Potential Disease Risk Research Articles

Sustainability of Hunting in Community-Based Wildlife Management in the Peruvian Amazon

Conservation strategies that use sustainable use of natural resources through green-labelled markets generally do not recognize the legal sale of wild meat as appropriate due to potential overexploitation and zoonotic disease risks. Wildlife hunting is important to the livelihoods of rural communities living in tropical forests for protein and income. Wildlife management plans in the Peruvian Amazon permit hunting of wild meat species for subsistence and sale at sustainable levels, that include peccaries, deer, and large rodents. These species have fast reproduction making them less vulnerable to overhunting than other species. This study assessed the sustainability of a wildlife management plan. Populations of species were estimated using camera traps and distance transect surveys, and sustainability analysis used hunting pressure from community hunting registers. Interviews were conducted to understand hunters, perceptions of the management plan. Long-term time-series showed increases in collared peccary (3.0 individual/km2 to 5.41 individual/km2) and white-lipped peccary (3.50 individual/km2 to 7.00 individual/km2) populations and short-term time series showed a decline in paca populations from 8.5 individual/km2 to 3.01 individual/km2. The unified harvest analysis showed permitted species populations were greater than 60% of their carrying capacities and hunted at less than 40% of their production, which shows sustainable hunting. The wildlife management plan achieved its general objective of sustainable hunting and improving livelihoods. The broader question is whether sustainable wildlife use plans that allow Amazonian communities to sell limited amounts of wild meat can be a way to change illegal wild meat trade to a legal, green labelled trade with added value.

Posterior Ligamentum Complex Preservation Alleviate ASD-Related Biomechanical Deterioration in Lumbar Interbody Fusion Models: A Finite Element Analysis.

There are differences in the extent of excision of articular processes, spinal processes and posterior ligamentum complexes (PLC) for posterior approach lumbar interbody fusion. Given that the biomechanical significance of these structures has been verified and that deterioration of the biomechanical environment is the main trigger for complications in both fused and adjacent motion segments, changes in decompression ranges may affect the potential risk of adjacent segmental disease (ASD) biomechanically; however, this topic has yet to be identified. Posterior lumbar interbody fusion (PLIF) with different decompression strategies was simulated in a well-validated lumbosacral model. The excision and preservation of the cranial motion of the segmental PLC and the lateral articular process in the fusion segment were simulated in this model. The stress distribution in the cranial motion segment was computed under different loading conditions to determine the potential risk of ASD. Compared to complete bilateral articular process excision, preservation of the lateral two-thirds of the articular process did not alleviate stress concentration on the cranial motion segment both in PLC preserved and excised models. In contrast, preservation of the cranial segmental PLC can obviously alleviate the stress concentration tendency of the cranial intervertebral disc under flexion loading conditions. Preservation of the lateral parts of the articular process cannot optimize the biomechanical environment, in contrast, PLC preservation can effectively alleviate ASD related biomechanical deterioration of the cranium segment.

Probing the potential mechanism of permethrin exposure on Alzheimer's disease through enantiomer-specific network toxicology, multi-spectroscopic, and docking approaches

Latest observations indicated that exposure of organic environmental neurotoxins may increase the potential risk of Alzheimer's diseases (AD). As a suspected food-derived risk factor, permethrin, composed of cis-isomer and trans-isomer, is widely used as a broad-spectrum pyrethroid insecticide in agricultural crops for the arthropod pests controlling. Thus, evaluating the impact of permethrin exposure is of great importance to human health. In this study, we performed the toxicological network approach to decipher AD-related mechanisms of cis-permethrin and trans-permethrin. Based on the toxicological network construction and central network topological analysis, human serum albumin (HSA) was selected as the core targets in AD-related developing. From the analysis of the steady state and time-resolved fluorescence quenching of HSA in presence of permethrin mixture, it has been inferred that the nature of the quenching mainly originates from the dynamic modes. Experimentally, the thermodynamic parameters revealed hydrophobic interactions and van der Waals forces played a major role during quenching process. Tryptophan synchronous fluorescence spectra were blue shifted whereas the position of tyrosine synchronous spectra was red shifted during the complex formation. Three-dimensional fluorescence together with FT-IR experiment confirmed that permethrin caused the secondary structure changes in HSA. To better understand the binding patterns between HSA and cis/trans -permethrin, theoretical calculation and molecular docking were implemented. According to the electrostatic potential map, the electrophilic attack region corresponds for electron rich oxygen atoms, while the nucleophilic attack regions were mainly located at over the benzene rings and methyl on cyclopropane ring of permethrins. Docking results shown that cis-permethrin and trans-permethrin located in hydrophobic pocket nearby Domain IIA with the different binding affinity (−7.6 and −9.2 kcal/mol), which consistent with the competitive displacement experiment. All these findings generated in the present study facilitated the elucidation of the molecular mechanism details between permethrin mixture and HSA, which provided fresh insights into the links between environmental exposure and AD-related adverse health outcomes.

Klasifikasi Penyakit Demam Berdarah Dengue dengan Menggunakan Algortima K-Mens

Dengue fever (DHF) is an infectious disease caused by the dengue virus and transmitted through the bite of the Aedes aegypti mosquito. This disease is a major health problem in many tropical countries, including Indonesia. Identification and classification of DHF patients is very important to prevent further spread and to provide appropriate medical treatment. In this study, the classification of DHF disease is carried out using the K-Means algorithm, which is one of the methods in machine learning used to classify data based on similarity of features. This study aims to apply the K-Means algorithm in classifying DHF cases based on data on symptoms that appear in patients, such as high fever, joint pain, skin rashes, and others. The data used includes patient medical records that record various clinical and demographic parameters. The K-Means algorithm is used to group the data into clusters that describe the severity category or potential risk of dengue disease. The results showed that the K-Means algorithm can be used to cluster DHF patients well, with the division of groups that can describe the severity of the disease. Evaluation was conducted using metrics such as silhouette and cluster validity to assess the effectiveness of the algorithm in performing classification. This model is expected to help medical personnel in decision-making, provide early warning, and improve rapid response to dengue cases.

A Novel Strain Burkholderia theae GS2Y Exhibits Strong Biocontrol Potential Against Fungal Diseases in Tea Plants (Camellia sinensis).

Tea plants (Camellia sinensis) are widely cultivated cash crops. However, fungal diseases lead to significant reductions in both the yield and quality of tea. Therefore, searching for economical, eco-friendly, and efficient biological control measures is crucial for protecting tea plants from pathogenic fungi. The confrontation assays were performed to identify the antagonistic bacteria against tea pathogenic fungi and evaluate the antifungal activity of these bacteria. Here, three tea pathogenic fungi were identified: Colletotrichum siamense HT-1, Diaporthe phaseolorum HT-3, and Fusarium fujikuroi HT-4. Notably, D. phaseolorum was the first to be reported in tea plants in China. Some tea pathogenic fungi showed a high relative abundance, suggesting a potential disease risk in tea plantations. Strain GS2Y, isolated from tea rhizosphere soil, exhibited strong antifungal activity against tea pathogenic fungi and represented a novel species within the genus Burkholderia, designated as Burkholderia theae. GS2Y could directly inhibit tea pathogenic fungi by disrupting the cellular structures and protect tea plants from fungal diseases caused by C. siamense HT-1 and D. phaseolorum HT-3. B. theae GS2Y might function as a potentially valuable resource for biocontrol agents, laying the foundation for the development of strategies to manage fungal diseases in tea plants.

Coinfection with Orthohantavirus and Leptospira spp. in Rats Collected from Markets in Indonesia.

Background: Rats are an important reservoir animal for several zoonotic pathogens worldwide, including hantaviruses and Leptospira spp., which are the causative agents of hemorrhagic fever with renal syndrome, hantavirus cardiopulmonary syndrome, and leptospirosis. Although a previous study indicated a high frequency of antihantaviral antibodies in patients with acute fever in Indonesia, circulating hantaviruses and their reservoir animals in the country remain limited. Materials and Methods: The presence of hantavirus in rats captured in the urban area of Bogor, Indonesia, from which Leptospira spp. were isolated using PCR, followed by DNA sequencing. Immunohistochemical analyses were performed to detect hantaviral and leptospiral antigens in rat kidney tissues. Results: Seoul of Orthohantavirus seoulense (SEOV) RNA was detected from 24 of 80 Rattus norvegicus (30%). SEOV and Leptospira coinfection was detected in 10 of 80 rats (12.5%). Immunohistochemistry revealed that hantavirus antigens were positively stained in the interstitial capillaries and cells, whereas Leptospira antigens were stained in the luminal side of the renal tubules. Conclusion: This study revealed a high prevalence of SEOV and SEOV and Leptospira coinfection among rats in the urban areas of Bogor, Indonesia, indicating a potential risk of rat-borne zoonotic diseases in the area.

Effect of Bis (methyl glycol) phthalate on endoplasmic reticulum stress in endothelial cells

Phthalate-based polymeric plasticizers are widely used for their durability, transparency, and odorless nature, resulting in human exposure through inhalation, ingestion, or contaminated water. Epidemiological studies have identified bis-phthalate as a potential cardiovascular disease risk factor, though its mechanisms remain unclear. This study investigates the effects of bis-phthalate on endothelial dysfunction (ED), an early event in cardiovascular complications, with a focus on Endoplasmic Reticulum (ER) stress pathways. We observed dose- and time-dependent cytotoxicity in endothelial cells exposed to bis-phthalate, accompanied by elevated expression of ER stress markers (GRP78, IRE-1α, CHOP) and oxidative stress markers (TXNIP, P22phox), as measured by qPCR. Reactive oxygen species (ROS) levels also increased dose-dependently, as determined by H2DCFDA using flow cytometry. These findings suggest that bis-phthalate exposure induces both oxidative and ER stress, leading to the development of ED, providing insights into its potential role in cardiovascular disease progression.

Isolation and identification of major cockroaches associated pathogenic bacteria in Bonga town, Ethiopia

Cockroaches are a reservoir of various pathogenic microorganisms that pose a significant risk to public health because of unsanitary living spaces, poor waste management, inappropriate food storage, limitations of public health guidelines, and education on hygiene practices. The aim of this study was to isolate and identify major pathogenic bacteria associated with cockroaches in Bonga Town, Kaffa Zone. A total of 300 cockroaches were collected from Restaurants, Houses, and Hospitals, with 100 specimens from each location. The collected cockroaches were then subjected to microbiological analysis in the laboratory to identify potential bacterial pathogens. The cockroaches were killed using cotton-soaked chloroform, surface-sterilized using 70 % ethanol, and dissected aseptically. The cockroaches were added to 2 mL of sterile normal saline and shaken thoroughly for two minutes. The cockroaches were taken out of the tubes, and the remaining liquid was centrifuged at 2000 rpm for 10 minutes. The supernatants were then removed, and the remaining sediments were used for culture. In each tube, a fixed volume of 1 mL of the sediments was cultured on various culture media separately. Different species of bacteria with similar morphological characteristics were identified on the external and internal surfaces of the cockroaches. These results indicate the morphological characteristics of the colonies grown on each agar plate in different settings (Hospital, Restaurants and Households). The specific characteristics of the colonies can help in identifying different bacterial species. The isolated pathogens were then identified using standard microbiological techniques, including gram staining, morphology, microscopic slides, and biochemical tests. The results revealed the presence of bacterial pathogens, including E. coli, Salmonella, Pseudomonas, Staphylococcus spp., Shigella spp., and Proteus spp. The bacterial species were predominantly found in Households and Hospital areas, while fewer were found in restaurant areas. The presence of these pathogenic bacteria in cockroaches highlights the potential risk of food contamination and subsequent human diseases. Therefore, further analysis and characterization of these pathogenic bacteria should be done at the molecular level, and more clinical evaluation must be undertaken after the final identification and characterization.

Projected distribution shifts of resident monarch butterflies and consequences for migratory monarchs

The charismatic migratory populations of monarch butterflies have declined precipitously in North America. A contributing threat might be the expansion of winter breeding populations in the southern portions of their historical eastern and western summer breeding ranges. Recent research suggests individuals from winter breeding populations are prone to high parasite burdens, resulting in lower fitness compared to migratory counterparts. Temporal and spatial overlap between these individuals and migratory monarchs in both fall and spring mean that interbreeding and use of the same host plants could result in transfer of parasites, especially the debilitating neogregarine Ophryocystis elektroscirrha, increasing the parasite load in migrating populations. We aimed to predict how climate change could affect the distribution of winter breeding monarchs in North America. We used ecological niche modeling of monarch larval observations for winter and current climate data to predict the current and future distributions of winter breeding monarchs across North America. Our analyses predict up to a 38% and 160% increase and a 574 and 340 km northward shift in suitable area for winter breeding monarchs in response to climate change by 2100 for eastern and western migratory populations, respectively. Our results support concerns over potential risk of disease spread from resident monarchs to the migratory monarch populations. In both eastern and western migratory populations this is due to an increase in overlap between the resident population and the areas through which the migratory populations travel during fall and spring migrations. Our results support calls for controlling the spread of non-native tropical milkweed, as winter breeding monarchs depend on this plant for reproduction.

Multifocal Intracranial Stenosis and Thunderclap Headache in a Patient with Heterozygous MFAP5 Mutation for Familial Thoracic Aortic Aneurysm and Dissection

Recent investigations on familial thoracic aortic aneurysm and dissection (TAAD) identified several genetic variants. Meanwhile, intracranial vasculopathy in familial TAAD has been scarcely reported. We report a case of a young man with Marfanoid habitus and familial TAAD carrying MFAP5, c.472C>T variant. He presented with recurrent thunderclap headache and multifocal intracranial vasculopathy, which is predominantly suggestive of reversible cerebral vasoconstriction syndrome. While the role of MFAP5 in vasculopathy requires clarification, we propose its haploinsufficiency may contribute to both TAAD and intracranial stenosis, highlighting a potential risk of cerebrovascular disease in familial TAAD.

Tensor cardiography: A novel ECG analysis of deviations in collective myocardial action potential transitions based on point processes and cumulative distribution functions.

To improve clinical diagnoses, assessments of potential cardiac disease risk, and predictions of lethal arrhythmias, the analysis of electrocardiograms (ECGs) requires a more accurate method of weighting waveforms to efficiently detect abnormalities that appear as minute strains in the waveforms. In addition, the inverse problem of estimating the myocardial action potential from the ECG has been a longstanding challenge. To analyze the variance of the ECG waveforms and to estimate collective myocardial action potentials (APs) from the ECG, we designed a model equation incorporating the probability densities of Gaussian functions of time-series point processes in the cardiac cycle and dipoles of the collective APs in the myocardium. The equation, which involves taking the difference between the cumulative distribution functions (CDFs) that represent positive endocardial and negative epicardial potentials, fits both R and T waves. The mean, standard deviation, weights, and level of each cumulative distribution function (CDF) are metrics for the variance of the transition state of the collective myocardial AP. Clinical ECGs of myocardial ischemia during coronary intervention show abnormalities in the aforementioned specific elements of the tensor associated with repolarization transition variance earlier than in conventional indicators of ischemia. The tensor can be used to evaluate the beat-to-beat dynamic repolarization changes between the ventricular epi and endocardium in terms of the Mahalanobis distance (MD). This tensor-based cardiography that uses the differences between CDFs to show changes in collective myocardial APs has the potential to be a new analysis tool for ECGs.

Recommendations for the selection of nucleoside analogues as antihuman herpesvirus drugs: a real-world analysis of reported cases from the FDA adverse event reporting system

ABSTRACT Objective The aim of this study is to provide guidance for refining medication protocols, developing alternative strategies, and enhancing protection against herpesvirus infections in personalized clinical settings. Methods Adverse drug events (ADEs) data for anti-herpesvirus from the first quarter of 2004 to the fourth quarter of 2022 were collected from the FDA Adverse Event Reporting System (FAERS). Disproportionality analysis was performed using Reporting Odds Ratio (ROR), Proportional Reporting Ratio (PRR), and Bayesian Confidence Propagation Neural Network (BCPNN) methods for data mining. Results A total of 18,591, 24,206, 6,150, and 419 reports of ADEs associated with acyclovir (ACV), valacyclovir (VACV), ganciclovir (GCV), and famciclovir (FCV) were screened and extracted from the FAERS. In this study, the report summarized the high frequency and strong correlation of ADEs for the four drugs at the Preferred Term (PT) level. Additionally, the analysis also identified the relationship between ADEs and factors such as age, gender, and severity of outcome at the System Organ Class (SOC) level. Conclusion The safety reports for the four-nucleoside analogue anti-herpesvirus drugs are diverse and interconnected. Dosing for patients with herpesvirus infections should be tailored to their specific conditions and the potential risk of disease.

Navigating the penetrance and phenotypic spectrum of inherited cardiomyopathies.

Inherited cardiomyopathies are genetic diseases that can lead to heart failure and sudden cardiac death. These conditions tend to run in families, following an autosomal dominant pattern where first-degree relatives have a 50% chance of carrying the pathogenic variant. Despite significant advancements and increased accessibility of genetic testing, accurately predicting the phenotypic expression of these conditions remains challenging due to the inherent variability in their clinical manifestations and the incomplete penetrance observed. This poses challenges in providing patient care and effectively communicating the potential risk of future disease to patients and their families. To address these challenges, this review aims to synthesize the available evidence on penetrance, expressivity, and factors influencing disease expression to improve communication and risk assessment for patients with inherited cardiomyopathies and their family members.

Effects of ACE inhibitor/ARB therapy and long COVID on kidney disease: a retrospective cohort study using real-world data.

The association between angiotensin-converting enzyme inhibitors (ACEIs) or angiotensin II receptor blockers (ARBs) and severe acute respiratory syndrome coronavirus 2 susceptibility, particularly via ACE-2 receptor upregulation in the kidneys, raises concerns about potential kidney disease risks in long coronavirus disease (COVID) patients. This study explores the association of ACEI/ARB therapy on acute kidney injury (AKI), chronic kidney disease (CKD) and all-cause mortality in patients with and without long COVID. A retrospective cohort study using TriNetX datasets was conducted, with diagnoses of long COVID via International Classification of Diseases, Tenth Revision (ICD-10) codes and prescription for ACEI/ARB as the classification of four cohorts: long COVID ACEI/ARB users (LCAUs), long COVID ACEI/ARB non-users (LCANs), non-long COVID ACEI/ARB users (NLCAUs) and non-long COVID ACEI/ARB non-users (NLCANs). Multivariable stratified Cox proportional hazards regression models assessed the adjusted hazard ratios (aHRs) across groups. Additional analyses were conducted, including time-dependent exposure analysis and comparison with an active comparator, calcium channel blockers. Our study included 18 168 long COVID and 181 680 propensity score-matched non-long COVID patients from October 2021 to October 2023. ACEI/ARB use did not significantly affect the risk of AKI or CKD when comparing LCAUs with LCANs and NLCAUs with NLCANs. However, a protective effect against all-cause mortality was observed {aHR 0.79 [95% confidence interval (CI) 0.65-0.93]} in the NLCAU group compared with the NLCAN group. Conversely, long COVID was associated with increased risks of CKD [aHR 1.49 (95% CI 1.03-2.14)] and all-cause mortality [aHR 1.49 (95% CI 1.00-2.23)] when comparing LCANs with NLCANs. The additional analyses support the primary findings. ACEI/ARB treatment does not increase the incidence of CKD or AKI, regardless of long COVID status. However, long COVID itself is associated with increasing risks of kidney diseases and all-cause mortality.

Molecular Identification of Ascomycetes from American Cranberry (Vaccinium macrocarpon Aiton) Grown in Plantation in Poland

The American cranberry is a perennial North American fruit plant that is grown successfully on commercial plantations in Poland. The purpose of this study was to recognize filamentous fungi that colonize roots, leaves, and fruits without visible disease symptoms. Pure fungal cultures were isolated from disinfected plant fragments in agar media and identified by sequencing common taxonomic DNA markers such as the ITS region, the TEF-1α, or RPB2 genes. Of the 141 isolates studied, 59% were identified as closely related to soil saprotrophs. They were classified primarily as showing the greatest similarity to type strains of Trichoderma amoenum, Trichoderma dorothopsis, Paraphaeosphaeria sporulosa, and Penicillium murcianum. Additionally, isolates that are most similar to strains of Penicillium crustosum, Aspergillus flavus, and Aspergillus versicolor that produced mycotoxins were detected. The fungi identified as closest to Alternaria geophila, Alternaria senecionicola, Paraphoma radicina, Pestalotiopsis unicolor, Pestalotiopsis scoparia, and Neopestalotiopsis spp., whose hosts are plants other than American cranberry, represented 33.81% of the isolates tested. Only 7.2% of the isolates corresponded to the species of Physalospora vaccinia, Diaporthe vaccinii, and Diaporthe eres, known cranberry pathogens. The results of this study can be used to identify latent plant infection and potential disease risks.

Prevalence and correlates of mental disorders among Chinese overseas students during the COVID-19: A multi-regional cross-sectional analysis.

The global impact of the COVID-19 pandemic extends beyond physical health, significantly affecting mental health. Chinese overseas students are particularly susceptible to the adverse psychological effects of the pandemic. Understanding the prevalence and correlates of mental disorders in this population is essential for developing targeted interventions and support systems. Employing a snowball sampling technique, this study recruited Chinese overseas students from diverse regions. The 50-item Self-evaluation Table was utilized to assess the presence of mental disorders. Descriptive statistics, including percentages, 95% confidence intervals, means, and standard deviations, characterized the survey population. The chi-square test identified disparities among categorical variables, while logistic regression explored risk factors for mental disorders among Chinese overseas students. Out of the total sample size of 10,864 Chinese overseas students, a staggering 7,090 (65.4%) met the diagnostic criteria for mental disorders. Furthermore, the degree of mental disorder varied significantly across different regions (p < 0.001), education levels (p < 0.05), the duration of anti-epidemic measures (p < 0.05), and age (p < 0.05), while no significant differences were observed in terms of gender (p > 0.05). Several risk factors contributing to the mental disorder burden among Chinese overseas students during the pandemic were identified, including the seriousness of the epidemic in their residential area, the apprehension of getting infected, anxieties regarding academic performance, the infection control policies implemented by the host government, preventive measures taken locally to counter the epidemic, and challenges encountered in returning to their home country. Given the significant challenges in mental health faced by Chinese overseas students during the COVID-19 crisis, addressing their specific needs and implementing tailored measures is imperative. Future public health emergencies should consider the potential mental disorders and disease risks faced by Chinese overseas students. By providing comprehensive support and targeted interventions, policymakers, educational institutions, and healthcare providers can help mitigate the adverse psychological effects and promote the well-being of this vulnerable population.

Identification of pathogenic-like fungal species on Akebia trifoliata fruit by integrating transcriptome analysis and specific sequences of putative pathogens

Large-scale cultivation of recently domesticated crops poses great potential disease risk, so rapid and comprehensive identification of pathogenic microbes is of great significance and value for the commercial development of wild plant resources. Akebia trifoliata is widely cultivated in various regions of China, although its domestication remains in the early stages. Here, to avoid large economic losses, we identified the pathogenic-like fungi of widely cultivated A. trifoliata based on causal relationship between pathogens and hosts such as discernible symptoms, fungal diversity and differentially expressed sequences in symptomatic and asymptomatic fruits. First, we observed partly discernible symptoms of four diseases (powdery mildew, anthracnose, fruit shrinkage and brown spot) by observing disease development in the field. Second, comparative analysis of the ITS sequences between the symptomatic and asymptomatic rind bulks suggested that Cercospora, Colletotrichum and Strelitziana could contain pathogenic-like fungi. Finally, interaction transcriptome sequencing afforded strong evidence for 20 pathogenic-like fungi associated with five reported diseases in A. trifoliata and other plants and seven putative unknown diseases, among which the pathogenic-like fungi causing anthracnose, powdery mildew and brown spot were the three top richness fungi in symptomatic fruit rind. This study provides a new strategy for the rapid identification of pathogenic-like fungi in plants and provides some reference for farmers to prevent and control A. trifoliata diseases.

Assessment of potential health risks associated with heavy metal concentrations in leafy vegetables in Kerman, Iran

ABSTRACT Despite the growing awareness of the nutritional benefits of leafy vegetables, there is a lack of information about the presence of heavy metals and the associated risks in these products. This study aimed to investigate the concentration of heavy metals in leafy vegetables in Kerman City. The research also assessed the intake of heavy metals and the associated drisks for children and adults who consume these vegetables. The study followed the recommended methods by the US Environmental Protection Agency (USEPA) to evaluate both carcinogenic and non-carcinogenic diseases. A total of 400 leafy vegetable samples, including parsley, coriander, Persian leek, and basil, were randomly collected from agricultural farms in the outskirts of Kerman City. The samples were analysed using a graphite furnace atomic absorption spectrometer to measure the concentrations of lead (Pb), cadmium (Cd), iron (Fe), and copper(Cu). The results revealed that the levels of heavy metals in leafy vegetable samples exceeded the recommended standards set by international organisations such as FAO/WHO, European countries, and Iran. The total target hazard quotient (THQ) for non-carcinogenic diseases resulting from the consumption of leafy vegetables was higher than one for both children and adults in all studied areas, indicating a potential risk of non-carcinogenic diseases associated with the consumption of these vegetables. Furthermore, the average Incremental Lifetime Cancer Risk (ILCR) resulting from exposure to agricultural soil through leafy vegetable consumption exceeded the hazardous and unacceptable range of 104− × 10−6 in both children and adults. This suggests the possibility of carcinogenic diseases caused by Pb and Cd through the consumption of leafy vegetables in all studied areas, with a higher overall risk observed in children compared to adults. In conclusion, while leafy vegetables are widely recognised for their nutritional benefits, our study underscores a critical gap in understanding the presence of heavy metals and the associated risks in these products. The findings reveal that the concentrations of heavy metals in leafy vegetables from Kerman City exceed international standards, posing potential health risks, particularly in children. Further research and regulatory actions are warranted to address this pressing issue and ensure the safety of our food supply.

Risk factors of adjacent-segment disease after short-segment fusion in patients with de novo degenerative lumbar scoliosis.

Short-segment fusion (SSF) is an effective surgical option for appropriately selected patients with de novo degenerative lumbar scoliosis (DNDLS). Considering that DNDLS is frequently accompanied by multisegment degeneration and potential instability across the entire lumbar segments, it is inevitable that unhealthy segments remain after SSF, thereby increasing the potential risk of adjacent-segment disease (ASD) occurrence. Therefore, the authors aimed to identify the risk factors for ASD in patients with DNDLS who underwent SSF. This retrospective study included 80 patients with DNDLS (Cobb angle > 10°) who underwent SSF (1 or 2 levels) between December 2010 and July 2018 with a minimum follow-up duration of 5 years. The participants were divided into two groups: ASD and non-ASD. ASD was defined as clinical ASD rather than radiographic ASD. Various patient and operative variables were compared between the groups. Global and regional radiographic parameters (preoperatively and postoperatively) were also compared between the two groups using plain radiography and MRI. Consequently, univariate and multivariate analyses were conducted to identify the risk factors for ASD occurrence. The receiver operating characteristic (ROC) curve was used to calculate the cutoff values. The mean ± SD age was 67.7 ± 7.2 years at the time of SSF, and there were 62 women (77.5%) enrolled in the study. Thirty patients (37.5%) were in the ASD group and 50 patients (62.5%) were in the non-ASD group. The mean time from the surgery to ASD diagnosis was 34.9 ± 28.2 months in ASD group. Thirteen patients required revision surgery at a mean time of 8.8 ± 7.0 months after ASD occurrence. Multivariate logistic regression analysis demonstrated that preoperative disc wedging angle (OR 1.806, 95% CI 1.255-2.598, p = 0.001), presence of facet tropism (defined as ≥ 10° difference between the facet joint angles of the right and left sides) (OR 5.534, 95% CI 1.528-20.040, p = 0.009), and foraminal stenosis ≥ grade 2 (OR 5.935, 95% CI 1.253-28.117, p = 0.025) were significant risk factors for ASD development. The cutoff value of the preoperative disc wedging angle was calculated to be 2.5° using the ROC curve. Preoperative disc wedging angle ≥ 2.5°, presence of facet tropism, and foraminal stenosis ≥ grade 2 were identified as significant risk factors for ASD development after SSF in patients with DNDLS.

Effects of gut bacterial community on differential growth of sea cucumber (Apostichopus japonicus): Molecular mechanisms based on host-gut microbiome co-metabolism

Gut microbiome and their metabolites are increasingly recognized for their pivotal role in regulating the health and growth of the host. The mechanism by which the host-gut microbiome co-metabolism affects the growth rate of sea cucumber (Apostichopus japonicus) remains unclear. In this study, the intestinal wall tissues of fast-growing (FG) and slow-growing (SG) A. japonicus were collected from the full-sib family for 16S amplicon sequencing, metagenomics, metabolomics, and transcriptomics analyses. The results showed a marked variation in the gut bacterial community of A. japonicus with different growth rates. Compared with SG group, FG A. japonicus had a higher abundance of Bacteroidetes. Many of these bacteria were associated with the degradation of polysaccharides, which could potentially affect growth performance. The abundance of Proteobacteria, however, was found to be higher in SG A. japonicus, thereby increasing the potential risk of disease. The metabolome results were further supported by the predicated KEGG functions of the gut microbiomes, lots of metabolites related to the metabolism and biosynthesis of fructose 6-phosphate, arachidonic acid, oleic acid, and dihydroxyacetone phosphate were upregulated in the FG A. japonicus. Furthermore, the genes (IGF1, HK, PK, PCK1) were significantly upregulated in the FG A. japonicus, which were mainly enriched in the metabolic pathways of lipids, amino acids, and carbohydrates. Gut bacterial community via their unique metabolic pathways, which in turn affected the metabolic phenotypes of the organism and eventually led to differences in growth performance of A. japonicus. These findings might help understand the molecular mechanisms of growth gap in sea cucumber, thereby increasing the mariculture production.