Effective Prevention Research Articles

Integrated metabolomics and network pharmacology analysis to reveal the protective effect of Complanatoside A on nonalcoholic fatty liver disease.

The rising prevalence and severe consequences of nonalcoholic fatty liver disease (NAFLD) have driven the quest for preventive medications. Complanatoside A (CA) is the marked flavonoid of Astragali complanati semen, a traditional Chinese herb that acts on the liver meridian and is widely used to treat liver problems. CA has been proven to have considerable lipid-lowering and liver-protective effects in vitro. However, the efficacy of CA in preventing NAFLD has yet to be shown in vivo. First, the effectiveness of CA against NAFLD was assessed using a high-fat diet (HFD) mouse model. Second, the CA protective mechanism against NAFLD was investigated using a combined metabolomics and network pharmacology strategy. Differential metabolites were identified by metabolomics-based analyses, and metabolic pathway analysis was accomplished by MetaboAnalyst. Potential therapeutic targets were obtained through network pharmacology. Finally, key targets were identified via compound-target networks and validated by molecular docking and western blotting. CA prevented NAFLD mainly by reducing liver lipid accumulation in HFD mice. Metabolomics identified 22 potential biomarkers for CA treatment of NAFLD, primarily involving glycerophospholipid and arachidonic acid metabolism. Fifty-one potential targets were determined by network pharmacology. Co-analysis revealed that albumin, peroxisome proliferator-activated receptor-alpha, retinoid X receptor alpha, interleukin-6, and tumor necrosis factor alpha were key targets. This experiment revealed that CA has a preventive effect on NAFLD, primarily by regulating the peroxisome proliferator-activated receptor-alpha/retinoid X receptor alpha pathway. Furthermore, it provides evidence supporting the potential use of CA in the long-term prevention of NAFLD.

Whole-Genome Analysis of Stress Resistance-Related Genes in Listeria monocytogenes

Listeria monocytogenes is a crucial foodborne pathogen with significant public health implications. This study analyzed whole-genome sequences (WGS) of L. monocytogenes strains from public databases, examining associations between resistance genes, lineage, strain type, isolation source, and geography. Results revealed that after eliminating duplicates and strains with incomplete WGS, a total of 316 strains were deemed suitable for subsequent analyses. Within these strains, lineages I and II were extensively distributed, predominantly isolated from clinical and food sources. 56.65% of these strains fell into seven major Clonal Complexes (CC), identified by Multilocus Sequence Typing (MLST), correlating significantly with isolation information. Analysis of 46 resistance-related genes showed a high consistency of resistance genes in the same type of strains, hinting at a potential causal chain of ‘food-food environment-evolution of L. monocytogenes’. Moreover, the standard strains exhibit similar gene carriage rates as the sample strains, with multiple variations observed in acid-resistance genes. In conclusion, through a comprehensive analysis of the L. monocytogenes genome sequences, this study deepens our understanding of the differences and associations between its lineage, strain typing, isolation sources, geographical distribution, and resistance genes, thereby providing a scientific basis for formulating more effective prevention and control strategies.

Insight into the molecular mechanism of anti-breast cancer therapeutic potential of substituted salicylidene-based compounds using cell-based assays and molecular docking studies.

Targeting oxidative stress and inflammatory signaling pathways is an effective cancer prevention and therapy approach. The mechanism of action of synthesized salicylidene-based compounds was investigated in regulating key molecular targets of breast cancer development. Compounds (1), (4), (5), and (7) were found to be more cytotoxic to MCF-7 and 4T1 cells compared to non-cancerous Chang liver cells, while these compounds were cytotoxic to MDA-MB-231 cells, but with poor selectivity. The colony formation assay indicated that bioactive compounds induced significant damage to breast cancer cells, as observed by a reduction in the number of colonies compared to control cells. By inducing a concentration and time-dependent increase of luminescence and fluorescence of phosphatidylserine, and activating the expression of caspases-3, -7, -8, -9 in breast cancer cells, (1) and (7) have shown to induce caspase-dependent apoptosis. The downregulation of NF-kB-p65 and an upregulation of TP53 expression after exposure to bioactive compounds, demonstrated the suppression of two key targets of breast cancer development. Molecular docking studies revealed that selected protein targets strongly interact with bioactive compounds, and the estimated inhibition constants (Ki) of JAK2, STAT3, COX-2, HPV31 E6, EGFR1, TP53, and PARP1 were significantly decreased compared to acetylsalicylic acid. This could be a clear indication that these protein targets are implicated with antiproliferative efficacy, thereby warranting the potential of (1) and (7) to be used as anti-breast cancer drug candidates.

Understanding the role of topography on valley floor gully and hillslope gully development in cropland of the rolling hill region of northeast China

In regions with steep slopes, the classification of permanent gully (PG) into hillslope gullies (HG) and valley floor gullies (VG) was obvious before the study began. However, in the rolling hill region (slope < 5°), the difference between HG and VG was often overlooked. Moreover, there is no standardized approach for classifying gullies, which results in ambiguity regarding the impact of topography on various developmental stages of gullies and significantly impairs the effective management of gully erosion in the rolling hill region. We propose a remote sensing-based classification method to categorize 1081 PG into VG and HG in the cropland of the rolling hill region. The high-resolution satellite images (0.7 m) from 2010 and 2021 of all PGs were used to obtain the gully development rate and distribution patterns. Among these, 79 typical PGs were investigated using UAV to acquire high-resolution DEM (5 cm), which was used to analyze the relationship between the single or composite topographic factor and gully development rates. The results show that the proposed classification method can effectively recognize the VG and HG in the rolling hill region. The average length, area, and volume of the VG were found to be 2.31, 3.15, and 6.59 times that of the HG, respectively. The rate of gully head retreat, expansion area, and volume of the VG were also 1.59, 2.48, and 5.81 times faster than that of the HG, respectively. In HG and VG, the retreat rate of gully head (Δl) both showed a positive linear correlation with the distance from the gully head to the catchment divide (LA). The extension rate of gully area (Δa) was positively linearly and exponentially correlated with composite topographic factor SA (product of local slope (S) and contributing area above the gully head (A)). Additionally, the Δa of VG was strongly related to the shape and size of A, while the Δa of HG was strongly related to S. The gully volume expansion rate (ΔV) of both HG and VG was influenced by factors such as the existing size of the gully, the contributing area of the outlet (Ao), and the elevation difference from the outlet to the gully head (h). Hence, the changes in Δl and Δa for PG are primarily attributed to hydraulic erosion, while ΔV is influenced by both hydraulic and gravitational erosion. The study has shown the non-negligible influence of HG and VG in the rolling hill region. And the composite topographic factors can also better predict the PG development rate. This study contributes to the formulation of effective soil erosion prevention strategies and sustainable land management practices.

Optimizing Diagnosis of Pediatric Streptococcus pyogenes Infections: A Clinical Prediction Model

Group A Streptococcus (GAS) infections, caused by Streptococcus pyogenes, are a major health concern among children under 12 years, leading to conditions such as tonsillitis, rheumatic fever, and post-streptococcal glomerulonephritis. Accurate diagnosis is essential for effective treatment and prevention. This study aimed to develop and validate a Clinical Prediction Rule (CPR) for predicting the presence of S. pyogenes in throat swabs from children under 12. We analyzed clinical and laboratory data from 1,015 pediatric patients presenting with symptoms suggestive of GAS infection at Federal University Teaching Hospital, Owerri, Imo State, between January 2019 and December 2022. S. pyogenes was first isolated from throat swabs cultured on blood agar, and 233 positive isolates were further identified using Polymerase Chain Reaction (PCR) targeting the Spy 1258 gene, with DNA extracted via boiling and confirmed through phenotypic methods. Data from these 233 identified cases were used to develop and validate the CPR. Variables examined included gender, age, ward of admission, clinical diagnosis, and antibiotic susceptibility. Logistic regression modeling identified significant predictors of S. pyogenes presence, with potential biases minimized through systematic case review, standardized data extraction and cross-checking by multiple reviewers. Among the 233 cases analyzed, the mean age was 4 ± 0.25 years, with 62.7% under age 3. Tonsillitis was the predominant diagnosis, with GAS prevalence ranging from 56.7% to 69.3%. Antibiotic susceptibility test result varied, with significant predictors including Sepsis/Tonsillitis and ear discharge/tonsillitis (p < 0.001). The CPR model demonstrated a sensitivity of 95.4% and a specificity of 36.8%, highlighting its potential to enhance clinical diagnosis and management of GAS infections. This study offers valuable insights into predictors of S. pyogenes infection in pediatric patients and highlights the CPR’s potential for improving clinical diagnosis and management.

A mixed-methods study among adolescents and teachers in Bogotá, Colombia: adapting the OurFutures Alcohol Program.

Early onset of alcohol consumption among Colombian adolescents highlights the need for effective and accessible preventive interventions. This project aimed to conduct formative work to inform the adaptation of an effective eHealth alcohol use prevention program originally developed in Australia, the OurFutures Alcohol Module, to the Bogotá context. Twenty-six adolescents and 10 teachers in Bogotá participated in the study. We used a mixed-methods approach comprising interviews, surveys and semi-structured discussions to evaluate the acceptability of OurFutures. Study materials were translated into Spanish before conducting three 1.5-hour focus groups with adolescents (aged 11-15; n = 26), and 1-hour interviews or online surveys with teachers to assess attitudes towards alcohol use and the acceptability of one lesson from the OurFutures Alcohol Module in the Bogotá context. Qualitative data were analysed thematically, and descriptive analyses of quantitative data reported percentage agreement for survey questions. Overall, 96% of students and 89% of teachers expressed strong satisfaction with the OurFutures Alcohol Module lesson. Most students (96%) liked its storyline and character portrayal, and most teachers (80%) said they would use OurFutures with their students. Participants provided feedback for improving program relatability, including adapting scenarios, character names, clothing and language to align with the Bogotá context and resonate with Colombian adolescents. This study marks the first step in informing the adaptation of the OurFutures Alcohol Module to the Bogotá context and highlights key considerations for cultural adaptations of other substance use prevention interventions. This research underscores the importance of place-based end-user involvement in co-designing adolescent prevention interventions.

MitoQ enhances CYP19A1 expression to stimulate WNT/β-catenin signaling pathway for promoting hair growth in androgenetic alopecia.

Increased sensitivity to androgens and androgen receptors is the underlying cause of androgenetic alopecia (AGA), a hereditary disease. Our study investigated the preventive effects of MitoQ on dihydrotestosterone (DHT)-induced mitochondrial dysfunction and subsequent hair loss from three perspectives: in vivo, in vitro, and network pharmacology. A mouse model of AGA was used to assess the effectiveness of MitoQ intervention. Seventy-five drug targets and 367 disease targets were identified through network pharmacology analysis. Molecular docking analysis revealed that the androgen receptor (AR) and CYP19A1, which are key targets of MitoQ, may play a role in AGA treatment. CYP19A1 expression was downregulated in lesions from patients with AGA compared to healthy scalp tissue, while AR expression was upregulated. Cellular tests of human dermal papilla cells (DPCs) treated with MitoQ revealed that the mRNA and protein expression of AR remained unchanged, but the mRNA expression of CYP19A1 was upregulated. Our experiments also confirmed that CYP19A1 overexpression prevented DHT-induced apoptosis and upregulated the expression levels of WNT3A and β-catenin, whereas increased apoptosis levels and the downregulation of WNT3A and β-catenin due to CYP19A1 knockdown were reduced by MitoQ. We verified that MitoQ enhanced hair growth in DHT-induced hair loss model mice and reversed DHT-induced apoptosis by enhancing the expression of CYP19A1 in DPCs and that MitoQ may act by mediating the WNT/β-catenin pathway. These findings indicate that MitoQ could be a promising intervention for AGA and that CYP19A1 may serve as a valuable therapeutic target for AGA.

CFD numerical simulation of tunnel dust pollution control using a negative pressure double extraction ventilation system

To effectively control the dust pollution problem in tunneling, we studied the dust control and removal effect of a novel negative pressure double extraction ventilation system. We first investigated the spatial and temporal evolution law of wind flow and dust under single-pressure entry ventilation conditions, and found that the dust diffused to the tunnel exit within 150s. The average dust concentrations at the driver’s location, the front of the tunnel, and the back of the tunnel were 339.26, 278.39, and 232.43mg/m3, respectively, and the average dust concentration in the tunnel was 243.74mg/m3. Subsequently, based on the principle of air extraction and dust control, a negative pressure double extraction dust control system was constructed. The spatial and temporal evolution of wind flow and dust at different locations of the exhaust duct was investigated. When the exhaust duct A was 3.0m away from the floor of the roadway, CA=3.0m, and when the exhaust duct B was 4.0m away from the left wall of the roadway, CB=4.0m, the average dust concentrations at the driver’s location, the front of the tunnel, and the back of the tunnel were 45.62, 164.58, and 5.21mg/m3, respectively. Compared with single pressure-entry type ventilation, the dust prevention effect of the system improved by 86.55%, 40.88%, and 97.76%, respectively, and this installation position was determined to be the optimal position for dust removal.

Unifying Theory and Experiments: Multi-Target Pharmacology of Dajihan Pill Against Hyperlipidemia

Background: The increasing incidence of hyperlipidemia (HLP) is attributed to the imbalance in redox homeostasis, aberrant lipid metabolism, and the excessive intake of empty calories. Dajihan Pill (DJHP) is a Traditional Chinese Medicine (TCM) formula composed of Zingiberis Rhizoma (ZR), Piperis Longi Fructus (PLF), Alpiniae Officinarum Rhizome (AOR), and Cinnamomi Cortex (CC) in a ratio of 3:2:3:2. It exhibits a significant preventive effect on HLP. Certainly, the active components and the precise mechanism of action are not fully understood. Therefore, this study aims to elucidate the preventive and ameliorative mechanisms of DJHP against HLP by integrating network pharmacology, molecular docking, and experimental validation. Methods: Based on the pharmacological method, active ingredients in DJHP and targets were extracted from Traditional Chinese Medicine System Pharmacology (TCMSP) and UniProt. Then core compounds and targets were obtained by constructing “compounds-targets-disease” and proteinprotein interaction (PPI) network. Gene Ontology (GO) function analysis and Kyoto Encyclopedia of Genes and Genomes (KEGG) were employed to elucidate further the associated action mechanism. The molecular binding mechanisms between the core ingredients and targets were elucidated through molecular docking. Additionally, the antioxidant capacities of DJHP extracts were investigated by assessing their DPPH, hydroxyl, and ABTS radical scavenging activities. Results: A total of 45 active compounds and 258 targets were identified in DJHP. Network analysis indicated that quercetin, beta-sitosterol, kaempferol, and oleic acid might serve as core bioactive compounds. Seven core targets, including AKT1, INS, and TNF, were identified as potential preventive targets. GO analysis suggested the improvement of HLP by DJHP may be related to the lipid metabolic process, high-density lipoprotein particle, triglyceride binding, and inflammatory response. The KEGG analysis indicated TNF, HIF-1, and AMPK signaling pathways were involved. The observations of active compounds binding with core targets indicated an excellent combination. Additionally, antioxidant results showed that DJHP exhibited significant DPPH, hydroxyl, and ABTS radical scavenging activities. Conclusion: Theoretical and experimental investigations indicate that DJHP can effectively modulate various signaling pathways and enhance the redox system, thus mitigating HLP. Our work provided a basis for the pharmacological study of DJHP in preventing HLP and further research.

Exploring potentials of Electuaries for Controlling Chronic Respiratory Diseases in Unani Medicine: A Systematic Review

Background: Chronic respiratory diseases rate has been increasing alarmingly, causing huge burden on the mortality and morbidity. Environmental pollution and occupational exposure, the major identified risk factors and endless adverse effects of conventional medicine put forward the need for better alternative options. Electuaries are the pharmaceutical formulation of poly herbal drugs that are employed as effective remedy for respiratory disorders in Unani system of medicine. Objective: The aim is to assess the effectiveness of Unani pharmaco-therapeutics in the management of various respiratory diseases and the computation of drug/water and drug/sugar ratio for the elaborated electuaries. Methods: A web-based review on certain selected Unani drugs and its molecular mechanism was carried out using the data bases such as Pub Med, Google Scholar, Science Direct and Scopus published until the end of June 2022. Results: It was observed that several single drugs such as Khayarshambar (Cassia fistula L.), Sapistan (Cordia dichotama Forst), Asl-us- Soos (Glycyrrhiza glabra L.), Khatmi (Althea officianialis L.), Za’fran (Crocus sativus L.), Behīdāna (Cydonia oblonga Mill.) etc. used in Unani formulations claimed to be effective in management of respiratory diseases like COVID 19. The herbs and its chemical constituents showed the preventive effect on respiratory diseases with inflammatory cell mediators, lung pathologies, airway response and immunomodulatory effects. The results of research studies (preclinical, clinical or in silico) and their molecular mechanisms on Electuaries have proved to be optimal for the respiratory system. Conclusion: Unani poly-pharmaceutics showed anti-inflammatory, anti-viral, anti-bacterial, anti-allergic, anti- tussive, mucolytic actions arresting respiratory diseases.

Insights into the modulatory effects of host-gut microbial xanthine co-metabolism on high-fat diet-fed mice.

Gut microbiota-mediated endobiotic and xenobiotic metabolism play crucial roles in disease progression, and drug therapy/toxicity. Our recent study suggested that gut microbiota-mediated xanthine metabolism is correlated with resistance to high-fat diet (HFD)-induced obesity. Here, we explored the role of host-gut microbial xanthine co-metabolism in the prevention and treatment of HFD-induced obesity by orally administration of Bifidobacterium longum, xanthine, and a xanthine oxidase inhibitor (topiroxostat). The findings indicate that xanthine exhibits a significantly protective effect against HFD-induced obesity. While B. longum, xanthine, and topiroxostat did not alleviate the dysbiosis of the weight and glucose metabolism of HFD-induced obesity (DIO) and obesity resistance (DIR) mice. 16S rRNA sequencing analyses revealed that treatments with B. longum significantly altered gut microbiota composition in HFD-fed and DIO mice. Microbial interaction network analysis revealed several Bacteroidetes species, such as Amulumruptor caecigallinarius and Muribaculum intestinale, as keystone taxa that were notably enriched by B. longum. Untargeted metabolomics analysis implied that xanthine might serve as a crucial molecule in regulating body weight, exerting a preventive effect on HFD-induced obesity. This study offers new perspectives on the influence of host-gut microbial xanthine co-metabolism on HFD-fed mice and emphasizes the promising role of xanthine in promoting weight loss.

Targeting gut microbiota and metabolism profiles with coated sodium butyrate to ameliorate high-energy and low-protein diet-induced intestinal barrier dysfunction in laying hens

High energy diet are a risk factor for intestinal barrier damage. Butyrate, a major energy source for intestinal epithelial cells, has been shown to improve barrier dysfunction and modulate the gut microbiota. In this trial, we examined the preventative effect of coated sodium butyrate (CSB) on high-energy low-protein (HELP)-induced intestinal barrier injury in laying hens, and also worked to determine the underlying mechanisms by an integrative analysis of gut microbiota and the metabolome. A total of 216 healthy 28-weeks-old Huafeng laying hens were randomly assigned to 3 groups with 6 replicates each: the CON group (normal diet), HELP group (high-energy and low-protein diet) and CH500 group (500 mg/kg CSB added to HELP diet). The duration of the trial encompassed a period of 10 weeks. The results revealed that CSB treatment improved the laying rate (P<0.05) and mitigated the detrimental effects on intestinal barrier function and the inflammatory response induced by the HELP diet in laying hens (P<0.05). Microbial profiling analysis revealed that the CSB treatment reshaped the HELP-perturbed gut microbiota, and promoted the growth of beneficial bacteria (P<0.05). Untargeted metabolomics analysis revealed that CSB reduced the metabolites associated with intestinal inflammation (P<0.05). In conclusion, CSB did not merely modulate alterations in the gut microbiota composition and microbial metabolites but also yielded increased egg production, while mitigating intestinal barrier dysfunction and inflammatory responses induced by HELP in laying hens.

Preventive effect of probiotics on infections following colorectal cancer surgery: An umbrella meta-analysis

BACKGROUND Postoperative infections remain a significant source of morbidity among patients undergoing colorectal cancer (CRC) surgery. While probiotics have been proposed as a potential strategy to mitigate the risk of these infections, contemporary meta-analyses have produced conflicting findings. AIM To synthesize the available evidence regarding the prophylactic efficacy of probiotics in preventing infections following CRC surgery. METHODS A comprehensive search of PubMed and Scopus was conducted to identify relevant meta-analyses published up to February 2024. To assess the efficacy of probiotics on outcomes, relative risks (RR) and their corresponding 95%CI were pooled using a random effects model. RESULTS This comprehensive umbrella meta-analysis integrated eleven meta-analyses encompassing 11518 participants who fulfilled the inclusion criteria. Probiotics administration resulted in a statistically significant reduction in the incidence of total infections (RR: 0.40, 95%CI: 0.31-0.51; moderate certainty), surgical site infections (RR: 0.56, 95%CI: 0.49-0.63; high certainty), pneumonia (RR: 0.38, 95%CI: 0.30-0.48; high certainty), urinary tract infections (RR: 0.44, 95%CI: 0.31-0.61; moderate certainty), bacteremia (RR: 0.41, 95%CI: 0.30-0.56; high certainty), and sepsis (RR: 0.35, 95%CI: 0.25-0.44; high certainty). However, probiotics did not significantly affect intra-abdominal, central line, or peritoneal infections. CONCLUSION Probiotics have demonstrated potential in mitigating postoperative infectious complications among patients undergoing CRC surgery.

Perioperative administration of sub-anesthetic ketamine/esketamine for preventing postpartum depression symptoms: A trial sequential meta-analysis

Objective Postpartum depression (PPD) is a major mental health issue affecting 10%–15% of women globally. This meta-analysis synthesized updated evidence on sub-anesthetic ketamine/esketamine’s efficacy in preventing PPD. Methods Randomized controlled trials (RCTs) comparing ketamine/esketamine to a placebo for PPD prevention were searched without language restriction. Primary outcomes were PPD risk at 1- and 4–6-week postpartum. Secondary outcomes included the difference in depression scores and risk of adverse events. Trial sequential analysis (TSA) was conducted to validate the reliability. Results A meta-analysis of 22 RCTs (n = 3,463) showed that ketamine/esketamine significantly decreased PPD risk at 1- (risk ratio [RR], 0.41; 95% confidence interval [CI], 0.3–0.57) and 4–6-week (RR, 0.47; 95%CI, 0.35–0.63) follow-ups. Consistently, participants receiving ketamine/esketamine had lower depression-related scores at 1- (standardized mean difference [SMD], −0.94; 95%CI, −1.26 to −0.62) and 4–6-week (SMD, −0.89; 95%CI, −1.25 to −0.53) follow-ups. Despite potential publication bias, TSA confirmed the evidence’s reliability. Subgroup analysis showed that ketamine/esketamine’s preventive effect on 1-week PPD was consistent, regardless of administration timing, type of agents, or total dosage (&lt;0.5 vs. ≥0.5 mg/kg). For the 4–6-week period, PPD risk was favorably reduced only with postoperative administration or the use of esketamine, with the total dosage having no observed influence. Participants on ketamine/esketamine experienced more frequency of hallucinations (RR, 4.77; 95%CI, 1.39–16.44) and dizziness (RR, 1.36; 95%CI, 1.02–1.81). Conclusion Our findings advocate for the postoperative administration of low-dose ketamine/esketamine to avert PPD, which needed additional research for confirmation.

Clinical Pharmacology of Cytokine Release Syndrome with T-cell Engaging Bispecific Antibodies: Current Insights and Drug Development Strategies

Abstract Cytokine release syndrome (CRS) is a common acute toxicity in T-cell therapies, including T-cell engaging bispecific antibodies (T-BiSp). Effective CRS management and prevention is crucial in T-BiSp development. Required hospitalization for 7 of the 9 approved T-BiSp and the need for clinical intervention in severe cases highlight the importance of mitigation strategies to reduce healthcare burden and improve patient outcome. In this review, we discuss the emerging evidence on CRS mitigation, management, and prediction. We cover different strategies for dose optimization, current and emerging (pre)treatment strategies, quantitative pharmacology tools employed during drug development, and biomarkers and predictive factors. Insights are gleaned on step-up dosing and formulation effects on CRS and CRS relationships with cytokine dynamics and drug levels gathered through review of T-BiSp licensing applications and emerging data from conferences and publications.

Integrating Multi-Source Remote Sensing Data for Forest Fire Risk Assessment

Forest fires are a frequent and destructive phenomenon in Southwestern China, posing significant threats to ecological systems and human lives and property. In response to the growing need for effective forest fire prevention, this study introduces an innovative method for predicting and assessing forest fire risk. By integrating multi-source data, including optical and microwave remote sensing, meteorological, topographic, and human activity data, the approach enhances the sensitivity of risk models to vegetation water content and other critical factors. The vegetation water content is derived from both Vegetation Optical Depth and optical remote sensing data, allowing for a more accurate assessment of changes in vegetation moisture that influence fire risk. A time series prediction model, incorporating attention mechanisms, is used to assess the probability of fire occurrence. Additionally, the method includes fire spread simulations based on Cellular Automaton and Monte Carlo approaches to evaluate potential burn areas. This combined approach can provide a comprehensive fire risk assessment using the probability of both fire occurrence and potential fire spread. Experimental results show that the integration of microwave data and attention mechanisms improves prediction accuracy by 2.8%. This method offers valuable insights for forest fire management, aiding in targeted prevention strategies and resource allocation.

Designing a Multitemporal Analysis of Land Use Changes and Vegetation Indices to Assess the Impacts of Severe Forest Fires Before Applying Control Measures

Forest fires represent a significant intersection between nature and society, often leading to the loss of natural resources, soil nutrients, and economic opportunities, as well as causing desertification and the displacement of communities. Therefore, the objective of this work is to analyze the multitemporal conditions of a sixth-generation forest fire through the use and implementation of tools such as remote sensing, photointerpretation with geographic information systems (GISs), thematic information on land use, and the use of spatial indices such as the Normalized Difference Vegetation Index (NDVI), the Normalized Burned Ratio (NBR), and its difference (dNBR) with satellite images from Sentinel-2. To improve our understanding of the dynamics and changes that occurred due to the devastating forest fire in Los Guájares, Granada, Spain, in September 2022, which affected 5194 hectares and had a perimeter of 150 km, we found that the main land use in the study area was forest, followed by agricultural areas which decreased from 1956 to 2003. We also observed the severity of burning, shown with the dNBR, reflecting moderate–low and moderate–high levels of severity. Health and part of the post-fire recovery process, as indicated by the NDVI, were also observed. This study provides valuable information on the spatial and temporal dimensions of forest fires, which will favor informed decision making and the development of effective prevention strategies.

Analysis of Burn Casualties in the Swords of Iron War

Abstract The Swords of Iron (SOI) War is an armed conflict between Israel and Hamas, which has been taking place in Gaza from October 2023 until the present time of writing this article. This war is characterized by urban close contact combat. The combat equipment, weaponry, and protective measures employed, differ markedly from those in previously documented major conflicts, significantly impacting the types of injuries sustained by soldiers. This study examines the number of injured soldiers in combat, field mortality rates, incidence of burns and trauma, demographic details of the injured, causes and distribution of injuries, burn characteristics, hemodynamic status, and injury severity. This is a retrospective, registry-based cohort study. Military personnel treated by IDF medical teams with burn injuries from the ground maneuver in Gaza between October 27th, 2023 to April 2024 were included in the analysis. Diagnosis of burn injuries was made in the prehospital setting and recorded in the patient’s casualty cards and the IDF trauma registry and/or in the hospitals, and then recorded by the Israel National Trauma Registry. A total of 2,627 documented military personnel were included. Of them, there was a total of 249 burn casualties. They were all male combat soldiers and their mean age was 22 years. Most of the burn injuries were combined with other injuries, only 12% were defined as in shock state, and 14% received whole blood in the field. The burn degree was second and third degree for most cases. A third (34%) of burn injured soldiers had surgery (Table 2), and half of the total were sent to rehabilitation departments following their initial hospitalization. An analysis of total body surface area (TBSA)% affected by burns among SOI War casualties reveals a higher proportion of severe burns exceeding 20% TBSA, compared to previous conflicts. Additionally, a higher proportion of personnel suffered from second and third degree burns. This is likely attributed to the operational mode of the IDF in Gaza, where urban close-contact warfare exposes soldiers to heightened risks of explosive and blast injuries. A significant percentage of live casualties had TBSA percentages that were not life-threatening, which underscores the importance of updating emergency burn treatment protocols and employing rapid evacuation and medical response systems in the field. Most of the wounded that suffer from significant burns had other significant and life-threatening injuries, making the appropriate protective measures and the preparation for rapid evacuation the best way to improve burn casualty survival. The significance of this research lies in the timely analysis of accumulated combat data to derive lessons and conclusions relevant to ongoing and future conflicts, and to understand the clinical implications arising from combat situations. Given the relatively high prevalence of burn injuries, understanding their etiology, severity, and consequences is essential for developing effective prevention and treatment courses.

Allergens Causing Allergic Contact Dermatitis in Cosmetic Products: A Systematic Review

Background: The increasing use of cosmetics worldwide has led to a rise in allergic reactions, particularly due to inadequate risk assessment. Identifying common allergens in cosmetic products causing dermatitis is crucial for effective prevention and management strategies. Objectives: This systematic review aims to determine the list of allergens that most commonly cause allergic contact dermatitis in cosmetic products and to find the patch test positivity rate for cosmetic products. Methods: This systematic review, following the PRISMA guidelines, investigated patch test results on cosmetic-induced contact dermatitis from January 2013 to September 2023 on PubMed, Cochrane, and Medline databases. Inclusion criteria comprised retrospective cohort and clinical trial studies reporting patch test positivity rates and positive allergens in cosmetics, with eligibility determined through independent screening, full-text evaluation, and data extraction. Exclusion criteria comprised abstract-only publications, non-English or Indonesian languages, review articles, and studies with incomplete text. Result: 13 studies were included out of 2,162 initially screened articles, involving 111,097 participants. The selected studies encompassed ten retrospective studies and three clinical trials conducted in various locations, including India, Brazil, North America, Korea, Sweden, and the Czech Republic. The patch test positivity rate ranged from 13% to 100%. The predominant allergens identified in cosmetics were nickel sulfate, fragrance mix I, cobalt chloride, para-phenylenediamine base, potassium dichromate, and balsam of Peru. Conclusion: This systematic review highlights the diversity in patch test positivity rates and identifies key allergens responsible for allergic contact dermatitis in cosmetic products, emphasizing the need for comprehensive evaluation and awareness of cosmetic safety.

Personality and Psychoneuroimmunology: A Systems Biology Perspective.

Research in psychoneuroimmunology (PNI) underscores the intricate connections within the "whole mind-body system." Personality plays a pivotal role, with specific traits linked to stress influencing neural behavior and psychophysiological disorders. Gene expression networks associated with personality affect neuronal plasticity, epigenetic processes, and adaptive behaviors, highlighting the importance of systems biology mechanisms. Systemic inflammation correlates with key personality traits. Understanding the roles of inflammatory and oxidative biomarkers in personality traits and disorders can help identify diagnostic and therapeutic targets for various diseases. Neurobiological features contribute to our understanding of personality disorders and related conditions. Personality traits are linked to distributed neuroendocrine networks, particularly the hypothalamic-pituitary-adrenal (HPA) axis, rather than localized brain areas. Correlations have also been identified between personality traits and thyroid hormones. Disrupted hypothalamic-pituitary-thyroid (HPT) axis functions may be associated with disease severity, depression, and distress, highlighting the need for comprehensive endocrinological and psychopathological evaluations. The gut-brain axis influences personality traits, emotions, stress, and social behaviors. Altered gut microbiota is common in psychiatric conditions, suggesting potential treatments targeting the microbiota. Chronic stress impacts cognitive functions and correlates with personality and mental health, emphasizing the need for comprehensive, multi-dimensional patient profiles for effective prevention and therapy. A biopsychosocial model integrating personality traits will advance personalized and systems medicine.