Evolution of m6A-related genes in insects and the function of METTL3 in silkworm embryonic development.

N6-methyladenosine (m6A) plays a key role in many biological processes. However, the function and evolutionary relationship of m6A-related genes in insects remain largely unknown. Here we analysed the phylogeny of m6A-related genes among 207 insect species and found that m6A-related genes are evolutionarily conserved in insects. Subcellular localization experiments of m6A-related proteins in BmN cells confirmed that BmYTHDF3 was localized in the cytoplasm, BmMETTL3, BmMETTL14, and BmYTHDC were localized in the nucleus, and FL2D was localized to both the nucleus and cytoplasm. We examined the expression patterns of m6A-related genes during the embryonic development of Bombyx mori. To elucidate the function of BmMETTL3 during the embryonic stage, RNA sequencing was performed to measure changes in gene expression in silkworm eggs after BmMETTL3 knockdown, as well as in BmN cells overexpressing BmMETTL3. The global transcriptional pattern showed that knockdown of BmMETTL3 affected multiple cellular processes, including oxidoreductase activity, transcription regulator activity, and the cation binding. In addition, transcriptomic data revealed that many observed DEGs were associated with fundamental metabolic processes, including carbon metabolism, purine metabolism, amino acid biosynthesis, and the citrate cycle. Interestingly, we found that knockdown of BmMETTL3 significantly affected Wnt and Toll/Imd pathways in embryos. Taken together, these results suggest that BmMETTL3 plays an essential role in the embryonic development of B. mori, and deepen our understanding of the function of m6A-related genes in insects.

Synthesis of Functionalized Thiazolidin-2-imine and Oxazolidin-2-one Derivatives from p-Quinamines via [3 + 2] Annulation of Isothiocyanates and CO2.

An efficient and environmentally friendly synthetic approach to prepare thiazolidine-2-imine and oxazolidine-2-one derivatives has been developed. Thiazolidine-2-imines are synthesized in good to excellent yields by [3 + 2] annulation of p-quinamines with isothiocyanates under catalyst- and solvent-free conditions. Oxazolidine-2-ones are produced in good to excellent yields via [3 + 2] annulation of p-quinamines with CO2 using triethylenediamine (DABCO) as an organocatalyst. Furthermore, this strategy can be performed on a gram scale and tolerate a wide range of functional groups.

A Mission-Oriented Flight Path and Charging Mechanism for Internet of Drones.

In addition to traditional battery exchange services and stationary charging stations, researchers have proposed wireless charging technology, such as decentralized laser charging or drone-to-drone charging in flight, to provide power to drones with insufficient battery electricity. However, the charging methods presented in the literature will inevitably cause drones to wait in line for charging during peak hours and disrupt their scheduled trips when the number of drones grows rapidly in the future. To the best of our knowledge, there have been no integrated solutions for drone flight path and charging planning to alleviate charging congestion, taking into account the different mission characteristics of drones and the charging cost considerations of drone operators. Accordingly, this paper provides adaptive charging options to help drone operators to solve the above-mentioned problems. Drones on ordinary missions can use conventional battery swap services, wired charging stations, or electromagnetic wireless charging stations to recharge their batteries as usual, whereas drones on time-critical missions can choose drone-to-drone wireless charging or decentralized laser charging deployed along the fight paths to charge the batteries of drones in flight. Notably, since fixed-wing drones have larger wing areas to install solar panels, they can also use solar energy to charge during flight if the weather is clear. The simulation results exhibited that the proposed work reduced the power load of the power grid during peak hours, met the charging needs of each individual drone during flight, and cut down the charging costs of drone operators. As a result, an all-win situation for drone operators, drone customers, and power grid operators was achieved.

An Adaptive Bandwidth Management Algorithm for Next-Generation Vehicular Networks.

The popularity of video services such as video call or video on-demand has made it impossible for people to live without them in their daily lives. It can be anticipated that the explosive growth of vehicular communication owing to the widespread use of in-vehicle video infotainment applications in the future will result in increasing fragmentation and congestion of the wireless transmission spectrum. Accordingly, effective bandwidth management algorithms are demanded to achieve efficient communication and stable scalability in next-generation vehicular networks. To the best of our current knowledge, a noticeable gap remains in the existing literature regarding the application of the latest advancements in network communication technologies. Specifically, this gap is evident in the lack of exploration regarding how cutting-edge technologies can be effectively employed to optimize bandwidth allocation, especially in the realm of video service applications within the forthcoming vehicular networks. In light of this void, this paper presents a seamless integration of cutting-edge 6G communication technologies, such as terahertz (THz) and visible light communication (VLC), with the existing 5G millimeter-wave and sub-6 GHz base stations. This integration facilitates the creation of a network environment characterized by high transmission rates and extensive coverage. Our primary aim is to ensure the uninterrupted playback of real-time video applications for vehicle users. These video applications encompass video conferencing, live video, and on-demand video services. The outcomes of our simulations convincingly indicate that the proposed strategy adeptly addresses the challenge of bandwidth competition among vehicle users. Moreover, it notably boosts the efficient utilization of bandwidth from less crowded base stations, optimizes the fulfillment of bandwidth prerequisites for various video applications, and elevates the overall video quality experienced by users. Consequently, our findings serve as a successful validation of the practicality and effectiveness of the proposed methodology.

LncRNA HCP5 as a potential therapeutic target and prognostic biomarker for various cancers: a meta­analysis and bioinformatics analysis.

BACKGROUND: Accumulating studies indicated that dysregulated long non-coding RNA human histocompatibility leukocyte antigen (HLA) Complex P5 (HCP5) may functions as an potential prognostic predictor in multiple cancers. This meta-analysis was performed to systematically collect studies and conduct an evidence-based evaluation of the prognostic role of HCP5 in malignancies. METHODS: Four databases (PubMed, Web of Science, Embase and Cochrane library) were comprehensively retrieved from their initiation date to November 9, 2021. Hazard ratio (HR) or odds ratio (OR) with 95% confidence interval (CI) were used to assess the associations between the expression level of HCP5 and prognosis or clinical characteristics. Moreover, results were validated by Gene Expression Profiling Interactive Analysis 2 (GEPIA2) and the National Genomics Data Center (NGDC). Subsequently, the molecular mechanism of HCP5 was predicted based on MEM and StarBase databases. The study protocol was registered at PROSPERO (ID: CRD42021274208). RESULTS: 9 studies, containing 641 patients, were included in this meta-analysis. Our results revealed that HCP5 overexpression was associated with poor overall survival (OS), tumor type, histological differentiation, and lymph node metastasis in most cancers, but was not associated with age, gender and tumor size; down-regulation of HCP5 was associated with worse OS, advanced tumor stage, positive distal metastasis and lymph node metastasis in skin cutaneous melanoma (SKCM). HCP5 was significantly up-regulated in four cancers and down-regulated in SKCM, which was validated by the GEPIA2 cohort. HCP5 expression in various types of cancer was also verified in NGDC. Further functional prediction revealed that HCP5 may participate in some cancer-related pathways. CONCLUSION: There is a significantly association between dysregulation of HCP5 and both prognosis and clinicopathological features in various cancers. HCP5 may be functions as a novel potential prognostic biomarker and therapeutic target in multiple human cancers.

Application of Bidirectional Long Short-Term Memory to Adaptive Streaming for Internet of Autonomous Vehicles.

It is expected that interconnected networks of autonomous vehicles, especially during peak traffic, will face congestion challenges. Moreover, the existing literature lacks discussions on integrating next-generation wireless communication technologies into connected vehicular networks. Hence, this paper introduces a tailored bandwidth management algorithm for streaming applications of autonomous vehicle passengers. It leverages cutting-edge 6G wireless technology to create a network with high-speed transmission and broad coverage, ensuring smooth streaming application performance. The key features of bandwidth allocation for diverse streaming applications in this work include bandwidth relay and pre-loading of video clips assisted by vehicle-to-vehicle communication. Through simulations, this research effectively showcases the algorithm's ability to fulfill the bandwidth needs of diverse streaming applications for autonomous vehicle passengers. Specifically, during periods of peak user bandwidth demand, it notably increases the bandwidth accessible for streaming applications. On average, users experience a substantial 55% improvement in the bandwidth they can access. This validation affirms the viability and promise of the proposed approach in efficiently managing the intricate complexities of bandwidth allocation issues for streaming services within the connected autonomous vehicular networks.

Qi-Tai-Suan, an oleanolic acid derivative, ameliorates ischemic heart failure via suppression of cardiac apoptosis, inflammation and fibrosis.

Although anti-thrombotic therapy has been successful for prevention of deaths from acute myocardial infarction (MI), by far, there are few preventive and therapeutic options for ischemic heart failure (IHF) after MI. Qi-Tai-Suan (QTS) is an oleanolic acid (OA) derivative which once underwent a clinical trial for treating hepatitis. In this study, we investigated the potential cardioprotective effect of QTS on IHF. IHF mouse model was constructed by coronary artery ligation in male C57BL/6J mice, and the protective effects of QTS on IHF were examined by echocardiography measurement, histological and TUNEL analysis, etc. We found that QTS exhibited promising cardioprotective effect on IHF. QTS treatment significantly improved cardiac function of IHF mice and the symptoms of heart failure. Notably, QTS had much better oral bioavailability (F = 41.91%) in mice than its parent drug OA, and took effects mainly as its original form. Mechanistically, QTS ameliorated ischemic heart failure likely through suppression of cardiac apoptosis, inflammation and fibrosis. Taken together, QTS holds great promise as a preventive and therapeutic agent for ischemic heart failure and related diseases.

A Deep Learning-Enabled Electrocardiogram Model for the Identification of a Rare Inherited Arrhythmia: Brugada Syndrome.

BACKGROUND: Brugada syndrome is a major cause of sudden cardiac death in young people and has distinctive electrocardiographic (ECG) features. We aimed to develop a deep learning-enabled ECG model for automatic screening for Brugada syndrome to identify these patients at an early point in time, thus allowing for life-saving therapy. METHODS: A total of 276 ECGs with a type 1 Brugada ECG pattern (276 type 1 Brugada ECGs and another randomly retrieved 276 non-Brugada type ECGs for 1:1 allocation) were extracted from the hospital-based ECG database for a 2-stage analysis with a deep learning model. After trained network for identifying right bundle branch block pattern, we transferred the first-stage learning to the second task to diagnose the type 1 Brugada ECG pattern. The diagnostic performance of the deep learning model was compared with that of board-certified practicing cardiologists. The model was further validated in an independent ECG data set collected from hospitals in Taiwan and Japan. RESULTS: The diagnoses by the deep learning model (area under the receiver operating characteristic curve [AUC] 0.96, sensitivity 88.4%, specificity 89.1%) were highly consistent with the standard diagnoses (kappa coefficient 0.78). However, the diagnoses by the cardiologists were significantly different from the standard diagnoses, with only moderate consistency (kappa coefficient 0.63). In the independent ECG cohort, the deep learning model still reached a satisfactory diagnostic performance (AUC 0.89, sensitivity 86.0%, specificity 90.0%). CONCLUSIONS: We present the first deep learning-enabled ECG model for diagnosing Brugada syndrome, which appears to be a robust screening tool with a diagnostic potential rivalling trained physicians.

Chiral Phosphoric Acid Catalyzed Asymmetric Desymmetrization of para-Quinamines with Isocyanates: Access to Functionalized Imidazolidin-2-one Derivatives.

The development of enantioselective desymmetrization of para-quinamines with isocyanates catalyzed by chiral phosphoric acid is reported. The strategy provides concise access to functionalized imidazolidin-2-one derivatives in high yields and enantioselectivities under mild reaction conditions. Remarkably, this reaction could be performed on a gram scale using 5 mol % catalyst loading and the chiral imidazolidin-2-one derivatives could be easily transformed into valuable scaffolds without disturbing the enantiopurity, demonstrating the synthetic utility of this protocol.

Temozolomide plus whole brain radiotherapy for the treatment of non-small-cell lung cancer patients with brain metastases: A protocol of an updated systematic review and meta-analysis.

INTRODUCTION: Whole brain radiotherapy (WBRT) has been the mainstay treatment of brain metastases (BM) in non-small cell lung cancer (NSCLC) patients for years. Temozolomide (TMZ) could penetrate the blood-brain barrier and some studies showed that TMZ plus MBRT may improve clinical effectiveness. This meta-analysis is aim to evaluate the clinical effectiveness and safety of TMZ plus MBRT in the NSCLC patients with BM. METHODS AND ANALYSIS: We systematically searched databases including PubMed, EMBASE, Cochrane Central Register of Controlled Trials, and four Chinese databases (Chinese Biomedical Database, China National Knowledge Infrastructure, Wanfang Database and Chinese Scientific Journal Database) without language restrictions from inception until July 26, 2019. Randomized controlled trials (RCTs) which compared TMZ plus WBRT with single WBRT in the advanced NSCLC patients with BM were included. The outcomes analysis reported objective response rate (ORR), disease control rate (DCR), overall survival (OS), progression-free survival (PFS), quality of life (QOL), and adverse effects. Two reviewers will independently extract data from the selected studies and assess the quality of studies. Statistical analyses will be performed using Review manager 5.3 software. Random-effects or fixed models were used to estimate pooled hazard ratio and relative risk. RESULTS: This systemic review and meta-analysis will evaluate the effects of TMZ plus MBRT in the NSCLC patients with BM in RCTs. CONCLUSION: Our study will provide evidence to judge if TMZ plus MBRT are effective treatment for NSCLC patients with BM.

Clinical observation on the combined treatment of 57 cases of non-small cell lung cancer using argon-helium cryosurgery and Chinese herbal medicine.

OBJECTIVE: To observe the clinical effect of the combined therapy using argon-helium cryosurgery (Ar-He knife) and Chinese herbal medicine in treating non-small cell lung cancer (NSCLC). METHODS: Fifty-seven patients of NSCLC were treated with the combined therapy and observed. RESULTS: The treatment was successfully completed in all patients with mild adverse reactions. The effective rate was 83.8% 3 months after the operation, 79.6% 6 months after the operation, and 77.3% 12 months after the operation, with median survival of 9 months. The survival rate after 12 months was 46.67% (21/45), 34.62% (9/26) after 18 months, and 36.36% (4/11) after 24 months. CONCLUSION: Argon-helium cryosurgery therapy is superior in its assured orientation, quick tumor load deprivation and less postoperational reaction. Combined with Chinese herbal medication, Argon-helium cryosurgery therapy can prolong survival time, relieve clinical symptoms, and elevate the quality of life in NSCLC patients, and is thus worthy of promotion.

[Risk factors of traditional Chinese medical syndromes in moderate and advanced lung cancer patients with concurrent fungal pneumonia].

OBJECTIVE: To analyze the relationship between traditional Chinese medical syndromes and fungal pneumonia for moderate and advanced lung cancer patients. METHODS: We retrospected 115 moderate and advanced lung cancer patients with different syndromes in traditional Chinese medicine (qi deficiency, yin deficiency, blood deficiency, yang deficiency, blood stasis, phlegm dampness, phlegm heat, damp heat, cold dampness, qi stagnation, heat toxin), who had the concurrent fungal pneumonia, and used regression analysis method to analyze the data. RESULTS: When the patients had the phlegm heat syndrome, they got a significantly higher risk of having fungal pneumonia (P < 0.01); and when they had the heat toxin syndrome, they also had a high risk of having fungal pneumonia (P < 0.05). CONCLUSION: The phlegm heat and heat toxin syndromes are the risk factors for moderate and advanced lung cancer patients having concurrent fungal pneumonia.