Clinical Characteristics and Survival Analysis of Two Groups of Patients with Colon Cancer with Different Social Support

Colon cancer is the third largest cancer in the world at present[1], which is very common in developed countries, and the incidence rate in developing countries is also increasing year by year. The latest epidemiological report shows that 376000 new colon cancer patients and 191000 deaths have occurred in China. In the past ten years, our understanding of cancer has made new progress [2]. However, in the current research, there has been no progress in the research on the occurrence, development and prevention of colon cancer related to physical and mental diseases. In the latest research, there are studies on the influence of psychological factors in the molecular field from the perspective of psychology, which is of great help to the research on the occurrence, development and prognosis of colon cancer. In order to explore the influence of social psychological factors on the occurrence, development and prognosis of colon cancer, the experiment collected clinical data, social support scores, and followed up disease-free survival period and total survival period of colon cancer patients

Effect of FTY720 on the Tissue Microenvironments of Acute Spinal Cord Injury

Objectives: To observe the effect of FTY720 on the changes of tissue microenvironment after acute spinal cord injury (ASCI) in rats. Methods: A total of 168 female SD rats were randomly divided into A, B and C groups, with 56 rats in each group. In group A (Sham-operation group), only T9 laminectomy was performed without spinal cord injury, and 0.3 ml normal saline was given by gavage immediately after suture. Group B (control group) was given 0.3 ml normal saline by gavage, group C (treatment group) was given 0.3 ml FTY720 diluted in 3mg/kg normal saline by gavage. The rats were sacrificed at 6h, 12h, 24h, 72h, 7d and 21d after operation. The injured spinal cord (the corresponding part of group A) was taken for ultrathin section, and HE staining was used to observe the necrosis of the spinal cord, inflammatory cell infiltration, glial scar formation, and the size of the syringomyelia in each group. The ratio of syringomyelia area to spinal cord area was calculated 21 days after injury. SPSS 13.0 software was used for statistical analysis. Results: HE staining showed that the morphology of the spinal cord in group A was normal at each time point: At 12h to 48h after operation, progressive edema of the spinal cord and liquefaction necrosis of the injured central area were observed, accompanied by inflammatory cell infiltration, mainly neutrophils, lymphocytes and monocytes. At 12h and 72h after operation, the degree of inflammatory cell infiltration in group B was significantly higher than that in group C (P<0.05). The degree of lymphocyte infiltration in group C was significantly lower than that in group B 12 hours after operation (P< 0.05). At 72 hours after operation, the central area of the injury had formed an unorganized structure cavity, and a large number of inflammatory cells infiltrated around the cavity, mainly microglia/monocytes. The number of glial scar cells in group B was significantly higher than that in group C (P < 0.05). The syringomyelia formed 21 days after operation. The syringomyelia ratio in group B was significantly higher than that in group C (P<0.05). Conclusions: FTY720 can significantly improve neurological function in rats after ASCI possibly by inhibiting the inflammatory response after spinal cord injury, thereby reducing the secondary injury of the spinal cord

Comparative Study on the Costs of Treating Diabetic Foot, Necrotizing Fasciitis, and Stage IV Pressure Ulcers

Objective: To compare the total treatment costs for patients with diabetic foot with osteomyelitis, necrotizing fasciitis, and stage IV pressure ulcers in Dalian city, to explore the economic burden of diferent types of chronic wounds. Methods: Aretrospective analysis design was used, collecting data from 18 patients (6 of each wound type) from the electronic medical record system of a large hospital in Dalian. One-way ANOVAand Tukey’s HSD post-hoc tests were applied to compare the treatment costs of diferent wound types. Results: The treat-ment costs for the necrotizing fasciitis group were signifcantly higher than those for the stage IV pressure ulcer group, while the costs for the diabetic foot group did not show signifcant diferences from the other two groups. This fnding highlights the impact of chronic wound types on treatment costs and the importance of early intervention. Conclusion: The results provide data support for the optimized allocation of med-ical resources, especially in a context of limited resources. They emphasize the necessity of early identifcation and management of chronic wounds and provide a basis for establishing cost-efective treatment strategies

Few-photon single ionization of cold rubidium in the over-the-barrier regime

Photoionization of the rubidium (Rb) atoms cooled in a magneto-optical trap, characterized by the coexistence of the ground 5$S_{1/2}$ and the excited 5$P_{3/2}$ states, is investigated experimentally and theoretically with the 400 nm femtosecond laser pulses at intensities of $I=3\times10^9$ W/cm$^2$ - $4.5\times10^{12}$ W/cm$^2$. Recoil-ion momentum distribution (RIMD) of Rb$^+$ exhibits rich ring-like structures and their energies correspond to one-photon ionization of the 5$P_{3/2}$ state, two-photon and three-photon ionizations of the 5$S_{1/2}$ state, respectively. With the increasing of $I$, we find that experimental signals near zero-momentum (NZM) in RIMDs resulted from the 5$P_{3/2}$ state enhance dramatically and its peaked Rb$^+$ momenta dwindle obviously while that from the 5$S_{1/2}$ state is maintained. Meanwhile, the ion-yield ratio of the 5$S_{1/2}$ over the 5$P_{3/2}$ states varies from $I$ to $I^{1.5}$ as $I$ increases. These features indicate a transition from perturbative ionization to strong-perturbative ionization for the 5$P_{3/2}$ state. Numerical simulations by solving the time-dependent Schr\"odinger equation (TDSE) can qualitatively explain the measurements of RIMD, photoion angular distributions, as well as ion-yield ratio. However, some discrepancies still exist, especially for the NZM dip, which could stem from the electron-electron correlation that is neglected in the present TDSE simulations since we have adopted the single-active-electron approximation

Identification of ferroptosis-related molecular clusters and genes for diabetic osteoporosis based on the machine learning

BackgroundDiabetic osteoporosis exhibits heterogeneity at the molecular level. Ferroptosis, a controlled form of cell death brought on by a buildup of lipid peroxidation, contributes to the onset and development of several illnesses. The aim was to explore the molecular subtypes associated with ferroptosis in diabetic osteoporosis at the molecular level and to further elucidate the potential molecular mechanisms.MethodsIntegrating the CTD, GeneCards, FerrDb databases, and the microarray data of GSE35958, we identified ferroptosis-related genes (FRGs) associated with diabetic osteoporosis. We applied unsupervised cluster analysis to divide the 42 osteoporosis samples from the GSE56814 microarray data into different subclusters based on FRGs. Subsequently, FRGs associated with two ferroptosis subclusters were obtained by combining database genes, module-related genes of WGCNA, and differentially expressed genes (DEGs). Eventually, the key genes from FRGs associated with diabetic osteoporosis were identified using the least absolute shrinkage and selection operator (LASSO), Boruta, support vector machine recursive feature elimination (SVM ­ RFE), and extreme gradient boosting (XGBoost) machine learning algorithms. Based on ROC curves of external datasets (GSE56815), the model’s efficiency was examined.ResultsWe identified 15 differentially expressed FRGs associated with diabetic osteoporosis. In osteoporosis, two distinct molecular clusters related to ferroptosis were found. The expression results and GSVA analysis indicated that 15 FRGs exhibited significantly different biological functions and pathway activities in the two ferroptosis subclusters. Therefore, we further identified 17 FRGs associated with diabetic osteoporosis between the two subclusters. The results of the comprehensive analysis of 17 FRGs demonstrated that these genes were heterogeneous and had a specific interaction between the two subclusters. Ultimately, the prediction model had a strong foundation and excellent AUC values (0.84 for LASSO, 0.84 for SVM ­ RFE, 0.82 for Boruta, and 0.81 for XGBoost). IDH1 is a common gene to all four algorithms thus being identified as a key gene with a high AUC value (AUC = 0.698).ConclusionsAs a ferroptosis regulator, IDH1 is able to distinguish between distinct molecular subtypes of diabetic osteoporosis, which may offer fresh perspectives on the pathogenesis of the disease’s clinical symptoms and prognostic heterogeneity

Brachial-Ankle Pulse Wave Velocity as a Novel Modality for Detecting Early Diabetic Nephropathy in Type 2 Diabetes Patients

Brachial-ankle pulse wave velocity (baPWV) has been shown to correlate with a host of disorders associated with arterial stiffness. Type 2 diabetes is associated with the involvement of both small vessels and large vessels. Studies on the relevance of baPWV to early diabetic nephropathy are scarce. This retrospective observational case-control study enrolled 120 patients with type 2 diabetes from our medical records. We classified patients into two groups depending on the magnitude of albuminuria: 60 patients with microalbuminuria were classified as the early diabetic nephropathy group (EDN group) and 60 patients without albuminuria were classified as the diabetes without nephropathy group (DWN group). An additional 30 nondiabetic age- and sex-matched controls were also enrolled. Data regarding the lipid profile, blood pressure, baPWV, high-sensitivity C reactive protein (hs-CRP) level, anthropometric measurements, urine albumin/creatinine ratio (UACR), serum creatinine level, and glycemic control indices (i.e., fasting plasma glucose (FPG), postprandial glucose (PPG), and glycosylated hemoglobin (hemoglobin A1c, HbA1c)) were recorded for all enrolled participants. baPWV was significantly higher in the EDN group than in the DWN group. Moreover, baPWV was positively correlated with age, duration of diabetes, obesity, poor glycemic control, and high serum levels of triglycerides (TG), hs-CRP, creatinine, and uric acid as well as a high UACR (all P<0.01). A significant negative correlation was found between baPWV and high-density lipoprotein levels (P<0.05). Multivariate regression analysis showed that the hs-CRP level and duration of diabetes most strongly influenced baPWV. baPWV may be a convenient, noninvasive, and reproducible method for detecting early diabetic nephropathy

A novel clinical prediction model for in-hospital mortality in sepsis patients complicated by ARDS: A MIMIC IV database and external validation study

Background: Sepsis complicated by ARDS significantly increases morbidity and mortality, underscoring the need for robust predictive models to enhance patient management. Methods: We collected data on 6390 patients with ARDS-complicated sepsis from the MIMIC IV database. Following rigorous data cleaning, including outlier management, handling missing values, and transforming variables, we conducted univariate analysis and logistic multivariate regression. We employed the LASSO machine learning algorithm to identify risk factors closely associated with patient outcomes. These factors were then used to develop a new clinical prediction model. The model underwent preliminary assessment and internal validation, and its performance was further tested through external validation using data from 225 patients at a major tertiary hospital in China. This validation assessed the model's discrimination, calibration, and net clinical benefits. Results: The model, illustrated by a concise nomogram, demonstrated significant discrimination with an area under the curve (AUC) of 0.711 in the internal validation set and 0.771 in the external validation set, outperforming conventional severity scores such as the SOFA and SAPS II. It also showed good calibration and net clinical benefits. Conclusions: Our model serves as a valuable tool for identifying sepsis patients with ARDS at high risk of in-hospital mortality. This could enable the implementation of personalized treatment strategies, potentially improving patient outcomes

MYB Transcription Factor <i>OsC1^PLSr</i> Involves the Regulation of Purple Leaf Sheath in Rice

Although several regulators associated with purple traits in rice have been identified, the genetic basis of the purple sheath remains unclear. In the present study, F2-1 and F2-2 populations were constructed using purple sheath (H93S) and green sheath (R1173 and YHSM), respectively. In order to identify QTL loci in purple sheaths, BSA analyses were performed on the two F2 populations. A crucial QTL for purple sheath was identified, tentatively named qPLSr6, and was located in the 4.61 Mb to 6.03 Mb region of chromosome 6. Combined with expression pattern analysis of candidate genes, LOC_Os06g10350 (OsC1PLSr) was suggested as a candidate gene. The homozygous mutant KO-1 and KO-2 created through CRISPR/Cas9 editing, lost their purple leaf sheath. The RT-PCR revealed that OsC1PLSr, anthocyanin synthase (ANS), diflavonol-4-reductase (DFR), flavanone-3-hydroxylase (F3H), and flavanone-3′-hydroxylase (F3′H) expression levels were dramatically down-regulated in the mutants. The yeast report system indicated that the 145–272 aa region at the C-terminal of OsC1PLSr is a positive transcriptional activation domain. The results indicated that OsC1PLSr synthesized anthocyanins by regulating the expression of ANS, DFR, F3H, and F3′H. This study provides new insights into the genetic basis of the purple sheath