Nevin Manimala

Diabetes Obes Metab. 2023 Jun 19. doi: 10.1111/dom.15177. Online ahead of print.

ABSTRACT

AIM: Early identification of incident chronic kidney disease (CKD) in individuals with diabetes may help improve patients’ clinical outcomes. This study aimed to develop a prediction equation for incident CKD among people with type 2 diabetes (T2D).

MATERIALS AND METHODS: A time-varying Cox model was applied to data from the ACCORD trial to predict the risk of incident CKD. A list of candidate variables was chosen based on literature reviews and experts’ consultations, including demographic characteristics, vitals, laboratory results, medical history, drug use and health care utilization. Model performance was evaluated. Decomposition analysis was conducted, and external validation was performed.

RESULTS: In total, 6006 patients with diabetes free of CKD were included, with a median follow-up of 3 years and 2257 events. The risk model included age at T2D diagnosed, smoking status, body mass index, high-density lipoprotein, very-low-density lipoprotein, alanine aminotransferase, estimated glomerular filtration rate, urine albumin-creatinine ratio, hypoglycaemia, retinopathy, congestive heart failure, coronary heart disease history, antihyperlipidaemic drug use, antihypertensive drug use and hospitalization. The urine albumin-creatinine ratio, estimated glomerular filtration rate and congestive heart failure were the top three factors that contributed most to the incident CKD prediction. The model showed acceptable discrimination [C-statistic: 0.772 (95% CI 0.767-0.805)] and calibration [Brier Score: 0.0504 (95% CI 0.0477-0.0531)] in the Harmony Outcomes Trial.

CONCLUSION: Incident CKD prediction among individuals with T2D was developed and validated for use in decision support of CKD prevention.

PMID:37334525 | DOI:10.1111/dom.15177

Philos Trans A Math Phys Eng Sci. 2023 Aug 7;381(2252):20220294. doi: 10.1098/rsta.2022.0294. Epub 2023 Jun 19.

ABSTRACT

We start with a brief review on social laser theory which is newly framed with the notion of an infon-social energy quantum carrying coarse-grained information content. Infons are the excitations of the quantum social-information field. Humans are analogues of atoms-social atoms absorbing and emitting infons. Another new development is coupling of the social laser with the decision making model based on open quantum systems. The role of the environment for social atoms is played by the strong coherent social-information field-the output of social lasing. We analyse a simple quantum master equation generating decision jumps towards the coherent decision directed by the social laser beam. As an illustrative example, we analyse the possibility to create a societal benefit laser, i.e. directed for societal benefit. This article is part of the theme issue ‘Thermodynamics 2.0: Bridging the natural and social sciences (Part 1)’.

PMID:37334450 | DOI:10.1098/rsta.2022.0294

Philos Trans A Math Phys Eng Sci. 2023 Aug 7;381(2252):20220281. doi: 10.1098/rsta.2022.0281. Epub 2023 Jun 19.

ABSTRACT

Thermodynamics is regarded as a universal but not foundational theory because its laws for macroscopic quantities have not been derived from microscopic entities. Thus, to root thermodynamics into the fundamental substance, atomism is revived, thinking that the light quantum is the indivisible and permanent element. Assuming the same basic building blocks constitute everything, the state of any system can be quantified by entropy, the logarithmic probability measure multiplied by Boltzmann’s constant. Then, the change in entropy expresses the system’s evolution toward thermodynamic balance with its surroundings. These natural processes consuming free energy in the least time accumulate sigmoidally, resulting in skewed distributions found throughout nature. In this way, thermodynamics makes sense of phenomena across disciplines and provides a holistic worldview to address questions such as what the world is, how we know about it, what is the meaning of life and how we should live. This article is part of the theme issue ”Thermodynamics 2.0: Bridging the natural and social sciences (Part 1)’.

PMID:37334448 | DOI:10.1098/rsta.2022.0281

J Appl Toxicol. 2023 Jun 18. doi: 10.1002/jat.4504. Online ahead of print.

ABSTRACT

Alcohol consumption is associated with an increased risk of breast cancer, even at low alcohol intake levels, but public awareness of the breast cancer risk associated with alcohol intake is low. Furthermore, the causative mechanisms underlying alcohol’s association with breast cancer are unknown. The present theoretical paper uses a modified grounded theory method to review the research literature and propose that alcohol’s association with breast cancer is mediated by phosphate toxicity, the accumulation of excess inorganic phosphate in body tissue. Serum levels of inorganic phosphate are regulated through a network of hormones released from the bone, kidneys, parathyroid glands, and intestines. Alcohol burdens renal function, which may disturb the regulation of inorganic phosphate, impair phosphate excretion, and increase phosphate toxicity. In addition to causing cellular dehydration, alcohol is an etiologic factor in nontraumatic rhabdomyolysis, which ruptures cell membranes and releases inorganic phosphate into the serum, leading to hyperphosphatemia. Phosphate toxicity is also associated with tumorigenesis, as high levels of inorganic phosphate within the tumor microenvironment activate cell signaling pathways and promote cancer cell growth. Furthermore, phosphate toxicity potentially links cancer and kidney disease in onco-nephrology. Insights into the mediating role of phosphate toxicity may lead to future research and interventions that raise public health awareness of breast cancer risk and alcohol consumption.

PMID:37332052 | DOI:10.1002/jat.4504

Ther Innov Regul Sci. 2023 Jun 10. doi: 10.1007/s43441-023-00546-w. Online ahead of print.

NO ABSTRACT

PMID:37332050 | DOI:10.1007/s43441-023-00546-w

J Egypt Natl Canc Inst. 2023 Jun 19;35(1):18. doi: 10.1186/s43046-023-00174-3.

ABSTRACT

BACKGROUND: Acute lymphoblastic leukemia (ALL) is a malignancy that leads to altered blast cell proliferation, survival, and maturation and eventually to the lethal accumulation of leukemic cells. Recently, dysregulated expression of various micro-RNAs (miRNAs) has been reported in hematologic malignancies, especially ALL. Cytomegalovirus infection can induce ALL in otherwise healthy individuals, so a more detailed evaluation of its role in ALL-endemic areas like Iran is required.

METHODS: In this cross-sectional study, 70 newly diagnosed adults with ALL were recruited. The expression level of microRNA-155(miR-155) and microRNA-92(miR-92) was evaluated by real-time SYBR Green PCR. The correlations between the miRNAs mentioned above and the severity of disease, CMV infection, and acute graft vs. host disease after hematopoietic stem cell transplantation (HSCT) were assessed. B cell and T cell ALL distinction in the level of miRNAs was provided.

RESULTS: After the statistical analysis, our results indicated a marked increase in the expression of miR-155 and miR-92 in ALL patients vs. healthy controls (*P = 0.002-*P = 0.03, respectively). Also, it was shown that the expression of miR-155 and miR-92 was higher in T cell ALL compared to B cell ALL (P = 0.01-P = 0.004, respectively), CMV seropositivity, and aGVHD.

CONCLUSION: Our study suggests that the plasma signature of microRNA expression may act as a powerful marker for diagnosis and prognosis, providing knowledge outside cytogenetics. Elevation of miR-155 in plasma can be a beneficial therapeutic target for ALL patients, with consideration of higher plasma levels of miR-92 and miR-155 in CMV + and post-HSCT aGVHD patients.

PMID:37332027 | DOI:10.1186/s43046-023-00174-3

Brief Bioinform. 2023 Jun 17:bbad232. doi: 10.1093/bib/bbad232. Online ahead of print.

ABSTRACT

Trans-ethnic genome-wide association studies have revealed that many loci identified in European populations can be reproducible in non-European populations, indicating widespread trans-ethnic genetic similarity. However, how to leverage such shared information more efficiently in association analysis is less investigated for traits in underrepresented populations. We here propose a statistical framework, trans-ethnic genetic risk score informed gene-based association mixed model (GAMM), by hierarchically modeling single-nucleotide polymorphism effects in the target population as a function of effects of the same trait in well-studied populations. GAMM powerfully integrates genetic similarity across distinct ancestral groups to enhance power in understudied populations, as confirmed by extensive simulations. We illustrate the usefulness of GAMM via the application to 13 blood cell traits (i.e. basophil count, eosinophil count, hematocrit, hemoglobin concentration, lymphocyte count, mean corpuscular hemoglobin, mean corpuscular hemoglobin concentration, mean corpuscular volume, monocyte count, neutrophil count, platelet count, red blood cell count and total white blood cell count) in Africans of the UK Biobank (n = 3204) while utilizing genetic overlap shared in Europeans (n = 746 667) and East Asians (n = 162 255). We discovered multiple new associated genes, which had otherwise been missed by existing methods, and revealed that the trans-ethnic information indirectly contributed much to the phenotypic variance. Overall, GAMM represents a flexible and powerful statistical framework of association analysis for complex traits in underrepresented populations by integrating trans-ethnic genetic similarity across well-studied populations, and helps attenuate health inequities in current genetics research for people of minority populations.

PMID:37332016 | DOI:10.1093/bib/bbad232

BMC Nurs. 2023 Jun 19;22(1):209. doi: 10.1186/s12912-023-01370-1.

ABSTRACT

BACKGROUND: Despite an existing body of literature on anxiety reduction using multi-component methods, little is known about the effect of active student participation in research and communication of scientific information on anxiety and fear reduction. The aim of this study is to evaluate the impact of quality scientific information research and the production of informative videos on the preventive aspects of COVID-19 on fear and anxiety reduction.

METHODS: A randomised controlled trial was conducted with 220 undergraduate nursing students in the first year of the nursing degree. The participating students were randomised into two groups. The experimental group carried out an intervention based on a database search for information on preventing COVID-19 and production of a video giving scientific reasons why prevention measures should be followed. In the control group, students created posters and videos about theoretical aspects of one module of the nursing degree. Both groups were surveyed before and after the intervention, measuring their state of resilience, preventive behaviours, level of anxiety, and fear of COVID-19.

RESULTS: The intervention group showed a greater decrease in fear levels after the intervention than those in the control group. There were no differences between the groups in terms of resilience, preventive behaviours, or anxiety. In the experimental group, there was a significant decrease in anxiety levels and fear levels after the intervention compared to the baseline levels.

CONCLUSIONS: An intervention based on active participation in searches for high-quality scientific information and production of information videos on COVID-19 prevention reduced fear and anxiety caused by COVID-19 among nursing students.

TRIAL REGISTRATION: We have retrospectively registered the trial in Open Science Framework and the identification number is https://doi.org/10.17605/OSF.IO/6QU5S .

PMID:37332015 | DOI:10.1186/s12912-023-01370-1

J Public Health Policy. 2023 Jun 18. doi: 10.1057/s41271-023-00421-w. Online ahead of print.

ABSTRACT

The study assessed the utilization of participatory monitoring and evaluation approaches (PM&E) and their influence on decision-making in maternal and newborn health programs (MNH) in Mombasa County, Kenya. We conducted a cross-sectional study with a sample of 390 participants and used a structured questionnaire, modified Quality of Decision-Making Orientation Scheme, and an interview guide to collect data. We analyzed quantitative responses using descriptive statistics and binary logistic regression (at significance level of 0.05) and qualitative responses using content analysis. The study established that quality decision-making was more likely to occur in MNH programs in Mombasa County that used PM&E approaches at the initiation (OR 1.728, p < 0.05), design and planning (OR 2.977, p < 0.05), and implementation (OR 5.665, p < 0.05) phases of MNH programs than in those that did not use the PM&E approaches. This study shapes a persuasive case for improving the provision of maternal and newborn health services.

PMID:37331997 | DOI:10.1057/s41271-023-00421-w

Acta Radiol. 2023 Jun 18:2841851231180291. doi: 10.1177/02841851231180291. Online ahead of print.

ABSTRACT

BACKGROUND: Non-invasive detection of isocitrate dehydrogenase (IDH) mutational status in gliomas is clinically meaningful for molecular stratification of glioma; however, it remains challenging.

PURPOSE: To investigate the usefulness of texture analysis (TA) of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and histogram analysis of diffusion kurtosis imaging (DKI) maps for evaluating IDH mutational status in gliomas.

MATERIAL AND METHODS: This retrospective study enrolled 84 patients with histologically confirmed gliomas, comprising IDH-mutant (n = 34) and IDH-wildtype (n = 50). TA was performed for the quantitative parameters derived by DCE-MRI. Histogram analysis was performed for the quantitative parameters derived by DKI. Unpaired Student’s t-test was used to identify IDH-mutant and IDH-wildtype gliomas. Logistic regression and receiver operating characteristic (ROC) curve analyses were used to compare the diagnostic performance of each parameter and their combination for predicting the IDH mutational status in gliomas.

RESULTS: Significant statistical differences in the TA of DCE-MRI and histogram analysis of DKI were observed between IDH-mutant and IDH-wildtype gliomas (all P < 0.05). Using multivariable logistic regression, the entropy of K^trans, skewness of V_e, and K_app-90th had higher prediction potential for IDH mutations with areas under the ROC curve (AUC) of 0.915, 0.735, and 0.830, respectively. A combination of these analyses for the identification of IDH mutation improved the AUC to 0.978, with a sensitivity and specificity of 94.1% and 96.0%, respectively, which was higher than the single analysis (P < 0.05).

CONCLUSION: Integrating the TA of DCE-MRI and histogram analysis of DKI may help to predict the IDH mutational status.

PMID:37331987 | DOI:10.1177/02841851231180291