Smoke Components Research Articles

DYNAMICS OF SMOKE INGREDIENTS PENETRATION INTO THE INTERIOR OF CHICKEN MEAT PRODUCTS DURING BOILING/SMOKING AND DRYING

During processing in meat, numerous activities occur. Those activities can have a positive or negative impact on the properties of aw materials and finished products. The aim of this study was to determine the dynamics of smoke components penetration (total phenols and organic acids) during boiling/smoking and drying of chicken meat at different thermal regimes.The dynamics of total phenol and total organic acidspenetrationinto meat samples was monitored during all stages of production (cooking/smoking, drying and storage). Eight experimental groups were analyzed. Samples in four experimental groups (EG I-IV) were subjected to boiling and smoking, and other four groups (EG V-VIII) to drying with different parameter values: boiling/smoking temperature 55-75°C, process duration 80-110 minutes, drying temperature 14-18°C, with air circulation 40-50 m3/min and relative humidity 85-88% in appropriate conditions.Based on the obtained results, the statistically significant influence of different heat treatments and their technological parameters on the dynamics of phenol and organic acid penetration was established (p<0.05). Temperature stood out as an important technological parameter with the greatest impact. The results show that due to elevated temperatures during heat treatments there is an increase in the concentration of total phenols and organic acids. Furthermore, it was concluded that the investigated processing procedures of chicken meat had an impact on the dynamics of penetration of smoke components.KEYWORDS:phenols, organic acids, boiling, smoking, drying

The strategy of using heme proteins and synthetic porphyrins as injectable antidotes for fire gas poisoning

Abstract During fire accidents, 2 highly toxic components of fire smoke, carbon monoxide (CO) and hydrogen cyanide (HCN), are produced simultaneously, and more than 50% of fire-related deaths can be attributed to the inhalation of these toxic gases. Despite the different CO and HCN detoxification mechanisms, oxygen (O2) ventilation is currently the primary clinical treatment, and no alternative methods are available at present. In this review, the toxicological mechanisms of CO and HCN are investigated with an emphasis on the toxic effects of their combination. On the basis of these toxic mechanisms, the advantages and disadvantages of the current clinical detoxification methods are analyzed and discussed. We also summarize the latest advancements in the development of CO- and HCN-scavenging antidotes, highlighting the strategy of using synthetic iron porphyrins that have been synthesized mainly in our laboratory as water-soluble synthetic hemoglobin biomimetics.

Cerebral Cortical Vasodilation via Nicotinic Receptors by Heated Tobacco Product Aerosol Extract in Rats

Introduction: Smoking increases the risk of lung cancer due to a number of components of smoke. The use of novel heated tobacco products (HTPs), alternative to conventional combustion cigarettes, has increased in recent years. However, the in vivo biological effects of HTPs are poorly understood. This study aimed to clarify the acute effects of injecting aerosol extract prepared from an HTP on regional cerebral blood flow (rCBF) in rat cortex by comparing them to the effects of injecting smoke extract prepared from conventional combustible cigarettes. Methods: In urethane anesthetized rats, rCBF was measured using laser speckle contrast imaging simultaneously with arterial pressure. Results: Both cigarette smoke extract and HTP aerosol extract, at a dose equivalent to 30 μg nicotine/kg, injected intravenously, increased cortical rCBF without changing arterial pressure. The magnitude and time course of the increased rCBF response to both extracts were similar throughout the cortical area, and the rCBF increases were all abolished by dihydro-β-erythroidine, an α4β2-preferring nicotinic acetylcholine receptor (nAChR) antagonist. Conclusion: In conclusion, our study demonstrated that the effect of injecting aerosol extract prepared from an HTP, an acute increase in cortical rCBF, is mediated via activation of α4β2-like neuronal nAChRs in the brain.

The impacts of tobacco and nicotine on HIV-1 infection, inflammation, and the blood-brain barrier in the central nervous system

Human immunodeficiency virus (HIV-1) remains a persistent global health crisis. Even while successfully virologically suppressed, people with HIV (PWH) experience a higher risk for inflammatory disorders such as HIV-associated neurocognitive disorder (HAND). Tobacco use puts PWH at higher risk for neurocognitive symptoms resulting from HIV-associated neuroinflammation. The NLR Family Pyrin Domain Containing 3 (NLRP3) inflammasome has been implicated as a driver of HIV-associated inflammation, including HAND. Nicotine, the psychoactive component of tobacco smoke, has also been shown to signal through the NLRP3 inflammasome and modulate inflammatory signaling in the CNS. Here, we explore the impacts of nicotine and tobacco on the complex neurobiology of HAND, including effects on cognition, inflammation, viral latency, and blood-brain barrier integrity. We outline nicotine’s role in the establishment of active and latent infection in the brain and posit the NLRP3 inflammasome as a common pathway by which HIV-1 and nicotine promote neuroinflammation in PWH.

Wildfire-sourced fine particulate matter and preterm birth risks in Brazil: A nationwide population-based cohort study

Wildfire-specific particulate matter with diameters ≤ 2.5 µm (PM2.5) is the key component of wildfire smoke, with potentially higher toxicity than PM2.5 from other sources. In this nationwide population-based cohort study, we included 22,163,195 births from Brazil during 20102019. Daily wildfire-specific PM2.5 was estimated through the chemical transport model. Time-varying Cox proportional hazards models were used to characterize the exposure-time-response (E-T-R) relationship between weekly wildfire-specific PM2.5 exposure and preterm birth (PTB) risks, followed by subgroup analyses. A 10 µg/m3 increment in wildfire-specific PM2.5 was associated with a hazard ratio of 1.047 (95 % confidence interval [CI]: 1.032–1.063) for PTB. Stronger associations between wildfire-specific PM2.5 and PTB were observed during earlier pregnancy, among female infants, and pregnant women < 18 years old, in ethnic minorities, with a length of education ≥ 11 years, from low-income or high-temperature municipalities, and residing in North/Northeast regions. An estimated 1.47 % (95 % CI: 1.01 %1.94 %) of PTBs were attributable to wildfire-specific PM2.5 in Brazil, increasing from 2010 to 2019. The PTBs attributable to wildfire-specific PM2.5 surpassed those attributed to non-wildfire PM2.5 (0.31 %, 95% CI: 0.09 %0.57 %). Wildfire emerged as a critical source contributing to the PM2.5-linked PTBs. Prioritized fire management and emission control strategies are warranted for PTB prevention.

Inhibitory Effects of Powdered Liquid Smoke from Mangrove (Avicennia marina) Twigs on Spoilage Bacteria

This study investigated the inhibitory effects of powdered liquid smoke derived from Avicennia marina (mangrove) twigs on spoilage bacteria. The research method used was experimental. Branches of mangrove (A. marina) were burned and distilled to produce liquid smoke. The powdered liquid smoke was subsequently tested for its antibacterial capabilities against foodborne pathogen bacteria. The damage to the bacterial formation was further illustrated using a Scanning electron micrograph. The components of liquid smoke were analysed using GC-MS. GC-MS test results on liquid smoke from mangrove twigs revealed several components including groups of acids such as butanoic acid, 1H-pyrrole-3-propanoic acid, 2-(4-methoxy-3-methylphenyl)-thiazolidine-4-carboxylic acid, hexanedioic acid, 2-bromo propionic acid, carbamic acid, oxalic acid, ritalinic acid and 7-dimethyl-6-octenyl acetate (acetic acid), as well as oxalic acid decyl propyl ester and 1,2-benzene dicarboxylic acid. The phenol group includes cyclohexanol, 2-cyclohexen-1-ol, 2-methyl-5-(1-methylethenyl)-, cis, 1,4-dihydroxy-p-menth-2-ene, phenol, 3-methyl, phenol, 2-methoxy-4-(1-propenyl)-, acetate, 1,2-diphenyl-2-ethanediol and 1,2-ethanediol. The ketone group includes beta-piperidino propiophenone, pyrrolidine-2-one, 5-[2-benzoylethyl]-,benzoyl amino-1-(4-methylphenyl)-3-piperidinyl propane, 3-nonen-5-one, 1-(1-butoxypropan-2-yloxy) propan-2-yl 2-methylbut-2-enoate, 6-octen-1-ol, 3,7-dimethyl, 4-(2,2,6-trimethyl cyclohexyl)-2-butanone and the carbonyl group includes N2-[(phenylmethoxy) carbonyl].

Prediction of typical gas components in cigarette smoke based on transformer

Abstract Harm reduction of cigarette products has become one of the primary objectives of the entire tobacco industry. The prediction of typical gas components (TGC) and dynamic adjustment of process parameters are crucial for cigarette coke reduction and harm reduction. In this study, a deep learning (DL)-assisted TGC prediction framework is proposed to predict CO and NI simultaneously. Firstly, a large number of experimental and simulation parameters of cigarette process are collected as the data base for subsequent model construction. Then, the feature importance analysis of the process parameters was carried out by combining the mechanism of the combustion process through the mutual information method. Finally, DL models based on Multilayer Perceptron, One-Dimension Convolutional Neural Network and Transformer (TF) was developed as data-driven surrogate models to establish the mapping relationship between process parameters and TGC. The results show that TF model generalizes best and can predict TGC quickly and accurately with R2 over 0.99. This work will provide a valuable predictive and decision-making tool for cigarette harm reduction.

Wildfire-related PM2.5 and cause-specific cancer mortality

Wildfires have devastating effects on society and public health. However, little evidence from population-based cohort has been performed to analyze the relationship of wildfire-related PM2.5, an important component of wildfire smoke, with cancer-specific mortality. We aimed to explore this relationship and identify vulnerable populations in UK with lower levels of wildfire-related PM2.5 exposure. The study consisted of 492394 participants (age: 38–73 years) recruited by UK Biobank during 2004–2010. The cumulative wildfire-related PM2.5 within 10 kilometers of residence over three years was used as exposure, which was assessed by chemical transport and machine learning models. A time-varying Cox regression was utilized to explore the relationship of exposure with diverse cancer-specific mortality outcomes. Subgroup analyses of a range of potential modifiers were performed. Each 10 μg/m3 increment of 3-year cumulative exposure was related to a 0.4 % greater risk of total cancer (95 %CI: 1.001–1.007), a 1.1 % greater risk of lung cancer (95 %CI: 1.004–1.018), and a 2.7 % greater risk of lip, oral cavity and pharynx (LOP) cancer (95 %CI: 1.005–1.049). Higher vulnerability in the wildfire-related PM2.5-lung cancer relationship was found among participants being retired than those with other employment status. Even lower levels of exposure to PM2.5 from wildfires were related to elevated mortality risks for cancer from total, lung, LOP, highlighting the importance of wildfire prevention and control. Further investigations are warranted to enrich and extend existing knowledge in this field.

Identification of Sweetness Preference-Related Single-Nucleotide Polymorphisms for Polygenic Risk Scores Associated with Obesity.

Our study aimed to identify sweetness preference-associated single-nucleotide polymorphisms (SNPs), characterize the related genetic loci, and develop SNP-based polygenic risk scores (PRS) to analyze their associations with obesity. For genotyping, we utilized a pooled genome-wide association study (GWAS) dataset of 18,499 females and 10,878 males. We conducted genome-wide association analyses, functional annotation, and employed the weighted method to calculate the levels of PRS from 677 sweetness preference-related SNPs. We used Cox proportional hazards modeling with time-varying covariates to estimate age-adjusted and multivariable hazard ratios (HRs) and 95% confidence intervals (CIs) for obesity incidence. We also tested the correlation between PRS and environmental factors, including smoking and dietary components, on obesity. Our results showed that in males, the TT genotype of rs4861982 significantly increased obesity risk compared to the GG genotype in the Health Professionals Follow-up Study (HPFS) cohort (HR = 1.565; 95% CI, 1.122-2.184; p = 0.008) and in the pooled analysis (HR = 1.259; 95% CI, 1.030-1.540; p = 0.025). Protein tyrosine phosphatase receptor type O (PTPRO) was identified as strongly associated with sweetness preference, indicating a positive correlation between sweetness preference and obesity risk. Moreover, each 10 pack-year increment in smoking was significantly associated with an increased risk of obesity in the HPFS cohort (HR = 1.024; 95% CI, 1.000-1.048) in males but not in females. In conclusion, significant associations between rs4861982, sweetness preference, and obesity were identified, particularly among males, where environmental factors like smoking are also correlated with obesity risk.

Multiancestry transferability of a polygenic risk score for diverticulitis

ObjectivePolygenic risk scores (PRS) for diverticular disease must be evaluated in diverse cohorts. We sought to explore shared genetic predisposition across the phenome and to assess risk stratification in individuals...

A Self-Supervised Network-Based Smoke Removal and Depth Estimation for Monocular Endoscopic Videos.

In minimally invasive surgery videos, label-free monocular laparoscopic depth estimation is challenging due to smoke. For this reason, we propose a self-supervised collaborative network-based depth estimation method with smoke-removal for monocular endoscopic video, which is decomposed into two steps of smoke-removal and depth estimation. In the first step, we develop a de-endoscopic smoke for cyclic GAN (DS-cGAN) to mitigate the smoke components at different concentrations. The designed generator network comprises sharpened guide encoding module (SGEM), residual dense bottleneck module (RDBM) and refined upsampling convolution module (RUCM), which restores more detailed organ edges and tissue structures. In the second step, high resolution residual U-Net (HRR-UNet) consisting of a DepthNet and two PoseNets is designed to improve the depth estimation accuracy, and adjacent frames are used for camera self-motion estimation. In particular, the proposed method requires neither manual labeling nor patient computed tomography scans during the training and inference phases. Experimental studies on the laparoscopic data set of the Hamlyn Centre show that our method can effectively achieve accurate depth information after net smoking in real surgical scenes while preserving the blood vessels, contours and textures of the surgical site. The experimental results demonstrate that the proposed method outperforms existing state-of-the-art methods in effectiveness and achieves a frame rate of 94.45fps in real time, making it a promising clinical application.

On-Line Analysis of Cigarette Smoke Based on Microwave Plasma Torch Mass Spectrometry.

Cigarette smoke contains a large number of chemicals, including both flavor components and harmful substances. The mainstream smoke (MSS) generated by smoking is directly inhaled by individuals, making it crucial to establish an effective method for smoke detection and analysis. One promising technique for analyzing smoke is MPT-MS (Microwave plasma torch mass spectrometry). This approach offers several advantages in accurately detecting the composition of cigarette smoke. By combining MPT-MS with a smoke pumping device, we can achieve real-time online detection of smoke components. We successfully detected 22 flavor compounds present in the smoke. These compounds contribute to the distinct taste of cigarettes. Moreover, we identified 2 polycyclic aromatic hydrocarbons (PAHs) in the smoke. PAHs are known carcinogens and are of great concern in terms of their potential health risks. The successful detection and identification of flavor compounds and PAHs using our method confirm the online detection capability of MPT-MS. This approach provides an efficient and reliable means for analyzing the complex composition of cigarette smoke. By utilizing MPT-MS, we can gain valuable insights into the chemical composition of cigarette smoke and can inform the development of strategies and policies aimed at reducing the harmful effects of smoking and protecting public health.

Color Modifications of a Maxillofacial Silicone Elastomer under the Effect of Cigarette Smoke.

Although it is known (from the observations of medical professionals) that cigarette smoke negatively affects maxillofacial prostheses, especially through staining/discoloration, systematic research in this regard is limited. Herein, the color modifications of M511 maxillofacial silicone, unpigmented and pigmented with red or skin tone pigments, covered with mattifiers, or with makeup and mattifiers, and directly exposed to cigarette smoke, were investigated by spectrophotometric measurements in the CIELab and RGB color systems. The changes in color parameters are comparatively discussed, showing that the base silicone material without pigmentation and coating undergoes the most significant modifications. Visible and clinically unacceptable changes occurred after direct exposure to only 20 cigarettes. By coating and application of makeup, the material is more resistant to color changes, which suggests that surface treatments provide increased protection to adsorption of the smoke components. The dynamic water vapor sorption (DVS) measurements indicate a decrease of the sorption capacity in pigmented versus unpigmented elastomers, in line with the changes in color parameters.

The double-edged nature of nicotine: toxicities and therapeutic potentials.

Nicotine is the primary addictive component of cigarette smoke and is associated with various smoking-related diseases. However, recent research has revealed its broader cognitive-enhancing and anti-inflammatory properties, suggesting its potential therapeutic applications in several conditions. This review aims to examine the double-edged nature of nicotine, encompassing its positive and negative effects. We provide a concise overview of the physiochemical properties and pharmacology of nicotine, including insights into nicotine receptors. Therefore, the article is divided into two main sections: toxicity and therapeutic potential. We comprehensively explored nicotine-related diseases, focusing on specific signaling pathways and the underlying mechanisms that contribute to its effects. Furthermore, we addressed the current research challenges and future development perspectives. This review aims to inspire future researchers to explore the full medical potential of nicotine, which holds significant promise for the clinical management of specific diseases.

Effect and investigating of oxygen / nitrogen on modified glassy carbon electrode chitosan/carbon nanotube and best detection of nicotine using Cyclic voltammetry measurement technique

Nicotine, a component of tobacco smoke, is a neurotoxin. It exerts its effects by stimulating nicotine-containing acetylcholine receptors. Nicotine, one of over 4,700 components in tobacco smoke, was previously used as an insecticide in agriculture. Although the use of nicotine in agriculture has been banned in many countries, nicotine poisoning due to accidental or intentional ingestion of nicotine products remains a problem for smoking workers as well as children and adults. Understanding the mechanisms of nicotine poisoning is important for both prevention and treatment, as well as for appropriate regulatory approaches. We study the pharmacological properties of nicotine and the cellular mechanisms underlying acute and persistent nicotine addiction that appear to be related to the central and peripheral nervous systems. The electrochemical properties of nicotine were studied using a glassy carbon-chitosan/multiwalled carbon nanotubes-COOH electrode. Nicotine-COOH via chitosan/multiwalled carbon nanotubes was irreversibly reduced in the presence of oxygen and nitrogen gas. Oxidation signals at lower potentials and higher currents were obtained for nicotine via the modified electrode compared to the glassy carbon electrode. This condition proliferated in the presence of oxygen gas, suggesting that nanotubes, including carbon nanotubes, facilitate electron transfer and form the basis for electrocatalytic nicotine applications. Under optimal conditions, cyclic voltammetry (CV) shows oxidation of nicotine in the presence of oxygen at 0.74 V and nitrogen at 0.81 V in phosphate buffer solution at pH = 7.4. Linear calibration curves range from 0.1 to 200 μM for oxygen and 0.05 to 200 μM for nitrogen conditions, both with R2 = 0.99, and detection limits of 7.1 for oxygen and 9.2 nM for nitrogen.

Multi-omic signatures of sarcoidosis and progression in bronchoalveolar lavage cells

BackgroundSarcoidosis is a heterogeneous granulomatous disease with no accurate biomarkers of disease progression. Therefore, we profiled and integrated the DNA methylome, mRNAs, and microRNAs to identify molecular changes associated with sarcoidosis and disease progression that might illuminate underlying mechanisms of disease and potential biomarkers.MethodsBronchoalveolar lavage cells from 64 sarcoidosis subjects and 16 healthy controls were used. DNA methylation was profiled on Illumina HumanMethylationEPIC arrays, mRNA by RNA-sequencing, and miRNAs by small RNA-sequencing. Linear models were fit to test for effect of sarcoidosis diagnosis and progression phenotype, adjusting for age, sex, smoking, and principal components of the data. We built a supervised multi-omics model using a subset of features from each dataset.ResultsWe identified 1,459 CpGs, 64 mRNAs, and five miRNAs associated with sarcoidosis versus controls and four mRNAs associated with disease progression. Our integrated model emphasized the prominence of the PI3K/AKT1 pathway, which is important in T cell and mTOR function. Novel immune related genes and miRNAs including LYST, RGS14, SLFN12L, and hsa-miR-199b-5p, distinguished sarcoidosis from controls. Our integrated model also demonstrated differential expression/methylation of IL20RB, ABCC11, SFSWAP, AGBL4, miR-146a-3p, and miR-378b between non-progressive and progressive sarcoidosis.ConclusionsLeveraging the DNA methylome, transcriptome, and miRNA-sequencing in sarcoidosis BAL cells, we detected widespread molecular changes associated with disease, many which are involved in immune response. These molecules may serve as diagnostic/prognostic biomarkers and/or drug targets, although future testing is required for confirmation.

Wildfire smoke impacts the body condition and capture rates of birds in California

ABSTRACT Despite the increased frequency with which wildfire smoke now blankets portions of world, the effects of smoke on wildlife, and birds in particular, are largely unknown. We used 2 decades of banding data from the San Francisco Bay Bird Observatory to investigate how fine particulate matter (PM2.5)—a major component and indicator of wildfire smoke—influenced capture rates and body condition of 21 passerine or near-passerine bird species. Across all study species, we found a negative effect of acute PM2.5 exposure and a positive effect of chronic PM2.5 exposure on avian capture rates. Together, these findings are indicative of decreased bird activity or local site removal during acute periods of wildfire smoke, but increased activity or site colonization under chronic smoke conditions. Importantly, we also observed a negative relationship between chronic PM2.5 exposure and body mass change in individuals with multiple captures per season. Our results indicate that wildfire smoke likely influences the health and behavior of birds, ultimately contributing to a shift in activity and body condition, with differential short-term versus long-term impacts. Although more research is needed on the mechanisms driving these observed changes in bird health and behavior, as well as validation of these relationships in more areas, our results suggest that wildfire smoke is a potentially frequent large-scale environmental stressor to birds that deserves increasing attention and recognition.

Volatile organic compounds and mortality from ischemic heart disease: A case-cohort study

BackgroundVolatile organic compounds (VOCs) are major components of air pollution and tobacco smoke, two known risk factors for cardiovascular diseases. VOCs are ubiquitous in the environment and originate from a wide range of sources, including the burning of biomass, fossil fuels, and consumer products. Direct evidence for associations between specific VOCs and ischemic heart disease (IHD) mortality in the general population is scarce. MethodsIn a case-cohort study (stratified by age groups, sex, residence, and tobacco smoking), nested within the population-based Golestan cohort study (n = 50,045, 40–75 years, 58% women, enrollment: 2004–2008) in northeastern Iran, we measured urinary concentrations of 20 smoking-related VOC biomarkers using ultra high-performance liquid chromatography coupled with electrospray ionization tandem mass spectrometry. We calculated hazard ratio (HR) and 95% confidence interval (CI) for their associations with IHD mortality during follow-up to 2018, using Cox regression models adjusted for age, ethnicity, education, marital status, body mass index, physical activity, wealth, and urinary cotinine. ResultsThere were 575 non-cases from random subcohort and 601 participants who died from IHD, mean (standard deviation) age, 58.2 (9.3) years, with a median of 8.4 years follow-up. Significant associations [3rd vs. 1st tertile, HR (95% CI), P for trend] were observed between biomarkers of acrylamide [1.68(1.05,2.69), 0.025], acrylonitrile [2.06(1.14,3.72), 0.058], acrolein [1.98(1.30,3.01), 0.003 and 2.44(1.43,4.18), 0.002], styrene/ethylbenzene [1.83(1.19,2.84), 0.007 and 1.44(1.01,2.07), 0.046], dimethylformamide/methylisocyanate [2.15(1.33,3.50), 0.001], and 1,3butadiene [2.35(1.52,3.63),<0.001] and IHD mortality. These associations were independent of tobacco smoking, and they were only present in the non-smoking subgroup. ConclusionOur findings provide direct evidence for associations between exposure to several VOCs with widespread household and commercial use and IHD mortality many years after these exposures. These results highlight the importance of VOC exposure in the general population as a risk factor for cardiovascular diseases and underline the importance of bio-monitoring non-tobacco VOC exposure.

Tobacco-induced hyperglycemia promotes lung cancer progression via cancer cell-macrophage interaction through paracrine IGF2/IR/NPM1-driven PD-L1 expression

Tobacco smoking (TS) is implicated in lung cancer (LC) progression through the development of metabolic syndrome. However, direct evidence linking metabolic syndrome to TS-mediated LC progression remains to be established. Our findings demonstrate that 4-(methylnitrosamino)−1-(3-pyridyl)−1-butanone and benzo[a]pyrene (NNK and BaP; NB), components of tobacco smoke, induce metabolic syndrome characteristics, particularly hyperglycemia, promoting lung cancer progression in male C57BL/6 J mice. NB enhances glucose uptake in tumor-associated macrophages by increasing the expression and surface localization of glucose transporter (GLUT) 1 and 3, thereby leading to transcriptional upregulation of insulin-like growth factor 2 (IGF2), which subsequently activates insulin receptor (IR) in LC cells in a paracrine manner, promoting its nuclear import. Nuclear IR binds to nucleophosmin (NPM1), resulting in IR/NPM1-mediated activation of the CD274 promoter and expression of programmed death ligand-1 (PD-L1). Restricting glycolysis, depleting macrophages, or blocking PD-L1 inhibits NB-mediated LC progression. Analysis of patient tissues and public databases reveals elevated levels of IGF2 and GLUT1 in tumor-associated macrophages, as well as tumoral PD-L1 and phosphorylated insulin-like growth factor 1 receptor/insulin receptor (pIGF-1R/IR) expression, suggesting potential poor prognostic biomarkers for LC patients. Our data indicate that paracrine IGF2/IR/NPM1/PD-L1 signaling, facilitated by NB-induced dysregulation of glucose levels and metabolic reprogramming of macrophages, contributes to TS-mediated LC progression.

Essential Oil and Smoke Components of Artemisia absinthium and Hagenia abyssinica.

Hagenia abyssinica and Artemisia absinthium are widely distributed tree species in Ethiopia and known for their traditional medicinal uses. The present study was conducted to determine the essential oil and smoke constituents of H. abyssinica and A. absinthium leaves using GC-MS. The main components of the A. absinthium essential oil were valencene (5.48%), bornyl acetate (5.15%), and trans-cinnamic acid (4.34%). 2-Bornanone (18.54%), o-cymene (12.80%), and nerolidol (7.04%) were the dominant components of the MeOH fraction of the smoke derived from the leaves of A. absinthium, while 2-propenoic acid butyl ester (46.49%), heptadecane (10.66%), and 9-octylheptadecane (7.78%) were the major components of the n-hexane fraction. The main components of the H. abyssinica essential oil were cis-davanone (14.73%), Aristolediene (9.31%), and cryptone (6.50%). β-Myrcene (12.59%), neophytadiene (11.54%), and limonene (11.27%) were the dominant components of the MeOH fraction of the smoke derived from the leaves of H. abyssinica. 1,3,5,7-Cyclooctatetraene (33.58%), prehnitene (7.01%), and heptadecane (5.46%) were the dominant components of the n-hexane fraction of the smoke derived from the leaves of H. abyssinica. The smoke components of A. absinthium and H. abyssinica were reported here for the first time.