A comprehensive overview of omics-based approaches to enhance biotic and abiotic stress tolerance in sweet potato.

Biotic and abiotic stresses negatively affect the yield and overall plant developmental process, thus causing substantial losses in global sweet potato production. To cope with stresses, sweet potato has evolved numerous strategies to tackle ever-changing surroundings and biological and environmental conditions. The invention of modern sequencing technology and the latest data processing and analysis instruments has paved the way to integrate biological information from different approaches and helps to understand plant system biology more precisely. The advancement in omics technologies has accumulated and provided a great source of information at all levels (genome, transcript, protein, and metabolite) under stressful conditions. These latest molecular tools facilitate us to understand better the plant's responses to stress signaling and help to process/integrate the biological information encoded within the biological system of plants. This review briefly addresses utilizing the latest omics strategies for deciphering the adaptive mechanisms for sweet potatoes' biotic and abiotic stress tolerance via functional genomics, transcriptomics, proteomics, and metabolomics. This information also provides a powerful reference to understand the complex, well-coordinated stress signaling genetic regulatory networks and better comprehend the plant phenotypic responses at the cellular/molecular level under various environmental stimuli, thus accelerating the design of stress-resilient sweet potato via the latest genetic engineering approaches.

The Efficacy of Intercostal Nerve Block in the Management of Postoperative Pain After Costal Cartilage Harvest for Craniofacial Reconstruction Systematic Review and Meta-analysis.

INTRODUCTION: Autologous costal cartilage harvest is a common procedure in craniofacial reconstruction due to its stability, dependability, and diversity. However, such a procedure is associated with severe donor-site pain postoperatively. Therefore, we aim through this study to compare the efficacy of intercostal nerve block in the management of postoperative pain in patients undergoing costal cartilage harvest for craniofacial reconstruction. METHOD: This systematic review was reported according to the Preferred Reporting Items for Systematic Reviews and Meta-analysis (PRISMA) guidelines. The study systematically reviewed MEDLINE, Cochrane, and EMBASE databases without time-limitation. RESULTS: As a result of reviewing the literature, 33 articles were screened by full-text resulting in 14 articles which met our inclusion/exclusion criteria. However, only four high-quality RCT articles were included in the quantitative synthesis (meta-analysis). The findings of this study suggest that there is no significant difference in pain scores between ICNB and control groups at 12, 24, and 48 h postoperatively, both at rest and with coughing. Therefore, both techniques are considered safe and effective. CONCLUSION: Our results show evidence of favorable outcome of preventive donor-site analgesia with ICNB for harvesting autologous costal cartilage in multiple studies. However, the overall outcomes were insignificant between the two arms. NO LEVEL ASSIGNED: This journal requires that authors assign a level of evidence to each submission to which Evidence-Based Medicine rankings are applicable. This excludes Review Articles, Book Reviews, and manuscripts that concern Basic Science, Animal Studies, Cadaver Studies, and Experimental Studies. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266.

Sleep quality and associated factors among patients with chronic kidney disease in Nigeria: a cross-sectional study.

OBJECTIVE: Poor sleep quality adversely affects the overall well-being and outcomes of patients with chronic kidney disease (CKD). However, it has not been well studied in Africans with CKD. We determined the prevalence of poor sleep quality and associated factors among patients with CKD. DESIGN: This was a cross-sectional study that involved patients with CKD . SETTINGS: The study was carried out in the outpatient clinic of nine hospitals in Nigeria. METHODS: Sleep quality, depressive and anxiety symptoms and quality of life (QoL) were assessed among 307 patients with CKD using Pittsburgh Sleep Quality Index Questionnaire, Hospital Anxiety Depression Scale Questionnaire and 12-item Short Form Health Survey Quality of Life Questionnaire, respectively. The prevalence of poor sleep quality and associated factors were determined. A p<0.05 was considered as statistically significant. RESULTS: The mean age of the study participants was 51.40±15.17 years. The male:female ratio was 1.5:1 One hundred and twenty-one (39.4%) of the patients were on maintenance haemodialysis (MHD). The prevalence of poor sleep quality, anxiety symptoms and depressive symptoms among the patients was 50.2%, 37.8% and 17.6%, respectively. The prevalence of poor sleep quality in the CKD stages 3, 4, 5 and 5D was 38.1%, 42.6%, 52.2% and 58.7%, respectively. The prevalence of poor sleep quality was significantly higher in MHD patients compared with predialysis CKD (59.5% vs 43.6%; p=0.008). Factors associated with poor sleep quality were CKD stage (p=0.035), anaemia (p=0.003), pruritus (p=0.045), anxiety symptoms (p≤0.001), depressive symptoms (p≤0.001) and reduced QoL (p≤0.001). On multivariate analysis, factors associated with poor sleep were anxiety (AOR 2.19; 95% CI 1.27 to 3.79; p=0.005), anaemia (AOR 5.49; 95% CI 1.43 to 21.00;p=0.013) and reduced physical component of QoL (AOR 4.11; 95% CI 1.61 to 10.47; p=0.003). CONCLUSION: Poor sleep quality is common among patients with CKD especially in the advanced stage. The significant factors associated with poor sleep quality were QoL, anaemia and anxiety symptoms. These factors should be adequately managed to improve the overall outcomes of patients with CKD.

Corrigendum to "A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique" [Heliyon 9(4) (April 2023) e15455].

[This corrects the article DOI: 10.1016/j.heliyon.2023.e15455.].

Phytomelatonin: A key regulator of redox and phytohormones signaling against biotic/abiotic stresses.

Plants being sessile in nature, are exposed to unwarranted threats as a result of constantly changing environmental conditions. These adverse factors can have negative impacts on their growth, development, and yield. Hormones are key signaling molecules enabling cells to respond rapidly to different external and internal stimuli. In plants, melatonin (MT) plays a critical role in the integration of various environmental signals and activation of stress-response networks to develop defense mechanisms and plant resilience. Additionally, melatonin can tackle the stress-induced alteration of cellular redox equilibrium by regulating the expression of redox hemostasis-related genes and proteins. The purpose of this article is to compile and summarize the scientific research pertaining to MT's effects on plants' resilience to biotic and abiotic stresses. Here, we have summarized that MT exerts a synergistic effect with other phytohormones, for instance, ethylene, jasmonic acid, and salicylic acid, and activates plant defense-related genes against phytopathogens. Furthermore, MT interacts with secondary messengers like Ca2+, nitric oxide, and reactive oxygen species to regulate the redox network. This interaction triggers different transcription factors to alleviate stress-related responses in plants. Hence, the critical synergic role of MT with diverse plant hormones and secondary messengers demonstrates phytomelatonin's importance in influencing multiple mechanisms to contribute to plant resilience against harsh environmental factors.

A comprehensive review on modelling the adsorption process for heavy metal removal from waste water using artificial neural network technique.

Water is the most necessary and significant element for all life on earth. Unfortunately, the quality of the water resources is constantly declining as a result of population development, industry, and civilization progress. Due to their extreme toxicity, heavy metals removal from water has drawn researchers' attention. A lot of scientific applications use artificial neural networks (ANNs) because of their excellent ability to map nonlinear relationships. ANNs shown excellent modelling capabilities for the water treatment remediation. The adsorption process uses a variety of variables, making the interaction between them nonlinear. Selecting the best technique can produce excellent results; the adsorption approach for removing heavy metals is highly effective. Different studies show that the ANNs modelling approach can accurately forecast the adsorbed heavy metals and other contaminants in order to remove them.

OsLPXC negatively regulates tolerance to cold stress via modulating oxidative stress, antioxidant defense and JA accumulation in rice.

Exposure of crops to low temperature (LT) during emerging and reproductive stages influences their growth and development. In this study, we have isolated a cold induced, nucleus-localized lipid A gene from rice named OsLPXC, which encodes a protein of 321 amino acids. Knockout of OsLPXC resulted in enhance sensitivity to LT stress in rice, with increased accumulation of reactive oxygen species (ROS), malondialdehyde and electrolyte leakage, while expression and activities of antioxidant enzymes were significantly suppressed. The accumulation of chlorophyll content and net photosynthetic rate of knockout plants were also decreased compared with WT under LT stress. The functional analysis of differentially expressed genes (DEGs), showed that numerous genes associated with antioxidant defense, photosynthesis, cold signaling were solely expressed and downregulated in oslpxc plants compared with WT under LT. The accumulation of methyl jasmonate (MeJA) in leave and several DEGs related to the jasmonate biosynthesis pathway were significantly downregulated in OsLPXC knockout plants, which showed differential levels of MeJA regulation in WT and knockout plants in response to cold stress. These results indicated that OsLPXC positively regulates cold tolerance in rice via stabilizing the expression and activities of ROS scavenging enzymes, photosynthetic apparatus, cold signaling genes, and jasmonate biosynthesis.

HEAT-RESPONSIVE PROTEIN regulates heat stress via fine-tuning ethylene/auxin signaling pathways in cotton.

Plants sense and respond to fluctuating temperature and light conditions during the circadian cycle; however, the molecular mechanism underlying plant adaptability during daytime warm conditions remains poorly understood. In this study, we reveal that the ectopic regulation of a HEAT RESPONSIVE PROTEIN (GhHRP) controls the adaptation and survival of cotton (Gossypium hirsutum) plants in response to warm conditions via modulating phytohormone signaling. Increased ambient temperature promptly enhanced the binding of the phytochrome interacting factor 4 (GhPIF4)/ethylene-insensitive 3 (GhEIN3) complex to the GhHRP promoter to increase its mRNA level. The ectopic expression of GhHRP promoted the temperature-dependent accumulation of GhPIF4 transcripts and hypocotyl elongation by triggering thermoresponsive growth-related genes. Notably, the upregulation of the GhHRP/GhPIF4 complex improved plant growth via modulating the abundance of Arabidopsis thaliana auxin biosynthetic gene YUCCA8 (AtYUC8)/1-aminocyclopropane-1-carboxylate synthase 8 (AtACS8) for fine-tuning the auxin/ethylene interplay, ultimately resulting in decreased ethylene biosynthesis. GhHRP thus protects chloroplasts from photo-oxidative bursts via repressing AtACS8 and AtACS7 and upregulating AtYUC8 and the heat shock transcription factors (HSFA2), heat shock proteins (HSP70 and HSP20). Strikingly, the Δhrp disruption mutant exhibited compromised production of HSP/YUC8 that resulted in an opposite phenotype with the loss of the ability to respond to warm conditions. Our results show that GhHRP is a heat-responsive signaling component that assists plants in confronting the dark phase and modulates auxin signaling to rescue growth under temperature fluctuations.

The role of neural artificial intelligence for diagnosis and treatment planning in endodontics: A qualitative review.

Introduction: The role of artificial intelligence (AI) is currently increasing in terms of diagnosing diseases and planning treatment in endodontics. However, findings from individual research studies are not systematically reviewed and compiled together. Hence, this study aimed to systematically review, appraise, and evaluate neural AI algorithms employed and their comparative efficacy to conventional methods in endodontic diagnosis and treatment planning. Methods: The present research question focused on the literature search about different AI algorithms and models of AI assisted endodontic diagnosis and treatment planning. The search engine included databases such as Google Scholar, PubMed, and Science Direct with search criteria of primary research paper, published in English, and analyzed data on AI and its role in the field of endodontics. Results: The initial search resulted in 785 articles, exclusion based on abstract relevance, animal studies, grey literature and letter to editors narrowed down the scope of selected articles to 11 accepted for review. The review data supported the findings that AI can play a crucial role in the area of endodontics, such as identification of apical lesions, classifying and numbering teeth, detecting dental caries, periodontitis and periapical disease, diagnosing different dental problems, helping dentists make referrals, and also helping them make plans for treatment of dental disorders in a timely and effective manner with greater accuracy. Conclusion: AI with different models or frameworks and algorithms can help dentists to diagnose and manage endodontic problems with greater accuracy. However, endodontic fraternity needs to provide more emphasis on the utilization of AI, provision of evidence based guidelines and implementation of the AI models.

The effect of waste medical radiology as fiber reinforcement on the behavior of eco-efficient self-compacting concrete.

An effort is being conducted to enhance some characteristics of self-compacted concrete (SCC) and clean the environment through the addition of waste plastic fibers resulting from the cuts of waste medical radiology. A number of tests were carried out to examine the impact of waste medical radiology (WMR) fiber additions with various aspect ratios and various percentages on SCC characteristics. Thus, various SCC mixes were designed at a constant water-to-binder ratio of 0.33 and 550 kg/m3 of binder content. The four groups of WMR fiber content were specified with different aspect ratios of (0, 40, 50, and 60) with various ratios of (1%, 1.25, and 1.5%) by volume of concrete. The workability characteristics of SCC mixes were determined by fresh density, segregation resistance, L-box height ratio, T50 slump with V-funnel flow time, and slump flow diameter. Also, the measurement of thermal conductivity, compressive, flexural, and splitting tensile strengths were performed at 28 days for SCC mixtures. The findings revealed that WMR fibers have a negative impact on the fresh characteristics of SCC except for segregation resistance, which improved. However, the results of splitting tensile and compressive strengths were enhanced at 1% WMR fiber content with various aspect ratios then decreased. However, all results of flexural strength were reduced in comparison with the control mixture excluding samples containing 1% WMR fibers with an aspect ratio of 50 which showed a higher result. The outcomes of thermal conductivity were reduced with the usage of various WMR fiber percentages and various aspect ratios in comparison with the control mixture, and the best result was obtained at 1.25% WMR fiber with an aspect ratio of 50.

Lysozyme inhibits postharvest physiological deterioration of cassava.

After harvest, cassava (Manihot esculenta Crantz) storage roots undergo rapid postharvest physiological deterioration, producing blue-brown discoloration in the vasculature due to the production of polyphenolics (mainly quinones and coumarins) by enzymes such as polyphenol oxidase (PPO). Here, we report the application of hen egg-white lysozyme (HEWL), a natural PPO inhibitor, in transgenic cassava to repress the symptoms of postharvest physiological deterioration. The HEWL-expressing transgenic plants had lower levels of the two main cassava coumarins tested, scopoletin and scopolin, compared with wild type. HEWL-expressing cassava also showed increased tolerance of oxidative stress. Overall, the lysozyme-PPO system proved to be functional in plants for repressing PPO-mediated commercial product browning.

Engineering Properties of Sweet Potato Starch for Industrial Applications by Biotechnological Techniques including Genome Editing.

Sweet potato (Ipomoea batatas) is one of the largest food crops in the world. Due to its abundance of starch, sweet potato is a valuable ingredient in food derivatives, dietary supplements, and industrial raw materials. In addition, due to its ability to adapt to a wide range of harsh climate and soil conditions, sweet potato is a crop that copes well with the environmental stresses caused by climate change. However, due to the complexity of the sweet potato genome and the long breeding cycle, our ability to modify sweet potato starch is limited. In this review, we cover the recent development in sweet potato breeding, understanding of starch properties, and the progress in sweet potato genomics. We describe the applicational values of sweet potato starch in food, industrial products, and biofuel, in addition to the effects of starch properties in different industrial applications. We also explore the possibility of manipulating starch properties through biotechnological means, such as the CRISPR/Cas-based genome editing. The ability to target the genome with precision provides new opportunities for reducing breeding time, increasing yield, and optimizing the starch properties of sweet potatoes.

Prevalence and biosocial determinants of hypertension in a rural population in Edo State, Southern Nigeria.

BACKGROUND: Hypertension is a public health threat of global concern with increasing prevalence in many countries, including Nigeria. AIM: The aim of the study was to determine the prevalence and determinants of hypertension in a rural agrarian community in Edo North, Nigeria. SETTING: The study was carried out in Ayua, a community in Edo North, southern Nigeria. METHODS: This cross-sectional descriptive study involved the use of a structured interviewer-administered questionnaire to obtain relevant data. Body mass index (BMI), blood pressure and glucose were recorded. Data were analysed using Statistical Package for Social Sciences (SPSS) version 20.0. RESULTS: Two hundred and nineteen participants aged 15 years completed the study with a mean age of 54.03 ± 16.61 years and females comprising 159 (72.6%) of the total. The prevalence of hypertension was 27.9% (in 61 participants). Twenty-one (9.8%) respondents gave a family history of hypertension. The mean BMI amongst respondents was 27.10 ± 6.61 kg/m2. Obesity and pre-obesity were found in 58 (26.5%) and 71(32.4%) respondents, respectively. The determinants of hypertension were age and BMI. Compared with those who were less than 40 years old, those aged 40-65 years and 65 years had 1.9 and 4.2 times increased odds of developing hypertension, respectively. Similarly, compared with the non-obese, obese participants had 2.3 times increased odd of having hypertension. CONCLUSION: Hypertension was highly prevalent in this rural community. Health sensitisation and intervention programmes are recommended in rural communities for early detection and management of hypertension, especially amongst older and obese adults.

Impact of weather on COVID-19 transmission in south Asian countries: An application of the ARIMAX model.

We aimed to examine the impact of weather on COVID-19 confirmed cases in South Asian countries, namely, Afghanistan, Bangladesh, India, Pakistan, and Sri Lanka. Data on daily confirmed cases, together with weather parameters, were collected from the first day of COVID confirmed cases in each country to 31 August 2020. The weather parameters were Rainfall (mm), relative humidity (%), maximum and minimum temperature (°C), surface pressure (kPa), maximum air pollutants matter PM 2.5 (µg/m3) and maximum wind speed (m/s). Data were analyzed for each investigated countries separately by using the Autoregressive Integrated Moving Average with Explanatory Variables (ARIMAX) model. We found that maximum wind speed had significant negative impact on COVID-19 transmission in India (-209.45, 95% confidence interval (CI): -369.13, -49.77) and Sri Lanka (-2.77, 95% CI: -4.77, -0.77). Apart from India, temperature had mixed effects (i.e., positive or negative) in four countries in South Asia. For example, maximum temperature had negative impact (-30.52, 95% CI: -60.24, -0.78) in Bangladesh and positive impact (5.10, 95% CI: 0.06, 10.14) in Afghanistan. Whereas rainfall had negative effects (-48.64, 95% CI: -80.17, -17.09) in India and mixed effects in Pakistan. Besides, maximum air pollutants matter PM 2.5 was negatively associated with the confirmed cases of COVID-19. In conclusion, maximum wind speed, rainfall, air pollutants (maximum PM 2.5) and temperature are four variables that could play a vital role in the transmission of COVID-19. Although there is a mixed conclusion regarding weather parameters and COVID-19 transmission, we recommend developing environmental policies regarding the transmission of COVID-19 in South Asian countries.

Incredible Role of Osmotic Adjustment in Grain Yield Sustainability under Water Scarcity Conditions in Wheat (Triticum aestivum L.).

Interrogations of local germplasm and landraces can offer a foundation and genetic basis for drought tolerance in wheat. Potential of drought tolerance in a panel of 30 wheat genotypes including varieties, local landraces, and wild crosses were explored under drought stress (DS) and well-watered (WW) conditions. Considerable variation for an osmotic adjustment (OA) and yield components, coupled with genotype and environment interaction was observed, which indicates the differential potential of wheat genotypes under both conditions. Reduction in yield per plant (YP), thousand kernel weight (TKW), and induction of OA was detected. Correlation analysis revealed a strong positive association of YP with directly contributing yield components under both environments, indicating the impotence of these traits as a selection-criteria for the screening of drought-tolerant genotypes for drylands worldwide. Subsequently, the association of OA with TKW which contributes directly to YP, indicates that wheat attains OA to extract more water from the soil under low water-potential. Genotypes including WC-4, WC-8 and LLR-29 showed more TKW under both conditions, among them; LLR-29 also has maximum OA and batter yield comparatively. Result provides insight into the role of OA in plant yield sustainability under DS. In this study, we figure out the concept of OA and its incredible role in sustainable plant yield in wheat.

Mutations of OsPLDa1 Increase Lysophospholipid Content and Enhance Cooking and Eating Quality in Rice.

Phospholipids belong to a significant class of lipids and comprise ~10% of total lipids in rice grains. Lysophospholipid (LPL) is derived from the hydrolysis of phospholipids and plays an important role in rice grain quality. Our previous study demonstrated that mutations in a phospholipase D gene (OsPLDα1) significantly altered lipid metabolites and reduced phytic acid content. In the present study, the effect of two ospldα1 mutations on LPL and other physicochemical prosperities of brown rice was further investigated, with the aim of assessing the overall importance of ospldα1 mutations in rice grain quality. Metabolite profiling revealed a ~15% increase in LPL level in both ospldα1 mutants as compared with their wild-type (WT) parent. Both ospldα1 mutations significantly lowered the apparent amylose content in brown rice flour (~1.9%) and altered viscosity profiles with significantly increased breakdown (+12.4%) and significantly reduced setback viscosity (-6.2%). Moreover, both ospldα1 mutations significantly lowered the gelatinization onset, peak temperature and retrogradation percentage of brown rice flour. This study demonstrated that OsPLDα1 plays a crucial role in rice grain quality and its mutation could, in general, improve the cooking and eating quality and nourishment of brown rice.

Correction to: Improved insect resistance against Spodoptera litura in transgenic sweetpotato by overexpressing Cry1Aa toxin.

In Materials and method section, a sweetpotato variety "Taizhong-6" (China national number 2013003) should be renamed as Ayamurasaki".