Peripheral nerve injury associated with JEV infection in high endemic regions, 2016-2020: a multicenter retrospective study in China.

Previously, we reported a cohort of Japanese encephalitis (JE) patients with Guillain-Barré syndrome. However, the evidence linking Japanese encephalitis virus (JEV) infection and peripheral nerve injury (PNI) remains limited, especially the epidemiology, clinical presentation, diagnosis, treatment, and outcome significantly differ from traditional JE. We performed a retrospective and multicenter study of 1626 patients with JE recorded in the surveillance system of the Chinese Center for Disease Control and Prevention, spanning the years 2016-2020. Cases were classified into type 1 and type 2 JE based on whether the JE was combined with PNI or not. A comparative analysis was conducted on demographic characteristics, clinical manifestations, imaging findings, electromyography data, laboratory results, and treatment outcomes. Among 1626 laboratory confirmed JE patients, 230 (14%) were type 2 mainly located along the Yellow River in northwest China. In addition to fever, headache, and disturbance of consciousness, type 2 patients experienced acute flaccid paralysis of the limbs, as well as severe respiratory muscle paralysis. These patients presented a greater mean length of stay in hospital (children, 22 years [range, 1-34]; adults, 25 years [range, 0-183]) and intensive care unit (children, 16 years [range, 1-30]; adults, 17 years [range, 0-102]). The mortality rate was higher in type 2 patients (36/230 [16%]) compared to type 1 (67/1396 [5%]). The clinical classification of the diagnosis of JE may play a crucial role in developing a rational treatment strategy, thereby mitigating the severity of the disease and potentially reducing disability and mortality rates among patients.

Prediction of pulmonary infection in patients with severe myelitis by NPAR combined with spinal cord lesion segments.

Objectives: To investigate the risk factors of pulmonary infection in patients with severe myelitis and construct a prediction model. Methods: The clinical data of 177 patients with severe myelitis at admission from the First Affiliated Hospital of Zhengzhou University from January 2020 to December 2022 were retrospectively analyzed. The predicting factors associated with pulmonary infection were screened by multivariate logistic regression analysis, and the nomogram model was constructed, and the predictive efficiency of the model was evaluated, which was verified by calibration curve, Hosmer-Lemeshow goodness-of-fit test and decision curve analysis. Results: Of the 177 patients with severe myelitis, 38 (21.5%) had pulmonary infection. Multivariate logistic regression analysis showed that neutrophil percentage to albumin ratio (NPAR) (OR = 6.865, 95%CI:1.746-26.993, p = 0.006) and high cervical cord lesion (OR = 2.788, 95%CI:1.229-6.323, p = 0.014) were independent risk factors for pulmonary infection, and the combined nomogram could easily predict the occurrence of pulmonary infection, with a C-index of 0.766 (95% CI: 0.678-0.854). The calibration curve, Hosmer-Lemeshow goodness-of-fit test (χ2 = 9.539, p = 0.299) and decision curve analysis showed that the model had good consistency and clinical applicability. Conclusion: The nomogram model constructed based on NPAR combined with high cervical cord lesion at admission has good clinical application value in predicting pulmonary infection in patients with severe myelitis, which is conducive to clinicians' evaluation of patients.

Nomogram to Predict the Prognosis of Oligodendroglioma Patients Undergoing Postoperative Adjuvant Chemoradiotherapy.

OBJECTIVE: The aim of this study was to develop a prognostic nomogram for predicting the prognosis of oligodendroglioma patients receiving combined chemoradiotherapy (CRT) after surgery. METHODS: The study used data from the Surveillance, Epidemiology, and End Results (SEER) database between 2000 and 2019. The patients were randomly divided into a development cohort (700 patients) and a validation cohort (244 patients) in a 7:3 ratio. The Cox hazards regression model was used to identify predictors, and a nomogram was constructed to visualize the prognosis. The performance of the prognostic nomogram was evaluated using the consistency index (C-index), clinical net benefit, and calibration. RESULTS: The nomogram included 5 variables: age, marital status, tumor size, site of lesions, and surgery type. The C-index of the training set and validation set were 0.77 and 0.68, respectively. The calibration plots showed that the nomogram was in good agreement with the actual observation. The clinical decision curve indicated that the nomogram had a good clinical net benefit in oligodendroglioma patients receiving CRT after surgery. CONCLUSIONS: This study established and verified a prognostic nomogram for a large cohort of oligodendroglioma patients receiving CRT after surgery based on the SEER database. The nomogram may help clinicians provide personalized treatment services and clinical decisions for patients.

The triglyceride glucose index predicts short-term mortality in non-diabetic patients with acute heart failure.

BACKGROUND: The triglyceride glucose index (TyG) has previously been considered a reliable indicator of insulin resistance (IR) and an independent prognostic predictor in heart failure (HF). OBJECTIVES: To clarify the association between the TyG and short-term death in non-diabetic patients admitted for acute heart failure (AHF). MATERIAL AND METHODS: We examined 886 out of 1620 consecutive AHF patients who were admitted to Shunde Hospital, Southern Medical University, Foshan, China, from June 1, 2014, to June 1, 2022. The median of the patientsf TyG values was used to divide them into 2 groups. The following formula was used to calculate the TyG: ln [fasting triglycerides (mg/dL) ~ fasting glucose (mg/dL)/2]. The data on all-cause mortality of AHF patients during their hospital stay were collected. The 30-day Enhanced Feedback for Effective Cardiac Treatment (EFFECT) death risk score was used to assess the risk of death. RESULTS: The TyG level was positively correlated with a poor AHF prognostic marker (N-terminal B-type natriuretic peptide (NT-proBNP)) (D = 0.207, p < 0.001) and negatively correlated with a protective marker (serum albumin) (D = .0.43, p < 0.001). Higher TyG values were associated with an elevated EFFECT score and hospital mortality (p < 0.001). According to multivariate logistic regression analysis, higher TyG levels raised the risk of death in hospital (odds ratio (OR) = 1.73; 95% confidence interval (95% CI): 1.03.3.27; p = 0.031) after adjusting for multiple variables, including age, EFFECT score and NT-proBNP. The TyG had a greater area under the receiver operating characteristic (ROC) curve (AUC: 0.688) for predicting hospital death compared to NT-proBNP (AUC: 0.506). CONCLUSIONS: Our findings show that the TyG is associated with the short-term mortality rate of non-diabetic patients admitted to the hospital for AHF. The TyG testing could be a useful prognostic indicator for these patients.

Moxibustion enables protective effects on rheumatoid arthritis-induced myocardial injury transforming growth factor beta1 signaling and metabolic reprogramming.

OBJECTIVE: To examine the effects of moxibustion on myocardial injury and myocardial metabolomics in rats with rheumatoid arthritis (RA) based on the transforming growth factor beta1 (TGF-ß1)/Smads signaling pathway. METHODS: One hundred rats were treated with saline [normal control (NC) group] or complete Freund's adjuvant (CFA) by right plantar injection for the RA model group, and the latter were randomly divided into 4 groups. Tripterygium wilfordii polyglycoside tablets (, TPT) have anti-inflammatory and are widely used in the clinical treatment of RA, therefore serving as a positive control group. Three days post injection rats were given TPT tablet (TPT group), acupuncture therapy (APT group), and moxibustion treatment (MOX group) for 15 consecutive days, while NC group and model group were equally grasped and fixed and received normal saline. Rat joint swelling scores and arthritis index (AI) were evaluated in each group before the CFA challenge, therapy and after receiving therapy. Myocardial ultrastructure was observed by electron microscope. Enzyme-linked immunosorbent assay was used to detect cardiac troponin I (cTnI) levels in rat myocardial tissue. Quantitative reverse transcription polymerase chain reaction and Western blotting analysis were used to measure the mRNA and protein levels of TGF-ß signaling molecules including TGF-ß1, Smad2, Smad3, Smad4, and Smad7. Myocardial metabolomics was analyzed using gas chromatography-mass spectrometer. RESULTS: Compared with model group, RA model rats receiving TPT, acupuncture, or moxibustion therapy all showed reduced joint swelling scores and AI (all P < 0.01) and improved myocardial damage, whereas rats treated with moxibustion were found to be more marked. Consistently, the expressions of cTnI, TGF-ß1, Smad2, Smad3, and Smad4 were found to be elevated in model rat group in contrast to NC rats and were significantly downregulated in TPT, APT and MOX group when compared with model group, while the levels of Smad7 showed the opposite result (all P < 0.01). Moreover, the dissection of metabolomics suggested a novel metabolite biomarker panel including D-Xylulose 5-phosphate, dihydroxyacetone phosphate, arachidonic acid, etc was defined and implicated in amino acid, glucose, and fatty acid metabolic processes as revealed by principal component analysis and partial least squares discriminant analysis. CONCLUSION: Moxibustion prevents RA-induced inflammatory response and offers potent therapeutic effects on myocardial dysfunctions. The protective effects might be associated with its role in TGF-ß1 inactivation and metabolic reprogramming.

Identification and functional study of detoxification-related genes in response to tolfenpyrad stress in Glyphodes pyloalis Walker (Lepidoptera: Pyralidae).

Glyphodes pyloalis Walker (G. pyloalis) is a common destructive mulberry pest. Due to the long-term and frequent use of insecticides, it has developed tolerance to commonly used insecticides. Tolfenpyrad (TFP) is a novel pyrazole heterocyclic insecticide. In order to understand the TFP detoxification mechanism of G. pyloalis larvae, we first estimated the LC30 dose of TFP for 3rd instar G. pyloalis larvae. Next, we identified genes that were differentially expressed in 3rd instar G. pyloalis larvae treated with TFP compared to the control group by transcriptome sequencing. In total, 86,949,569 and 67,442,028 clean reads were obtained from TFP-treated and control G. pyloalis larvae, respectively. A total of 5588 differentially expressed genes (DEGs) were identified in TFP-treated and control G. pyloalis larvae, of which 3084 genes were upregulated and 2504 genes were downregulated. We analyzed the expression of 43 candidate detoxification enzyme genes associated with insecticide tolerance using qPCR. According to the spatiotemporal expression pattern of DEGs, we found that CYP6ABE1, CYP333A36 and GST-epsilon8 were highly expressed in the midgut, while CarEs14 was strongly expressed in haemolymph. Furthermore, we successfully knocked down these genes by RNA interference. After silencing CYP6ABE1 and CYP333A36, bioassay showed that the mortality rate of TFP-treated G. pyloalis larvae was significantly higher compared to the control group. This study provides a theoretical foundation for understanding the sensitivity of G. pyloalis to TFP and establish the basis for the effective and green management of this pest.

A self-censoring model for multivariate nonignorable nonmonotone missing data.

We introduce an itemwise modeling approach called "self-censoring" for multivariate nonignorable nonmonotone missing data, where the missingness process of each outcome can be affected by its own value and associated with missingness indicators of other outcomes, while conditionally independent of the other outcomes. The self-censoring model complements previous graphical approaches for the analysis of multivariate nonignorable missing data. It is identified under a completeness condition stating that any variability in one outcome can be captured by variability in the other outcomes among complete cases. For estimation, we propose a suite of semiparametric estimators including doubly robust estimators that deliver valid inferences under partial misspecification of the full-data distribution. We also provide a novel and flexible global sensitivity analysis procedure anchored at the self-censoring. We evaluate the performance of the proposed methods with simulations and apply them to analyze a study about the effect of highly active antiretroviral therapy on preterm delivery of HIV-positive mothers.

Non-parametric inference about mean functionals of non-ignorable non-response data without identifying the joint distribution.

We consider identification and inference about mean functionals of observed covariates and an outcome variable subject to non-ignorable missingness. By leveraging a shadow variable, we establish a necessary and sufficient condition for identification of the mean functional even if the full data distribution is not identified. We further characterize a necessary condition for n-estimability of the mean functional. This condition naturally strengthens the identifying condition, and it requires the existence of a function as a solution to a representer equation that connects the shadow variable to the mean functional. Solutions to the representer equation may not be unique, which presents substantial challenges for non-parametric estimation, and standard theories for non-parametric sieve estimators are not applicable here. We construct a consistent estimator of the solution set and then adapt the theory of extremum estimators to find from the estimated set a consistent estimator of an appropriately chosen solution. The estimator is asymptotically normal, locally efficient and attains the semi-parametric efficiency bound under certain regularity conditions. We illustrate the proposed approach via simulations and a real data application on home pricing.

Predictive effect of the decline in CD4+ T cell levels in blood on infection in patients with severe hemorrhagic stroke and mechanism.

Objective: The purpose of this research was to evaluate the influence of immunity on infection in patients with severe hemorrhagic stroke and explore the mechanism underlying this connection. Methods: Clinical data obtained from 126 patients with severe hemorrhagic stroke were retrospectively analyzed, and the factors affecting infection were screened by multivariable logistic regression models. Nomograms, calibration curves, the Hosmer-Lemeshow goodness-of-fit test, and decision curve analysis were used to examine the effectiveness of the models in evaluating infection. The mechanism underlying the reduction in CD4+ T-cell levels in blood was explored by analysis of lymphocyte subsets and cytokines in cerebrospinal fluid (CSF) and blood. Results: The results showed that CD4+ T-cell levels of <300/µL was an independent risk factor for early infection. The models for multivariable logistic regression involving the CD4+ T-cell levels and other influencing factors had good applicability and effectiveness in evaluating early infection. CD4+ T-cell levels decreased in blood but increased in CSF. Similarly, interleukin (IL)-6 and IL-8 levels in CSF had a significant increase, generating a substantial concentration gradient between the CSF and the blood. Conclusion: Reduced blood CD4+ T-cell counts among patients who had severe hemorrhagic stroke increased the risk of early infection. CSF IL-6 and IL-8 may be involved in inducing the migration of CD4+ T cells into the CSF and decreasing blood CD4+ T-cell levels.

ß-Arylation of Racemic Secondary Benzylic Alcohols to Access Enantioenriched ß-Arylated Alcohols.

The transformation of alcohols into value-added products is of great importance, as simple alcohols are widespread and can be easily derived from both fossil fuels and biomass. The selective functionalization of a sp3 C-H bond on the alkyl side chain of an alcohol over its hydroxyl group would offer an expedient route to expand the chemical space of alcohols but it remains a challenging task. Harnessing the borrowing hydrogen strategy, the ß-arylation of secondary alcohols with aryl bromides has been achieved in this study, which allows for the selective functionalization of a ß-Csp3 -H bond in an alcohol substrate. Under the catalysis of a Pd complex, secondary alcohols reacted with aryl bromides to afford 1,2-diaryl alcohols with broad substrate scope in the presence of a ketone additive. Furthermore, the enantioconvergent version of the reaction has also been realized, transforming racemic secondary alcohols into enantioenriched chiral 1,2-diaryl alcohols under the cooperative Pd and Ru catalysis. Mechanism studies indicate that the reactions are enabled by borrowing hydrogen catalysis.

Data Integration in Causal Inference.

Integrating data from multiple heterogeneous sources has become increasingly popular to achieve a large sample size and diverse study population. This paper reviews development in causal inference methods that combines multiple datasets collected by potentially different designs from potentially heterogeneous populations. We summarize recent advances on combining randomized clinical trial with external information from observational studies or historical controls, combining samples when no single sample has all relevant variables with application to two-sample Mendelian randomization, distributed data setting under privacy concerns for comparative effectiveness and safety research using real-world data, Bayesian causal inference, and causal discovery methods.

Double Negative Control Inference in Test-Negative Design Studies of Vaccine Effectiveness.

The test-negative design (TND) has become a standard approach to evaluate vaccine effectiveness against the risk of acquiring infectious diseases in real-world settings, such as Influenza, Rotavirus, Dengue fever, and more recently COVID-19. In a TND study, individuals who experience symptoms and seek care are recruited and tested for the infectious disease which defines cases and controls. Despite TND's potential to reduce unobserved differences in healthcare seeking behavior (HSB) between vaccinated and unvaccinated subjects, it remains subject to various potential biases. First, residual confounding bias may remain due to unobserved HSB, occupation as healthcare worker, or previous infection history. Second, because selection into the TND sample is a common consequence of infection and HSB, collider stratification bias may exist when conditioning the analysis on testing, which further induces confounding by latent HSB. In this paper, we present a novel approach to identify and estimate vaccine effectiveness in the target population by carefully leveraging a pair of negative control exposure and outcome variables to account for potential hidden bias in TND studies. We illustrate our proposed method with extensive simulation and an application to study COVID-19 vaccine effectiveness using data from the University of Michigan Health System.

Improving efficiency of inference in clinical trials with external control data.

Suppose we are interested in the effect of a treatment in a clinical trial. The efficiency of inference may be limited due to small sample size. However, external control data are often available from historical studies. Motivated by an application to Helicobacter pylori infection, we show how to borrow strength from such data to improve efficiency of inference in the clinical trial. Under an exchangeability assumption about the potential outcome mean, we show that the semiparametric efficiency bound for estimating the average treatment effect can be reduced by incorporating both the clinical trial data and external controls. We then derive a doubly robust and locally efficient estimator. The improvement in efficiency is prominent especially when the external control data set has a large sample size and small variability. Our method allows for a relaxed overlap assumption, and we illustrate with the case where the clinical trial only contains a treated group. We also develop doubly robust and locally efficient approaches that extrapolate the causal effect in the clinical trial to the external population and the overall population. Our results also offer a meaningful implication for trial design and data collection. We evaluate the finite-sample performance of the proposed estimators via simulation. In the Helicobacter pylori infection application, our approach shows that the combination treatment has potential efficacy advantages over the triple therapy.

Nile tilapia DNA sensor STING is involved in the IFN-ß and AP-1 signaling pathways in the immune response dependent on DDX41.

Stimulator of interferon genes (STING) plays important roles in innate immunology. In this study, we isolated the STING gene in Nile tilapia, termed OnSTING. Using quantitative RT-PCR, we explored the expression patterns of the OnSTING gene. Using dual-luciferase reporter assays, we revealed the effect of STING overexpression on nuclear factor κB (NF-κB), IFN and AP activation in HEK 293 cells. Using coimmunoprecipitation, the interaction of STING and TRIF was studied. The effect of OnSTING overexpression on the antibacterial activity in tilapia was investigated. The results showed that upon stimulation with Streptococcus agalactiae, the OnSTING transcript was upregulated in all the tested tissues. OnSTING mRNA levels were very stable from 2.5 to 8.5 dpf. Moreover, OnSTING, OnIFN and IRF3 expression was induced by LPS, Poly (I:C), S. agalactiae WC1535 and DCPS in Nile tilapia macrophages. Overexpression of OnSTING and OnDDX41 increased NF-κB activation in HEK293T cells and slightly increased IFN-ß activation but had no effect on AP-1 activation. OnSTING interacted with OnDDX41 and OnTBK1. However, OnSTING did not interact with TRIF. OnSTING overexpression in vivo decreased the sensitivity of tilapia to S. agalactiae infection. These results are helpful for clarifying the innate immune response against bacterial infection in Nile tilapia.

Effects of Onodera′s prognostic nutritional index on the prognosis of locally advanced oropharyngeal squamous cell carcinoma after induction chemotherapy followed by sequential chemoradiotherapy / 中华放射医学与防护杂志

Objective:To explore the effects of Onodera′s prognostic nutritional index (PNI) on the prognosis of locally advanced oropharyngeal squamous cell carcinoma (LA-OPSCC) after induction chemotherapy followed by sequential chemoradiotherapy.Methods:A retrospective analysis was conducted on the clinical data of 52 LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy in The Affiliated Cancer Hospital of Guizhou Medical University during 2014-2018. The PNI values of all the patients at different treatment phases were statistically analyzed, and the ROC curve was employed to determine the optimal critical value of PNI. The patients in this study were divided into a well-nourished group ( n = 27) and a poorly-nourished group ( n = 25). The Kaplan-Meier method was used for survival analysis. The Cox proportional hazards model was utilized to analyze the relationships between different nutritional status and prognosis. Clinical features and adverse reactions were compared between the two groups. Results:The PNI values decreased significantly after radiotherapy, with an optimal critical value of 42.4. The 5-year overall survival (OS) and progression-free survival (PFS) of the well-nourished group (PNI ≥ 42.4) were 62.6% and 60.9%, respectively, which were significantly higher than those (30.1% and 29.7%) of the poorly-nourished group (PNI < 42.4, χ2 = 11.12, 5.74, P < 0.05). The multivariate analysis showed that PNI was an independent prognostic factor for the OS after radiotherapy ( HR = 2.752, 95% CI: 1.095-6.917, P = 0.031). The LA-OPSCC patients aged over 60 years or those who did not respond to induction chemotherapy accounted for a higher proportion of malnutrition after chemoradiotherapy ( χ2 = 4.89, 5.05, P < 0.05). Conclusions:PNI after radiotherapy can be used as a prognostic factor in the evaluation of LA-OPSCC patients receiving induction chemotherapy followed by sequential chemoradiotherapy. The LA-OPSCC patients aged over 60 years or those who do not respond to induction chemotherapy should receive more nutritional support during the chemoradiotherapy.

MR-guided focused ultrasound surgery for localized prostate cancer: a preliminary investigation / 中华放射学杂志

Objective:To investigate the safety and efficacy of MR-guided focused ultrasound surgery (MRgFUS) in treating localized prostate cancer.Methods:Six patients with localized prostate cancer who underwent MRgFUS treatment from August 2020 to September 2021 in Beijing Hospital were prospectively enrolled in this study. The patients were all over 18 years old, with an average age of (68±10) years, and had not received any prior treatment for prostate cancer. Pretreatment pelvic MR and CT scans were performed to determine the region of treatment (ROT). Different urinary catheterization measures were given based on the location of the lesion. Under general anesthesia, the lesions were treated by MRgFUS using a specialized rectal ultrasound transducer on the treatment bed. The patients were followed up at 1, 3, and 6 months after treatment and annually thereafter. During follow-up, prostate-specific antigen (PSA) levels, pelvic MR scans, International Prostate Symptom Score (IPSS), International Index of Erectile Function-15 (IIEF-15) scores, and adverse events were assessed.Results:(1) All six patients underwent MRgFUS treatment for six lesions, with an average duration of (126±56) minutes, an average number of (7.3±3.2) focal ultrasound pulses per lesion, and an average non-perfusion volume of (3.8±1.1) cm 3, which covered the entire treatment target area. No treatment-related adverse events were reported. (2) The PSA levels at baseline, 1, 3, 6, and 12 months after treatment were (6.6±0.8), (3.6±1.3), (3.4±3.0), (2.5±1.7), and (2.3±1.8) ng/ml, respectively. PSA levels increased in 2 out of 6 patients during follow-up, and pelvic MR scan revealed recurrent lesions, while PSA levels continued to decrease in the remaining 4 patients, and pelvic MR scan were normal. (3) The IPSS scores at baseline, 1, and 3 months after treatment were 13.0 (4.0, 16.0), 10.0 (4.0, 12.0), and 5.0 (3.0, 6.0) points, respectively. For the three sexually active patients, the IIEF-15 scores at baseline were 40, 51, and 14 points, respectively, and IIEF-15 at 1 month after treatment were 9, 8, and 14 points, respectively, and at 3 months after treatment were 9, 66 and 26 points, respectively. (4) One patient was diagnosed with recurrence 10 months after treatment, and another patient was found to have a new lesion 6 months after treatment. Conclusions:MRgFUS might be a safe, non-invasive, and effective treatment for localized prostate cancer, but regular follow-up is vital for detecting tumor recurrence.

AAZ2 induces mitochondrial-dependent apoptosis by targeting PDK1 in gastric cancer / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Drastic surges in intracellular reactive oxygen species (ROS) induce cell apoptosis, while most chemotherapy drugs lead to the accumulation of ROS. Here, we constructed an organic compound, arsenical N-‍(4-(1,3,2-dithiarsinan-2-yl)phenyl)acrylamide (AAZ2), which could prompt the ROS to trigger mitochondrial-dependent apoptosis in gastric cancer (GC). Mechanistically, by targeting pyruvate dehydrogenase kinase 1 (PDK1), AAZ2 caused metabolism alteration and the imbalance of redox homeostasis, followed by the inhibition of phosphoinositide-3-kinase (PI3K)/protein kinase B (AKT)/mammalian target of rapamycin (mTOR) pathway and leading to the activation of B-cell lymphoma 2 (Bcl2)/Bcl2-associated X (Bax)/caspase-9 (Cas9)/Cas3 cascades. Importantly, our in vivo data demonstrated that AAZ2 could inhibit the growth of GC xenograft. Overall, our data suggested that AAZ2 could contribute to metabolic abnormalities, leading to mitochondrial-dependent apoptosis by targeting PDK1 in GC.

Anticancer Activity of Diosgenin and Its Molecular Mechanism / 中国结合医学杂志

Diosgenin, a steroidal sapogenin, obtained from Trigonella foenum-graecum, Dioscorea, and Rhizoma polgonati, has shown high potential and interest in the treatment of various cancers such as oral squamous cell carcinoma, laryngeal cancer, esophageal cancer, liver cancer, gastric cancer, lung cancer, cervical cancer, prostate cancer, glioma, and leukemia. This article aims to provide an overview of the in vivo, in vitro, and clinical studies reporting the diosgenin's anticancer effects. Preclinical studies have shown promising effects of diosgenin on inhibiting tumor cell proliferation and growth, promoting apoptosis, inducing differentiation and autophagy, inhibiting tumor cell metastasis and invasion, blocking cell cycle, regulating immunity and improving gut microbiome. Clinical investigations have revealed clinical dosage and safety property of diosgenin. Furthermore, in order to improve the biological activity and bioavailability of diosgenin, this review focuses on the development of diosgenin nano drug carriers, combined drugs and the diosgenin derivatives. However, further designed trials are needed to unravel the diosgenin's deficiencies in clinical application.

Construction of wound drainage tube time delay prediction model for patients with breast cancer / 中国实用护理杂志

Objective:To investigate the independent influencing factors of wound drainage tube time delay in patients with breast cancer and establish a predictive model.Methods:Patients admitted to Tianjin Medical University Cancer Hospital from January to November 2021 were selected as the research objects. They were divided into sword modeling group (156 cases) and verification group (86 cases) according to the admission time. Delayed time to postoperative wound drainage and extubation in breast cancer patients was the end point, 95 cases of 156 patients in the modeling group whose extubation time was less than or equal to 7 days were set as the normal group, 61 cases whose extubation time were more than 7 days were set as delayed group, and the influencing factors of the two groups were compared to establish the prediction model, Hosmer-Lemeshow test was conduct to verify the fitting effect, used the ROC curve to verify the prediction model performance.Results:Univariate and multivariate Cox proportional hazards regression analysis showed that patients' high BMI, related basic disease history, operation mode, axillary lymph node dissection, breast tumor size (T3, T4) and drainage fluid volume 48 hours (≥50 ml) after operation were independent influencing factors for wound drainage tube time delay ( P<0.05). The prediction model was P=0.822, and the area under the ROC curve was 0.877, and the Youden index was 0.605, the sensitivity was 0.736, and the specificity was 0.869. The research data of 86 cases in the validation group were used as the test set for internal and external validation of the model, and the model verification was 96.51%. Conclusion:This prediction model has a good effect, providing a reference basis for clinical medical workers.

Genetic characterization of varicella-zoster virus in people aged 20 years and under in Yichang City of Hubei Province, 2019-2020 / 中华流行病学杂志

Objective: To analyze the genetic characteristics of varicella-zoster virus (VZV) in people aged 20 years and under in Yichang City of Hubei Province from 2019 to 2020. Methods: Based on the Yichang Health Big Data Platform, we investigated cases 20 and under clinically diagnosed as herpes zoster in three hospitals from March 2019 to September 2020. Collecting vesicle fluid and throat swab samples of the cases and completing questionnaires to obtain basic information. Real-time fluorescent quantitative PCR was used for positive identification of the virus. PCR amplification of VZV's open reading frame (ORF) and sequencing of the products to determine the VZV genotype. Analyze mutations at some specific single nucleotide polymorphism (SNP) sites. Results: Among 46 cases of herpes zoster, the male to female ratio was 1.3∶1 (26∶20) and the age ranged from 7 to 20 years old. Fifteen cases had been vaccinated against varicella, including 13 and 2 cases of 1 and 2 doses, respectively. VZV strains were detected in 34 samples (73.91%), all belonging to Clade 2. Phylogenetic tree analysis of the nucleotide of ORF22 showed, compared with Clade 2 referenced strains, the sequence matching degree of nucleotide for all 34 samples was 99.0% to 100.0%. Conclusion: The main VZV strain causing herpes zoster in people aged 20 years and under in Yichang from 2019 to 2020 was Clade 2.