Nevin Manimala

Anal Chem. 2023 Apr 10. doi: 10.1021/acs.analchem.2c05292. Online ahead of print.

ABSTRACT

Plasmonic nanoparticles are finding applications within the single molecule sensing field in a “dimer” format, where interaction of the target with hairpin DNA causes a decrease in the interparticle distance, leading to a localized surface plasmon resonance shift. While this shift may be detected using spectroscopy, achieving statistical relevance requires the measurement of thousands of nanoparticle dimers and the timescales required for spectroscopic analysis are incompatible with point-of-care devices. However, using dark-field imaging of the dimer structures, simultaneous digital analysis of the plasmonic resonance shift after target interaction of thousands of dimer structures may be achieved in minutes. The main challenge of this digital analysis on the single-molecule scale was the occurrence of false signals caused by non-specifically bound clusters of nanoparticles. This effect may be reduced by digitally separating dimers from other nanoconjugate types. Variation in image intensity was observed to have a discernible impact on the color analysis of the nanoconjugate constructs and thus the accuracy of the digital separation. Color spaces wherein intensity may be uncoupled from the color information (hue, saturation, and value (HSV) and luminance, a* vector, and b* vector (LAB) were contrasted to a color space which cannot uncouple intensity (RGB) to train a classifier algorithm. Each classifier algorithm was validated to determine which color space produced the most accurate digital separation of the nanoconjugate types. The LAB-based learning classifier demonstrated the highest accuracy for digitally separating nanoparticles. Using this classifier, nanoparticle conjugates were monitored for their plasmonic color shift after interaction with a synthetic RNA target, resulting in a platform with a highly accurate yes/no response with a true positive rate of 88% and a true negative rate of 100%. The sensor response of tested single stranded RNA (ssRNA) samples was well above control responses for target concentrations in the range of 10 aM-1 pM.

PMID:37036670 | DOI:10.1021/acs.analchem.2c05292

Biochem Genet. 2023 Apr 10. doi: 10.1007/s10528-023-10372-2. Online ahead of print.

ABSTRACT

Previous studies found that the circadian clock gene participated in the genesis and development of breast cancer. However, research findings on the relationship between polymorphisms in the CLOCK gene and breast cancer risk were inconsistent. This study performed a meta-analysis of the association between CLOCK gene polymorphisms and breast cancer risk. PubMed, Cochrane Library, and Embase databases were electronically searched to collect studies on the association between CLOCK gene polymorphisms and breast cancer risk from inception to February 14, 2022. The quality of the included literature was assessed using the Newcastle-Ottawa Scale. For statistical analysis, odds ratio (OR) and 95% confidence intervals (CIs) were calculated using STATA 14.0. In addition, publication bias was performed by the funnel diagram and the Harbord’s regression test. And sensitivity analysis was assessed by the trim and fill method. A total of 6 eligible studies, including 10,164 subjects (5488 breast cancer cases and 4676 controls), were screened in this meta-analysis. Though we did not find a significant association between the polymorphisms in the overall CLOCK gene with breast cancer risk [OR (95%CI) = 0.98 (0.96, 1.01), P = 0.148], we found that compared with T/T types of rs3749474 in CLOCK, T/C and C/C types of rs3749474 were associated with lower risk of breast cancer [OR (95%CI) = 0.93 (0.88, 0.98), P = 0.003]. The sensitivity analysis confirmed the robustness of the results. The funnel plot showed no significant publication bias. Polymorphisms in the CLOCK gene might be associated with breast cancer risk. More studies are needed to confirm the conclusion.

PMID:37036639 | DOI:10.1007/s10528-023-10372-2

Environ Monit Assess. 2023 Apr 10;195(5):551. doi: 10.1007/s10661-023-11030-1.

ABSTRACT

This study compiles commonly available groundwater chemistry data from the Pearl Harbor Sole Source Aquifer (SSA), Hawai’i-O’ahu’s primary drinking water source-and applies hierarchical clustering analysis (HCA), principal component analyses (PCA), piper diagrams, and box plots with geospatial analysis to better define groundwater regions and correlate groundwater chemistry in those regions with land use. Groundwater in this aquifer recharges and flows through chemically similar soil and rocks, such that anthropogenic activities are a primary influence on the chemical variability of the aquifer’s differing regions. Our analyses link specific chemical species in groundwater to land use/cover categories: urban, agriculture, and natural and anthropogenically-induced saline water intrusion. To create distinct statistical groupings with different groundwater chemistry compositions, it was important that the suite of parameters used in the statistical analysis do not covary. In our case, Cl^– covaried with several major ions; however, by including F^–, alkalinity, and SiO_x that do not covary with Cl^– in the covariance matrix, we produced improved spatial grouping of HCA clusters and stronger affinities to land use designations. Results show that dominant groundwater chemistry changes with land use along flow paths. These results pertain to areas where groundwater flows from conservation land in high recharge areas of O’ahu’s mountain ranges to urban and agricultural land use regions: groundwater retains its source characteristics until about 3-6 km into agricultural and urban zoned lands. Ultimately, this study outlines a simple method for water quality regulators to use groundwater chemistry to identify risks of target contaminants based on land use.

PMID:37036575 | DOI:10.1007/s10661-023-11030-1

Anim Cogn. 2023 Apr 10. doi: 10.1007/s10071-023-01769-y. Online ahead of print.

ABSTRACT

Few studies have considered how signal detection parameters evolve during acquisition periods. We addressed this gap by training mice with differential prior experience in a conditional discrimination, auditory signal detection task. Naïve mice, mice given separate experience with each of the later correct choice options (Correct Choice Response Transfer, CCRT), and mice experienced in conditional discriminations (Conditional Discrimination Transfer, CDT) were trained to detect the presence or absence of a tone in white noise. We analyzed data assuming a two-period model of acquisition: a pre-solution and solution period (Heinemann EG (1983) in The Presolution period and the detection of statistical associations. In: Quantitative analyses of behavior: discrimination processes, vol. 4, pp. 21-36). Ballinger. http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.536.1978andrep=rep1andtype=pdf ). The pre-solution period was characterized by a selective sampling of biased response strategies until adoption of a conditional responding strategy in the solution period. Correspondingly, discriminability remained low until the solution period; criterion took excursions reflecting response-strategy sampling. Prior experience affected the length and composition of the pre-solution period. Whereas CCRT and CDT mice had shorter pre-solution periods than naïve mice, CDT and Naïve mice developed substantial criterion biases and acquired asymptotic discriminability faster than CCRT mice. To explain these data, we propose a learning model in which mice selectively sample and test different response-strategies and corresponding task structures until they exit the pre-solution period. Upon exit, mice adopt the conditional responding strategy and task structure, with action values updated via inference and generalization from the other task structures. Simulations of representative mouse data illustrate the viability of this model.

PMID:37036556 | DOI:10.1007/s10071-023-01769-y

Neuroinformatics. 2023 Apr 10. doi: 10.1007/s12021-023-09630-w. Online ahead of print.

ABSTRACT

In this paper we demonstrate a generalized and simplified pipeline called axonal spectrum imaging (AxSI) for in-vivo estimation of axonal characteristics in the human brain. Whole-brain estimation of the axon diameter, in-vivo and non-invasively, across all fiber systems will allow exploring uncharted aspects of brain structure and function relations with emphasis on connectivity and connectome analysis. While axon diameter mapping is important in and of itself, its correlation with conduction velocity will allow, for the first time, the explorations of information transfer mechanisms within the brain. We demonstrate various well-known aspects of axonal morphometry (e.g., the corpus callosum axon diameter variation) as well as other aspects that are less explored (e.g., axon diameter-based separation of the superior longitudinal fasciculus into segments). Moreover, we have created an MNI based mean axon diameter map over the entire brain for a large cohort of subjects providing the reference basis for future studies exploring relation between axon properties, its connectome representation, and other functional and behavioral aspects of the brain.

PMID:37036548 | DOI:10.1007/s12021-023-09630-w

Support Care Cancer. 2023 Apr 10;31(5):251. doi: 10.1007/s00520-023-07724-4.

ABSTRACT

OBJECTIVE: This study is to explore the effect of the Plan-Do-Check-Act (PDCA) cycle on the nutritional management of patients with nasopharyngeal carcinoma (NPC).

METHODS: A total of 100 NPC patients were randomly divided into a control group and a PDCA group, with 50 patients in each group. The control group adopted a routine nutritional management strategy, and the PDCA group adopted a PDCA cycle management strategy. The body weight, body mass index (BMI), hemoglobin, serum prealbumin, serum albumin, the Patient-Generated Subjective Global Assessment (PG-SGA) score, the Nutrition Risk Screening 2002 (NRS-2002) score, the incidence rate of nutritional risk, the grade of malnutrition, and the grade of oral mucositis were compared between the two groups.

RESULTS: The body weight, BMI, and serum prealbumin in the PDCA group were higher than those in the control group, and the difference was statistically significant (p < 0.05). The NRS2002 score and PG-SGA score in the PDCA group were lower than those in the control group, and the differences were statistically significant (p < 0.05). The incidence of nutritional risk, the grade of malnutrition, and the grade of oral mucositis were less in the PDCA group than those in the control group (p < 0.05). There was no significant difference in hemoglobin and serum albumin between the two groups (p > 0.05).

CONCLUSION: The PDCA cycle can improve body weight, BMI, and serum prealbumin in NPC patients. It can reduce the NRS2002 score, the PG-SGA score, the incidence of nutritional risk, the severity of malnutrition, and the severity of oral mucositis in NPC patients.

PMID:37036536 | DOI:10.1007/s00520-023-07724-4

J Bone Miner Metab. 2023 Apr 10. doi: 10.1007/s00774-023-01418-x. Online ahead of print.

ABSTRACT

INTRODUCTION: To analyze the association between α-tocopherol intake and cadmium (Cd) exposure and osteoporosis in population ≥ 50 years.

MATERIALS AND METHODS: Sociodemographic data, physical examination, and laboratory indicators including serum Cd level and dietary α-tocopherol intake of 8459 participants were extracted from the National Health and Nutrition Examination Survey (NHANES) database in this cross-sectional study. The associations between α-tocopherol intake, serum Cd levels and osteoporosis were evaluated using univariate and multivariate logistic regression analyses, with the estimated value (β), odds ratios (ORs) and 95% confidence intervals (CIs). We further explored the impact of α-tocopherol intake on Cd exposure and the bone mineral density (BMD) in total femur and femur neck.

RESULTS: A total of 543 old adults suffered from osteoporosis. The serum Cd level (0.52 μg/L vs. 0.37 μg/L) and α-tocopherol intake (5.28 mg vs. 6.50 mg) were statistical different in osteoporosis group and non-osteoporosis group, respectively. High level of Cd exposure was related to the increased risk of osteoporosis [OR = 1.60, 95% CI (1.15-2.21)]. In the total femur, α-tocopherol intake may improve the loss of BMD that associated with Cd exposure [β = – 0.047, P = 0.037]. Moreover, high α-tocopherol intake combined with low Cd exposure [OR = 0.54, 95% CI (0.36-0.81)] was linked to the decreased risk of osteoporosis comparing with low α-tocopherol intake combined with high Cd exposure.

CONCLUSION: High α-tocopherol intake may improve the Cd-related osteoporosis and loss of BMD that could provide some dietary reference for prevention of osteoporosis in population ≥ 50 years old.

PMID:37036532 | DOI:10.1007/s00774-023-01418-x

Clin Oral Investig. 2023 Apr 10. doi: 10.1007/s00784-023-04988-2. Online ahead of print.

ABSTRACT

OBJECTIVES: To evaluate the relationship between pain inflammation due to dental caries and growth parameters, sleep disturbances, and oral health-related quality of life (OHRQoL) in preschool children before/after dental treatment and compare the results with the control group.

MATERIALS AND METHODS: Study (pain inflammation due to caries) and control groups were included in this prospective clinical trial. The Child Sleep Habits Questionnaire (CSHQ) assessing sleep disturbances and the Early Childhood Oral Health Impact Scale (ECOHIS) assessing OHRQoL were applied in the corresponding time intervals to the study and control groups, respectively: baseline (T0_study), 7 days after treatment (T1_study), and following 6 months (T2_study); baseline (T0_control), and the following 6 months (T2_control). Biochemical growth parameters (insulin-like growth factor-1 and insulin-like growth factor binding protein-3) and anthropometric measurements (standard deviation score of height, weight, and body mass index) were obtained at T0_study, T2_study, and T0_control. Mann-Whitney U and the Student t-tests were used for statistical analyses. The significance level was set at p < 0.05.

RESULTS: Data on 45 children (mean age: 55.6 ± 10.37 months) were analyzed. T2_study was statistically higher than T0_study for the anthropometric measurements and biochemical growth parameters (p < 0.05). T0_study was statistically higher than T0_control for biochemical growth parameters (p < 0.05). CSHQ and ECOHIS scores were found statistically significant at T0_study than T0_control (p < 0.05). Statistical scores of CSHQ and ECOHIS in T2_study were significantly reduced compared to T0_study (p < 0.05).

CONCLUSION: Children’s growth parameters, sleep disturbances, and OHRQoL improved after the elimination of pain and inflammation.

CLINICAL RELEVANCE: This study’s novelty is the observation of drastically increased growth parameters and reduced sleep disturbances following dental treatment.

PMID:37036512 | DOI:10.1007/s00784-023-04988-2

Graefes Arch Clin Exp Ophthalmol. 2023 Apr 10. doi: 10.1007/s00417-023-06042-z. Online ahead of print.

ABSTRACT

PURPOSE: This study is to assess the possible correlation between findings on fundus autofluorescence (FAF) and fluorescein angiography (FA) in patients with chronic central serous chorioretinopathy (cCSC).

METHODS: This multicentre retrospective cohort study included 71 cCSC patients (92 eyes) with at least 6 months of follow-up, who had a FAF-FA imaging discrepancy larger than 0.5 optic disc diameters in size in the corresponding areas of hyperfluorescent abnormalities. A comparison was performed between progression in size of areas of hyperautofluorescent retinal pigment epithelium (RPE) abnormalities on FAF (HF-FAF) and the hyperfluorescent areas on FA (HF-FA) at first visit and last visit. The possible correlations were estimated between FAF-FA discrepancy and disease characteristics.

RESULTS: The median area of HF-FAF at first visit was 7.48 mm² (1.41-27.9). The median area of HF-FA at first visit and last visit was 2.40 mm² (0.02-17.27) and 5.22 mm² (0.53-25.62), respectively. FAF-FA discrepancy was associated with follow-up duration and the area of HF-FAF at first visit. A mathematical algorithm for grading FAF-FA discrepancy in time was suggested, which predicted the enlargement of hyperfluorescent RPE abnormalities on FA in 82.6% of cases.

CONCLUSION: There is a statistically significant relationship between the areas of HF-FAF and HF-FA in cCSC patients with FAF-FA imaging discrepancy at first presentation. Long-term changes in RPE alterations in cCSC on FA can be predicted based on baseline HF-FAF and follow-up duration.

PMID:37036511 | DOI:10.1007/s00417-023-06042-z

Acta Diabetol. 2023 Apr 10. doi: 10.1007/s00592-023-02084-1. Online ahead of print.

ABSTRACT

AIMS: This study examined whether the Chronic Care Model can be successfully applied to improve health outcome measures for uninsured, undocumented immigrants with diabetes at a free, non-federally funded community clinic.

METHODS: Data were collected from 128 uninsured, undocumented immigrants enrolled in Programa de diabetes, a comprehensive diabetes program at People’s Health Clinic based on the six core elements of the Chronic Care Model. All study participants self-identified by the Hispanic ethnicity. A longitudinal study design was used to compare baseline diabetic health measures with outcome data after patient program participation over a 12-month enrollment period. Linear mixed effect model was used to determine the patient specific change in HbA1C across time, controlling for gender, age, food insecurity, income level, diabetes type, and literacy. In addition, McNemar tests were conducted to compare the coverage of eye exams and statin use before and after program enrollment.

RESULTS: After program enrollment, individual specific change in HbA1C was expected to be – 0.201 [95% CI 0.244, – 0.158] % per month after controlling for baseline covariates. There were statistically significant improvements in both eye exam coverage (p < 0.01) and statin use (p < 0.01).

CONCLUSIONS: The Chronic Care Model can be successfully applied to improve health outcome measures at a free, non-federally funded community clinic among uninsured, undocumented immigrants, who identify by the Hispanic ethnicity and have the diagnosis of diabetes. Barriers to care including food insecurity, federal poverty level and illiteracy do not preclude glycemic control.

PMID:37036509 | DOI:10.1007/s00592-023-02084-1