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Nevin Manimala Statistics

“Brain age” predicts disability accumulation in multiple sclerosis

Ann Clin Transl Neurol. 2023 Apr 29. doi: 10.1002/acn3.51782. Online ahead of print.

ABSTRACT

OBJECTIVE: Neurodegenerative conditions often manifest radiologically with the appearance of premature aging. Multiple sclerosis (MS) biomarkers related to lesion burden are well developed, but measures of neurodegeneration are less well-developed. The appearance of premature aging quantified by machine learning applied to structural MRI assesses neurodegenerative pathology. We assess the explanatory and predictive power of “brain age” analysis on disability in MS using a large, real-world dataset.

METHODS: Brain age analysis is predicated on the over-estimation of predicted brain age in patients with more advanced pathology. We compared the performance of three brain age algorithms in a large, longitudinal dataset (>13,000 imaging sessions from >6,000 individual MS patients). Effects of MS, MS disease course, disability, lesion burden, and DMT efficacy were assessed using linear mixed effects models.

RESULTS: MS was associated with advanced predicted brain age cross-sectionally and accelerated brain aging longitudinally in all techniques. While MS disease course (relapsing vs. progressive) did contribute to advanced brain age, disability was the primary correlate of advanced brain age. We found that advanced brain age at study enrollment predicted more disability accumulation longitudinally. Lastly, a more youthful appearing brain (predicted brain age less than actual age) was associated with decreased disability.

INTERPRETATION: Brain age is a technically tractable and clinically relevant biomarker of disease pathology that correlates with and predicts increasing disability in MS. Advanced brain age predicts future disability accumulation.

PMID:37119507 | DOI:10.1002/acn3.51782

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Nevin Manimala Statistics

Green finance network evolution and prediction: fresh evidence from China

Environ Sci Pollut Res Int. 2023 Apr 29. doi: 10.1007/s11356-023-27183-y. Online ahead of print.

ABSTRACT

Green finance has become an important reform force to promote the sustainable development of China’s economy. Therefore, it has a great significance for in-depth analysis of the advantages and disadvantages of regional green finance development, to further promote it by clarifying and predicting the regional differences and dynamic evolution trends. Based on this, this paper will select the relevant index from 2001 to 2020 to construct China Green Finance Core Network (CGFCN) in different years by using Space-L method at the first, then analyze its network characteristics and spatial evolution pattern in depth, and finally predict the future development trend of CGFCN by link prediction. The research results show that: firstly, the evolution of CGFCN is mainly divided into three stages: rapid development, stable development and optimal development, and the closeness of CGFCN is constantly improving. Besides, two strong relationship networks are gradually forming, that is Beijing-Tianjin region and the Yangtze River Detla region. Secondly, with the development of green finance, the community division has changed. It is mainly divided into four communities, named the Beijing-Tianjin-Hebei leading community, the eastern provincial community, the Yangtze River Delta community and the central and southern joint community. Different communities will have different integration in different periods. Thirdly, the future development direction of green finance network is mainly Beijing-Tianjin-Hebei region and Yangtze River Delta regions, and their outward radiation are mainly shown in the eastern coastal and central regions, which also have strong development potential. In this regard, it is proposed to coordinate development across provinces to speed up the “urban integration” of green finance services; Establish an efficient community development mechanism and promote the interconnection of green finance markets and infrastructure between different regions; Strengthen the resource flow among regions and coordinate the resource competition of green finance.

PMID:37119493 | DOI:10.1007/s11356-023-27183-y

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The SPL transcription factor genes are potential targets for epigenetic regulation in response to drought stress in chickpea (C. arietinum L.)

Mol Biol Rep. 2023 Apr 29. doi: 10.1007/s11033-023-08347-y. Online ahead of print.

ABSTRACT

BACKGROUND: Crop improvement for tolerance to various biotic and abiotic stress factors necessitates understanding the key gene regulatory mechanisms. One such mechanism of gene regulation involves changes in cytosine methylation at the gene body and flanking regulatory sequences. The present study was undertaken to identify genes which might be potential targets of drought-induced DNA methylation in chickpea.

METHODS AND RESULTS: Two chickpea genotypes, which contrast for drought tolerance, were subjected to drought stress conditions and their differential response was studied by analysing different morpho-physiological traits. Utilizing the in-house, high throughput sequencing data, the SQUAMOSA promoter-binding (SBP) protein-like (SPL) transcription factor genes were identified to be differentially methylated and expressed amongst the two genotypes, in response to drought stress. The methylation status of one of these genes was examined and validated through bisulfite PCR (BS-PCR). The identified genes could be possible homologs to known epialleles and can therefore serve as potential epialleles which can be utilized for crop improvement in chickpea.

CONCLUSION: The SPL TF genes are potential targets of epigenetic regulation in response to drought stress in chickpea. Since these are TFs, they might play important roles in controlling the expression of other genes, thus contributing to differential drought response of the two genotypes.

PMID:37119417 | DOI:10.1007/s11033-023-08347-y

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Genetic polymorphism between the Sorani and Hawrami kurdish populations and COVID-19 outcome

Mol Biol Rep. 2023 Apr 29. doi: 10.1007/s11033-023-08448-8. Online ahead of print.

ABSTRACT

BACKGROUND: Coronavirus Disease 2019 (COVID-19) is a global pandemic, and mortality and clinical consequences vary across countries. One of the factors influencing COVID-19 outcomes is genetic polymorphism. Two Kurdish populations, Sorani and Hawrami, live in the Sulaimani province of the Kurdistan Region of Iraq. It seems Hawrami had a milder COVID-19 outcome. According to previous research conducted on various ethnic groups across the globe, single nucleotide polymorphisms (SNPs) in the interferon-induced transmembrane protein 3 (IFITM3) and interluken-6 (IL6) genes were associated with the severity of COVID-19 in those populations.

METHODS AND RESULTS: We hypothesized that Hawrami may have protective SNPs. So, in this study, we used DNA sequencing to genotype three IFITM3 SNPs and nine IL6 SNPs by DNA sequencing to investigate the association of Sorani and Hawrami population polymorphisms. Genotype AA for the rs12252 SNP in IFITM3 was insignificantly more common in the Sorani group (54% vs. 44%). The Hawrami population showed a higher percentage of the CC genotype of the rs34481144 SNP in the IFITM3 gene (62% vs. 44.3%) and a higher proportion of the non-risky GG genotype of the rs1800795 SNP in the IL6 gene (53.4 vs. 43.3); however, the SNPs were insignificantly associated between the two populations.

CONCLUSIONS: IFITM3 and IL6 SNPs have no statistically significant association between the two Kurdish populations. The decreased proportion of non-risk alleles at rs34481144 and rs1800795 in the Hawrami population may partially support the research hypothesis. However, contrary to our hypothesis, the Sorani group had an insignificantly higher protective variant of the rs12252 SNP.

PMID:37119412 | DOI:10.1007/s11033-023-08448-8

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Expression of genes related to iron homeostasis in breast cancer

Mol Biol Rep. 2023 Apr 29. doi: 10.1007/s11033-023-08433-1. Online ahead of print.

ABSTRACT

BACKGROUND: The dysfunctions in the metabolism of iron have an important role in many pathological conditions, ranging from disease with iron deposition to cancer. Studies on malignant diseases of the breast reported irregular expression in genes associated with iron metabolism. The variations are related to findings that have prognostic significance. This study evaluated the relationship of the expression levels of transferrin receptor 1 (TFRC), iron regulatory protein 1 (IRP1), hepcidin (HAMP), ferroportin 1 (FPN1), hemojuvelin (HFE2), matriptase 2 (TMPRSS6), and miR-122 genes in the normal and malignant tissues of breast cancer patients.

METHODS & RESULTS: The normal and malignant tissues from 75 women with breast malignancies were used in this study. The patients did not receive any treatment previously. Reverse transcription-quantitative polymerase chain reaction (RT-qPCR) was used in figuring the levels of gene expression associated with iron metabolism. When the malignant and normal tissues gene expression levels were analyzed, expression of TFRC increased (1.586-fold); IRP1 (0.594 fold) and miR-122 (0.320 fold) expression decreased; HAMP, FPN1, HFE2, and TMPRSS6 expressions did not change. FPN1 and IRP1 had a positive association, and this association was statistically significant (r = 0.266; p = 0.022). IRP1 and miR-122 had a positive association, and this association had statistical significance (r = 0.231; p = 0.048).

CONCLUSIONS: Our study portrayed the important association between genes involved in iron hemostasis and breast malignancy. The results could be used to establish new diagnostic techniques in the management of breast malignancies. The alterations in the metabolism of malignant breast cells with normal breast cells could be utilized to achieve advantages in treatment.

PMID:37119411 | DOI:10.1007/s11033-023-08433-1

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Barriers to Lactulose Adherence in Patients with Cirrhosis and Hepatic Encephalopathy

Dig Dis Sci. 2023 Apr 29. doi: 10.1007/s10620-023-07935-z. Online ahead of print.

ABSTRACT

BACKGROUND: Hepatic encephalopathy (HE) is a major cause of mortality and morbidity in patients with cirrhosis. Lactulose non-adherence is one of the most frequently reported precipitants of hospital admission for HE.

AIMS: We aimed to identify which factors contribute most to lactulose non-adherence and propose strategies to promote greater adherence and utilization of lactulose.

METHODS: Participants in this study consisted of patients with cirrhosis who were taking lactulose for prevention of HE. Subjects were administered the Morisky Adherence Scale 8 (MAS-8) and a customized 16-question survey that assessed barriers to lactulose adherence. Results from the MAS-8 were used to stratify subjects into “adherent” and “non-adherent” groups. Survey responses were compared between groups.

RESULTS: We enrolled 129 patients in our study, of whom 45 were categorized as “adherent and 72 were categorized as “non-adherent.” Barriers to adherence included large volumes of lactulose, high frequency of dosing, difficulty remembering to take the medication, unpleasant taste, and medication side-effects. Most patients (97%) expressed understanding of the importance of lactulose, and 71% of patients felt that lactulose was working to manage their HE. Hospital admission rates for HE was higher in non-adherent patients, although this difference was not statistically significant.

CONCLUSION: We identified several factors that contribute to lactulose non-adherence among patients treated for HE. Many of these factors are potentially modifiable. Patient and care-giver education are critical to assure adherence. Pharmacists and nurses are an essential but underutilized aspect of education regarding proper medication use.

PMID:37119376 | DOI:10.1007/s10620-023-07935-z

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Incidence, seasonal pattern, and clinical manifestations of Streptococcus dysgalactiae subspecies equisimilis bacteremia; a population-based study

Eur J Clin Microbiol Infect Dis. 2023 Apr 29. doi: 10.1007/s10096-023-04607-8. Online ahead of print.

ABSTRACT

Streptococcus dysgalactiae subspecies equisimilis (SDSE) is a human pathogen causing severe invasive infections. Population-based studies on SDSE bacteremia are limited. The purpose of this study was to investigate the incidence, seasonal pattern, clinical manifestations, and recurrence of SDSE bacteraemia. Records regarding patients aged ≥ 18 years with SDSE bacteremia in the Pirkanmaa health district in August 2015 to July 2018 were retrospectively reviewed. A total of 230 SDSE bacteremia episodes were identified, with 217 episodes (involving 211 patients) available for analysis. The mean annual incidence rate of SDSE bacteremia was 16.9/100 000 inhabitants. Most episodes (33%) were detected in the summer (June to August) (p = 0.058). Episodes with bacteremic cellulitis were statistically significantly more common during the summer compared with other seasons (p = 0.008). Cellulitis was the most common presenting clinical manifestation of SDSE bacteremia (68% of all episodes). Risk factors of recurring bacteremia were chronic eczema and/or skin erosion (OR 3.96 [95% CI 1.11-14.1]), heart disease (OR 3.56 [95% CI 1.22-10.4]), diabetes (OR 3.77 [95% CI 1.35-10.5]) and a history of cellulitis. We found a remarkably high incidence of SDSE bacteraemia in the Pirkanmaa health district. Bacteraemic cellulitis, which was the predominant clinical manifestation is more often occurred in the summer. Risk factors of recurring SDSE bacteremia were a history of cellulitis, chronic eczema or skin erosion, diabetes, and heart disease.

PMID:37119347 | DOI:10.1007/s10096-023-04607-8

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Graphical Discrimination of New Zealand Honey from International Honey Using Elemental Analysis

Biol Trace Elem Res. 2023 Apr 29. doi: 10.1007/s12011-023-03680-6. Online ahead of print.

ABSTRACT

This study investigated the potential of utilising the elemental fingerprinting of honey to differentiate New Zealand (NZ) honey from that of international origin. Twenty elements were analysed by ICP-MS in 352 honeys from 34 various countries. Of these, 323 honeys (245 New Zealand honeys, 78 international) and two subsets of data (NZ and European origin, n = 306, and, NZ and Denmark/Germany, n = 280) were visualised using principal component analysis (PCA). For the NZ/Europe subset, 42.2% of data was explained in the first two principal components. Statistical classification rules were also derived using linear discriminant analysis (LDA) and decision tree analysis. Various combinations of elements were explored for classification, considering the effect of soil-derived elements and those from anthropogenic sources. A high degree of accuracy (at least 90%) for the characterisation of New Zealand honey was observed for all statistical models, showing the robustness of these analyses. When using decision tree analysis to distinguish New Zealand samples from international samples, a tree with five terminal nodes (using Cs, Ba and Rb) was created with 92.4% accuracy. This work has demonstrated that elemental fingerprints of honey are a promising tool for categorising New Zealand honey from other geographical locations.

PMID:37119341 | DOI:10.1007/s12011-023-03680-6

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Hip fracture incidence and post-fracture mortality in Victoria, Australia: a state-wide cohort study

Arch Osteoporos. 2023 Apr 29;18(1):56. doi: 10.1007/s11657-023-01254-6.

ABSTRACT

Hip fractures are a major public health concern. Number of hip fractures cases increased by 20% from 2012 to 2018. Factors associated with post-fracture mortality included men, those who are frail, living in a non-metropolitan region, or residing in a residential aged care facility. Our results are useful for planning healthcare interventions.

PURPOSE: Hip fractures are a major public health concern in Australia. Data on hip fracture incidence and mortality are needed to plan and evaluate healthcare interventions. The aims of the study were to investigate (1) the time-trend in absolute number and incidence of first hip fractures, and (2) factors associated with mortality following first hip fractures in Victoria, Australia.

METHODS: A state-wide cohort study of all patients aged [Formula: see text] 50 years admitted to a Victorian hospital for first hip fracture between July 2012 and June 2018. Annual age-standardized incidence rates were calculated using population data from Australian Bureau of Statistics. Multivariate negative binomial regression was used to investigate factors associated with post-fracture mortality.

RESULTS: Overall, 31,578 patients had a first hip fracture, of whom two-thirds were women and 47% were [Formula: see text] 85 years old. Absolute annual numbers of first hip fractures increased by 20%. There was no significant change in age- and sex-adjusted incidence. In total, 8% died within 30 days and 25% within 1 year. Factors associated with 30-day mortality included age (≥ 85 years old versus 50-64 years old, mortality rate ratio [MRR] 8.05, 95% confidence interval [CI] 5.86-11.33), men (MRR 2.11, 95% CI 1.88-2.37), higher Hospital Frailty Risk Scores (high frailty versus no frailty, MRR 3.46, 95% CI 2.66-4.50), admission from a residential aged care facility (RACF) (MRR 2.28, 95% CI 1.85-2.82), and residing in a non-metropolitan region (MRR 1.22, 95% CI 1.09-1.38). The same factors were associated with 1-year mortality.

CONCLUSION: The absolute increase in hip fractures highlights the need for interventions to reduce fracture risk, especially for those at higher risk of post-fracture mortality, including men and those who are frail, living in a non-metropolitan region, or residing in a RACF.

PMID:37119328 | DOI:10.1007/s11657-023-01254-6

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Unmet healthcare needs among the population aged 50+ and their association with health outcomes during the COVID-19 pandemic

Eur J Ageing. 2023 Apr 29;20(1):12. doi: 10.1007/s10433-023-00758-x.

ABSTRACT

The COVID-19 pandemic led to unprecedented levels of subjective unmet healthcare needs (SUN). This study investigates the association between SUN in 2020 and three health outcomes in 2021-mortality, cancer, and self-assessed health (SAH), among adults aged 50 years and older, using data from the regular administration of the Survey of Health, Ageing and Retirement in Europe and from the two special waves administered in 2020 and 2021 regarding COVID-19. Three types of SUN were surveyed: care foregone due to fear of contracting COVID-19, pre-scheduled care postponed, and inability to get medical appointments or treatments demanded. We resort on the relative risk and the logistic specification to investigate the association between SUN and health outcomes. To avoid simultaneity, 1-year lagged SUN variables are used. We found a negative association between SUN and mortality. This result differs from the (scarce) previous evidence, suggesting that health systems prioritised life-threatening conditions, in the pandemic context. In line with previous studies, we obtained a positive association between SUN and worse health, in the case of cancer, though it is statistically significant only for the global measure of SUN (any reason). The higher chances of reporting cancer among those exposed to SUN might mean delayed cancer diagnosis, confirming that healthcare foregone was truly needed for a timely diagnosis. The association between SUN and poor or fair SAH is positive but not statistically significant, for the period analysed.

PMID:37119316 | DOI:10.1007/s10433-023-00758-x