Correlation of Blood and Intestinal Mucosa miR-34a Expressions with Disease Severity in Ulcerative Colitis Patients.

BACKGROUND: miR-34a has been implicated in many autoimmune diseases and gastrointestinal diseases. However, the expression of miR-34 in ulcerative colitis (UC) patients were not fully studied. This study was performed to in-vestigate the association of blood and intestinal tissue miR-34a expression of patients with disease severity in UC patients. METHODS: Our study enrolled 82 patients with UC and 80 age- and gender- matched healthy individuals. Blood miR-34a expressions were detected using reverse transcription-polymerase chain reaction (RT-PCR). Local intestinal miR-34a, STAT3 mRNA and IL-23 mRNA expressions were also detected in the lesioned area and adjacent non-affected intestinal tissue in patients. Disease severity of UC was assessed by Mayo score. The diagnostic value of both blood and local miR-34a expression for UC patients was assessed by receiver operating characteristic (ROC) curve. RESULTS: Blood miR-34a was increased in UC patients in contrast with healthy individuals with statistical significance. In UC patients, local intestinal miR-34a expressions were markedly upregulated compared to adjacent non-affected intestinal tissue. Local intestinal miR-34a expressions were positively correlated with STAT3 mRNA and IL-23 mNRA. Both blood and local miR-34a expressions were significantly and positively related to Mayo scores. ROC curve analysis indicated that both blood and local miR-34a expressions may act as decent marker for Mayo grade. CONCLUSIONS: Blood and intestinal tissue miR-34a expressions are correlated with disease severity in UC patients. Both blood and intestinal tissue miR-34a expressions may serve as potential diagnostic and prognostic makers for UC. Therapeutic methods targeting miR-34a may act as potential ways for UC treatment.

Disruption of TIGAR-TAK1 alleviates immunopathology in a murine model of sepsis.

Macrophage-orchestrated inflammation contributes to multiple diseases including sepsis. However, the underlying mechanisms remain to be defined clearly. Here, we show that macrophage TP53-induced glycolysis and apoptosis regulator (TIGAR) is up-regulated in murine sepsis models. When myeloid Tigar is ablated, sepsis induced by either lipopolysaccharide treatment or cecal ligation puncture in male mice is attenuated via inflammation inhibition. Mechanistic characterizations indicate that TIGAR directly binds to transforming growth factor ß-activated kinase (TAK1) and promotes tumor necrosis factor receptor-associated factor 6-mediated ubiquitination and auto-phosphorylation of TAK1, in which residues 152-161 of TIGAR constitute crucial motif independent of its phosphatase activity. Interference with the binding of TIGAR to TAK1 by 5Z-7-oxozeaenol exhibits therapeutic effects in male murine model of sepsis. These findings demonstrate a non-canonical function of macrophage TIGAR in promoting inflammation, and confer a potential therapeutic target for sepsis by disruption of TIGAR-TAK1 interaction.

Photoinduced selective perfluoroalkylation of terminal alkynes via electron donor-acceptor complexes.

Herein, we report a photoinduced selective perfluoroalkylation of terminal alkynes driven by the noncovalent interaction between a thymol anion and fluoroalkyl iodides. By precisely tuning the reaction solvent, a wide range of 37 structurally diverse perfluoroalkylated alkynes and alkenes, including ibuprofen, empagliflozin, galactose, isoxepac and indomethacin, were obtained in up to 92% yields. Mechanistic studies reveal the formation of EDA complexes between the thymol anion and fluoroalkyl iodides. This strategy may provide an important complement to traditional approaches to prepare useful perfluoroalkylated alkynes and alkenes.

The Evolution and Future Trends of Stromal Vascular Fraction: A Bibliometric Analysis.

The heterogeneous population of cells obtained from processed adipose tissue, known as stromal vascular fraction (SVF), exhibits immunomodulatory and angiogenic properties. The therapeutic efficacy of SVF has been substantiated in numerous diseases, instilling hope for its clinical application as a cellular therapy. This study aims to provide a comprehensive analysis of the scholarly literature on SVF, including its worldwide progression, highlighting significant literatures, temporal development, research clusters, current active topics, and emerging trends. The combination of CiteSpace, HistCite Pro, and VOS Viewer tools was used to analyze the SVF literature. The overall panorama of the field is elucidated in terms of publication count, timeline, institutional distribution, journal coverage, and authors' contributions. In addition, this analysis explores the literature and keywords through the lens of co-occurrence, citation, and co-citation frequencies. Clustering algorithms are used to track the trajectory of the literature further, providing insight into its development. The findings offer a comprehensive overview of the progress made in the SVF field, highlighting distinct phases of development: the "Seedling period" from 1980 to 2010, the "Panicle period" from 2011 to 2016, and the "Flowering period" from 2017 to 2023. Within these periods, the evolution of 10 clusters is unraveled, encompassing topics such as vascular disease, CD34 expression, adipose tissue macrophage in 2013, cell-assisted lipotransfer, and knee osteoarthritis. In summary, this bibliometric study, conducting a quantitative analysis of publications in SVF research, encompasses a global overview of research, an analysis of pivotal literature in the field, research hotspots, and emerging frontiers.

Association between Postmenopausal Osteoporosis and IL-6、TNF-α: A Systematic Review and A Meta-analysis.

BACKGROUND: Postmenopausal osteoporosis (PMOP) greatly increases the risk of bone fracture in postmenopausal women, seriously affects the quality of life of patients, and is an important global public health problem. Persistent chronic systemic inflammation may be involved in the change process of PMOP, and many cytokines, such as TNF-alpha and Interleukin-6, play an important role in the inflammatory response. Therefore, This study takes commonly representative inflammatory factors as indicators to better determine their role in PMOP patients by means of databases from multiple studies for use in Meta-analysis. METHOD: Systematic review of studies on the relationship between PMOP and markers of inflammation: interleukin-6 (IL-6) and tumour necrosis factor-α (TNF-α). Each effect size was expressed with a 95% confidence interval (CI), and I2 quantified the heterogeneity. The final results were aggregated and evaluated using random or fixed effects models. RESULTS: Twenty-one original studies were identified. There were twenty studies involving IL-6 and eleven involving TNF-α. Overall, The levels of IL-6[MD=23.93, 95%CI (19.65, 28.21)] and TNF-α[MD=2.9, 95%CI (2.37, 3.44)] were increased in PMOP patients compared with postmenopausal women without osteoporosis; The levels of IL-6[MD=42.4, 95%CI (38.62, 46.19)] and TNF-α[MD=0.40, 95%CI (0.36, 0.44)] were significantly higher than those of premenopausal healthy women. CONCLUSIONS: The levels of inflammatory cytokines IL-6 and TNF-α were significantly increased in PMOP patients compared with controls, suggesting that persistent chronic inflammatory reaction exists in PMOP patients, which may be an important cause of aggravated osteoporosis in postmenopausal women. Therefore, the level of IL-6 and TNF-α indexes may be of great significance for the early prevention, diagnosis, treatment and prognosis assessment of PMOP.

[Diagnostic value and interventional treatment of elbow cyst by high frequency ultrasound].

OBJECTIVE: To study and analyze the diagnostic value and interventional treatment value of high-frequency ultrasound for elbow cyst. METHODS: From February 2018 to February 2021, the data of 60 patients with elbow cyst treated by high-frequency ultrasound interventional therapy were retrospectively analyzed, including 30 males and 30 females with an average age of (30.93±5.32) years old ranging from 20 to 54 years old. The course of disease ranged from 1 to 10 years with an average of (3.45±0.25) years. High-frequency ultrasound features of all patients were analyzed. The clinical efficacy, the occurrence of adverse events and the changes of psychological status before and after treatment were analyzed. RESULTS: In 60 cases of elbow cyst, the cyst size was from 6 mm×7 mm to 111 mm×60 mm. The characteristics of ultrasonic images included such as most of the morphology was regular, which was round or oval, and a few were irregular;the boundary was clear, there was a capsule wall, most of the inside of the capsule was good, no echo;when accompanied by bleeding or infection, small dense points can be seen floating;the cystic wall of the patients with long course of disease was coarser, and the internal light bands were separated, showing multilocular shape;no significant blood flow signal was observed. Final results involved olecranon bursa cysts in 19 cases, annular ligament cysts in 10 cases, radial bursa cysts in 9 cases, accessory ligament cysts in 7 cases, epidermoid cysts in 4 cases, ganglion cysts in 6 cases, nerve sheath cysts in 5 cases. After treatment, 33 cases were cured, 16 cases had obvious effect, 11 cases were improved, 0 cases were invalid. After treatment, mild adverse events occurred in 1 case, moderate adverse events in 1 case, and severe adverse events in 0 cases, with a total incidence of 3.33% (2/60). After treatment, positive affect score (38.04±1.74) was higher than that before treatment (35.92±2.34), and negative affect score (24.61±1.51) was lower than that before treatment (30.15±3.46), with statistical significance(P<0.05). CONCLUSION: High-frequency ultrasound has high diagnostic value for elbow cyst, and it has ideal effect in interventional therapy.

Effects of kidney tonic herbs for primary osteoporosis: A systematic review and meta-analysis.

BACKGROUND: Primary osteoporosis (POP) is one of the most common orthopedic conditions with a high risk of fractures. Effective treatment of POP is crucial for reducing disability rates and improving quality of life. Kidney tonic therapy is a classical traditional Chinese medicine approach for treating POP. This study aims to provide a comprehensive and reliable assessment of the clinical evidence of kidney tonic herbs (KTH) in treating POP patients. METHODS: An extensive literature search was conducted in 8 electronic databases from their inception through September 30, 2022, to evaluate the efficacy and safety of KTH for POP. We included 43 randomized controlled trials with 4349 participants. The qualified studies will be chosen and evaluated separately by 2 researchers. The primary outcome measure was bone mineral density (BMD) of lumbar. RevMan 5.3 and Stata 16 were used to carry out the meta-analyses. RESULTS: Our meta-analysis showed 29 studies with significantly increased lumbar BMD (mean difference [MD] = 0.06; 95% confidence interval [CI]; I2 = 98%, P = .003), 18 studies with noticeably higher femoral neck BMD (MD = 0.08; 95% CI; I2 = 98%, P = .0005), 6 studies with significantly increased femoral trochanter BMD (MD = 0.10; 95% CI; I2 = 97%, P = .002), 4 studies with noticeably higher ward's triangle BMD (MD = 0.13; 95% CI; I2 = 100%, P = .04), and 3 studies with noticeably higher distal radius BMD (MD = 0.06; 95% CI; I2 = 86%, P = .009). One study showed 12 falls and 8 fallers in the intervention group, 28 falls and 17 fallers in the control group at 36 months. 3 studies showed a significant difference in fracture incidence between the intervention group and the control group (95% CI: 0.15-0.81; I2 = 0%, P = .01). Additionally, the meta-analysis demonstrated that KTH offered superior pain relief (8 trials, n = 980; 95% CI: -1.05 to -0.74; I2 = 94%, P < .00001). Besides, KTH found no serious harmful effects. DISCUSSION: KTH may increase BMD and decrease the likelihood of fractures in POP patients. However, further research is necessary to investigate the effectiveness of KTH in reducing falls and fractures.

The prevalence of osteoporotic fractures in the elderly in China: a systematic review and meta-analysis.

BACKGROUND: Prevalence information is the first step in developing preventive procedures or health services. This study was conducted to systematically evaluate the epidemiology of osteoporotic fractures in Chinese elderly aged ≥ 60 years and to provide evidence-based evidence for the prevention and treatment of osteoporotic fractures. METHODS: We identified relevant studies by searching the literature published in PubMed, Web of Science, Cochrane Library, Embase, CNKI, Wanfang Data, and VIP databases from the establishment of the database until August 2022. We used a random-effects model to obtain prevalence estimates and identified sources of heterogeneity and comparisons of prevalence among different groups through subgroup analysis and sensitivity analysis. RESULTS: A total of 29 articles were included in this study, and the prevalence of osteoporosis fractures in elderly Chinese was high (18.9%). The prevalence has increased significantly over the past decade (from 13.2% in 2000-2010 to 22.7% in 2012-2022). The prevalence of osteoporosis is higher in women than in men (18.5% vs 14.3%) and increases with age. The northern region was higher than the southern region (20.3% vs 18.9%), and the spine, hip, and distal forearm were the most common sites of fracture. CONCLUSION: The prevalence of osteoporotic fractures in the Chinese elderly is 18.9%, and timely prevention and treatment are necessary.

Severe pneumonia induces immunosenescence of T cells in the lung of mice.

Severe pneumonia may induce sequelae and accelerated aging process even after the person has recovered. However, the underline mechanism is not very clear. More research is needed to fully understand the long-term effects of severe pneumonia. In this study, we found that mice recovered from severe pneumonia showed lung immunosenescence, which was characterized by a bias naive-memory balance of T lymphocytes in the lung. The reduction of naïve T cells is associated with the diminished immune response to cancer or external new antigens, which is one of the key changes that occurs with age. Our results also indicate the link between severe pneumonia and aging process, which is mediated by the disrupted T cells homeostasis in the lungs after pneumonia.

Mathematical model of potential distribution in a pinned photodiode of an indirect time of flight CMOS image sensor.

This paper focuses on the rapid charge transfer of lock-in pixels in time of flight 3D image sensors. Through the principal analysis, a mathematical model of potential distribution in a pinned photodiode (PPD) in different comb shapes is established. Based on this model, the influence of different comb shapes on the accelerating electric field in PPD is analyzed. The semiconductor device simulation tool SPECTRA is applied to verify the effectiveness of the model, and the simulation results are analyzed and discussed. When the width of comb tooth is in narrow and medium range, the potential changes more obviously with the increase of comb tooth angle α, whereas the potential becomes stable even if the comb tooth angle α increases sharply with the wide comb tooth width. The proposed mathematical model contributes to instructing the design of pixel transferring electrons rapidly and resolving image lag.

Machine learning-based algorithms to predict severe psychological distress among cancer patients with spinal metastatic disease.

BACKGROUND CONTEXT: Metastatic spinal disease is an advanced stage of cancer patients and often suffer from terrible psychological health status; however, the ability to estimate the risk probability of this adverse outcome using current available data is very limited. PURPOSE: The goal of this study was to propose a precise model based on machine learning techniques to predict psychological status among cancer patients with spinal metastatic disease. STUDY DESIGN/SETTING: A prospective cohort study. PATIENT SAMPLE: A total of 1043 cancer patients with spinal metastatic disease were included. OUTCOME MEASURES: The main outcome was severe psychological distress. METHODS: The total of patients was randomly divided into a training dataset and a testing dataset on a ratio of 9:1. Patients' demographics, lifestyle choices, cancer-related features, clinical manifestations, and treatments were collected as potential model predictors in the study. Five machine learning algorithms, including XGBoosting machine, random forest, gradient boosting machine, support vector machine, and ensemble prediction model, as well as a logistic regression model were employed to train and optimize models in the training set, and their predictive performance was assessed in the testing set. RESULTS: Up to 21.48% of all patients who were recruited had severe psychological distress. Elderly patients (p<0.001), female (p =0.045), current smoking (p=0.002) or drinking (p=0.003), a lower level of education (p<0.001), a stronger spiritual desire (p<0.001), visceral metastasis (p=0.005), and a higher Eastern Cooperative Oncology Group (ECOG) score (p<0.001) were significantly associated with worse psychological health. With an area under the curve (AUC) of 0.865 (95% CI: 0.788-0.941) and an accuracy of up to 0.843, the gradient boosting machine algorithm performed best in the prediction of the outcome, followed by the XGBooting machine algorithm (AUC: 0.851, 95% CI: 0.768-0.934; Accuracy: 0.826) and ensemble prediction (AUC: 0.851, 95% CI: 0.770-0.932; Accuracy: 0.809) in the testing set. In contrast, the AUC of the logistic regression model was only 0.836 (95% CI: 0.756-0.916; Accuracy: 0.783). CONCLUSIONS: Machine learning models have greater predictive power and can offer useful tools to identify individuals with spinal metastatic disease who are experiencing severe psychological distress.

Treatment of patients with metastatic epidural spinal cord compression using an enhanced recovery after surgery program.

Purpose: The aims of this study were to introduce a new medical, pathway based on the concept of "enhanced recovery after surgery" (ERAS) for patients with metastatic epidural spinal cord compression (MESCC), and to test whether the ERAS program could improve clinical metrics among such patients. Methods: Data from patients with MESCC (n = 98), collected between December 2016 and December 2019 (Non-ERAS cohort), and from 86 patients with metastatic epidural spinal cord compression collected between January 2020 and December 2022 (ERAS cohort), were retrospectively analyzed. Patients were treated by decompressive surgery combined with transpedicular screw implantation and internal fixation. Patient baseline clinical characteristics were collected and compared between the two cohorts. Surgical outcomes analyzed included operation time; intraoperative blood loss; postoperative length of hospital stay; time to ambulation, regular diet, urinary catheter removal, and radiation therapy; perioperative complications; anxiety; depression; and satisfaction with treatment. Results: No significant differences in clinical characteristics were found between the non-ERAS and enhanced recovery after surgery cohorts (all p > 0.050), indicating that the two cohorts were comparable. Regarding surgical outcomes, the enhanced recovery after surgery cohort had significantly less intraoperative blood loss (p < 0.001); shorter length of postoperative hospital stay (p < 0.001); shorter time to ambulation (p < 0.001), regular diet (p < 0.001), urinary catheter removal (p < 0.001), radiation administration (p < 0.001), and systemic internal therapy (p < 0.001); lower perioperative complication rate (p = 0.024); less postoperative anxiety (p = 0.041); and higher score for satisfaction with treatment (p < 0.001); whereas operation time (p = 0.524) and postoperative depression (p = 0.415) were similar between the two cohorts. Compliance analysis demonstrated that ERAS interventions were successfully conducted in the vast majority of patients. Conclusion: The enhanced recovery after surgery intervention is beneficial to patients with metastatic epidural spinal cord compression, according to data on intraoperative blood loss; length of hospital stay; time to ambulation, regular diet, urinary catheter removal, radiation exposure, and systemic internal therapy; perioperative complication; alleviation of anxiety; and improvement of satisfaction. However, clinical trials to investigate the effect of enhanced recovery after surgery are needed in the future.

Effects from supplementary feeding of bamboo powder in perinatal period on farrowing process, serum biochemical indexes, and fecal microbes of sows and offspring piglets.

Introduction: This study was conducted to explore the effects of supplementary feeding of bamboo powder on the physical parameters of sows during the perinatal period of 7 days ± in parturition, including farrow duration, serum biochemical indexes, fecal physicochemical indexes, and microbial flora. Methods: Thirty pregnant sows were randomly divided into three groups: the control group was fed a basal diet, TRE1 group and TRE2 group were fed a basal diet supplemented with 30 g d-1 and 60 g d-1 bamboo powder, respectively. Multiple parameters of sows and offspring piglets were determined. Results: The contents of serum total cholesterol and triglyceride of sows in TRE2 group were significantly lower than those in the control group. The contents of serum malondialdehyde of sows in TRE2 and TRE1 groups were significantly lower than that in control group. The water content of sow feces in TRE2 group was significantly higher than that in control group, and the pH values of sows in TRE2 and TRE1 groups were significantly higher than that in control group. The richness index (Chao) of sow fecal bacterial community in TRE2 group was significantly lower than that of the control group, and the Ace and Sobs indexes tended to be lower than those of the control group. At the phylum level, the relative abundance of Actinobacteriota in the feces of sows in TRE2 group was significantly lower than that of the control group, while that of Fusobacteriota in the feces of suckling piglets in TRE2 group tended to be lower than that of the control group. At the genus level, among the Top10 dominant bacteria, the relative abundance of Tissierella in the feces of sows in TRE2 group was significantly lower than that of the control group while that of Fusobacterium in the feces of suckling piglets in TRE2 group tended to be lower than that of the control group. The relative abundance of Clostridium_sensu_stricto_1, Terrisporobacter, Turicibacter, and Tissierella in the feces of sows in TRE2 group was significantly lower than that of TRE1 group (p < 0.05), while Lactobacillus tended to be higher than that of TRE1 group (p < 0.10). Discussion: The results suggested that supplementary feeding 60 g d-1 bamboo powder could increase the water content in the feces of sows, reduce the oxidative damage, and tend to reduce the relative abundance of opportunistic pathogenic Fusobacterium for suckling piglets, while it reduced the fecal microbial diversity of sows.

Direct Regioselective C-H Cyanation of Purines.

A direct regioselective C-H cyanation of purines was developed through a sequential triflic anhydride activation, nucleophilic cyanation with TMSCN, followed by a process of base-mediated elimination of triflous acid (CF3SO2H). In most cases, the direct C-H cyanation occurred on the electron-rich imidazole motif of purines, affording 8-cyanated purine derivatives in moderate to excellent yields. Various functional groups, including allyl, alkynyl, ketone, ester, nitro et al. were tolerated and acted as a C8 directing group. The electron-donating 6-diethylamino, as C2-directing group substituent, can switch the regioselectivity of purine from 8- to 2-position, enabling the synthesis of 8- and 2-cyano 6-dialkylaminopurines from corresponding 6-chloropurine in different reaction order. Further functional manipulations of the cyano group allow the conversions of 8-cyanopurines to corresponding purine amides, imidates, imidothioates, imidamides, oxazolines, and isothiazoles.

A machine learning-Based model to predict early death among bone metastatic breast cancer patients: A large cohort of 16,189 patients.

Purpose: This study aims to develop a prediction model to categorize the risk of early death among breast cancer patients with bone metastases using machine learning models. Methods: This study examined 16,189 bone metastatic breast cancer patients between 2010 and 2019 from a large oncological database in the United States. The patients were divided into two groups at random in a 90:10 ratio. The majority of patients (n = 14,582, 90%) were served as the training group to train and optimize prediction models, whereas patients in the validation group (n = 1,607, 10%) were utilized to validate the prediction models. Four models were introduced in the study: the logistic regression model, gradient boosting tree model, decision tree model, and random forest model. Results: Early death accounted for 17.4% of all included patients. Multivariate analysis demonstrated that older age; a separated, divorced, or widowed marital status; nonmetropolitan counties; brain metastasis; liver metastasis; lung metastasis; and histologic type of unspecified neoplasms were significantly associated with more early death, whereas a lower grade, a positive estrogen receptor (ER) status, cancer-directed surgery, radiation, and chemotherapy were significantly the protective factors. For the purpose of developing prediction models, the 12 variables were used. Among all the four models, the gradient boosting tree had the greatest AUC [0.829, 95% confident interval (CI): 0.802-0.856], and the random forest (0.828, 95% CI: 0.801-0.855) and logistic regression (0.819, 95% CI: 0.791-0.847) models came in second and third, respectively. The discrimination slopes for the three models were 0.258, 0.223, and 0.240, respectively, and the corresponding accuracy rates were 0.801, 0.770, and 0.762, respectively. The Brier score of gradient boosting tree was the lowest (0.109), followed by the random forest (0.111) and logistic regression (0.112) models. Risk stratification showed that patients in the high-risk group (46.31%) had a greater six-fold chance of early death than those in the low-risk group (7.50%). Conclusion: The gradient boosting tree model demonstrates promising performance with favorable discrimination and calibration in the study, and this model can stratify the risk probability of early death among bone metastatic breast cancer patients.

Mesoporous Graphitic Carbon Nitride Photocatalyzed Switchable Divergent Perfluoroalkylation of Terminal Alkynes.

An efficient and eco-friendly heterogeneous photocatalytic system for the switchable divergent perfluoroalkylation of terminal alkynes has been developed by employing mesoporous graphitic carbon nitride (mpg-CN) as a recyclable, nontoxic, and heavy-metal-free photocatalyst. Regulating the reaction solvents allowed libraries of perfluoroalkylated alkynes, alkenes, and alkenyl iodides to be synthesized in good-to-high yields. Furthermore, mpg-CN is applicable for gram-scale photosynthesis and could be readily recovered for successive reuses.