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Nevin Manimala Statistics

Efficacy and safety of automated epidermal micrograft in patients with stable segmental and nonsegmental vitiligo

J Cosmet Dermatol. 2021 Nov 3. doi: 10.1111/jocd.14548. Online ahead of print.

ABSTRACT

Vitiligo is a common, psychologically devastating pigmentary disorder. Surgical graftings are used to treat stable vitiligo when medical treatment fails. An automated epidermal micrograft harvesting (AEMH) system was first designated to treat wounds, and very few studies investigated the application of AEMH in vitiligo. In this study, we investigated the efficacy and safety of the AEMH system in patients with stable segmental and nonsegmental vitiligo. The rate of repigmentation and adverse events was recorded bimonthly for at least 12 months. We analyzed the efficacy based on patient characteristics, vitiligo subtypes, and different anatomical locations. A total of 56 depigmented lesions from 34 patients were included. 95.50% of the automated epidermal micrografts were successfully grafted at the recipient sites. There was a significant improvement in Vitiligo Area Scoring Index (VASI) and Dermatologic Life Quality Index (DLQI) in patients treated with AEMH (p < 0.001). The rate of repigmentation by VASI score improves from 96.25 ± 8.59 to 48.30 ± 28.16 after the treatment (p < 0.001). Treatment outcomes were comparable between the patients of segmental and stable nonsegmental vitiligo. The face and neck region achieved a better outcome, followed by the trunk (chest, abdomen, back, and axilla), limbs, and the worse outcome was found in the acral region (p < 0.014). Conclusively, AEMH is an effective treatment procedure with limited adverse events in patients with stable vitiligo. This harvesting method may be a feasible option for vitiligo surgical treatment.

PMID:34731519 | DOI:10.1111/jocd.14548

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Nevin Manimala Statistics

The effects of a PDL analogue on occlusal contact forces

J Oral Rehabil. 2021 Nov 3. doi: 10.1111/joor.13278. Online ahead of print.

ABSTRACT

BACKGROUND: Previous bench-top studies examined the details of the mechanical environment of rigidly-fixed occluding teeth. It was demonstrated that during each chomp, contacting molar teeth experience in-occlusal-plane forces (Flateral ) that are highly transient in magnitude and direction.

OBJECTIVES: The objectives of this study are to identify Flateral behaviors that are attributable to the presence of a visco-elastic periodontal ligament (PDL) analogue, and to asses the necessity of incorporating it into future studies.

METHODS: A weighted maxillary molar denture tooth was lowered onto, and raised from, a matching mandibular molar 10 times. The latter was supported by a load cell that continuously measured Flateral . For statistical purposes, the test was repeated with 21 (n = 21) different occlusal relationships obtained with 0.05 mm incremental shifts of the lower assembly.

RESULTS: Overall, the results are similar to those of rigid attachment but the details of the Flateral profiles are very different.

CONCLUSION: The PDL plays a major role in the mechanical environment of occlusion, suggesting that, in general (not necessarily always), it should be integrated into studies of occlusion.

PMID:34731498 | DOI:10.1111/joor.13278

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Nevin Manimala Statistics

Super responders to guselkumab treatment in moderate-to-severe psoriasis: a real clinical practice pilot series

Int J Dermatol. 2021 Nov 3. doi: 10.1111/ijd.15784. Online ahead of print.

ABSTRACT

BACKGROUND: The term super responders defines a subset of patients with moderate-to-severe psoriasis that present a rapid and higher rate of response to biological treatments in comparison to the general population. Little scientific evidence to explain the behavior and clinical characteristics of these psoriatic patients has been published thus far. Its characterization could be important to improve therapeutic optimization and to identify the profile of patients that will respond efficiently to biological treatments.

OBJECTIVES: The main objective of this study was to evaluate and characterize the proportion of super-responder patients (who achieved PASI = 0 at week 12 and 24) in a total of 87 patients with moderate-to-severe psoriasis treated with guselkumab. Also, our intent was to analyze and evaluate differences in response to guselkumab in absolute PASI, PASI 75, PASI 90, PASI 100, BSA, VAS pruritus, and DLQI between groups.

RESULTS: A total of 14 out of 87 patients treated with guselkumab were characterized as SR. No differences in demographic characteristics were found. The percentage of patients reaching PASI 75, PASI 90, and PASI 100 were numerically greater for SR than N-SR at week 12, 24, 36, and 52. These differences were more pronounced for PASI 100 > PASI 90 > PASI 75. SR performed better and faster to guselkumab treatment as assessed by absolute PASI, BSA, VAS pruritus, and DLQI. Statistically significant differences were found in absolute PASI, BSA, VAS pruritus, and DLQI between groups along the 52 weeks of study. No differences in drug survival were found between groups (P = 0.3326).

CONCLUSION: Our study demonstrated for the first time, in a real clinical practice setting, the presence of a subpopulation of patients that super respond to guselkumab at week 12 and 24 and maintain this efficacy for 52 weeks. Further research must be performed to identify basal specific characteristics of this SR population.

PMID:34731493 | DOI:10.1111/ijd.15784

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Nevin Manimala Statistics

Network-Driven Drug Discovery

Methods Mol Biol. 2022;2390:177-190. doi: 10.1007/978-1-0716-1787-8_7.

ABSTRACT

We describe an approach to early stage drug discovery that explicitly engages with the complexities of human biology. The combined computational and experimental approach is formulated on a conceptual framework in which network biology is used to bridge between individual molecular entities and the cellular phenotype that emerges when those entities interact in a network. Multiple aspects of early stage discovery are addressed including the data-driven elucidation of biological processes implicated in disease, target identification and validation, phenotypic discovery of active molecules and their mechanism of action, and extraction of genetic target support from human population genetics data. Validation is described via summary of a number of discovery projects and details from a project aimed at COVID-19 disease.

PMID:34731469 | DOI:10.1007/978-1-0716-1787-8_7

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Nevin Manimala Statistics

Applications of Artificial Intelligence in Drug Design: Opportunities and Challenges

Methods Mol Biol. 2022;2390:1-59. doi: 10.1007/978-1-0716-1787-8_1.

ABSTRACT

Artificial intelligence (AI) has undergone rapid development in recent years and has been successfully applied to real-world problems such as drug design. In this chapter, we review recent applications of AI to problems in drug design including virtual screening, computer-aided synthesis planning, and de novo molecule generation, with a focus on the limitations of the application of AI therein and opportunities for improvement. Furthermore, we discuss the broader challenges imposed by AI in translating theoretical practice to real-world drug design; including quantifying prediction uncertainty and explaining model behavior.

PMID:34731463 | DOI:10.1007/978-1-0716-1787-8_1

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Nevin Manimala Statistics

Using structural equation modeling to understand family and psychological factors of childhood obesity: from socioeconomic disadvantage to loss of control eating

Eat Weight Disord. 2021 Nov 3. doi: 10.1007/s40519-021-01323-0. Online ahead of print.

ABSTRACT

PURPOSE: Current study aimed to empirically test the Hemmingsson’s theoretical model of childhood obesity which emphasizing the importance of family environment and the emotional distress of parents as influential variables in the emotional distress of the child and subsequent weight gain. This study also tested the hypothesis that the emotional distress of the child triggers a weight gain-inducing behavior (loss of control eating) to suppress negative emotions.

METHODS: Families of 220 Spanish children participated in the study (28.2% normal, 35.1% overweight and 32.2% obesity), aged between 8 and 12. The evaluation included a clinical interview and a battery of questionnaires.

RESULTS: Structural equation models were computed according to the steps proposed by theoretical model. Fit indices were acceptable suggesting that the data adequately fit the hypothesized model. Path coefficients in the final model were statistically significant showing a relationship between socioeconomic status, the emotional distress of parents, family environment, the emotional distress of children, loss of control eating and child’s BMI Z-score.

CONCLUSION: Considering this relation between emotional distress and child weight status, childhood obesity intervention programs may benefit from targeting family environment and the potential role that food is playing in the regulation of children’s distress.

LEVEL OF EVIDENCE: Level III: Cohort analytic study.

PMID:34731454 | DOI:10.1007/s40519-021-01323-0

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Nevin Manimala Statistics

Revisiting the Open Sampling format: Improving risky choices through a novel graphical representation

Psychon Bull Rev. 2021 Nov 3. doi: 10.3758/s13423-021-02018-4. Online ahead of print.

ABSTRACT

When making risky choices, people often fall short of the norm of expected value (EV) maximization. Previous research has shown that presenting options in the Open Sampling (OSa) format, a 10-by-10 matrix of randomly arranged outcomes, can improve choices and reduce decision times. First, the current research aims to replicate and extend the findings on the OSa format. To this end, we compare OSa to the common description-based format as well as further graphical representations, and investigate the resulting accordance with EV maximization and decision time. Second, we study whether people lower (vs. higher) in numeracy, the ability to use probabilistic and mathematical concepts, particularly benefit from a graphical representation of options. We conducted five high-powered studies (total N = 1,575) in which participants chose repeatedly between two risky gambles, using different populations and gamble-problem sets. Overall, we could not find a benefit of the OSa format in terms of EV accordance in any of the five studies. However, three studies also tested a novel variant of the OSa format with grouped outcomes and found that it consistently improved EV accordance compared with all other formats. All graphical formats led to faster decisions without harming decision quality. The effects of presentation format were not moderated by numeracy in three of the four studies that assessed numeracy. In conclusion, our research introduces a new presentation format which consistently improves risky choices and can also be used to communicate risks in applied contexts such as medical decision making.

PMID:34731442 | DOI:10.3758/s13423-021-02018-4

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Nevin Manimala Statistics

The effect of fiscal decentralization, environmental regulation, and economic development on haze pollution: empirical evidence for 270 Chinese cities during 2007-2016

Environ Sci Pollut Res Int. 2021 Nov 3. doi: 10.1007/s11356-021-17175-1. Online ahead of print.

ABSTRACT

The current discourse addresses fiscal issues, financial decentralization, and environmental quality and significantly affects economic development and sustainability. This investigation aims to address the research gap in fiscal decentralization and haze pollution for innovation and sustainable growth. This study uses the annual data of 270 Chinese cities from 2007 to 2016 for comprehensive analysis and employs spatial regression methods. The key findings imply that haze pollution in neighbouring cities causes further ecological issues. While the environmental regulations of China tend to have negative impacts on pollution, fiscal decentralization was found to be a key contributor to environmental pollution in Chinese cities. Overall, the study supports the validity of the pollution refuge hypothesis in China. Lastly, the conclusions allow us to conclude that China might need micro-level reforms regarding fiscal decentralization, environmental tax laws, and encouragement of cleaner production technologies.

PMID:34731424 | DOI:10.1007/s11356-021-17175-1

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Nevin Manimala Statistics

Blood lead concentrations in children with iron deficiency anemia: a systematic review and meta-analysis

Environ Sci Pollut Res Int. 2021 Nov 3. doi: 10.1007/s11356-021-17301-z. Online ahead of print.

ABSTRACT

Iron deficiency is the most common nutritional disorder detrimental to the behavior, cognitive performance, immune system, and physical growth of infants and preschool- and school-age children. Iron deficiency anemia (IDA) increases children’s susceptibility to some metals, including the highly toxic lead (Pb), but the character of this relationship is still disputed. Thus, this study aimed to review and meta-analyze the association between the IDA and blood lead levels (BLL) among children, based on papers indexed by international scientific databases and published up to September 2021. A search was performed of the literature in several databases including the ISI Web of Science, PubMed, and Scopus. The final papers were assessed concerning their quality based on the Newcastle-Ottawa Scale (NOS) for cross-sectional studies. Moreover, analyses were performed using R statistical software with the “meta” package. Of the 1528 articles found, only 12 studies met the inclusion criteria and were considered in the meta-analysis. Significantly higher BLL in IDA children (SMD = 2.40; CI 95%, 0.93-3.87 µg/L; p = 0.0014) was seen when compared to non-IDA children. Moreover, the pooled OR is equal to 2.75 (CI 95%, 1.10-6.85 µg/L; p = 0.0303) suggesting a higher risk of IDA development among children with BLL > 10 µg/dL. Thus, we recommend systematic monitoring of Fe and Pb levels among children, especially in countries with limited sources of nutritious food. Since only a few studies were available for this meta-analysis, further studies are necessary to examine the association between IDA and BLL in detail.

PMID:34731423 | DOI:10.1007/s11356-021-17301-z

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Nevin Manimala Statistics

Metabolomics insight into the influence of environmental factors in responses of freshwater biofilms to the model herbicide diuron

Environ Sci Pollut Res Int. 2021 Nov 3. doi: 10.1007/s11356-021-17072-7. Online ahead of print.

ABSTRACT

Freshwater biofilms have been increasingly used during the last decade in ecotoxicology due to their ecological relevance to assess the effect(s) of environmental stress at the community level. Despite growing knowledge about the effect of various stressors on the structure and the function of these microbial communities, a strong research effort is still required to better understand their response to chemical stress and the influence of environmental stressors in this response. To tackle this challenge, untargeted metabolomics is an approach of choice because of its capacity to give an integrative picture of the exposure to multiple stress and associated effect as well as identifying the molecular pathways involved in these responses. In this context, the present study aimed to explore the use of an untargeted metabolomics approach to unravel at the molecular/biochemical level the response of the whole biofilm to chemical stress and the influence of various environmental factors in this response. To this end, archived high-resolution mass spectrometry data from previous experiments at our laboratory on the effect of the model photosynthesis inhibitor diuron on freshwater biofilm were investigated by using innovative solutions for OMICs data (e.g., DRomics) and more usual chemometric approaches (multivariate and univariate statistical analyses). The results showed a faster (1 min) and more sensitive response of the metabolome to diuron than usual functional descriptors, including photosynthesis. Also, the metabolomics response to diuron resulted from metabolites following various trends (increasing, decreasing, U/bell shape) along increasing concentration and time. This metabolomics response was influenced by the temperature, photoperiod, and flow. A focus on a plant-specific omega-3 (eicosapentaenoic acid) playing a key role in the trophic chain highlighted the potential relevance of metabolomics approach to establish the link between molecular alteration and ecosystem structure/functioning impairment but also how complex is the response and the influence of all the tested factors on this response at the metabolomics level. Altogether, our results underline that more fundamental researches are needed to decipher the metabolomics response of freshwater biofilm to chemical stress and its link with physiological, structural, and functional responses toward the unraveling of adverse outcome pathways (AOP) for key ecosystem functions (e.g., primary production).

PMID:34731421 | DOI:10.1007/s11356-021-17072-7