[Development and application of an smart emergency respirator with open airway]

To solve the problems of insufficient airway opening, insufficient or excessive ventilation, ventilation interruption, and the rescuer's physical strength during the process of cardiopulmonary resuscitation (CPR) outside the hospital and in the hospital, and to ensure the accuracy of ventilation frequency rate and tidal volume. Zhongnan Hospital and School of Nursing, Wuhan University, jointly designed and developed a smart emergency respirator with open airway function, that has been granted National Utility Model Patent of China (ZL 2021 2 1557989.8). The device is structured of pillow, pneumatic booster pump and mask. It can be used simply by plugging the pillow under the patient's head and shoulder, turning on the power supply and wearing the mask. The smart emergency respirator can quickly and effectively open the patient's airway and give accurate ventilation with adjustable ventilation parameters. The default settings are 10 times/min in respiratory rate and 500 mL in tidal volume. The whole operation does not require the operator have professional operation ability, which can be independently applied used in any cases without oxygen source or power supply, therefore, the application scenario has no limit. The device has the advantages of small size, simple operation and low production cost, which can reduce human source, save physical strength and significantly improve the quality of CPR. The device is suitable for respiratory support in multiple scenes outside and inside the hospital, and can significantly improve the success rate of treatment.

Chronotype and insomnia may affect the testosterone levels with a sexual difference: a Mendelian randomization

OBJECTIVE

To evaluate the causal effects of sleep traits (i.e., chronotype, insomnia, and sleep duration) on bioavailable testosterone (BT), sex hormone-binding globulin (SHBG), and total testosterone (TT) levels in women and men.

METHODS

We performed Mendelian randomization (MR) using random-effect inverse-variance weighted (IVW) and 7 other MR analyses. Exposure data for sleep traits were obtained from the largest-to-date genome-wide association study (GWAS) from 339,926 to 1,331,010 individuals. Summary data for testosterone levels were obtained from GWAS based on the UK Biobank.

RESULTS

For women, our study supported that chronotype was associated with decreased BT (IVW: β = - 0.042, 95% CI - 0.060, - 0.023, p = 1.17E-05) and TT (IVW: - 0.053, 95% CI - 0.075, - 0.031, p = 2.30E-06). Besides, insomnia can significantly increase BT (IVW: β = 0.025, 95% CI 0.009, 0.041, p = 0.002). These findings were significant in most sensitivity analyses. For men, statistical significance was found between chronotype and BT (β = - 0.027, 95% CI - 0.048, - 0.005, p = 0.016), and insomnia and TT (β = - 0.028, 95% CI - 0.049, 0.007, p = 0.009) in IVW. However, the effect estimates were not broadly consistent with other sensitivity analyses. Our study did not find support for causal effects of sleep duration on testosterone levels in both women and men.

CONCLUSION

Our study reveals the sex differences in the effects of sleep traits on testosterone levels. A healthy sleep habit is vital for the maintenance of testosterone homeostasis in women. Further studies are warranted to investigate the associations between sleep traits and testosterone levels in men.

Magnetic-field-synchronized wireless modulation of neural activity by magnetoelectric nanoparticles

The in vitro study demonstrates wirelessly controlled modulation of neural activity using magnetoelectric nanoparticles (MENPs), synchronized to magnetic field application with a sub-25-msec temporal response. Herein, MENPs are sub-30-nm CoFe₂O₄@BaTiO₃ core-shell nanostructures. MENPs were added to E18 rat hippocampal cell cultures (0.5 μg of MENPs per 100,000 neurons) tagged with fluorescent Ca²⁺ sensitive indicator cal520. MENPs were shown to wirelessly induce calcium transients which were synchronized with application of 1200-Oe bipolar 25-msec magnetic pulses at a rate of 20 pulses/sec. The observed calcium transients were similar, in shape and magnitude, to those generated through the control electric field stimulation with a 50-μA current, and they were inhibited by the sodium channel blocker tetrodotoxin. The observed MENP-based magnetic excitation of neural activity is in agreement with the non-linear M - H hysteresis loop of the MENPs, wherein the MENPs' coercivity value sets the threshold for the externally applied magnetic field.

Effectiveness of vitamin D supplementation on knee osteoarthritis - A target trial emulation study using data from the Osteoarthritis Initiative cohort

OBJECTIVE

To assess the real-world effectiveness of vitamin D supplementation in patients with knee osteoarthritis (KOA) by replicating a randomized controlled trial (RCT) design in an observational study.

METHOD

This study emulated a target trial using data from the Osteoarthritis Initiative (OAI). Eligible participants were ≥45 years, had symptomatic KOA and did not take vitamin D supplements in the past 30 days. A participant can enter the trial more than once. Participants were included in vitamin D group if they took ≥1,000 IU/day for ≥4 days/week in the past 30 days at the first follow-up visit after baseline. The control group did not use vitamin D in the past 30 days. Optimal propensity score matching at 1:1 ratio was performed. The primary outcome was change in knee pain 2 years after baseline measured by the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). Secondary outcomes included WOMAC physical function and quantitative joint space width (JSW). Standardized mean difference (SMD) was used to compare the findings with previous RCTs.

RESULTS

A total of 236 person-trials in the vitamin D group were pair-matched with a control. Compared to the control group, vitamin D supplementation did not reach significant changes in WOMAC pain (SMD = -0.04, 95%CI [-0.21, 0.13]), physical function and radiographic JSW over 2 years. The SMDs were consistent with the effect sizes reported in previous RCTs.

CONCLUSION

Target trial emulation in the OAI cohort demonstrated findings close to published RCTs. This supports the future use of target trial emulation in evaluating other systemic therapies for KOA.

Development and validation of chest CT-based imaging biomarkers for early stage COVID-19 screening

Coronavirus Disease 2019 (COVID-19) is currently a global pandemic, and early screening is one of the key factors for COVID-19 control and treatment. Here, we developed and validated chest CT-based imaging biomarkers for COVID-19 patient screening from two independent hospitals with 419 patients. We identified the vasculature-like signals from CT images and found that, compared to healthy and community acquired pneumonia (CAP) patients, COVID-19 patients display a significantly higher abundance of these signals. Furthermore, unsupervised feature learning led to the discovery of clinical-relevant imaging biomarkers from the vasculature-like signals for accurate and sensitive COVID-19 screening that have been double-blindly validated in an independent hospital (sensitivity: 0.941, specificity: 0.920, AUC: 0.971, accuracy 0.931, F1 score: 0.929). Our findings could open a new avenue to assist screening of COVID-19 patients.

Develop a diagnostic tool for dementia using machine learning and non-imaging features

Background

Early identification of Alzheimer’s disease or mild cognitive impairment can help guide direct prevention and supportive treatments, improve outcomes, and reduce medical costs. Existing advanced diagnostic tools are mostly based on neuroimaging and suffer from certain problems in cost, reliability, repeatability, accessibility, ease of use, and clinical integration. To address these problems, we developed, evaluated, and implemented an early diagnostic tool using machine learning and non-imaging factors.

Methods and results

A total of 654 participants aged 65 or older from the Nursing Home in Hangzhou, China were identified. Information collected from these patients includes dementia status and 70 demographic, cognitive, socioeconomic, and clinical features. Logistic regression, support vector machine (SVM), neural network, random forest, extreme gradient boosting (XGBoost), least absolute shrinkage and selection operator (LASSO), and best subset models were trained, tuned, and internally validated using a novel double cross validation algorithm and multiple evaluation metrics. The trained models were also compared and externally validated using a separate dataset with 1,100 participants from four communities in Zhejiang Province, China. The model with the best performance was then identified and implemented online with a friendly user interface. For the nursing dataset, the top three models are the neural network (AUROC = 0.9435), XGBoost (AUROC = 0.9398), and SVM with the polynomial kernel (AUROC = 0.9213). With the community dataset, the best three models are the random forest (AUROC = 0.9259), SVM with linear kernel (AUROC = 0.9282), and SVM with polynomial kernel (AUROC = 0.9213). The F1 scores and area under the precision-recall curve showed that the SVMs, neural network, and random forest were robust on the unbalanced community dataset. Overall the SVM with the polynomial kernel was found to be the best model. The LASSO and best subset models identified 17 features most relevant to dementia prediction, mostly from cognitive test results and socioeconomic characteristics.

Conclusion

Our non-imaging-based diagnostic tool can effectively predict dementia outcomes. The tool can be conveniently incorporated into clinical practice. Its online implementation allows zero barriers to its use, which enhances the disease’s diagnosis, improves the quality of care, and reduces costs.

Feasibility and positive effects of scalp acupuncture for modulating motor and cerebral activity in Parkinson's disease: A pilot study

BACKGROUND

A variety of acupuncture therapies have shown efficacy in Parkinson's disease (PD).

OBJECTIVE

To evaluate scalp acupuncture (SA) effects on motor and cerebral activity by using gait equipment and resting-state functional magnetic resonance imaging (rs-fMRI).

METHODS

Twelve patients with PD received SA. They underwent the first functional-imaging scan after tactile stimulation and the second scan following needle removal. Gait test and local sensation assessment were performed immediately after each functional scan. Gait parameter differences between pre- and post-SA were analyzed using a paired t-test and altered brain areas in degree centrality (DC) and fractional amplitude of low-frequency fluctuation (fALFF) were identified between the two scans.

RESULTS

Eight patients completed the experiment. Stride length, maximum ankle height, maximum ankle horizontal displacement, gait speed, and range of shank motion significantly increased post-treatment (P <  0.05). fALFF in left middle frontal gyrus and DC in left cerebellum (corrected) increased, while fALFF in left inferior parietal lobule (corrected) during SA decreased, compared with those in tactile stimulation. A positive correlation was observed between right limb swings and both fALFF areas.

CONCLUSIONS

Differences in gait and brain analyses presented modulation to motor and brain activity in PD, thus, providing preliminary evidence for SA efficacy.

Effect of peer videorecording feedback CPR training on students' practical CPR skills: a randomized controlled manikin study

BACKGROUND

The aim of this study was to compare one-month acquisition and half-a-year quality retention of cardiopulmonary resuscitation (CPR) skills after initial training of medical students between peer videorecording feedback training (PVF) and traditional peer verbal feedback training (TVF).

METHODS

Participants were randomly assigned to the PVF group (n = 62) and the TVF group (n = 65). All participants received a 45-min CPR training program performed by an American Heart Association basic life support-certified instructor, and then they began two hours of practice in groups. During interactive peer learning, students cooperated in couples of a doer and a helper to realize maximization of each other's learning. In the PVF group, training performance feedback came from peers based on practice videorecording. In the TVF group, feedback came from peers verbally without videorecording. CPR quality was tested at 1 and 6 months after training.

RESULTS

After 1 month of initial training, the PVF group had a better presentation of CPR skills acquisition than the TVF group. Compared to the TVF group, the PVF group had significantly higher total scores, compression depth, appropriate compression depth, and complete chest recoil (p < 0.05). Moreover, compression interruption was a significantly positive change in the PVF group compared to the TVF group (p < 0.05). However, after 6 months, proportions of appropriate compression depth in the PVF group were better than those in the TVF group (p < 0.05). The differences in total scores, compression depth, appropriate compression depth, complete chest recoil and compression interruption were non-significant (all p > 0.05).

CONCLUSIONS

Compared to TVF, PVF is more effective in enhancing CPR skill acquisition at 1 month. After half a year, CPR skill quality was obviously reduced in both groups, and no difference in CPR quality was found between the two groups.

Clinical significance and molecular annotation of cellular morphometric subtypes in lower-grade gliomas discovered by machine learning

BACKGROUND

Lower-grade gliomas (LGG) are heterogeneous diseases by clinical, histological, and molecular criteria. We aimed to personalize the diagnosis and therapy of LGG patients by developing and validating robust cellular morphometric subtypes (CMS) and to uncover the molecular signatures underlying these subtypes.

METHODS

Cellular morphometric biomarkers (CMBs) were identified with artificial intelligence technique from TCGA-LGG cohort. Consensus clustering was used to define CMS. Survival analysis was performed to assess the clinical impact of CMBs and CMS. A nomogram was constructed to predict 3- and 5-year overall survival (OS) of LGG patients. Tumor mutational burden (TMB) and immune cell infiltration between subtypes were analyzed using the Mann-Whitney U test. The double-blinded validation for important immunotherapy-related biomarkers was executed using immunohistochemistry (IHC).

RESULTS

We developed a machine learning (ML) pipeline to extract CMBs from whole-slide images of tissue histology; identifying and externally validating robust CMS of LGGs in multicenter cohorts. The subtypes had independent predicted OS across all three independent cohorts. In the TCGA-LGG cohort, patients within the poor-prognosis subtype responded poorly to primary and follow-up therapies. LGGs within the poor-prognosis subtype were characterized by high mutational burden, high frequencies of copy number alterations, and high levels of tumor-infiltrating lymphocytes and immune checkpoint genes. Higher levels of PD-1/PD-L1/CTLA-4 were confirmed by IHC staining. In addition, the subtypes learned from LGG demonstrate translational impact on glioblastoma (GBM).

CONCLUSIONS

We developed and validated a framework (CMS-ML) for CMS discovery in LGG associated with specific molecular alterations, immune microenvironment, prognosis, and treatment response.

Short-term effects of ambient air pollution on daily emergency room visits for abdominal pain: a time-series study in Wuhan, China

Short-term exposure to ambient air pollution has been proven to result in respiratory, cardiovascular, and digestive diseases, leading to increased emergency room visits (ERVs). Abdominal pain complaints provide a large proportion of the ERVs, as yet few studies have focused on the correlations between ambient air pollution and abdominal pain, especially in emergency departments within China. Daily data for daily ERVs were collected in Wuhan, China (from January 1, 2016 to December 31, 2018), including air pollution concentration (SO₂, NO₂, PM_2.5, PM₁₀, CO, and O₃), and meteorological variables. We conducted a time-series study to investigate the potential correlation between six ambient air pollutants and ERVs for abdominal pain and their effects, in different genders, ages, and seasons. A total of 16,318 abdominal pain ERVs were identified during the study period. A 10-μg/m³ increase in concentration of SO₂, NO₂, PM_2.5, PM₁₀, CO, and O₃ corresponded respectively to incremental increases in abdominal pain of 4.89% (95% confidence interval [CI]: - 1.50-11.70), 1.85% (95% CI: - 0.29-4.03), 0.83% (95% CI: - 0.05-1.72), - 0.22% (95% CI: - 0.73-0.30), 0.24% (95% CI: 0.08-0.40), and 0.86% (95% CI: 0.04 - 1.69). We observed significant correlations between CO and O₃ and increases in daily abdominal pain ERVs and positive but insignificant correlations between the other pollutants and ERVs (except PM₁₀). The effects were stronger for females (especially SO₂ and O₃: 13.53% vs. - 2.46%; 1.20% vs. 0.47%, respectively) and younger people (especially CO and O_3: 0.25% vs. 0.01%; 1.36% vs. 0.15%, respectively). Males (1.38% vs. 0.87%) and elders (1.27% vs. 0.99%) were more likely to be affected by PM_2.5. The correlations with PM_2.5 were stronger in cool seasons (1.25% vs. - 0.07%) while the correlation with CO was stronger in warm seasons (0.47% vs. 0.14%). Our time-series study suggests that short-term exposure to air pollution (especially CO and O₃) was positively correlated with ERVs for abdominal pain in Wuhan, China, and that the effects varied by season, gender and age. These data can add evidence on how air pollutants affect the human body and may prompt hospitals to take specific precautions on polluted days and maintain order in emergency departments made busier due to the pollution.

Transcriptome-Wide N6-Methyladenosine Methylome Alteration in the Rat Spinal Cord After Acute Traumatic Spinal Cord Injury

Recent studies showed that RNA N6-methyladenosine (m6A) plays an important role in neurological diseases. We used methylated RNA immunoprecipitation sequencing (MeRIP-Seq) technology to generate the m6A modification map after traumatic spinal cord injury (TSCI). A total of 2,609 differential m6A peaks were identified after TSCI. Our RNA sequencing results after TSCI showed 4,206 genes with significantly altered expression. Cross-link analysis of m6A sequencing results and RNA sequencing results showed that 141 hyper-methylated genes were upregulated, 53 hyper-methylated genes were downregulated, 57 hypo-methylated genes were upregulated, and 197 hypo-methylated genes were downregulated. Among these, the important inflammatory response factor Tlr4 and the important member of the neurotrophin family Ngf were both upregulated and hyper-methylated after TSCI. This study provides that in the future, the epigenetic modifications of the genes could be used as an indicator of TSCI.

Electroacupuncture Ameliorates Mechanical Allodynia of a Rat Model of CRPS-I via Suppressing NLRP3 Inflammasome Activation in Spinal Cord Dorsal Horn Neurons

Complex regional pain syndrome type-I (CRPS-I) is a chronic neurological disorder that results in severe pain and affects patients' life quality. Conventional therapies usually lack effectiveness. Electroacupuncture (EA) is an effective physical therapy for relieving CRPS-I pain. However, the mechanism underlying EA-induced analgesia on CRPS-I still remain unknown. Spinal NLRP3 inflammasome was recently identified to contribute to pain and neuroinflammation in a rat model of CRPS-I by our group. Here, we aimed to study whether EA could inhibit spinal NLRP3 inflammasome activation, thus resulting in pain relief and attenuation of spinal neuroinflammation in the rat model of CRPS-I. We established the rat chronic post-ischemic pain (CPIP) model to mimic CRPS-I. CPIP rats developed remarkable mechanical allodynia that could be relieved by daily EA intervention. NLRP3 inflammasome was activated in spinal cord dorsal horn (SCDH) of CPIP rats, accompanied with over-production of pro-inflammatory cytokine IL-1β. Immunostaining revealed that the cellular distribution of NLRP3 was predominantly located in SCDH neurons. Pharmacological activation of NLRP3 inflammasome per se is sufficient to produce persistent mechanical allodynia in naïve animals, whereas blocking NLRP3 inflammasome attenuates mechanical allodynia of CPIP rats. EA exclusively reduced NLRP3 overexpression in SCDH neurons and attenuated spinal glial cell over-activation in CPIP rats. EA-induced anti-allodynia with attenuation of spinal glial cell over-activation were all mimicked by intrathecal blocking NLRP3 inflammasome and reversed by activating NLRP3 inflammasome, respectively, through pharmacological methods. Finally, spinal blocking IL-1β attenuated mechanical allodynia and spinal glial cell over-activation in CPIP rats, resembling the effects of EA. In all, these results demonstrate that spinal NLRP3 inflammasome activation contributes to mechanical allodynia of the rat model of CRPS-I and EA ameliorates mechanical allodynia through inhibiting NLRP3 inflammasome activation in SCDH neurons. Our study further supports EA can be used as an effective treatment for CRPS-I.

Toxic Effects of Thioacetamide-Induced Femoral Damage in New Zealand White Rabbits by Activating the p38/ERK Signaling Pathway

Thioacetamide (TAA) is widely used in the production of drugs, pesticides and dyeing auxiliaries. Moreover, it is a chemical that can cause liver damage and cancer. TAA has recently been identified to cause bone damage in animal models. However, the type of bone damage that TAA causes and its potential pathogenic mechanisms remain unclear. The toxic effects of TAA on the femurs of New Zealand white rabbits and the underlying toxicity mechanism were investigated in this study. Serum samples, the heart, liver, kidney and femurs were collected from rabbits after intraperitoneal injection of TAA for 5 months (100 and 200 mg/kg). The New Zealand white rabbits treated with TAA showed significant weight loss and femoral shortening. The activities of total bilirubin, total bile acid and gamma-glutamyl transpeptidase in the serum were increased following treatment with TAA. In addition, the cortical bone became thinner, and the trabecular thickness decreased significantly in TAA-treated rabbits, which was accompanied by significantly decreased mineral density of the cortical and trabecular bone. Moreover, there was a significant decrease in modulus of elasticity and maximum load on bone stress in TAA-treated rabbits. The western blotting results showed that the expression of phosphorylated (p)-p38 and p-ERK in femur tissues of rabbits were increased after TAA administration. Collectively, these results suggested that TAA may lead to femoral damage in rabbits by activating the p38/ERK signaling pathway.

Computational diffraction reveals long-range strains, distortions and disorder in molecular dynamics simulations of irradiated single crystals

Atomic-scale simulations, and in particular molecular dynamics (MD), are key assets to model the behavior of the structure of materials under the action of external stimuli, say temperature, strain or stress, irradiation, etc. Despite the widespread use of MD in condensed matter science, some basic material characteristics remain difficult to determine. This is, for instance, the case for the long-range strain tensor, and its root-mean-squared fluctuations, in disordered materials. In this work, computational diffraction is introduced as a fast and reliable structural characterization tool of atomic-scale simulation cells in the case of irradiated single crystals. In contrast to direct-space methods, computational diffraction operates in the reciprocal space and is therefore highly sensitive to long-range spatial correlations. With the example of irradiated UO2 single crystals, it is demonstrated that the normal strains, shear strains and rotations, as well as their root-mean-squared fluctuations (microstrain) and the atomic disorder, are straightforwardly and unambiguously determined. The methodology presented here has been developed with efficiency in mind, in order to be able to provide simple and reliable characterizations either operating in real time, in parallel with other analysis tools, or operating on very large data sets.

[The citation analysis of the articles published in Chinese Journal of Otorhinolaryngology Head and Neck Surgery from 2009 to 2019]

Objective: To analyze the citation of articles in Chinese Journal of Otorhinolaryngology Head and Neck Surgery, and to explore the strategy for running scientific journals. Methods: Using the Citation Database of Chinese Biomedical Journals, the citations of articles in this journal from 2009 to 2019 were statistically analyzed, and the characteristics of highly cited articles were analyzed. Results: From 2009 to 2019, Chinese Journal of Otorhinolaryngology Head and Neck Surgery published 2 814 papers. Cited papers accounted for 75.69% of all papers, and each paper was cited 7.24 times. The citation rate of published papers was consistent with the variation trend of citation frequency. Non treatises such as guide consensus and original articles for special issues were cited better. There was no obvious correlation between paper funding and citation. Conclusion: Improving the content quality and optimizing the column setting are important measures to enhance the influence of scientific journals.

Acupuncture in the Treatment of Parkinson's Disease with Sleep Disorders and Dose Response

Acupuncture can effectively improve the sleep state, and most PD patients have sleep disorders. In this study, we used acupuncture to intervene in the sleep state of PDSD, so as to observe the changes and dose effect of Acutreatment on PDSD. 57 patients with PDSD, during medical treatment, aged 40-70 years were recruited to enroll in this trial. Each participant completed one condition, namely, Acutreatment (n = 30) and sham Acutreatment (placebo, stick flat needle on skin, n = 27). The Acutreatment was applied for 30 min once a day for a 30-day observation. UPDRSIII scores for motor symptom assessment and sleeping quality were assessed by PDSS-2, ESS as well as ActiGraph. Scale evaluation was made on the first day of admission and the thirtieth day. There were significant differences on all outcome indicators, except UPDRSIII, on day 30 compared with day 1 (P < 0.01). Compared with sham Acutreatment therapy, Acutreatment therapy has better performance in sleep latency, total sleep time, and sleep efficiency (P < 0.01). ActiGraph indicated that sleep efficiency of sham or Acutreatment in day 6 was significantly lower than that in day 5 (P < 0.05 and P < 0.01) and Acutreatment in day 7 was significantly lower than that in day 6 (P < 0.01). The sleep efficiency of Acutreatment in days 5, 6, and 7 was significantly higher than that in sham Acutreatment (P < 0.01). Moreover, Acutreatment in days 26, 27, and 28 was significantly higher than that in sham Acutreatment (P < 0.01). There was a close correlation between the difference of UPDRSIII and PDSS-2 (r = 0.5090, P < 0.05), sleep latency (r = 0.7201, P < 0.01), TST (r = -0.6136, P < 0.01), and sleep efficiency (r = -0.6707, P < 0.01). The sleep condition of PDSD patients can be improved by acupuncture, which can effectively relieve sleep quality, can also be shown by ActiGraph, and shows a dose-response relationship. Future research should explore Acutreatment with a larger sample size and compare the Acutreatment protocol goal formation of the system scheme.

The relationship between serum 25-hydroxyvitamin-D level and sweat function in patients with type 2 diabetes mellitus

AIMS

The objective of this study is to explore the relationship between serum 25-hydroxyvitamin-D(25-(OH)₂D₃) level and sweat function in patients with type 2 diabetes mellitus (T2DM).

METHODS

A cross-sectional study of 1021 patients with T2DM who underwent 25-(OH)₂D₃ level detections and sweat function tests was carried out. These individuals were divided into deficient groups (n = 154 cases), insufficient groups (n = 593 cases) and sufficient groups (n = 274 cases). Spearman correlation analysis and multivariate stepwise linear regression analysis were implemented to determine the association of 25-(OH)2D3 level and sweat function.

RESULTS

The total presence of sweating dysfunction was 38.59%. Patients with a lower level of serum 25-(OH)₂D₃ had more severe sweat secretion impairment (P < 0.05). As the decrease of serum 25-(OH)₂D₃ level, the presence of sweating dysfunction increased (P < 0.05). 25-(OH)₂D₃ level was positively correlated with sweat function parameters, age and duration of T2DM were negatively correlated with sweat function parameter (P < 0.05). Multivariate stepwise linear regression analysis explored a significant association between serum 25-(OH)₂D₃ level with sweat function (P < 0.05).

CONCLUSIONS

Serum 25-(OH)₂D₃ level was positively correlated with sweat function in patients with T2DM.

Electroacupuncture Combined With Diet Treatment Has a Therapeutic Effect on Perimenopausal Patients With Abdominal Obesity by Improving the Community Structure of Intestinal Flora

Background: This study explored the influences of electroacupuncture combined with dietary intervention on the intestinal flora in perimenopausal patients with abdominal obesity by using the 16s rRNA sequencing technology.

Methods: Perimenopausal patients with abdominal obesity were divided into the Electroacupuncture group and the Control group. Patients in the Control group received healthy lifestyle education, while those in the Electroacupuncture group received electroacupuncture combined with dietary intervention. Before and after treatment, the weight, height, waist circumference, hip circumference, waist-height ratio (WHtR), waist to hip ratio (WHR), and body mass index (BMI) of the patients were recorded; the levels of serum triglyceride (TG), total cholesterol (TC), low-density lipoprotein (LDL), high-density lipoprotein cholesterol (HDL-C), fasting insulin (FINS), and fasting blood glucose (FGB) were evaluated; and the abundance, diversity, and species differences of intestinal flora were analyzed using 16s rRNA sequencing technology.

Results: The body weight, waist circumference, hip circumference, BMI, WHR, and WHtR of patients in the Electroacupuncture group after treatment were lower than those before treatment. Compared with the Control group, patients in the Electroacupuncture group after treatment displayed lower waist circumference, WHtR, WHR, TG, and LDL levels as well as species abundance, higher species diversity, and lager species difference in the intestinal flora. Besides, the proportions of Klebsiella and Kosakonia in the intestinal flora of patients in the Electroacupuncture group after treatment were larger than those before treatment.

Conclusion: Electroacupuncture combined with diet treatment generated a therapeutic effect on abdominal obesity in perimenopausal patients by improving the community structure of intestinal flora.

Establishment and validation of prognosis model for patients with cerebral contusion

Background And Objective

Cerebral Contusion (CC) is one of the most serious injury types in patients with traumatic brain injury (TBI). In this study, the baseline data, imaging features and laboratory examinations of patients with CC were summarized and analyzed to develop and validate a prediction model of nomogram to evaluate the clinical outcomes of patients.

Methods

A total of 426 patients with cerebral contusion (CC) admitted to the People’s Hospital of Qinghai Province and Affiliated Hospital of Qingdao University from January 2018 to January 2021 were included in this study, We randomly divided the cohort into a training cohort (n = 284) and a validation cohort (n = 142) with a ratio of 2:1.At Least absolute shrinkage and selection operator (Lasso) regression were used for screening high-risk factors affecting patient prognosis and development of the predictive model. The identification ability and clinical application value of the prediction model were analyzed through the analysis of receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).

Results

Twelve independent prognostic factors, including age, Glasgow Coma Score (GCS), Basal cistern status, Midline shift (MLS), Third ventricle status, intracranial pressure (ICP) and CT grade of cerebral edema,etc., were selected by Lasso regression analysis and included in the nomogram. The model showed good predictive performance, with a C index of (0.87, 95% CI, 0.026–0.952) in the training cohort and (0.93, 95% CI, 0.032–0.965) in the validation cohort. Clinical decision curve analysis (DCA) also showed that the model brought high clinical benefits to patients.

Conclusion

This study established a high accuracy of nomogram model to predict the prognosis of patients with CC, its low cost, easy to promote, is especially applicable in the acute environment, at the same time, CSF-glucose/lactate ratio(C-G/L), volume of contusion, and mean CT values of edema zone, which were included for the first time in this study, were independent predictors of poor prognosis in patients with CC. However, this model still has some limitations and deficiencies, which require large sample and multi-center prospective studies to verify and improve our results.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12883-021-02482-4.

Silencing IKBKE inhibits the migration and invasion of glioblastoma by promoting Snail1 degradation

PURPOSE

Glioblastoma multiforme (GBM) is one of the most common malignant brain tumors in adults and has high mortality and relapse rates. Over the past few years, great advances have been made in the diagnosis and treatment of GBM, but unfortunately, the five-year overall survival rate of GBM patients is approximately 5.1%. Inhibitor of nuclear factor kappa-B kinase subunit epsilon (IKBKE) is a major oncogenic protein in tumors and can promote evil development of GBM. Snail1, a key inducer of the epithelial-mesenchymal transition (EMT) transcription factor, is subjected to ubiquitination and degradation, but the mechanism by which Snail1 is stabilized in tumors remains unclear. Our study aimed to investigate the mechanism of IKBKE regulating Snail1 in GBM.

METHODS

First, we analyzed the correlation between the expression of IKBKE and the tumor grade and prognosis through public databases and laboratory specimen libraries. Second, immunohistochemistry (IHC) and western blot were used to detect the correlation between IKBKE and Snail expression in glioma samples and cell lines. Western blot and immunofluorescence (IF) experiments were used to detect the quality and distribution of IKBKE and Snail1 proteins. Third, In situ animal model of intracranial glioma to detect the regulatory effect of IKBKE on intracranial tumors.

RESULTS

In this study, Our study reveals a new connection between IKBKE and Snail1, where IKBKE can directly bind to Snail1, translocate Snail1 into the nucleus from the cytoplasm. Downregulation of IKBKE results in Snail1 destabilization and impairs the tumor cell migration and invasion capabilities.

CONCLUSION

Our studies suggest that the IKBKE-Snail1 axis may serve as a potential therapeutic target for GBM treatment.