Neuroprotective potential of sevoflurane against isoflurane induced cognitive dysfunction in rats via anti-inflammatory and antioxidant effect.

PURPOSE: Intravenous anesthetics have excellent analgesic activity without inducing the side effect in the respiratory system. The aim and objective of the current experimental study was to access the neuroprotective effect of sevoflurane against isoflurane induced cognitive dysfunction in rats. METHODS: Isoflurane was used for induction the neurodysfunction in the rats, and rats received the oral administration of sevoflurane (2.5, 5 and 10 mg/kg). Morris water test was carried out for the estimation of cognitive function. Neurochemical parameters, antioxidant parameters and pro-inflammatory cytokines were also estimated. RESULTS: Sevoflurane significantly (P < 0.001) altered the neurochemical parameters such as anti-choline acetyltransferase, acetylcholine esterase, acetylcholine, protein carbonyl, choline brain-derived neurotrophic factor, and amyloid ß; antioxidant parameters such as glutathione, superoxide dismutase, and malondialdehyde; pro-inflammatory cytokines include interleukin (IL-2, IL-10, IL-4, IL-6, IL-10, IL-1ß), and tumor necrosis factor-α. Sevoflurane significantly reduced the activity of caspase-3. CONCLUSIONS: Sevoflurane exhibited the neuroprotection against the cognitive dysfunction in rats via anti-inflammatory and antioxidant mechanism.

Characteristic of persistent human papillomavirus infection in women worldwide: a meta-analysis.

Objectives: We aimed to estimate the genotype distribution of persistent human papillomavirus (HPV) infection in females worldwide, and provided a scientific basis for the prevention strategies of cervical cancer (CC) and the development of HPV vaccines. Methods: Both English and Chinese databases were researched from the inception to July 2023. The pooled persistent HPV infection prevalence was calculated using a random effects model. The subgroup analysis was performed to explore the heterogeneity. Publication bias was evaluated using funnel plot, Egger's and Begg's test. Results: Twenty-eight studies with 27,335 participants were included. The pooled prevalence of persistent HPV infection was 29.37% (95% CI [24.05%∼35.31%]), and the genotypes with the persistent infection prevalence were HPV16 (35.01%), HPV52 (28.19%), HPV58 (27.06%), HPV18 (25.99%), HPV33 (24.37%), HPV31 (23.35%), HPV59 (21.87%), HPV39 (19.54%), HPV68 (16.61%) and HPV45 (15.05%). The prevalence of multiple and single HPV persistent infection were 48.66% and 36.71%, respectively; the prevalence of persistent HPV infection in different age groups (<30, 30∼39, 40∼49, >50) were 29.83%, 28.39%, 22.24% and 30.22%, respectively. The follow-up time was significantly associated with heterogeneity by subgroup analysis (P < 0.05), and the prevalence of persistent infection decreased with longer follow-up time. Conclusions: Multiple infections were more likely to occur persistent HPV infection than single infection. In addition to HPV vaccination, we should emphasize the follow-up management for women under 30 and over 50 years old, those with high-risk HPV infection (HPV59, 39, 68) and multiple infections.

Cross-modal hashing with missing labels.

Hashing-based cross-modal retrieval methods have become increasingly popular due to their advantages in storage and speed. While current methods have demonstrated impressive results, there are still several issues that have not been addressed. Specifically, many of these approaches assume that labels are perfectly assigned, despite the fact that in real-world scenarios, labels are often incomplete or partially missing. There are two reasons for this, as manual labeling can be a complex and time-consuming task, and annotators may only be interested in certain objects. As such, cross-modal retrieval with missing labels is a significant challenge that requires further attention. Moreover, the similarity between labels is frequently ignored, which is important for exploring the high-level semantics of labels. To address these limitations, we propose a novel method called Cross-Modal Hashing with Missing Labels (CMHML). Our method consists of several key components. First, we introduce Reliable Label Learning to preserve reliable information from the observed labels. Next, to infer the uncertain part of the predicted labels, we decompose the predicted labels into latent representations of labels and samples. The representation of samples is extracted from different modalities, which assists in inferring missing labels. We also propose Label Correlation Preservation to enhance the similarity between latent representations of labels. Hash codes are then learned from the representation of samples through Global Approximation Learning. We also construct a similarity matrix according to predicted labels and embed it into hash codes learning to explore the value of labels. Finally, we train linear classifiers to map original samples to a low-dimensional Hamming space. To evaluate the efficacy of CMHML, we conduct extensive experiments on four publicly available datasets. Our method is compared to other state-of-the-art methods, and the results demonstrate that our model performs competitively even when most labels are missing.

Neuroprotective potential of sevoflurane against isoflurane induced cognitive dysfunction in rats via anti-inflammatory and antioxidant effect

Purpose: Intravenous anesthetics have excellent analgesic activity without inducing the side effect in the respiratory system. The aim and objective of the current experimental study was to access the neuroprotective effect of sevoflurane against isoflurane induced cognitive dysfunction in rats. Methods: Isoflurane was used for induction the neurodysfunction in the rats, and rats received the oral administration of sevoflurane (2.5, 5 and 10 mg/kg). Morris water test was carried out for the estimation of cognitive function. Neurochemical parameters, antioxidant parameters and pro-inflammatory cytokines were also estimated. Results: Sevoflurane significantly (P < 0.001) altered the neurochemical parameters such as anti-choline acetyltransferase, acetylcholine esterase, acetylcholine, protein carbonyl, choline brain-derived neurotrophic factor, and amyloid ß; antioxidant parameters such as glutathione, superoxide dismutase, and malondialdehyde; pro-inflammatory cytokines include interleukin (IL-2, IL-10, IL-4, IL-6, IL-10, IL-1ß), and tumor necrosis factor-α. Sevoflurane significantly reduced the activity of caspase-3. Conclusions: Sevoflurane exhibited the neuroprotection against the cognitive dysfunction in rats via anti-inflammatory and antioxidant mechanism.

Midazolam Ameliorates Impairment of the Blood-Brain Barrier (BBB) Against LPS.

Central nervous system (CNS) dysfunction induced by sepsis and pathogenic microbial infections is reported to be closely associated with increased permeability of the blood-brain barrier (BBB), which is mainly mediated by the stimulation of lipopolysaccharide (LPS) on inflammatory signaling. Midazolam is a novel sedative acting on the benzodiazepine receptor, which is recently reported to exert a neuroprotective effect by inhibiting inflammation. The present study will explore the potential repair capacity of Midazolam on LPS-induced damage to the BBB. The in vivo mice model was established by intraperitoneal injection of LPS, while the in vitro model was constructed by stimulating endothelial cells utilizing LPS. We found that the increased malondialdehyde (MDA) level and reduced superoxide dismutase (SOD) activity in the brain cortices, promoted serum concentration of inflammatory factors, and elevated BBB permeability were found in the LPS group, all of which were dramatically reversed by 1 mg/kg and 2 mg/kg Midazolam. Interestingly, Midazolam increased the expression of the tight junction protein zonula occludens-1 (ZO-1). In LPS-challenged in vitro human brain microvascular endothelial cells (HBMECs), the increased concentration of inflammatory factors, reduced trans-endothelial electrical resistance (TEER) level, elevated relative value of trans-endothelial permeability, and downregulated ZO-1 were observed, all of which were pronouncedly alleviated by Midazolam, accompanied by the inhibition on the Ras homolog family member A/ Rho-kinase 2 (RhoA/ROCK-2) pathway. Furthermore, the regulatory effects of Midazolam on ZO-1 expression and the endothelial monolayer permeability in LPS-challenged HBMECs were abolished by the overexpression of RhoA. Collectively, our data imply that Midazolam ameliorated the impairment of the BBB against LPS by regulating the RhoA/ROCK2 pathway.

Impedance spectroscopy for identifying tau protein to monitor anesthesia-based issues.

Anesthesia-related drugs cause various side effects and health-related illnesses after surgery. In particular, neurogenerative disorder is a common problem of anesthesia-related drugs. A patient gets anesthesia as a requirement of the preoperative evaluation to diagnose the medical illness, which is caused by anesthetic drug treatment. Different blood-based biomarkers help in identifying the changes appearing in patients after anesthesia treatment. Among them, tau protein is a sensitive biomarker of neurodegenerative diseases, and the fluctuations in tau proteins are highly associated with various diseases. Furthermore, researchers have found unstable levels of tau protein after the anesthesia process. The current research has focused on quantifying tau protein via impedance spectroscopy to identify the problems caused by anesthesia-related drugs. An impedance spectroscopy electrode was modified into a multiwalled carbon nanotube, and an amine-ended aptamer was then attached. This electrode surface was used to quantify the tau protein level and reached the detection limit of 1 fM. The determination coefficient was found to be y = 369.93x + 1144.9, with R2 = 0.9846 in the linear range of 1 fM-1 nM. Furthermore, tau protein spiked human serum was clearly identified on the immobilized aptamer surface, indicating the specific detection.

Association of Val158Met polymorphism in COMT gene with attention-deficit hyperactive disorder: An updated meta-analysis.

BACKGROUND: The results of published articles on the relationship between the Val158Met polymorphism in the (Catechol-O-methyltransferase) COMT gene and the susceptibility of attention-deficit hyperactive disorder (ADHD) are controversial. We conducted an updated meta-analysis of case-control studies to assess the relationship between Val158Met polymorphism in COMT gene and ADHD susceptibility. METHODS: A comprehensive literature search was conducted to identify all the case-control studies on the relationship between the COMT gene Val158Met polymorphism and ADHD susceptibility. According to the heterogeneity test results among studies evaluated with I, the fixed effect model or random effect model was selected as the pooling method. Meta-regression as well as sensitive analysis were used to explore possible causes of between-study heterogeneity. The funnel plot and Harbord test were used to estimate publication bias. RESULTS: Finally, seventeen studies that met the inclusion criteria were included. The Val158Met genotype distributions of COMT gene in controls were in Hardy-Weinberg equilibrium in all studies. In general, there was no significant association between the COMT gene Val158Met polymorphism and ADHD susceptibility in dominant, recessive, and codominant models. The recessive genetic model (I = 60.8%) showed strong heterogeneity among studies, and still no significant association was found after sensitivity analysis. Subgroup analysis stratified by ethnicity (Asian and Caucasian) also showed that there was no significant association in the above-mentioned three models. CONCLUSIONS: This updated meta-analysis indicated that the Val158Met polymorphism in the COMT gene may not be related to the risk of ADHD. Further researches are needed to confirm these results.

Zinc oxide nanoparticles synthesised from the Vernonia amygdalina shows the anti-inflammatory and antinociceptive activities in the mice model.

In this study, we synthesised the zinc oxide nanoparticles from Vernonia amygdalina and evaluated its anti-inflammatory and antinociceptive potentials against the different inflammation and pain induced mice model. The synthesised zinc oxide nanoparticles were characterised by UV, SEM, XRD and FTIR techniques. The anti-nociceptive effects of V. amygdalina were examined by different stimuli e.g. acetic acid, glutamate, capsaicin, and formalin-induced nociception in mice. The anti-inflammatory effects of synthesised zinc oxide nanoparticles were assessed by air sack assessment and the level of inflammatory cytokines were studied. The muscle tension of animals were studied through open field assessment. The present study exhibited proficient antinociceptive and anti-inflammatory actions of the synthesised Zinc oxide nanoparticles from V. amygdalina. The sormulated zinc oxide nanoparticles were appreciably reduced the acetic acid, glutamate, capsaicin, and formalin-induced nociceptive responses in mice. Further the zinc nanoparticles were exhibited the potent anti-inflammatory actions via reducing the inflammatory response and pro-inflammatory cytokines level in the mice. In conclusion, the findings of this study proved the beneficial effects of zinc oxide nanoparticles from V. amygdalina against the different pain and inflammation-induced mice. Hence, it was clear that the zinc nanoparticles from V. amygdalina could be promising antinociceptive and anti-inflammatory agent in the future.

Two-Dimensional Alloying Molybdenum Tin Disulfide Monolayers with Fast Photoresponse.

Elemental alloying in monolayer, two-dimensional (2D) transition metal dichalcogenides (TMDs) promises unprecedented ability to modulate their electronic structure leading to unique optoelectronic properties. MoS2 monolayer based photodetectors typically exhibit a high photoresponsivity but suffer from a low response time. Here we develop a new approach for Sn alloying in MoS2 monolayers based on the synergy of the customized chemical vapor deposition (CVD) and the effects of common salt (NaCl) to produce high-quality and large-size Mo1-xSnxS2 (x < 0.5) alloy monolayers. The composition difference results in different growth behaviors; Mo dominated alloys (x < 0.5) exhibit uniform and large size (up to 100 µm) triangular monolayers, while Sn-dominated alloys (x > 0.5) present multilayer grains. The Mo1-xSnxS2 (x < 0.5) based photodetectors and phototransistors exhibit a maximum responsitivity of 12 mA/W and a minimum response time of 20 ms, which is faster than most reported MoS2-based photodetectors. This work offers new perspectives for precision 2D alloy engineering to improve the optoelectronic performance of TMD-based photodetectors.

Document-level attention-based BiLSTM-CRF incorporating disease dictionary for disease named entity recognition.

BACKGROUND: Disease named entity recognition (NER) plays an important role in biomedical research. There are a significant number of challenging issues to be addressed; among these, the identification of rare diseases and complex disease names and the problem of tagging inconsistency (i.e., if an entity is tagged differently in a document) are attracting substantial research attention. METHODS: We propose a new neural network method named Dic-Att-BiLSTM-CRF (DABLC) for disease NER. DABLC applies an efficient exact string matching method to match disease entities with a disease dictionary; here, the dictionary is constructed based on the Disease Ontology. Furthermore, DABLC constructs a dictionary attention layer by incorporating a disease dictionary matching method and document-level attention mechanism. Finally, a bidirectional long short-term memory network and conditional random field (BiLSTM-CRF) with a dictionary attention layer is proposed to combine the disease dictionary to develop disease NER. RESULTS: Extensive experiments are conducted on two widely-used corpora: the NCBI disease corpus and the BioCreative V CDR corpus. We apply each test on 10 executions of each model, with a 95% confidence interval. DABLC achieves the highest F1 scores (NCBI: Precision = 0.883, Recall = 0.89, F1 = 0.886; BioCreative V CDR: Precision = 0.891, Recall = 0.875, F1 = 0.883), outperforming the state-of-the-art methods. CONCLUSION: DABLC combines the advantages of both external dictionary resources and deep attention neural networks. This aids the identification of rare diseases and complex disease names; moreover, it reduces the impact of tagging inconsistency. Special disease NER and deep learning models addressing long sentences are noteworthy areas for future examination.

[Analysis of hemophilia case information of Shandong province].

OBJECTIVE: To summarize the general condition, regional distribution, prevalence and clinical characteristics of Shandong province based on hemophilia case registry information. METHODS: A retrospective study was carried out on 1979 hemophilia patients registered at Shandong Hemophilia Registration Center. RESULTS: The 1979 cases have included 1704 hemophilia A and 275 hemophilia B patients. Hemophilia A was characterized as severe in 1021 patients (59.9%), moderate in 483 patients (28.4%), and mild in 200 patients (11.7%); while hemophilia B was characterized as severe in 125 patients (45.4%), moderate in 116 patients (42.2%), and mild in 34 patients (12.4%). The median age was 23 years (ranging from 1 month to 81 years), and most were young patients. Joint deformity occurred in 963 patients, and 948 patients had a family history of hemophilia. All counties of Shandong province had patients except for Changdao county and Fushan district of Yantai city. The prevalence of Heze city and Dongying city (3.39/100 000 and 3.05/100 000, respectively) were relatively higher. CONCLUSION: The above data revealed epidemiological and clinical characteristics of Shandong Province. Patient-centered registry system allowed a more detailed and accurate patient information, and promoted the comprehensive care of hemophilia, which also suggested the necessity for the establishment and improvement of the National Hemophilia Registry System.

Association of serum ferritin with coronary artery disease.

BACKGROUND: Published results regarding the association of serum ferritin with coronary artery disease (CAD) were conflicting, thus a case-control study and a meta-analysis were performed to assess the association between serum ferritin and CAD risk. METHODS: A hospital-based case-control study was conducted with 258 CAD cases and 282 healthy controls. The restricted cubic spline (RCS) function with three knots was used to assess the concentration-risk association between serum ferritin and CAD risk. A meta-analysis was performed including 20 outcomes. Fixed or random effect pooled measure was selected on the basis of homogeneity test among studies. RESULTS: In our case-control study, compared with serum ferritin concentrations less than 200 µg/L as the reference, the trend of CAD risk increased by 4.2% for every 50 µg/L increase in serum ferritin (OR=1.042, 95% CI=0.946-1.147). In the meta-analysis and after excluding articles that were the key contributors to between-study heterogeneity, the standardized mean difference (SMD) of serum ferritin was associated with increased CAD risk (FEM: SMD=0.119, 95% CI=0.073-0.165). And the concentration-risk meta-analysis suggested that, for every 50 µg/L increase of serum ferritin, the risk of CAD increases by 2.4% (OR=1.024, 95% CI=1.001-1.048). CONCLUSION: These findings indicate that serum ferritin is weakly positively associated with CAD risk. This risk needs to be confirmed by further studies.

Association of total iron binding capacity with coronary artery disease.

OBJECTIVE: A case-control study and a meta-analysis were conducted to assess the association between total iron binding capacity (TIBC) and coronary artery disease (CAD) risk. METHODS: A hospital-based case-control study was conducted with 258 CAD cases and 282 healthy controls. Logistic regression was utilized to estimate odds ratio (OR) with 95% confidence interval (CI) and adjust potential confounders. Dose-response relation was investigated between TIBC and CAD risk by dividing TIBC concentration into quartiles. A meta-analysis was performed on the standardized mean difference (SMD) as well as OR. RESULTS: In our case-control study, TIBC was found associated with decreased CAD risk both in univariate (OR=0.981, 95% CI=0.975, 0.986) and multivariate (OR=0.979, 95% CI=0.972, 0.986) adjusted logistic regressions. The multivariate-adjusted OR for the highest quartile compared with the lowest quartile was 0.087 (95% CI=0.042, 0.181). After sensitivity analysis, the meta-analysis on SMD showed that TIBC was associated with decreased CAD risk (SMD=-0.211, 95% CI=-0.318, -0.104). The results of pooled measure on OR (OR=0.970, 95% CI=0.946, 0.995) were consistent with those of SMD analysis. CONCLUSION: A weak association was found between TIBC levels and decreased CAD risk, further investigations are necessary to clarify the dose-response relationship.

Association of RAGE gene polymorphisms with type 2 diabetes mellitus, diabetic retinopathy and diabetic nephropathy.

A meta-analysis was performed to assess the associations of the receptor for advanced glycation end products (RAGE) gene polymorphisms [Gly82Ser (rs2070600), 1704G/T (rs184003), 429T/C (rs1800625)] with type 2 diabetes mellitus (T2DM), diabetic retinopathy (DR) and diabetic nephropathy (DN). A comprehensive research was conducted to identify all case-control or cohort studies. The fixed or random effect pooled measure was selected based on the homogeneity test among studies that was evaluated with I(2). Meta-regression was used to explore the potential sources of between-study heterogeneity. Publication bias was estimated using Peters test. Twenty-nine articles were included. Overall, after excluding articles deviating from Hardy-Weinberg equilibrium in controls and sensitive analysis, no significant association was found between RAGE gene polymorphisms (Gly82Ser, 1704G/T, 429T/C) and any of T2DM, DR and DN risk, respectively. Subgroup analysis stratified by ethnicity (Asian and Caucasian) also found no significant association between the above-mentioned three polymorphisms and T2DM risk, respectively. This meta-analysis suggested that there might be no association of RAGE gene polymorphisms (Gly82Ser, 1704G/T, 429T/C) with T2DM, DR and DN risk.