High Variability Research Articles

Suppression of interference fringes in wavelength modulation spectroscopy based on convolutional neural networks

To mitigate interference fringes in wavelength modulated spectroscopy (WMS), we introduce a new filter based on convolutional neural networks (New CNNF). This filter effectively suppresses both high and low-frequency variations of interference fringes, including those with envelopes. In striving for comprehensive interference fringe suppression across the entire frequency spectrum, while accommodating diverse cavity length conditions, we confront the challenge of data sparsity. To address this, we introduce a pioneering methodology: finely segmenting the dataset through concentration column density normalization, thereby achieving notable noise reduction. Through the construction and training of the New CNNF model, it was found to exhibit superior performance compared to traditional filtering algorithms, particularly under low signal-to-noise ratio (SNR) conditions.Following processing with the novel convolutional neural network filters (New CNNF), the sample's signal-to-noise ratio (SNR) improved by 26.70 dB, increasing from the original −10.11 dB. When the etalon lengths were 2 cm and 100 cm, the goodness of fit between the predicted second harmonic signal amplitude by New CNNF and the corresponding label concentration reached 0.9995 and 0.9999, respectively. Experimental results demonstrate that New CNNF effectively suppresses high and low-frequency variations and enveloped interference fringes in the TDLAS-WMS system, thereby enhancing the accuracy and stability of methane concentration measurements. CH4 transitions at λ = 1.654 μm were selected to validate this approach. Our method shows promising application prospects and can be extended to the sensing of other gas molecules.

Association between body fat variation rate and risk of diabetic nephropathy - a posthoc analysis based on ACCORD database

BackgroundWeight control has consistently been regarded as a significant preventive measure against diabetic nephropathy. however, the potential impact of substantial fluctuations in body fat during this process on the risk of diabetic nephropathy remains uncertain. This study aimed to investigate the association between body fat variation rate and diabetic nephropathy incident in American patients with type 2 diabetes.MethodsThe study used data from the Action to Control Cardiovascular Risk in diabetes (ACCORD) trial to calculate body fat variation rates over two years and divided participants into Low and High groups. The hazard ratio and 95% confidence interval were estimated using a Cox proportional hazards model, and confounding variables were addressed using propensity score matching.ResultsFour thousand six hundred nine participants with type 2 diabetes were studied, with 1,511 cases of diabetic nephropathy observed over 5 years. High body fat variation rate was linked to a higher risk of diabetic nephropathy compared to low body fat variation rate (HR 1.13, 95% CI 1.01–1.26). Statistically significant interaction was observed between body fat variation rate and BMI (P interaction = 0.008), and high level of body fat variation rate was only associated with increased risk of diabetic nephropathy in participants with BMI > 30 (HR 1.34 and 95% CI 1.08–1.66).ConclusionsAmong participants with Type 2 Diabetes Mellitus, body fat variation rate was associated with increased risk of diabetic nephropathy. Furthermore, the association was modified by BMI, and positive association was demonstrated in obese but not non-obese individuals. Consequently, for obese patients with diabetes, a more gradual weight loss strategy is recommended to prevent drastic fluctuations in body fat.Trial registrationClinical Trials. gov, no. NCT000000620 (Registration Date 199909).Graphical

Swirling Flow Quantification in Helical Stents Using Ultrasound Velocimetry.

Helical stents have been developed to treat peripheral arterial disease (PAD) in the superficial femoral artery (SFA), with the premise that their particular geometry could promote swirling flow in the blood. The aim of this work is to provide evidence on the existence of this swirling flow by quantifying its signatures. This study consists of in vitro and in vivo parts. For the in vitro part, 3 helical stent models of different helicity degrees and 1 straight model were fabricated, and the flow was assessed at the inlet and outlet of each model. For the in vivo part, only 1 patient, treated with the helical stent, was eligible to participate in the study. The stent implanted in the SFA of the patient was evaluated in 2 leg postures (straight and flexed), and flow was assessed in 12 locations along the SFA. The in vivo study was approved by an ethical board (NL80130.091.21) in the Netherlands. High-frame-rate ultrasound was used to acquire data from the regions of interest (ROIs), using microbubbles as contrast agents. After processing the data via a correlation-based algorithm (echo particle image velocimetry or echoPIV), the velocity vector field within each ROI was extracted and analyzed for parameters such as vector complexity and velocity profile skewedness. The results show that in the outlet of the helical stents, when compared with the inlet, the flow vector field is more complex and the velocity profile is more skewed. For the in vivo case, the outcomes demonstrate more complexity and higher variability in the sign of skewedness inside the stent when compared with the flow in the proximal to the stent. Helical stents make the vector field of the flow more complex and the velocity profile more skewed, both of which are signatures of swirling flow. Further studies are needed to evaluate whether these features can benefit patients in terms of patency rates. This study demonstrates that helical stent models alter the blood flow when compared with straight stent models. Particularly, the flow grows more complex and its velocity profile becomes more skewed, both of which hint at the existence of swirling flow inside the helical stent. These observations, alongside with population-based studies that are currently being carriet out, may provide the evidence that helical stents have some advantages over straight stents for the patients.

Geospatial analysis of malaria burden in Kagera region, northwestern Tanzania using health facility and community survey data

Abstract Background Malaria transmission in Tanzania has declined significantly over the last two decades due to scaled-up control interventions. However, recent confirmation of artemisinin partial resistance (ART-R) in Kagera region in northwest Tanzania threatens the ongoing efforts to eliminate malaria in the country. This study was conducted according to the World Health Organization recommendation to generate evidence of malaria burden in areas with confirmed ART-R as the first step before developing a response strategy to the resistance. Methods We assessed the local burden of malaria in Kagera region by geospatial analysis, using data collected retrospectively from health facilities (HFs) and community surveys from 2015 to 2023 to identify malaria hotspots. Results From 2017 to 2023, a total of 8,124,363 suspected malaria cases were reported by HFs, and 2,983,717 (36.7%, 95% range across wards: 22.7 - 50.7%) tested positive by rapid diagnostic tests. Test positivity rates were similar among under-fives (33.1%, 95% range: 19.7–46.5%) and patients aged ≥5 years (33.7%, 95% range: 21.0–46.5%). Malaria prevalence was 10.0% (95% range across wards: 5.1–14.9%%, n=84,999/853,761) in pregnant women and 26.1% (95% range across wards: 11.7–40.6%, n=3,409/13,065) in school children. Despite high temporal variations, we identified hotspots and coldspots, including persistently high burden in 69/192 (35.9%) wards. Conclusion Malaria burden in Kagera exhibited high temporal and spatial heterogeneity, with school children showing the highest prevalence. This demographic pattern underlines the need for targeted interventions and provides evidence for developing an ART-R response for the region.

Construction of a full-length infectious cDNA clone of zucchini tigre mosaic virus infecting snake gourd and genetic diversity analysis based on complete genome sequences of ZTMV isolates.

Zucchini tigre mosaic virus (ZTMV) is a positive-sense single-stranded RNA virus belonging to the genus Potyvirus. In this study, a full-length infectious cDNA clone of a ZTMV strain infecting snake gourd (Trichosanthes cucumerina var. anguina L.) was constructed and shown to infect snake gourd, chieh-qua, zucchini, ridge gourd, and bitter melon. The complete genome sequence of ZTMV-FS7 (PP291701) showed the highest nucleotide sequence similarity to ZTMV-TW (86.2% identity). Genetic diversity analysis of 12 ZTMV isolates showed that the P1 gene had the highest variability. Selection pressure analysis indicated that all of the ZTMV genes were under negative selection. However, some sites, particularly within the P1 gene, were under positive selection.

Cough frequency has a high daily variation in patients with chronic cough

Cough frequency has a high daily variation in patients with chronic cough

Common tenrecs (Tenrec ecaudatus) reduce oxygen consumption in hypoxia and in hypercapnia without concordant changes to body temperature or heart rate.

Common tenrecs (Tenrec ecaudatus) are fossorial mammals that use burrows during both active and hibernating seasons in Madagascar and its neighboring islands. Prevailing thought was that tenrecs hibernate for 8-9months individually, but 13 tenrecs were removed from the same sealed burrow 1m deep from the surface. Such group hibernation in sealed burrows presumably creates a hypoxic and/or hypercapnic environment and suggests that this placental mammal may have an increased tolerance to hypoxia and hypercapnia. Higher tolerances to hypoxia and hypercapnia have been documented for other mammals capable of hibernation and to determine if this is the case for tenrecs, we exposed them to acute hypoxia (4h of 16 or 7% O2), progressive hypoxia (2h of 16, 10 and 4% O2), or progressive hypercapnia (2h of 2, 5 and 10% CO2) at cold (16°C) or warm (28°C) ambient temperatures (Ta). Oxygen equilibrium curves were also constructed on the whole blood of tenrecs at 10, 25, and 37°C to determine if hemoglobin (Hb)-O2 affinity contributes to hypoxia tolerance. In animals held at 16°C, normoxic and normocapnic levels of oxygen consumption rate ( ), body temperature (Tb), and heart rate (HR) were highly variable between individuals. This inter-individual variation was greatly reduced in animals held at 28°C for oxygen consumption rate and body temperature. Both hypoxia (acute and progressive) and progressive hypercapnia led to decreases in as well as the variation in between animals held at 16°C. The fall in oxygen consumption rate in 7% O2 independent of changes in body temperature in tenrecs held at 16°C is unique and not consistent with the typical hypoxic metabolic response seen in other hibernating species that depends on concomitant falls in Tb. In animals held at 28°C, exposure to O2 levels as low as 4% and CO2 levels as high as 10% had no significant effect on , HR, or Tb, indicative of high tolerance to both hypoxia and hypercapnia. High variation in heart rate remained between individuals in all gas compositions and at all temperatures. Tenrec Hb-O2 affinity was similar to other homeothermic placental mammals and likely does not contribute to the increased hypoxia tolerance. Ultimately, our results suggest changes in Ta dictate physiological responses to hypoxia or hypercapnia in tenrecs, responses more characteristic of reptiles than of most placental mammals. Given that numerous anatomical and physiological characteristics of tenrecs suggest that they may be representative of an ancestral placental mammal, our findings suggest the typical hypoxic metabolic response evolved later in mammalian evolution.

Hysteresis response of carbon release and nitrate reduction in polymer denitrification systems

Polymer denitrification has received much attention in the field of advanced wastewater treatment. It can release carbon source stably during long-term operation, which can be used as electron donor for denitrification. However, the response of the polymer denitrification system to the transient changes of nitrate is not sufficiently disclosed yet. In this study, the response of a polymer denitrification system to nitrate was comprehensively investigated through a series of experiments. Therefore, real-time response and hysteresis response phenomena were identified. The time dependence of microorganisms in the system and the recovery of the hysteresis response were elucidated. The experimental results revealed distinct response patterns before and after the hysteresis tipping point. The denitrifying microorganisms, which showed a high adaptive capacity, exhibited a real-time response over a range of low nitrate concentration variations (∼20–30 mg/L). In contrast, microbial recovery is poor over a range of high nitrate concentration variation (∼35–40 mg/L), which is referred to as a hysteresis response. Finally, the hysteresis response mechanism was revealed by monitoring the recovery of denitrification enzymes, gene and microbial communities. The results showed that transient shocks of high nitrate loads affect microbial community structure stability, denitrifying enzyme activity and gene expression. Meanwhile, the abundance of Microbacterium associated with carbon release was reduced. The combination of these factors leads to a hysteresis response in denitrification and carbon release. This work contributes to a deeper understanding of the hysteresis behavior in polymer denitrification systems, offering critical insights for optimizing system performance and improving nitrogen removal efficiency.

8574 Single cell multiomics suggests tumor cell energy metabolism heterogeneity in non-functioning gonadotroph pituitary adenomas

Abstract Disclosure: F.M. Ruf-Zamojski: None. Z. Zhang: None. W. Cheng: None. G.R. Smith: None. M. Zamojski: None. N. Mendelev: None. Y. Ge: None. D. Marrero-Rodríguez: None. K. Taniguchi-Ponciano: None. C.L. Andoniadou: None. E. Zaslavsky: None. X. Chen: None. O.G. Troyanskaya: None. M. Mercado: None. S.C. Sealfon: None. Pituitary adenomas cause hormonal dysregulation and severe morbidity. The absence of clear biomarkers for prognosis/treatment and the high risk of recurrence make management challenging. Non-functioning gonadotroph pituitary adenomas (NFPAs) represent proliferation of gonadotroph lineage cells without an increase in secretion of gonadotropins. Detection is often delayed until mass effects cause visual defects. Higher resolution molecular study may improve classification, diagnosis, treatment, and provide insight into adenoma biology. We analyzed four NFPAs using unbiased genome-wide same-cell single nucleus 10X Genomics multiome assay (transcriptome and chromatin accessibility) to define individual cell identity/states in comparison with normal gonadotrope cell references from twelve age/sex-matched human post-mortem pituitaries. In total, we generated high quality multiomics single-cell data for 33,832 adenoma cells and 5,451 normal gonadotropes. We identified tumor, immune, vascular, and proliferative cells confirming cellular heterogeneity. Multidimensional scaling analysis using Manhattan distances between cell types showed that NFPA gonadotropes were closer in gene expression to healthy gonadotropes among all pituitary cell types. In addition, we observed differences in the macrophage and endothelial cell populations between tumors and healthy pituitaries. Next, we studied gene regulatory circuitry (regulated gene, modulating transcription factor and its chromatin interaction site) using the new Control of Regulation Extracted from Multiomics Assays (CREMA, [1]) multiome analysis method which showed high variation between normal and tumor gonadotropes. Within each adenoma, the NFPA tumor cells encompassed two main subgroups of cells, one group (GT+ marker tumor cells) expressing established gonadotrope markers and another group not (GT- marker tumor cells). GT+ and GT- tumor cells formed a cluster distinct from healthy gonadotropes. GT+ and GT- tumor cells differed by their level of expression of mitochondrial genes, suggesting decreased aerobic capacity associated with the GT- tumor subgroup. Interestingly, differential analyses between the healthy and the NFPA gonadotropes from same-cell multiome data highlighted dissimilar gene expression and chromatin accessibility patterns.Our newly collected single cell data characterize the difference between NFPA tumor cells and normal gonadotrope cells. Our results suggest a Warburg-effect like difference in aerobic respiratory capacity among tumor cells within the same pituitary adenoma. Overall, this study brings new insights into the molecular characteristics of NFPAs, including tumor cell heterogeneity, and represents a new resource for the field. [1] PMID: 38084892. Presentation: 6/1/2024

Microarray-based evaluation of selected recombinant timothy grass allergens expressed in E. Coli and N. Benthamiana

BackgroundTimothy grass (Phleum pratense) is a significant source of allergens, and recombinant allergens are increasingly used for diagnostic purposes. However, the performance of different recombinant allergen production systems in diagnostic assays needs further investigation to optimize their use in clinical settings.ObjectiveThe main objective of this study was to analyze and compare the diagnostic performance of recombinant timothy grass allergens produced in E. coli and N. benthamiana using a custom-made microarray chip.MethodsRecombinant timothy grass allergens Phl p 1, Phl p 2, Phl p 5, Phl p 6, Phl p 11, and Phl p 12 were produced in E. coli and/or N. benthamiana. A total of 113 patient serum samples were tested to evaluate the diagnostic sensitivity, specificity, inter-assay variability, and correlation of allergen-specific IgE detection compared to commercial multiplex tests (ALEX and ISAC). Additionally, the prevalence of sIgE to these allergens was assessed.ResultsPhl p 1, Phl p 2, Phl p 5, Phl p 6 and Phl p 11 showed high or very high positive correlation in immunoreactivity with other commercial multiplex tests. Notably, Phl p 11 fused with maltose-binding protein (MBP) demonstrated high diagnostic specificity and sensitivity, with a 0.3 arbitrary cut-off value. However, a high intra-assay variation was observed. The study also assessed specific IgE prevalence to timothy grass allergens within the tested patient cohort.ConclusionsRecombinant allergens from both E. coli and N. benthamiana demonstrated strong diagnostic potential on the microarray platform, with Phl p 11 (MBP-fused) showing particularly high performance. High intra-assay variation highlights the need for further optimization in allergen formulation and microarray storage conditions. These results highlight the potential of recombinant allergens for diagnostic applications, despite challenges with allergen stability in microarray formats. Specific IgE prevalence to timothy allergens revealed a sensitization profile consistent with findings from multiple studies.Graphical

Exploring Strategies to Enhance the Teaching Ability of Chinese Educators in Chinese+Medical Education: A Case Study of Dali University

Study explores the core areas that enhance the teaching ability of Chinese teachers in the Chinese+Medical learning program. The participants in the study were 150 students of Dali University and questionnaires were used to collect data from the participants. Structural Equation Modelling (SEM), Pearson correlation analysis, and ANOVA test were conducted to determine the relationship of these factors. The results of the Pearson correlation are the following findings: teaching experience (TE) has a small positive correlation with teaching ability (r = 0.40,p = 0.05) while professional development training (PDT) has a strong positive correlation with the teaching ability, (r = 0.52,p = 0.01) and the pedagogical strategies (PS) (r = 0.47, p = 0.03) have the strongest positive connections with teaching ability, teacher collaboration (TC) (r = 0.30,p = 0.10 ) and educational resources (ER) (r = 0.35,p = 0.07) exhibit weaker non-significant associations. The SEM analysis findings indicate that the highest path coefficients about teaching ability areTE (C = 0.30,p = 0.02), TC (C = 0.40,p = 0.01), PDT (C = 0.45,p = 0.01),PS (C = 0.35,p = 0.01), and ER(C = 0.25,p = 0.03). The findings of the ANOVA also indicate high variation in teaching competency regarding different PDT (p = 0.03), TE (p = 0.02), ER (p = 0.01), PS (p = 0.04), and TC (p = 0.02). The results altogether suggest that the most significantkey elements that can be employed to improve the teaching ability within Chinese+Medical Education are PDT and TC.

Mineral nutrients and protein composition of non-conventional food plants (Pereskia aculeata Miller, Sonchus oleraceus L. and Xanthosoma sagittifolium (L.) Schott)

Ora-pro-nóbis (Pereskia aculeata Miller), taioba (Xanthosoma sagittifolium (L.) Schott) and serralha (Sonchus oleraceus L.) are non-conventional food plants found in Brazil that could be included in the human diet, but they are not produced on large-scale. However, they have risen in popularity, due to their association with high nutritional values. Thus, the present study aimed to evaluate the mineral and protein composition of raw and cooked plants from assorted locations. The cooking process did not affect the mineral and protein results on dry mass basis. Furthermore, high variations in mineral composition were observed for different locations. Comparing the results with conventional plants composition databases, the protein content of ora-pro-nobis and taioba were significantly higher than values of spinach. Taioba was the plant that presented more minerals with higher concentrations when compared to the conventional plants. The protein contribution per serving of these plants to the Dietary Reference Intake ranged from 1.1 % to 7 %. Regarding the minerals, cooked taioba can be a source of Ca, Mg, and Cu and high in Mn (11–33 % to DRI). Cooked ora-pro-nobis can be classified as a source of Ca, Mg and Mn (16–29 % to DRI). While the contributions from serralha were less than 11 % of the DRI. These results demonstrate that these non-conventional food plants are an alternative food source that could be better exploited, improving dietary diversity.

Comparative study on chloroplast genome of Tamarix species.

Tamaricaceae comprises about 120 species and has a long evolutionary history, Tamarix Linn accounts for approximately 75% of the total species in this family. It is the most widely distributed and diverse genus in the family. They have important ecological significance for transforming deserts and improving climate conditions. However, Tamarix is the most poorly classified genera among flowering plants owing to its large variability and high susceptibility to interspecific hybridization. In this study, the complete chloroplast genomes of three Tamarix species and one draft chloroplast genome were obtained in this study. Combined with eight chloroplast genomes deposited in GenBank, complete chloroplast sequences of 12 Tamarix species were used for further analysis. There are 176 non-SSR-related indels and 681 non-indel-related SSRs in the 12 Tamarix chloroplast genomes. The mononucleotide SSRs are the most prevalent among all types of SSRs. The mVISTA results indicate high sequence similarities across the chloroplast genome, suggesting that the chloroplast genomes are highly conserved, except for sample Tamarix androssowii (ENC850343). The IR regions and the coding regions are more conserved than the single-copy and noncoding regions. The trnF-ndhJ, ndhC-trnM-CAU, ycf1, and trnL-UAG-ndhF regions are the most variable and have higher variability than those of the universal DNA markers. Finally, the first phylogenetic tree of Tamaricaceae was constructed which confirmed the monophyly of Tamarix in Tamaricaceae. The first phylogenetic tree of Tamarix was based on the complete chloroplast genome to date, the changes in branch length and support rate can potentially help us clarify the phylogenetic relationships of Tamarix. All the obtained genetic resources will facilitate future studies in population genetics, species identification, and conservation biology of Tamarix.

The daily experience of hunger in UK females with and without food insecurity

Food insecurity (FI) is associated with increased mortality risk, depression, and obesity in females in high-income countries, but causal mechanisms remain unclear. FI is often assumed to lead to increased levels of hunger. However, quantitative evidence describing daily experiences of hunger in FI is lacking. Our pre-registered study used ecological momentary assessment to capture experiences of hunger in two groups of UK-based females: those experiencing FI (N = 143) and those experiencing food security (FS; N = 149). Participants self-reported hunger hourly (0900-2100) for one week (Monday-Sunday). There was no difference between groups in mean hunger (t(290) = 0.17, p = .866, d = 0.02) nor within-day standard deviation in hunger (t(290) = 1.31, p = .193, d = 0.15). However, both quantities fluctuated more from day to day in the FI group. Compared to the FS group, participants in the FI group had a larger day-to-day variation in mean hunger (t(284) = 2.43, p = .016, d = 0.29) and a larger day-to-day variation in the within-day standard deviation of hunger (t(284) = 2.90, p = .004, d = 0.34). In exploratory analyses, we found that the hunger of the two groups patterned differently across the day. Our findings suggest that experiences of hunger are less stable in those experiencing FI, which may reflect associations between FI and greater uncertainty in food access, higher variability in meal timings or the increased likelihood of chaotic home and work lives.

Drone remote sensing to define heat exchange between urban surfaces and stormwater runoff

ABSTRACT Urban water bodies are often subject to high runoff temperatures from heat exchange between rainfall and urban surfaces; however, this process can be difficult to define due to the complexity of spatially heterogeneous urban areas. This research seeks to improve our understanding of heat exchange in urban stormwater runoff by integrating in situ measurements of runoff temperature with land surface temperature data captured in high spatial resolutions by a drone. To do so, this study monitored four urban catchments in Milwaukee, WI that are dominated by different land surfaces (concrete parking lot, asphalt road, black bitumen roof, and grass). Results indicate that land surface temperature was variable among common land surface types (1.34–2.24 °C), with higher variations in surfaces subject to foot and vehicular traffic. In addition, the temperature of runoff from impervious surfaces responded differently between buildings and those with a ground subsurface, with higher event mean temperatures from concrete (21.4 °C) and asphalt (21.9 °C) ground surfaces as compared with the bitumen roof (19.8 °C), despite similar initial surface temperatures. Ultimately, these outcomes demonstrate how drone remote sensing of land surface temperature and in situ monitoring can be integrated to understand heat exchange processes in urban stormwater runoff.

Economic optimization of sustainable soil management: a Dutch case study

Soil quality is pivotal for crop productivity and the environmental quality of agricultural ecosystems. Achieving sufficient yearly income and long-term farm continuity are key goals for farmers, making sustainable soil management an economic challenge. Existing bio-economic models often inadequately address soil quality. In this study, we apply the novel FARManalytics model, which integrates chemical, physical, and biological indicators of soil quality indicator, quantitative rules on how these indicators respond to farmers’ production management over time, and an economic calculation framework that accurately calculates the contribution of production management decisions towards farm income. This is the first study applying this model on existing arable farms. FARManalytics optimizes crop rotation design, cover crops, manure and fertilizer application and crop residue management. Nine Dutch arable farms were analyzed with a high variation in farm size, soil type, and cultivated crops. First, we assessed farm differences in soil quality and farm economics. Second, we optimized production management to maximize farm income while meeting soil quality targets using farm-specific scenarios. Third, we explored the impact of recent policy measures to preserve water quality and to increase the contribution of local protein production. The results show that the case farms already perform well regarding soil quality, with 75% of the soil quality indicators above critical levels. The main soil quality bottlenecks are subsoil compaction and soil organic matter input. We show that even in front-runner farms, bio-economic modeling with FARManalytics substantially improves economic performance while increasing soil quality. We found that farm income could be increased by up to €704 ha−1 year−1 while meeting soil quality targets. Additionally, we show that to anticipate on stricter water quality regulation and market shift for protein crops, FARManalytics is able to provide alternative production management strategies that ensure the highest farm income while preserving soil quality for a set of heterogenous farms.

Food Records Show Daily Variation in Diet During Pregnancy: Results From the Temporal Research in Eating, Nutrition, and Diet during Pregnancy (TREND-P) Study

BackgroundDiet is critical for pregnant individuals and their offspring, but insight into diet during pregnancy mainly comes from questionnaires and recalls. ObjectiveObtain detailed real-time dietary data during pregnancy to evaluate intra- and inter-individual variation in intakes. MethodsPregnant individuals were recruited from a New York City health system December 2020–June 2023. Participants collected dietary intakes for 14 days (mean gestational weeks = 17.6) and again roughly 4 weeks later (mean gestational weeks = 24.5). Participants logged each eating occasion using a smartphone and study-developed app, and wore a smartwatch capturing physiologic data. ResultsIn total 150 individuals completed at least one data collection round, with 134 completing both rounds. Mean daily eating window was 10.82 hours, with weekends having a significantly shorter window than weekdays (p<0.001). Eating window was correlated with energy intake (r = 0.401, p<0.001), driven by later last eating occasions. There was high intraindividual variation in macro- and micro-nutrient intakes (intraclass correlation coefficient, ICC, range 0.11-0.40) and food type (ICC range: 0.08-0.34), and differences between weekdays and weekends (less protein and micronutrients on weekends). Few participants’ mean intakes met daily recommended dietary allowances (RDA) for key micronutrients (under 15% for iron, magnesium, vitamin D, and vitamin E; under 30% for calcium, folate, zinc, and vitamin A). ConclusionsDietary intakes varied substantially within and between individuals, and mean nutrient intake estimates did not capture nutrient adequacy for individuals or populations. Future work that examines individual daily dietary intakes throughout pregnancy among diverse populations is needed.

Dissecting the Mechanisms of Intestinal Immune Homeostasis by Analyzing T-Cell Immune Response in Crohn's Disease and Colorectal Cancer.

Crohn's disease (CD) and colorectal cancer (CRC) represent a group of intestinal disorders characterized by intricate pathogenic mechanisms linked to the disruption of intestinal immune homeostasis. Therefore, comprehending the immune response mechanisms in both categories of intestinal disorders is of paramount significance in the prevention and treatment of these debilitating intestinal ailments. IIn this study, we conducted single-cell analysis on paired samples obtained from primary colorectal tumors and individuals with Crohn's disease, which was aimed at deciphering the factors influencing the composition of the intestinal immune microenvironment. By aligning T cells across different tissues, we identified various T cell subtypes, such as γδ T cell, NK T cell, and regulatory T (Treg) cell, which maintained immune system homeostasis and were confirmed in enrichment analyses. Subsequently, we generated pseudo-time trajectories for subclusters of T cells in both syndromes to delineate their differentiation patterns and identify key driver genes Result: Furthermore, cellular communication and transcription factor regulatory networks are all essential components of the intricate web of mechanisms that regulate intestinal immune homeostasis. The identified complex cellular interaction suggested potential T-lineage immunotherapeutic targets against epithelial cells with high copy number variation (CNV) levels in CD and CRC. Finally, the analysis of regulon networks revealed several promising candidates for cell-specific transcription factors (TFs). This study focused on the immune molecular mechanism under intestinal diseases. It contributed to the novel insight of depicting a detailed immune landscape and revealing T-cell responding mechanisms in CD and CRC.

Multiparametric Cranberry (Vaccinium macrocarpon Ait.) Fruit Textural Trait Development for Harvest and Postharvest Evaluation in Representative Cultivars.

Fruit texture is a priority trait that guarantees the long-term economic sustainability of the cranberry industry through value-added products such as sweetened dried cranberries (SDCs). To develop a standard methodology to measure texture, we conducted a comparative analysis of 22 textural traits using five different methods under both harvest and postharvest conditions in 10 representative cranberry cultivars. A set of textural traits from the 10%-strain compression and puncture methods were identified that differentiate between cultivars primarily based on hardness/stiffness and elasticity properties. The complementary use of both methodologies allowed for a detailed evaluation by capturing the effect of key texture-determining factors such as structure, flesh, and skin. Furthermore, the high effectiveness of this approach in different conditions and its ability to capture high phenotypic variation in cultivars highlights its great potential for applicability in various areas of the value chain and research. Therefore, this study provides an informed reference for unifying future efforts to enhance cranberry fruit texture and quality.

Strong seasonality and unsuspected diversity of haptophytes explored by metabarcoding analysis in the Chinese seas

The haptophytes, are essential components of the marine pico- and nano-plankton but little is known about their diversity and abundance due to the small size. In this study, the taxonomic composition, geographical distribution, and seasonal variation of the haptophytes in the Bohai Sea, the Yellow Sea, and the East China Sea were investigated using DNA metabarcoding in April and October of 2021. A total of 623 and 3756 haptophyte amplicon sequence variants (ASVs) were obtained in spring and autumn, respectively. All currently described or detected haptophyte orders were retrieved, including several deep-branching novel environmental lineages with relative high abundance. The predominant groups were Chrysochromulina, Clade HAP 2-3-4-5, Phaeocystis, and Prymnesium in spring, and Chrysochromulina, Phaeocystis, and Emiliania/Gephyrocapsa Compelx in autumn. The richness and diversity showed seasonal variation, with higher alpha diversity occurred in autumn than that of spring. Different haptophyte taxa exhibited unique spatial distribution patterns and water temperature was significantly correlated with the observed community dissimilarities and was the most influential driving factor in both seasons. Our results highlight the high hidden diversity and seasonal variations of haptophytes in the Chinese seas.