Extracellular vesicles derived from cervical cancer cells carrying MCM3AP-AS1 promote angiogenesis and tumor growth in cervical cancer via the miR-93/p21 axis.

Tumor cells can promote angiogenesis by secreting extracellular vesicles (EVs). Meanwhile, tumor-derived EVs can carry long non-coding RNAs to activate pro-angiogenic signaling in endothelial cells. Here, we investigated the role of long non-coding RNA MCM3AP-AS1 carried by cervical cancer (CC) cell-derived EVs in the angiogenesis and the resultant tumor growth in CC, as well as the potential molecular mechanisms. LncRNAs significantly expressed in CC cell-derived EVs and CC were screened, followed by prediction of downstream target genes. EVs were isolated from HcerEpic and CaSki cell supernatants, followed by identification. The expression of MCM3AP-AS1 in CC was analyzed and its interaction with miR-93-p21 was confirmed. Following co-culture system, the role of MCM3AP-AS1 carried by EVs in HUVEC angiogenic ability, CC cell invasion and migration in vitro along with angiogenesis and tumorigenicity in vivo was assayed. MCM3AP-AS1 was overexpressed in CC cell-derived EVs as well as in CC tissues and cell lines. Cervical cancer cell-derived EVs could transfer MCM3AP-AS1 into HUVECs where MCM3AP-AS1 competitively bound to miR-93 and upregulate the expression of the miR-93 target p21 gene. Thus, MCM3AP-AS1 promoted angiogenesis of HUVECs. In the similar manner, MCM3AP-AS1 enhanced CC cell malignant properties. In nude mice, EVs-MCM3AP-AS1 induced angiogenesis and tumor growth. Overall, this study reveals that CC cell-derived EVs may transport MCM3AP-AS1 to promote angiogenesis and tumor growth in CC.

Evaluation and Use of Organs from Donors Poisoned by Organophosphorus Pesticide.

BACKGROUND The aim of this study was to explore the evaluation and use of donor organs from donors with brain death caused by acute severe organophosphorus pesticides and provide a basis for the use of such donor organs. MATERIAL AND METHODS Seven cases of brain dead donors caused by acute organophosphorus pesticide poisoning from January 2014 to December 2018 in the hospital were collected, and a retrospective analysis was made of the donors' age, race, physiological and pathological changes, donor organ function changes and the organ use, liver or kidney function recovery, and complications of the recipients. The 18 recipients were followed up until June 31, 2022. RESULTS We found that 71.42% of organ donors were male, and 71.42% of organ donors were under 50 years old. The main cause of death was respiratory failure caused by organophosphorus pesticide poisoning. The liver and kidney functions of 7 donors were damaged, and 3 livers could not be used due to severe functional damage, but the liver or kidney function of 18 recipients gradually recovered after transplantation. Delayed recovery of graft function occurred after transplantation accounted for 21.43%, and the grafts had good short-term to medium-term performance. CONCLUSIONS Although the function of organs from donor with brain death due to acute severe organophosphorus pesticide poisoning is seriously damaged, most of the organs can still be used for transplantation. Individualized functional maintenance according to the situation of donors is conducive to improving the quality of organs.

DHA inhibits invasion and metastasis in NSCLC cells by interfering with CCL18/STAT3 signaling pathway.

Omega-3 has been proposed as an antitumor substance that suppresses the growth and metastasis of multiple types of tumor cells, including lung cancer, but the specific mechanisms involved remain obscure. Our previous studies showed that the expression of chemokine ligand 18 was related to the migration and metastasis of non-small cell lung cancer. Here, we aim to explore whether omega-3 inhibits invasion and metastasis of NSCLC by regulating the expression of CCL18. The expression of CCL18, metastasis- and epithelial-mesenchymal transition (EMT)-related genes at mRNA and protein levels in NSCLC cell lines were detected by RT-qPCR and Western blot, respectively. The metastatic and invasive capability of NSCLC cells were evaluated by scratch wound healing and Transwell assays, respectively. Our results showed that the level of CCL18 is positively associated with metastatic ability of NSCLC cells. Docosahexaenoic acid, an important long-chain, polyunsaturated omega-3 (n-3) fatty acid, significantly inhibited invasion and metastasis of NSCLC cells, and concomitantly downregulated the expression of metastasis- and EMT-related genes and p-STAT3 signaling pathway. Additionally, we found that DHA inhibited CCL18 expression in lung cancer cells, while overexpression of CCL18 effectively reversed DHA-mediated downregulation in the expression of metastasis- and EMT-related genes and p-STAT3 signaling as well as DHA-mediated inhibitory effect on metastasis and invasion of NSCLC cells. DHA inhibits NSCLC cell invasion and metastasis possibly through targeted inhibition of CCL18/ STAT3 signaling pathway and EMT process.

Value of delta radiomic based on contrast enhanced MRI to predict pathological complete response after neoadjuvant therapy for breast cancer / 中华放射学杂志

Objective:To investigate the value of delta radiomics based on longitudinal changes of dynamic contrast enhanced MRI (DCE-MRI) in predicting pathological complete response (pCR) after neoadjuvant therapy (NAT) for breast cancer.Methods:The clinicopathological and imaging data of 117 patients with breast cancer confirmed by surgical pathology from April 2019 to November 2021 at Jiangxi Cancer Hospital were analyzed retrospectively. All patients were female with 23?74 (48±10) years old. The patients were randomly divided into training (81 cases) and test sets (36 cases) at the ratio of 7∶3 according to the number of random seeds in the software. All patients underwent DCE-MRI before and after early NAT (2 courses). The maximum diameter relative regression value of breast tumors before and after early NAT (D%) was calculated and used to construct a conventional imaging model. The delta radiomic features were extracted based on pre-NAT and early-NAT (2 courses) DCE-MRI and selected by redundancy analysis and least absolute shrinkage and selection operator algorithm. A ten-fold cross-validation method was used to construct the delta radiomic model and Radscore was calculated for each patient. All patients were classified into pCR group and non-pCR group according to the surgical pathology after NAT. Significant clinicopathological variables were selected by univariate analysis and stepwise regression method. They were integrated with D% and Radscore to build the combined model and nomogram. The model performance in predicting pCR after NAT in breast cancer was evaluated by the receiver operating characteristic curve and the area under the curve (AUC), and the clinical utility of the models was compared by using clinical decision curves.Results:The combined model had the best diagnostic performance among the three models, with an AUC of 0.90 in the training set and 0.87 in the test set. The Radscore had the highest weight in the nomogram. In the training set, the diagnostic performance of the combined model and delta radiomics model were better than that of the conventional imaging model ( Z=?3.48, P=0.001; Z=2.54, P=0.011). The clinical decision curves showed an overall greater clinical benefit of the combined model compared with the conventional imaging model and delta radiomic model. Conclusions:The addition of significant clinicopathological variables and Radscore of delta radiomic model which represents the longitudinal changes in tumor heterogeneity to the conventional imaging model may improve the predictive ability of pCR. The delta radiomic may serve as a noninvasive biomarker for early prediction of NAT response.

Pathogenesis and treatment of disorders of gastrointestinal motility / 中国综合临床

Disorders of gastrointestinal motility (DGIM) are very common diseases in the department of gastroenterology and the prevalence is increasing gradually. The pathogenesis of DGIM is complex and closely related to Cajal interstitial cells of gastrointestinal tract, brain-intestinal axis and intestinal microecology. So far, a variety of diagnostic techniques have emerged, including esophageal 24 h pH monitoring and impedance analysis, electrogastrography, radionuclide scanning, ultrasound, 13C gastric emptying breath test, hydrogen breath test, defecation contrast, X-ray marker method, high resolution manometry and wireless motility capsules. According to the different pathogenesis of DGIM, treatment methods emerge in an endless stream, such as adjustment of lifestyle, drugs and surgical treatment and so on. Individual treatment should be provided clinically for different patients.

Application of uterine artery blood flow ultrasonic parameters in prognosis evaluation of threatened abortion during early pregnancy / 中国基层医药

Objective:To explore the application value of uterine artery blood flow ultrasound parameters in evaluating the prognosis of threatened abortion during early pregnancy.Methods:In this non-randomized controlled prospective clinical study, 108 women with threatened abortion during early pregnancy (6-12 weeks of pregnancy) who received treatment in the Health Community Group of Yuhuan Second People's Hospital from July 2021 to December 2022 were included in the observation group. An additional 108 healthy women who were at the early stage of pregnancy were selected for the control group. Color Doppler ultrasound was performed in both groups to measure the ultrasonic parameters of uterine artery blood flow (peak systolic/end diastolic flow velocity, resistance index, pulsatility index) and compare their differences. The pregnant women in the observation group were followed up until 28 weeks of gestation, and their prognosis was analyzed. The pregnant women who had successfully insured their babies were included in the good prognosis group, and the pregnant women who had aborted their babies were included in the poor prognosis group. The ultrasonic parameters of uterine artery blood flow in the two groups were compared. Logistic regression analysis was used to analyze the correlation between ultrasound parameters of uterine artery blood flow and poor prognosis.Results:In the observation group, the systolic peak/end diastolic flow velocity, resistance index, and pulsatility index on the left side were (6.46 ± 1.71), (0.97 ± 0.30), (2.72 ± 0.89), respectively, and they were (6.49 ± 1.70), (0.96 ± 0.32), (2.70 ± 0.91) respectively on the right side, which were significantly greater than (3.90 ± 1.02), (0.64 ± 0.17), (1.36 ± 0.54), (3.91 ± 1.04), (0.62 ± 0.18), (1.35 ± 0.52) in the control group ( t = 13.36, 9.95, 13.58, 13.45, 9.62, 13.39, all P < 0.001). Twenty-eight-week follow-up results showed that 72 women (66.67%) in the observation group had successfully insured their babies and 36 women (33.33%) had aborted their babies. In the good prognosis group, the systolic peak/end diastolic flow velocity, resistance index, and pulsatile index were (7.95 ± 1.89), (1.22 ± 0.36), (3.06 ± 0.95) on the left side, and they were (7.45 ± 1.94), (1.24 ± 0.37), and (3.03 ± 0.96) on the right side, which were significantly greater than (4.72 ± 1.27), (0.77 ± 0.24), (1.74 ± 0.69), (4.74 ± 1.32), (0.75 ± 0.25), (1.77 ± 0.70) in the poor prognosis group ( t = 10.53, 7.73, 8.23, 8.55, 8.14, 7.76, all P < 0.001). Logistic regression analysis showed that peak systolic/end diastolic flow velocity and resistance index were risk factors for poor prognosis of threatened abortion during early pregnancy, while the pulsatility index had no significant correlation with poor prognosis of threatened abortion during early pregnancy. Conclusion:Uterine artery blood flow ultrasound parameters have a certain predictive value for the prognosis evaluation of threatened abortion during early pregnancy, which can provide an important reference for clinical fetal protection treatment and benefit the prognosis of pregnant women.

Research advances on extracellular vesicles-based regulation by traditional Chinese medicines and the relationship with TCM "Qi" / 药学学报

Extracellular vesicles (EVs) are an important type of active microvesicles. EVs encapsulate and transfer functional substances such as miRNAs, transcription factors and proteins, which are important vectors for cell communication and organ dialogue. In recent years, studies have shown that quite a number of Chinese medicinal herbs have the pharmacological effect of regulating EVs, and play a unique trans-organ and remote role in the treatment of diseases. Some Chinese medicinal herbs also contain plant-derived EVs themselves, which can be directly involved in the treatment of diseases. As one of the core theories of raditional Chinese medicines (TCM), Qi plays a variety of important roles in the physiological and pathological processes of human body and pharmacology. However, the scientific connotation of Qi′s role and the potential material carrier are still unclear. The latest research suggests that the effect of EVs is potentially related to that of Qi. Therefore, this paper reviews the effect of Qi nourishing Chinese medicinal herbs in regulating EVs in the treatment of cardiovascular diseases, nervous system diseases, liver diseases, renal diseases, malignant tumors and other diseases in recent years. EVs may play an important role in the pharmacological effect of some Chinese medicinal herbs in the treatment of diseases as an intermediary substance. EVs have the characteristics of long-distance transportation, which is consistent with the movement of Qi in TCM. EVs carry a variety of functional molecules, which is consistent with the function of Qi. As the potential material basis of Qi in TCM, the function of EVs is worth further study.

Research progress on medical image dataset expansion methods / 生物医学工程学杂志

Computer-aided diagnosis (CAD) systems play a very important role in modern medical diagnosis and treatment systems, but their performance is limited by training samples. However, the training samples are affected by factors such as imaging cost, labeling cost and involving patient privacy, resulting in insufficient diversity of training images and difficulty in data obtaining. Therefore, how to efficiently and cost-effectively augment existing medical image datasets has become a research hotspot. In this paper, the research progress on medical image dataset expansion methods is reviewed based on relevant literatures at home and abroad. First, the expansion methods based on geometric transformation and generative adversarial networks are compared and analyzed, and then improvement of the augmentation methods based on generative adversarial networks are emphasized. Finally, some urgent problems in the field of medical image dataset expansion are discussed and the future development trend is prospected.

A survey of loss function of medical image segmentation algorithms / 生物医学工程学杂志

Medical image segmentation based on deep learning has become a powerful tool in the field of medical image processing. Due to the special nature of medical images, image segmentation algorithms based on deep learning face problems such as sample imbalance, edge blur, false positive, false negative, etc. In view of these problems, researchers mostly improve the network structure, but rarely improve from the unstructured aspect. The loss function is an important part of the segmentation method based on deep learning. The improvement of the loss function can improve the segmentation effect of the network from the root, and the loss function is independent of the network structure, which can be used in various network models and segmentation tasks in plug and play. Starting from the difficulties in medical image segmentation, this paper first introduces the loss function and improvement strategies to solve the problems of sample imbalance, edge blur, false positive and false negative. Then the difficulties encountered in the improvement of the current loss function are analyzed. Finally, the future research directions are prospected. This paper provides a reference for the reasonable selection, improvement or innovation of loss function, and guides the direction for the follow-up research of loss function.

METTL3/LINC00662/miR-186-5p feedback loop regulates docetaxel resistance in triple negative breast cancer.

Insight into the mechanism of docetaxel resistance in breast cancer may help to improve prognosis. We aimed to investigate the role of N6-methyladenosine (m6A) and the METTL3/LINC00662/miR-186-5p pathway in regulating docetaxel resistance in triple negative breast cancer (TNBC). We have recruited 193 pathologically diagnosed TNBC patients from 2016 to 2017 in our hospital. Quantitative real-time PCR was used to evaluate the expression of LINC00662 and miR-186-5p both in vivo and in vitro. CCK8 tests were used to assess cell viability. ELISA was used for protein expression evaluation. Dual luciferase reporter gene assay and RNA pull-down were used to evaluate the interaction between LINC00662 and miR-186-5p. m6A levels were enhanced in breast cancer tissues and cells. LINC00662, miR-186-5p and METTL3 were differentially expressed in vivo, and METTL3 expression was associated with LINC00662 and miR-186-5p expression. LINC00662 and miR-186-5p were differentially expressed in vitro; LINC00662 promoted cell viability and decreased the apoptosis rate, whereas miR-186-5p inhibited cell viability and increased the apoptosis rate. Furthermore, we found that METTL3 regulated m6A levels in docetaxel-resistant breast cancer cells by regulating the expression of LINC00662. Moreover, LINC00662 and miR-186-5p regulated the cell viability rate of docetaxel-resistant breast cancer cells. Further experiments showed that LINC00662 directly interacted with miR-186-5p to exert biological functions; besides miR-186-5p could regulate the expression of METTL3. METTL3 promotes m6A levels and docetaxel resistance in breast cancer by regulating the expression of LINC00662 and miR-186-5p; more experiments are needed to clarify the role of m6A regulation in drug resistance.

Management of granulomatous lobular mastitis: an international multidisciplinary consensus (2021 edition).

Granulomatous lobular mastitis (GLM) is a rare and chronic benign inflammatory disease of the breast. Difficulties exist in the management of GLM for many front-line surgeons and medical specialists who care for patients with inflammatory disorders of the breast. This consensus is summarized to establish evidence-based recommendations for the management of GLM. Literature was reviewed using PubMed from January 1, 1971 to July 31, 2020. Sixty-six international experienced multidisciplinary experts from 11 countries or regions were invited to review the evidence. Levels of evidence were determined using the American College of Physicians grading system, and recommendations were discussed until consensus. Experts discussed and concluded 30 recommendations on historical definitions, etiology and predisposing factors, diagnosis criteria, treatment, clinical stages, relapse and recurrence of GLM. GLM was recommended as a widely accepted definition. In addition, this consensus introduced a new clinical stages and management algorithm for GLM to provide individual treatment strategies. In conclusion, diagnosis of GLM depends on a combination of history, clinical manifestations, imaging examinations, laboratory examinations and pathology. The approach to treatment of GLM should be applied according to the different clinical stage of GLM. This evidence-based consensus would be valuable to assist front-line surgeons and medical specialists in the optimal management of GLM.

Efficacy and safety of sirolimus early conversion protocol in liver transplant patients with hepatocellular carcinoma: A single-arm, multicenter, prospective study.

Mammalian target of rapamycin (mTOR) inhibitor as an attractive drug target with promising antitumor effects has been widely investigated. High quality clinical trial has been conducted in liver transplant (LT) recipients in Western countries. However, the pertinent studies in Eastern world are paucity. Therefore, we designed a clinical trial to test whether sirolimus can improve recurrence-free survival (RFS) in hepatocellular carcinoma (HCC) patients beyond the Milan criteria after LT. This is an open-labeled, single-arm, prospective, multicenter, and real-world study aiming to evaluate the clinical outcomes of early switch to sirolimus-based regimens in HCC patients after LT. Patients with a histologically proven HCC and beyond the Milan criteria will be enrolled. The initial immunosuppressant regimens are center-specific for the first 4-6 weeks. The following regimens integrated sirolimus into the regimens as a combination therapy with reduced calcineurin inhibitors based on the condition of patients and centers. The study is planned for 4 years in total with a 2-year enrollment period and a 2-year follow-up. We predict that sirolimus conversion regimen will provide survival benefits for patients particular in the key indicator RFS as well as better quality of life. If the trial is conducted successfully, we will have a continued monitoring over a longer follow-up time to estimate indicator of overall survival. We hope that the outcome will provide better evidence for clinical decision-making and revising treatment guidelines based on Chinese population data. Trial register: Trial registered at http://www.chictr.org.cn: ChiCTR2100042869.

Efficacy of intermittent iron supplementation in children with mild iron-deficiency anemia / 中国当代儿科杂志

OBJECTIVES@#To study the efficacy of intermittent iron supplementation in children with mild iron-deficiency anemia.@*METHODS@#A total of 147 children with mild iron-deficiency anemia were enrolled in this prospective study. They were divided into an intermittent iron supplementation group (n=83) and a conventional iron supplementation group (n=64). The levels of hemoglobin were measured before treatment and after 1 and 3 months of treatment. The treat response rate and the incidence rate of adverse drug reactions were compared between the two groups.@*RESULTS@#Both groups had a significant increase in the level of hemoglobin after iron supplementation (P<0.05). After 1 month of treatment, the conventional iron supplementation group had a significantly higher treatment response rate than the intermittent iron supplementation group (61% vs 42%, P<0.05). After 3 months of treatment, there was no significant difference in the treatment response between the two groups (86% vs 78%, P>0.05). The incidence rate of adverse drug reactions in the conventional iron supplementation group was significantly higher than that in the intermittent iron supplementation group (25% vs 8%, P<0.05).@*CONCLUSIONS@#For children with mild iron-deficiency anemia, although intermittent iron supplementation is inferior to conventional iron supplementation in the short-term efficacy, there is no significant difference in the long-term efficacy between the two methods, and compared with conventional iron supplementation, intermittent iron supplementation can reduce the incidence of adverse drug reactions, alleviate family financial burdens, and improve treatment compliance of children, thus holding promise for clinical application.

Progress in prevention and control of Nipah virus disease / 中华流行病学杂志

Nipah virus disease (NVD) is a newly emerged zoonosis with a case fatality rate of 40%-75%. NVD is a severe threat to human health and the development of livestock farming. NVD has become one of the emerging infectious diseases with great concern globally during more than 20 years. Nipah virus (NiV) is a pathogen for NVD, the natural host of which is Fruit bats of the Pteropodidae family. The clinical spectrum of NiV infection is broad, including asymptomatic infection, acute respiratory infection, fatal encephalitis, and even death. Since NiV was first identified in Malaysia in 1999, it has been prevalent mainly in Southeast Asia and South Asia. NiV is primarily transmitted to humans through bat-pig-human, contaminated food. Currently, there are no specific therapeutic drugs and vaccines for NVD. Although there are no cases of NVD reported in China, which has close personnel and trade exchanges with major NVD-endemic countries, and NiV antibody has also been detected in relevant bats. There is a potential risk of importing NVD and domestic outbreaks in the future in this country. This paper provides a systematic review of the research progress in the prevention and control of NVD etiology, epidemiology, clinical manifestations and laboratory diagnosis to help relevant staff to understand NVD more comprehensively and systematically.

Development of novel-nanobody-based lateral-flow immunochromatographic strip test for rapid detection of recombinant human interferon α2b / 药物分析学报

Recombinant human interferon α2b(rhIFNα2b)is widely used as an antiviral therapy agent for the treatment of hepatitis B and hepatitis C.The current identification test for rhIFNα2b is complex.In this study,an anti-rhIFNα2b nanobody was discovered and used for the development of a rapid lateral flow strip for the identification of rhIFNα2b.RhIFNα2b was used to immunize an alpaca,which established a phage nanobody library.After five steps of enrichment,the nanobody I22,which specifically bound rhIFNα2b,was isolated and inserted into the prokaryotic expression vector pET28a.After subsequent purification,the physicochemical properties of the nanobody were determined.A semiquantitative detection and rapid identification assay of rhIFNα2b was developed using this novel nanobody.To develop a rapid test,the nanobody I22 was coupled with a colloidal gold to produce lateral-flow test strips.The developed rhIFNα2b detection assay had a limit of detection of 1 μg/mL.The isolation of I22 and successful construction of a lateral-flow immunochromatographic test strip demonstrated the feasibility of performing ligand-binding assays on a lateral-flow test strip using recombinant protein products.The principle of this novel assay is generally applicable for the rapid testing of other com-mercial products,with a great potential for routine use in detecting counterfeit recombinant protein products.

A Robust High-throughput Fluorescent Polarization Assay for the Evaluation and Screening of SARS-CoV-2 Fusion Inhibitors

Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is a serious threat to global health. One attractive antiviral target is the membrane fusion mechanism employed by the virus to gain access to the host cell. Here we report a robust protein-based fluorescent polarization assay, that mimicking the formation of the six-helix bundle (6-HB) process during the membrane fusion, for the evaluation and screening of SARS-CoV-2 fusion Inhibitors. The IC50 of known inhibitors, HR2P, EK1, and Salvianolic acid C (Sal C) were measured to be 6 nM, 2.5 nM, and 8.9 {micro}M respectively. In addition, we found Sal A has a slightly lower IC50 (3.9 {micro}M) than Sal C. Interesting, simple caffeic acid can also disrupt the formation of 6-HB with sub-mM concentration. A pilot high throughput screening (HTS) a small marine natural product library validates the assay with a Z factor close to 0.8. We envision the current assay provides a convenient way to screen SARS-CoV-2 fusion inhibitor and assess their binding affinity.

A comparative study of machine learning classifiers for injury severity prediction of crashes involving three-wheeled motorized rickshaw.

Motorcycles and motorcyclists have a variety of attributes that have been found to be a potential contributor to the high liability of vulnerable road users (VRUs). Vulnerable Road Users (VRUs) that include pedestrians, bicyclists, cycle-rickshaw occupants, and motorcyclists constitute by far the highest share of road traffic accidents in developing countries. Motorized three-wheeled Rickshaws (3W-MR) is a popular public transport mode in almost all Pakistani cities and is used primarily for short trips to carry passengers and small-scale goods movement. Despite being an important mode of public transport in the developing world, little work has been done to understand the factors affecting the injury severity of three-wheeled motorized vehicles. Crash injury severity prediction is a promising research target in traffic safety. Traditional statistical models have underlying assumptions and predefined associations, which can yield misleading results if flouted. Machine learning(ML) is an emerging non-parametric method that can effectively capture the non-linear effects of both continuous and discrete variables without prior assumptions and achieve better prediction accuracy. This research analyzed injury severity of three-wheeled motorized rickshaws (3W-MR) using various machine learning-based identification algorithms, i.e., Decision jungle (DJ), Random Forest (RF), and Decision Tree (DT). Three years of crash data (from 2017 to 2019) was collected from Provincial Emergency Response Service RESCUE 1122 for Rawalpindi city, Pakistan. A total of 2,743 3W-MR crashes were reported during the study period that resulted in 258 fatalities. The predictive performance of proposed ML models was assessed using several evaluation metrics such as overall accuracy, macro-average precision, macro-average recall, and geometric means of individual class accuracies. Results revealed that DJ with an overall accuracy of 83.7 % outperformed the DT and RF-based on a stratified 10-fold cross-validation approach. Finally, Spearman correlation analysis showed that factors such as the lighting condition, crashes involving young drivers (aged 20-30 years), facilities with high-speed limits (over 60 mph), weekday, off-peak, and shiny weather conditions were more likely to worsen injury severity of 3W-MR crashes. The outcomes of this study could provide necessary and essential guidance to road safety agencies, particularly in the study area, for proactive implementation of appropriate countermeasures to curb road safety issues pertaining to three-wheeled motorized vehicles.

Integrated analysis of microRNA and transcription factors in the bone marrow of patients with acute monocytic leukemia.

Acutemonocytic leukemia (AMoL) is a distinct subtype of acute myeloid leukemia (AML) with poor prognosis. However, the molecular mechanisms and key regulators involved in the global regulation of gene expression levels in AMoL are poorly understood. In order to elucidate the role of microRNAs (miRNAs/miRs) and transcription factors (TFs) in AMoL pathogenesis at the network level, miRNA and TF expression level profiles were systematically analyzed by miRNA sequencing and TF array, respectively; this identified 285 differentially expressed miRNAs and 139 differentially expressed TFs in AMoL samples compared with controls. By combining expression level profile data and bioinformatics tools available for predicting TF and miRNA targets, a comprehensive AMoL-specific miRNA-TF-mediated regulatory network was constructed. A total of 26 miRNAs and 23 TFs were identified as hub nodes in the network. Among these hubs, miR-29b-3p, MYC, TP53 and NFKB1 were determined to be potential AMoL regulators, and were subsequently extracted to construct sub-networks. A hypothetical pathway model was also proposed for miR-29b-3p to reveal the potential co-regulatory mechanisms of miR-29b-3p, MYC, TP53 and NFKB1 in AMoL. The present study provided an effective approach to discover critical regulators via a comprehensive regulatory network in AMoL, in addition to enhancing understanding of the pathogenesis of this disease at the molecular level.