OBJECTIVE To evaluate the therapeutic effects and safety of everolimus combined with letrozole and conventional chemotherapy for metastatic or recurrent endometrial carcinoma （EC）. METHODS The clinical and follow-up data of 156 patients with metastatic or recurrent EC admitted to Nanyang Central Hospital from January 2020 to January 2024 were analyzed retrospectively. They were divided into a control group （77 cases） and an observation group （79 cases） according to different therapeutic regimens. The control group received paclitaxel+carboplatin/cisplatin regimen， and concurrently took Letrozole tablets at a dose of 2.5 mg orally once daily； the observation group took Everolimus tablets 10 mg orally， once a day， in addition to the treatment regimen given to the control group. Each treatment cycle lasted 21 days， and both groups of patients underwent continuous treatment for 6 to 8 cycles. The short-term efficacy indicators （objective response rate and disease control rate）， the levels of serum tumor markers [carbohydrate antigen 125， human epididymis protein 4， vascular endothelial growth factor and matrix metalloproteinase-9] and medium- to long-term efficacy indicators [progression-free survival （PFS） and overall survival （OS）] were compared between the two groups. Additionally， the occurrence of toxic and side effects in both groups of patients was recorded. RESULTS The objective response rate （53.16%）， disease control rate （89.87%）， median PFS （6.47 months） and median OS （10.79 months） of the observation group were significantly higher or longer than those （22.08%， 68.83%， 4.63 months， 8.84 months） of the control group （P＜0.05）. Compared with before treatment， the levels of serum tumor markers in both groups decreased significantly after 6 cycles of treatment； the above indexes of the observation group were significantly lower than those of the control group （P＜0.05）. The proportion of patients with stomatitis in the observation group was significantly higher than that of the control group （P＜0.05）， and there was no statistically significant difference in the proportions of patients experiencing other toxic and side effects， such as leukopenia， between the two groups （P＞0.05）. CONCLUSIONS The everolimus combined with letrozole and conventional chemotherapy can effectively improve the short-term efficacy and prolong the survival period in patients with metastatic or recurrent EC， but attention should be paid to the occurrence of toxic and side effects， especially stomatitis.

OBJECTIVE: To investigate the short-and med-term clinical efficacy of unicompartmental knee arthroplasty(UKA)for the treatment of medial knee osteoarthritis (OA) in elderly patients with anterior cruciate ligament deficiency(ACLD). METHODS: A retrospective analysis was conducted on 31 patients aged over 75 years old with primary medial knee OA and ACLD who underwent UKA between January 2018 and December 2022. The cohort included 12 males and 19 females, aged from 75 to 91 years with an average age of (79.56±4.54) years, with 13 left knee, 16 right knee, and 2 bilateral knees. Clinical outcomes were assessed preoperatively and at final follow-up using the visual analogue scale (VAS), Hospital for Special Surgery(HSS) score, range of motion (ROM), hip-knee-ankle angle (HKA), and tibial component posterior slope angle (TCPSA). Complications such as infection, prosthesis wear, prosthesis loosening, and dislocation were also recorded. RESULTS: All 31 patients were followed up from 12 to 63 months with an average of (28.34±10.56) months. The average postoperative TCPSA was (4.83±1.31)° ranged from 2.5° to 6.8°. At the final follow-up, there was significant improvement in VAS (3.24±0.53) vs. (6.59±0.69), HSS score (85.19±4.45) vs. (64.38±5.94), ROM (118.83±5.38)° vs. (98.85±4.08)°, and HKA (176.83±5.16)° vs. (169.57±6.28)° compared to preoperative values (P<0.05). No cases of infection, prosthesis loosening, or dislocation were reported. CONCLUSION UKA provides favorable short-and mid-term outcomes for elderly patients with medial knee OA and ACLD . However, long-term clinical efficacy needs further investigation through extended follow-up.
Humans ; Male ; Female ; Arthroplasty, Replacement, Knee/methods* ; Aged ; Osteoarthritis, Knee/physiopathology* ; Retrospective Studies ; Aged, 80 and over ; Range of Motion, Articular ; Anterior Cruciate Ligament Injuries/surgery*

PURPOSE: To investigate the incidence and influencing factors of bone loss in patients with spinal cord injury (SCI). METHODS: A retrospective case-control study was conducted. Patients with SCI in our hospital from January 2019 to March 2023 were collected. According to the correlation between bone mineral density (BMD) at different sites, the patients were divided into the lumbar spine group and the hip joint group. According to the BMD value, the patients were divided into the normal bone mass group (t > -1.0 standard deviation) and the osteopenia group (t ≤ -1.0 standard deviation). The influencing factors accumulated as follows: gender, age, height, weight, cause of injury, injury segment, injury degree, time after injury, start time of rehabilitation, motor score, sensory score, spasticity, serum value of alkaline phosphatase, calcium, and phosphorus. The trend chart was drawn and the influencing factors were analyzed. SPSS 26.0 was used for statistical analysis. Correlation analysis was used to test the correlation between the BMD values of the lumbar spine and bilateral hips. Binary logistic regression analysis was used to explore the influencing factors of osteoporosis after SCI. p < 0.05 was considered statistically significant. RESULTS: The incidence of bone loss in patients with SCI was 66.3%. There was a low concordance between bone loss in the lumbar spine and the hip, and the hip was particularly susceptible to bone loss after SCI, with an upward trend in incidence (36% - 82%). In this study, patients with SCI were divided into the lumbar spine group (n = 100) and the hip group (n = 185) according to the BMD values of different sites. Then, the lumbar spine group was divided into the normal bone mass group (n = 53) and the osteopenia group (n = 47); the hip joint group was divided into the normal bone mass group (n = 83) and the osteopenia group (n = 102). Of these, lumbar bone loss after SCI is correlated with gender and weight (p = 0.032 and < 0.001, respectively), and hip bone loss is correlated with gender, height, weight, and time since injury (p < 0.001, p = 0.015, 0.009, and 0.012, respectively). CONCLUSIONS The incidence of bone loss after SCI was high, especially in the hip. The incidence and influencing factors of bone loss in the lumbar spine and hip were different. Patients with SCI who are male, low height, lightweight, and long time after injury were more likely to have bone loss.
Humans ; Spinal Cord Injuries/complications* ; Male ; Female ; Retrospective Studies ; Incidence ; Adult ; Bone Density ; Middle Aged ; Case-Control Studies ; Osteoporosis/etiology* ; Lumbar Vertebrae ; Bone Diseases, Metabolic/etiology* ; Aged ; Risk Factors

OBJECTIVE: To investigate the clinical characteristics and prognosis of peripheral T-cell lymphoma, not otherwise specified (PTCL-NOS). METHODS: Clinical data of 10 patients with PTCL-NOS in Gansu Provincial Hospital from May 2016 to June 2023 were collected. The treatment outcomes were evaluated, and the factors affecting prognosis were analyzed. RESULTS: The median age of onset for the 10 patients was 60.7 (47-75) years, with 7 males and 3 females. Nine cases received chemotherapy, while one case died suddenly after diagnosis, and the median course of chemotherapy was 6.9 (1-13) courses. Assessing the efficacy, 3 patients achieved complete remission (CR) while 7 patients showed progression. Age, sex, lactate dehydrogenase (LDH) level, Ki-67 and the presence of hemophagocytic lymphohistocytosis (HLH) were not statistically correlated with CR rate ( P >0.05). Patients with IPI score 3-5, and Ann Arbor stage III-IV had statistically lower CR rates (both P <0.05). Age, B symptoms, LDH level ,hemoglobin, Ki-67 index and PLR value were not statistically correlated with overall survival (OS) time ( P >0.05). Male, platelet <150×10⁹/L, IPI score 3-5, Ann Arbor stage III-IV, presence of HLH, NLR≥4.05, and LMR <2.81 were statistically correlated with shorter OS (all P <0.05). Among the 10 patients, 3 cases have survived and are still in CR status, while 7 cases have died, with a median survival time of 7.5 (1-85) months. CONCLUSIONS Patients with IPI score 3-5 and Ann Arbor stage III-IV have low CR rate and poor prognosis. The OS of patients who are male, with platelet <150×10⁹/L, IPI score 3-5, Ann Arbor stage III-IV, complication of HLH, NLR≥4.05, and LMR <2.81 is short, and prognosis is poor.
Humans ; Lymphoma, T-Cell, Peripheral/diagnosis* ; Male ; Prognosis ; Middle Aged ; Female ; Aged

Drug repurposing offers a promising alternative to traditional drug development and significantly reduces costs and timelines by identifying new therapeutic uses for existing drugs. However, the current approaches often rely on limited data sources and simplistic hypotheses, which restrict their ability to capture the multi-faceted nature of biological systems. This study introduces adaptive multi-view learning (AMVL), a novel methodology that integrates chemical-induced transcriptional profiles (CTPs), knowledge graph (KG) embeddings, and large language model (LLM) representations, to enhance drug repurposing predictions. AMVL incorporates an innovative similarity matrix expansion strategy and leverages multi-view learning (MVL), matrix factorization, and ensemble optimization techniques to integrate heterogeneous multi-source data. Comprehensive evaluations on benchmark datasets (Fdataset, Cdataset, and Ydataset) and the large-scale iDrug dataset demonstrate that AMVL outperforms state-of-the-art (SOTA) methods, achieving superior accuracy in predicting drug-disease associations across multiple metrics. Literature-based validation further confirmed the model's predictive capabilities, with seven out of the top ten predictions corroborated by post-2011 evidence. To promote transparency and reproducibility, all data and codes used in this study were open-sourced, providing resources for processing CTPs, KG, and LLM-based similarity calculations, along with the complete AMVL algorithm and benchmarking procedures. By unifying diverse data modalities, AMVL offers a robust and scalable solution for accelerating drug discovery, fostering advancements in translational medicine and integrating multi-omics data. We aim to inspire further innovations in multi-source data integration and support the development of more precise and efficient strategies for advancing drug discovery and translational medicine.

OBJECTIVE: This study aimed to explore the association between body mass index (BMI) and mortality based on the 10-year population-based multicenter prospective study. METHODS: A general population-based multicenter prospective study was conducted at four sites in rural China between 2013 and 2023. Multivariate Cox proportional hazards models and restricted cubic spline analyses were used to assess the association between BMI and mortality. Stratified analyses were performed based on the individual characteristics of the participants. RESULTS: Overall, 19,107 participants with a sum of 163,095 person-years were included and 1,910 participants died. The underweight (< 18.5 kg/m ²) presented an increase in all-cause mortality (adjusted hazards ratio [ aHR] = 2.00, 95% confidence interval [ CI]: 1.66-2.41), while overweight (≥ 24.0 to < 28.0 kg/m ²) and obesity (≥ 28.0 kg/m ²) presented a decrease with an aHR of 0.61 (95% CI: 0.52-0.73) and 0.51 (95% CI: 0.37-0.70), respectively. Overweight ( aHR = 0.76, 95% CI: 0.67-0.86) and mild obesity ( aHR = 0.72, 95% CI: 0.59-0.87) had a positive impact on mortality in people older than 60 years. All-cause mortality decreased rapidly until reaching a BMI of 25.7 kg/m ² ( aHR = 0.95, 95% CI: 0.92-0.98) and increased slightly above that value, indicating a U-shaped association. The beneficial impact of being overweight on mortality was robust in most subgroups and sensitivity analyses. CONCLUSION This study provides additional evidence that overweight and mild obesity may be inversely related to the risk of death in individuals older than 60 years. Therefore, it is essential to consider age differences when formulating health and weight management strategies.
Humans ; Body Mass Index ; China/epidemiology* ; Male ; Female ; Middle Aged ; Prospective Studies ; Rural Population/statistics & numerical data* ; Aged ; Follow-Up Studies ; Adult ; Mortality ; Cause of Death ; Obesity/mortality* ; Overweight/mortality*

Objective Hippocampal atrophy is a clinically important marker for the diagnosis of many psychiatric disorders such as Alzheimer’s disease‚ so accurate segmentation of the hippocampus is an important scientific issue. With the development of deep learning‚ a large number of advanced automatic segmentation method have been proposed. However‚ 3D hippocampal segmentation is still challenging due to the effects of various noises in MRI and unclear boundaries between various classes of the hippocampus. Therefore‚ the aim of this paper is to propose new method to segment the hippocampal head‚ body‚ and tail more accurately. Methods To overcome these challenges‚ this paper proposed two strategies. One was the spatial and frequency domain features adaptive fusion strategy‚ which reduced the influence of noise on feature extraction by automatically selecting the appropriate frequency combination through fast Fourier transform and convolution. The other was an inter-class boundary region enhancement strategy‚ which allowed the network to focus on learning the boundary regions by weighting the loss function of the boundary regions between each class to achieve the goal of pinpointing the boundaries and regulating the size of the hippocampal head‚ body and tail. Results Experiments performed on a 50-case teenager brain MRI dataset show that our method achieves state-of-the-art hippocampal segmentation. Hippocampal head‚ body and tail had been improved compared to the existing method. Ablation experiments demonstrated the effectiveness of our two proposed strategies‚ and we also validated that the network had a strong generalization ability on a 260-case Task04_Hippocampus dataset. It was shown that the method proposed in this paper could be used in more hippocampal segmentation scenarios. Conclusion The method proposed in this paper can help clinicians to observe hippocampal atrophy more clearly and accomplish more accurate diagnosis and follow-up of the condition.

Objective:To explore the diagnostic value of serum cystatin C (CysC) and C1q tumor necrosis factor-related protein 9 (CTRP9) levels for diabetic retinopathy (DR) and diabetic macular edema (DME) in patients with type 2 diabetes.Methods:A cross-sectional study was conducted.A total of 135 patients with type 2 diabetes, aged 45-75 years, who were treated in Gansu Provincial Hospital from April 2021 to April 2022 were included.According to DR grading standard, patients were divided into non-DR (NDR) group, non-proliferative DR (NPDR) group and proliferative DR (PDR) group, with 45 patients in each group.The DR patients were subdivided into DME group (51 cases) and non-DME group (39 cases).A total of 45 healthy subjects were selected as the normal control group.Fasting peripheral venous blood was collected to detect serum glycosylated hemoglobin, fasting blood glucose, triacylglycerol, total cholesterol, high-density lipoprotein cholesterol, low-density lipoprotein cholesterol, CysC and CTRP9 levels.The expression of CysC and CTRP9 levels among different groups were compared.The independent influencing factors of DR and DME were evaluated by multivariate logistic regression analysis model.The diagnostic value of serum CysC and CTRP9 in DR and DME were evaluated by receiver operating characteristic (ROC) curve.This study adhered to the Declaration of Helsinki and the study protocol was approved by the Ethics Committee of Gansu Provincial Hospital (No.2021-301).All patients were informed about the purpose and methods of the study and signed an informed consent form.Results:Serum CysC levels in normal control group, NDR group, NPDR group and PDR group were 0.74(0.67, 0.83), 1.03(0.85, 1.22), 1.40(0.98, 1.63) and 1.66(1.31, 1.85)mg/L, respectively, showing a gradually increasing trend, and the serum CTRP9 levels were (136.90±14.95), (120.23±16.31), (109.50±14.71) and (90.99±13.88)pg/ml, respectively, showing a gradually decreasing trend, with statistically significant overall comparison differences among groups ( Z=89.430, P<0.001; F=74.242, P<0.001), the comparison within groups was statistically significant (all at P<0.05).Compared with non-DME group, the serum CysC level was significantly increased and serum CTRP9 level was significantly decreased in DME group (both P<0.05).Multivariate logistic regression analysis showed that serum CysC (odds ratio [ OR]=19.742, 95% confidence interval [ CI]: 4.515-86.316, P<0.001) was the independent risk influencing factors for the occurrence of DR, and CTRP9 ( OR=0.937, 95% CI: 0.908-0.966, P<0.001) was a protective factor for the occurrence of DR.Serum CTRP9 level ( OR=0.838, 95% CI: 0.778-0.903, P<0.001) was a protective factor for DME.The ROC curve showed that the area under ROC curve (AUC) for serum CysC and CTRP9 levels alone and in combination for the diagnosis of DR in patients with type 2 diabetes mellitus complicated by DR were 0.798, 0.802 and 0.870, respectively.The cutoff values of serum CysC and CTRP9 levels to obtain the best diagnostic efficacy were 1.34 mg/L and 110.12 pg/ml, respectively.The AUC for serum CysC and CTRP9 level alone and in combination for the diagnosis of DME in DR patients were 0.682, 0.923 and 0.923, respectively.The cutoff value of serum CTRP9 level to obtain optimal diagnostic efficacy was 104.68 pg/ml. Conclusions:The enhanced expression of serum CysC level and reduced expression of serum CTRP9 level are the risk factors for the development of DR in type 2 diabetes patients.The decrease of serum CTRP9 level is one of the risk factors for the development of DME in DR patients.

Rare diseases still lack effective treatments, and the development of drugs for rare diseases (known as orphan drugs) is an urgent medical problem. As natural active ingredients in living organisms, some biomacromolecule drugs have good biocompatibility, low immunogenicity, and high targeting. They have become one of the most promising fields in drug research and development in the 21st century. However, there are still many obstacles in terms of in vivo delivery. In view of the unique advantages of nanocarriers prepared from polymers, lipids, organic biomimetic and inorganic materials in drug delivery, researchers are committed to building an efficient delivery system with versatility and synergy to solve the bottleneck issues in treating rare diseases with biomacromolecule drugs. Therefore, this article reviews the research progress of nanocarrier delivering proteins, peptides and nucleic acids in the field of rare disease treatment in the past ten years, which provides ideas for researches on biomacromolecule drug nanosystems in the field of treatment of rare diseases.