down-regulated protein level of PPARγ （P<0.01）. Meanwhile， the model group presented a large amount of lipid droplets and steatosis in the liver， as well as karyopyknosis and lymphocyte infiltration in the pancreas. Compared with the model group， the high- and low-dose HMG groups showed decreased body weight， declined levels of blood glucose， TG， TC， AST， ALT， GLU， NEFA， and GSP， and elevate level of HDL-C （P<0.05， P<0.01）. Moreover， the two groups showcased reduced lipid droplets and steatosis in the liver， as well as enlarged islets with clear boundaries and alleviated lymphocyte infiltration and karyopyknosis. Western blot results showed that the high-dose herb pair group demonstrated down-regulated protein levels of ACC and SREBP-1 and up-regulated protein level of PPARγ （P<0.01）. ConclusionThe HMG can effectively improve the glucose and lipid metabolism in db/db mice by regulating the expression of PPARγ， SREBP-1， and ACC.

Nonobstructive azoospermia (NOA), one of the most severe types of male infertility, etiology often remains unclear in most cases. Therefore, this study aimed to detect four biallelic detrimental variants (0.5%) in the minichromosome maintenance domain containing 2 ( MCMDC2 ) genes in 768 NOA patients by whole-exome sequencing (WES). Hematoxylin and eosin (H&E) demonstrated that MCMDC2 deleterious variants caused meiotic arrest in three patients (c.1360G>T, c.1956G>T, and c.685C>T) and hypospermatogenesis in one patient (c.94G>T), as further confirmed through immunofluorescence (IF) staining. The single-cell RNA sequencing data indicated that MCMDC2 was substantially expressed during spermatogenesis. The variants were confirmed as deleterious and responsible for patient infertility through bioinformatics and in vitro experimental analyses. The results revealed four MCMDC2 variants related to NOA, which contributes to the current perception of the function of MCMDC2 in male fertility and presents new perspectives on the genetic etiology of NOA.
Humans ; Male ; Azoospermia/genetics* ; Meiosis/genetics* ; Spermatogenesis/genetics* ; Adult ; Exome Sequencing ; Microtubule-Associated Proteins/genetics* ; Alleles ; Infertility, Male/genetics*

OBJECTIVE: To explore the safety and efficacy of high-dose etoposide (VP-16) combined with recombinant human granulocyte colony-stimulating factor (rhG-CSF) as salvage mobilization for peripheral blood stem cells (PBSC) in newly diagnosed multiple myeloma (NDMM) patients. METHODS: From April 2021 to May 2023, eight NDMM patients who had failed to yield sufficient PBSC during initial mobilization with high-dose cyclophosphamide (CTX) combined with rhG-CSF underwent salvage mobilization with 1.2 g/m2 etoposide combined with rhG-CSF 10 μg/(kg·d). The effects and adverse reactions of initial mobilization and salvage mobilization were analyzed. RESULTS: For salvage mobilization and initial mobilization, the numbers of PBSC collections were 16 and 18, respectively. The mean value of total collected CD34⁺ cells were (11.90±5.75)×10⁶/kg and (1.67±0.75)×10⁶/kg (P =0.0010) in salvage mobilization group and initial mobilization group, respectively. The proportion of patients with a total collection of CD34⁺ cell count≥2×10⁶/kg were 100% and 37.5% (P =0.0625), and the proportion of patients with a total collection of CD34⁺ cell count≥5×10⁶/kg were 87.5% and 0% (P =0.0156) in salvage mobilization group and initial mobilization group, respectively. For five patients who underwent high-dose CTX initial mobilization but had a total CD34⁺ cell count < 2×10⁶/kg, successful collection was achieved through salvage mobilization with high-dose VP-16. Salvage mobilization with high-dose VP-16 was scheduled 2-3 weeks after failure of CTX mobilization. Adverse reactions of high-dose VP-16 mobilization did not increase compared to the initial mobilization with high-dose CTX. CONCLUSION As a salvage mobilization regimen, VP-16 1.2 g/m² combined with rhG-CSF is safe and highly effective in NDMM patients who failed to initial mobilization with high-dose CTX combined with rhG-CSF.
Humans ; Multiple Myeloma/therapy* ; Etoposide/therapeutic use* ; Hematopoietic Stem Cell Mobilization/methods* ; Cyclophosphamide/therapeutic use* ; Granulocyte Colony-Stimulating Factor ; Salvage Therapy ; Peripheral Blood Stem Cells ; Male ; Middle Aged ; Female ; Peripheral Blood Stem Cell Transplantation

OBJECTIVE: To investigate the genetic causal relationship of leukocyte telomere length (LTL) with prostatitis, orchitis and epididymitis by two-sample Mendelian randomization (MR). METHODS: Using LTL as the exposure factor and prostatitis, orchitis and epididymitis as outcome factors, we mined the Database of Genome-Wide Association Studies (GWAS). Then, we analyzed the causal relationship of LTL with prostatitis, orchitis and epididymitis by Mendelian randomization using inverse variance weighting (IVW) as the main method and weighted median and MR-Egger regression as auxiliary methods, determined the horizontal multiplicity by MR-Egger intercept test, and conducted sensitivity analysis using the leaving-one-out method. RESULTS: A total of 121 related single nucleotide polymorphisms (SNPs) were identified in this study. IVW showed LTL to be a risk factor for prostatitis (OR = 1.383, 95% CI: 1.044－1.832, P = 0.024), and for orchitis and epididymitis as well (OR = 1.770, 95% CI: 1.275－2.456, P = 0.000 6). CONCLUSION Genetic evidence from Mendelian randomized analysis indicates that shortening of LTL reduces the risk of prostatitis, orchitis and epididymitis.
Humans ; Male ; Mendelian Randomization Analysis ; Epididymitis/genetics* ; Prostatitis/genetics* ; Polymorphism, Single Nucleotide ; Leukocytes ; Orchitis/genetics* ; Genome-Wide Association Study ; Telomere ; Risk Factors

Schizophrenia (SZ) stands as a severe psychiatric disorder. This study applied diffusion tensor imaging (DTI) data in conjunction with graph neural networks to distinguish SZ patients from normal controls (NCs) and showcases the superior performance of a graph neural network integrating combined fractional anisotropy and fiber number brain network features, achieving an accuracy of 73.79% in distinguishing SZ patients from NCs. Beyond mere discrimination, our study delved deeper into the advantages of utilizing white matter brain network features for identifying SZ patients through interpretable model analysis and gene expression analysis. These analyses uncovered intricate interrelationships between brain imaging markers and genetic biomarkers, providing novel insights into the neuropathological basis of SZ. In summary, our findings underscore the potential of graph neural networks applied to multimodal DTI data for enhancing SZ detection through an integrated analysis of neuroimaging and genetic features.
Humans ; Schizophrenia/pathology* ; Diffusion Tensor Imaging/methods* ; Male ; Female ; Adult ; Brain/metabolism* ; Young Adult ; Middle Aged ; White Matter/pathology* ; Gene Expression ; Nerve Net/diagnostic imaging* ; Graph Neural Networks

OBJECTIVES: To propose a hypothesis that aloe-emodin may inhibit scar tissue fibrosis through thrombospondin-1(THBS1)-PI3K-Akt pathway. METHODS: By cultivating fibroblasts derived from scar tissue after cleft palate surgery in humans, aloe emodin of different concentrations (10, 20, 30, 40 and 50 μmol/L) was added to the cells which activity was detected. At the same time, transcriptome sequencing was performed on scar tissue and cells, and bioinformatics methods were used to explore potential targets and signaling pathways of scar tissue fibrosis. RESULTS: Aloe-emodin had a concentration dependent inhibitory effect on fibroblast proliferation,with the 40 μmol/L concentration group showing the most significant effect. The results of tissue and cell sequencing indicated that differentially expressed genes were significantly enriched in extracellular matrix-receptor interaction pathway, and shared a common differential gene which was THBS1. The ORA analysis results indicated that differentially expressed genes, including THBS1, were significantly enriched in the PI3K-Akt signaling pathway. CONCLUSIONS Aloe emodin may inhibit the PI3K-Akt pathway by downregulating THBS1, thereby reducing the proliferation activity of fibroblasts derived from postoperative palatal scar tissue.
Thrombospondin 1/genetics* ; Humans ; Signal Transduction/drug effects* ; Fibroblasts/cytology* ; Proto-Oncogene Proteins c-akt/metabolism* ; Fibrosis ; Phosphatidylinositol 3-Kinases/metabolism* ; Cicatrix/metabolism* ; Cell Proliferation/drug effects* ; Anthraquinones/pharmacology* ; Cells, Cultured

Objective:To guide cost control and the development of orthopedic specialty services in actual payment by thoroughly analyzing the functioning of DRG simulation in the pediatric orthopedic department of the Capital Institute of Pediatrics.Methods:A total of 736 patients from the orthopedic ward of the Capital Institute of Pediatrics were included as study subjects.The four-quadrant grouping method was employed to examine the profitability status of each diagnosis group in detail.A logistic regression model explored the key factors influencing profitability.Results:Congenital illnesses and traumas account for most pediatric orthopedic cases.Benefit groups(2 groups,4.8％),disadvantageous groups(15 groups,35.7％),key groups(8 groups,19.0％),and potential groups(17 groups,40.5％)are found using the Boston Matrix analysis.The profit group depends on the benefit groups(IF19,IH15)for 67.7％of its total revenue.No matter how profitable they are,medical consumables comprise a sizable portion(43％-45％).According to regression analysis,hospital profitability is highly impacted by age,consumable ratio,examination cost ratio,surgery cost ratio,and other cost ratios(P＜0.05).The consumable ratio is the most significant negative predictor(β=-2.238).Conclusion:Hospitals need to optimize their cost structure and increase the probability of profitability through refined management of consumables,the four-quadrant analysis method,strengthened cost accounting,and differentiated resource allocation.

Objective To establish an early prediction model for the diagnosis of severe acute pancreatitis based on the improved machine learning models,and to analyze its clinical value.Methods A case-control study was conducted on 352 patients with acute pancreatitis admitted to the Gastroenterology and Hepatobiliary Surgery Departments of the Army Medical Center of PLA and Emergency and Critical Care Medicine Department of No.945 Hospital of Joint Logistics Support Force of PLA from January 2014 to August 2023.According to the severity of the disease,the patients were divided into the severe group(n=88)and the non-severe group(n=264).The RUSBoost model and improved Archimead optimization algorithm was used to analyze 39 routine laboratory biochemical indicators within 48 h after admission to construct an early diagnosis and prediction model for severe acute pancreatitis.The task of feature screening and hyperparameter optimization was completed simultaneously.The ReliefF algorithm feature importance rank and multivariate logistic analysis were used to analyze the value of the selected features.Results In the training set,the area under curve(AUC)of the improved machine learning model was 0.922.In the testing set,the AUC of the improved machine learning model reached 0.888.The 4 key features of predicting severe acute pancreatitis based on the improved Archimedes optimization algorithm were C-reactive protein,blood chlorine,blood magnesium and fibrinogen level,which were consistent with the results of ReliefF algorithm feature importance ranking and multivariate logistic analysis.Conclusion The application of improved machine learning model analyzing the laboratory examination results can help to early predict the occurrence of severe acute pancreatitis.