Probabilistic prediction of segmental body composition in Iranian children and adolescents.

BACKGROUND: Adolescents' body composition is considered an important measure to evaluate health status. An examination of any of the segmental compartments by anthropometric indices is a more usable method than direct methods. OBJECTIVES: To propose a method based on the network approach for predicting segmental body composition components in adolescent boys and girls using anthropometric measurements. METHODS: A dual-energy X-ray absorptiometry (DXA) dataset in the south of Iran, including 476 adolescents (235 girls and 241 boys) with a range of 9-18 years, was obtained. Several anthropometric prediction models based on the network approach were fitted to the training dataset (TRD 80%) using bnlearn, an R add-in package. The best fitted models were applied to the validation dataset (VAD 20%) to assess the prediction accuracy. RESULTS: Present equations consisting of age, weight, height, body mass index (BMI), and hip circumference accounted for 0.85 (P < 0.001) of the variability of DXA values in the corresponding age groups of boys. Similarly, reasonable estimates of DXA values could be obtained from age, weight, height, and BMI in girls over 13 years, and from age, weight, height, BMI, and waist circumference in girls under 13 years, respectively, of 0.77 and 0.83 (P < 0.001). Correlations between robust Gaussian Bayesian network (RGBN) predictions and DXA measurements were highly significant, averaging 0.87 for boys and 0.82 for girls (P < 0.001). CONCLUSIONS: The results revealed that, based on the present study's predictive models, adolescents' body composition might be estimated by input anthropometric information. Given the flexibility and modeling of the present method to test different motivated hypotheses, its application to body compositional data is highly appealing.

Sustainability assessment of water management at river basin level: Concept, methodology and application.

A practical approach for understanding and monitoring the sustainability of a river basin as a complex socio-hydrological system is to co-develop an indicator-based assessment framework with the help of the major stakeholders. This study defines the concept of Sustainability Assessment (SA) in the context of water management at basin level. A step-by-step methodology is proposed and further applied for developing indicator-based SA framework in the complex and overexploited Mashhad Basin in Iran. The methodology is based on a participatory approach that includes forming an expert panel of basin stakeholders, co-creating goals and objectives, identifying and screening indicators, and shaping the final SA framework. We identify 332 potential indicators from existing literature. Using selection criteria and two-round of fuzzy Delphi method, we adapt 25 fit-for-purpose indicators relevant to sustainable water management in Mashhad Basin. Subsequently, a SA framework is developed by categorizing final indicators into four main components (Technical, Environmental, Economic and Social) and ten subcomponents to provide better links and insights of the basin water management practices between different groups of stakeholders. Finally, using a weighting scheme through the Analytical Hierarchy Process (AHP), a sustainability index is constructed by aggregating the indicators. The results indicate that Mashhad Basin is in a critical unsustainable condition with a sustainability index at 0.34 out of 1. Analysis of the relative importance of the adapted indicators shows that the top-four ranked indicators (including water productivity, access to safe drinking water, renewable groundwater dependency and water pollution) have almost 40% contribution to the basin sustainability index. Such indicator-based SA framework can support identification and analysis of major sustainability trade-offs. Additionally, it can provide an effective tool for achieving water-related targets of the Sustainable Development Goals (SDGs). We therefore highly encourage further development of indicator-based SA frameworks in the context of water management at basin level.

Case series: Reinfection of recovered SARS CoV-2 patients for the third time.

This set of cases provides important evidence of re-infection and recurrence of SARS-CoV-2 even for the third time. Consequently, this possibility should be considered more in recurrent patients with Covid-19 symptoms.

Association of cyclin-dependent kinase inhibitor 2A/B with increased risk of developing breast cancer.

There is a growing body of data reporting the association of genetic alterations in chromosome 9P21 with the risk of developing cancer. In the current study, we studied the association of a genetic variant in CDKN2A/B, rs1333049, with the risk of developing breast cancer. A total of 339 participants with and without breast cancer entered to the study. Genotyping was done by the TaqMan real-time polymerase chain reaction (RT-PCR) method and gene expression analysis was ran by RT-PCR. Our data showed that the minor allele homozygote in the total population was 10%, whereas for heterozygote was 38%. The dominant genetic model demonstrated that individuals with breast cancer had advanced TNM classification. Moreover, the logistic regression revealed that individuals who had CC/CG genotypes might have an enhanced risk of developing breast cancer when compared to the holders of GG genotype (e.g., OR = 2.8; 95% CI,1.4-5.4; p = .001), after regulated for confounders; age and body mass index. Furthermore, our analysis showed that the CDKN2A/B gene was downregulated in patients (p < .001). We showed a meaningful relationship of CDKN2A/B with the risk of breast cancer, cancer, showing the importance of studies in great sample size and several centers for studying the value of the marker as a risk classification in the management of patients with breast cancer.

Human PBMCs fight or flight response to starvation stress: Increased T-reg, FOXP3, and TGF-ß1 with decreased miR-21 and Constant miR-181c levels.

Regulatory T-lymphocytes play a prominent role in autoimmunity, allergy, and cancer. In some conditions such as inflammation and tumor, immune cells are encountered with metabolic stress. Emerging evidence indicates the contribution of microRNAs in both metabolism and immune regulation. Herewith, we have examined the in vitro effects of serum starvation for 16, 48, 72 and 96 h on the expression of T-reg differentiation markers (CD4, CD25, CD127, and FOXP3) as well as on the Transforming Growth Factor-ß1 (TGF-ß1) and some microRNAs (miR-21,-29a,-31,146a,-155,-181a and -181c) levels in human Peripheral Blood Mononuclear Cells (PBMCs). The percentage of CD4+CD25+CD127low/-FOXP3+ T-regs, as well as FOXP3 expression, was increased in starved lymphocytes (p < 0.01). 96 h-starved PBMCs had the lowest T-eff/T-reg ratio (p < 0.05). All the studied miRNAs except miR-181c were significantly down-regulated in those cells (p < 0.05), in particular, miR-29a and miR-155 were sharply declined in 48h-starved PBMCs (p < 0.01). There was a negative correlation between time of starvation and microRNAs expression, except for miR-181c (r-value = -0. 61 to -0.9 and p-value = 0.037 to 0). The percentage of T-reg was inversely correlated with all miRNAs levels except for miR-31 and miR-181c (r-value = -0.68 to -0.78 and p-value = 0.015 to 0.003). FOXP3 expression exhibited a same degree of negative correlation with miR-31 and miR-155 expression levels (r = -0.57 and p = 0.05, for both). Increasing starvation duration led to a rise inTGF-ß1 protein levels (p<0.01), especially its active form (P<0.001). This study introduced the serum starvation as a tool for immunoregulation which acts probably through increasing TGF-ß1 production and inducing some alterations in microRNAs expression.

The 9p21 locus as a potential therapeutic target and prognostic marker in colorectal cancer.

Colorectal cancer (CRC) is a major cause of cancer-related-death worldwide. Despite extensive efforts to identify valid biomarkers for the risk stratification of CRC patients, there are few of proven clinical utility. It is recognized that genetic factors play a major role in determining susceptibility to CRC. Recent genome-wide association studies have demonstrated common genetic variants in a region on chromosome 9p21 associated with an increased risk of CRC. Several genetic polymorphisms have been identified in this region that are associated with CRC. Three genes are located at this locus; CDKN2B(encoding-p15ink4b), CDKN2A (encoding-p16ink4a/p14ARF) and 3' end of CDKN2BAS (termed-antisense-noncoding-RNA in the INK4-locus [ANRIL]). ANRIL has a post-transcriptional modulatory activity, which has been shown to perturb the expression of nearby genes. It also plays an important role in coordinating tissue remodeling through regulation of cell proliferation, apoptosis, aging, extra-cellular matrix remodeling and inflammatory response. However, the role of ANRIL is not well understood in CRC. Hypermethylation of the p14ARF and p16INK4a genes is often found in some tumors, including CRC. However, further studies are necessary to explore the clinical utility of these putative markers in risk stratification, and in the assessment of prognosis. In this review, we have summarized the prognostic and therapeutic potential of the p14ARF and p16INK4a genes in patients with colorectal cancer.

Tumor-derived exosomes: Potential biomarker or therapeutic target in breast cancer?

Exosomes are released by normal and tumour cells, including those involved in breast cancer, and provide a means of intercellular communications. Exosomes with diameters ranging between 30-150 nm are involved in transferring biological information, via various lipids, proteins, different forms of RNAs, and DNA from one cell to another, and this can result in reprogramming of recipient cell functions. These vesicles are present in all body fluids, for example, blood plasma/serum, semen, saliva, cerebrospinal fluid, breast milk, and urine. It has been recently reported that these particles are involved in the development and progression of different tumor types, including breast cancer. Furthermore, it has been suggested that exosomes have the potential to be used as drug transporters, or as biomarkers. This review highlights the potential roles of exosomes in normal and breast cancer cells and their potential applications as biomarkers with special focus on their potential applications in treatment of breast cancer.

Both immune hormone IL-10 and parathormone tend to increase in serum of old osteoporotic people independently of 1, 25 dihydroxy vitamin D3.

BACKGROUND: In this study, we determined the serum levels of IL-17A and IL-10 in context with 1, 2 dihydroxy vitamin D3, parathormone and Ca2+/Pi ions to investigate their pathological or protective roles respectively in bone metabolism. METHODS: The bone mineral density (BMD) was determined for 1203 participants using energy X-ray absorptiometry. Subjects with a history of diseases and using bone metabolism medications were excluded and finally serum IL-10 was measured in 82 osteoporotic and 74 healthy individuals (mean age ±SD of 71.04±6.9 and 68.58±6.9 respectively). Also, the serum level of IL-17A was assessed in 42 osteoporotic and 39 non-osteoporotic subjects (mean age±SD of 69.40±6.7 and 70.77±7.1, respectively). Serum levels of 1, 25-dihydroxyvitamin D3, Ca2+/Pi ions and parathormone were extracted from AHAP cohort data bank. RESULTS: IL-17A was detectable in 7.42(16.67%) osteoporotic subjects and 3.39(7.69%) normal subjects. Surprisingly, patient subjects exhibited a higher level of serum IL-10 than normal subjects (P=0.023). We found that the serum parathormone levels tend to increase in patient group (P=0.003) in comparison to normal control with no correlation with Il-10 levels. There was no significant difference between the two groups in the serum levels of 1, 25-dihydroxyvitamin D3, Ca2+and Pi ions. CONCLUSION: In reaction to chronic inflammation old osteoporotic patients independent of 1, 25 dihydroxy vitamin D3 may produce a higher level of IL-10 to dampen production of inflammatory cytokines including IL-17A which in turn leads to speeding up parathormone production ultimately reaching a new homeostasis status in bone metabolism with normal serum Ca2+ /Pi ions.

Stable Down-Regulation of HLA Class-I by Serum Starvation in Human PBMCs.

BACKGROUND: The human leukocyte antigen (HLA) matching between organ donor and recipient is an acceptable strategy in clinical transplantation since 1964. However, in bone marrow transplantation, finding matched donors is often problematic. Thus new method for down regulation of HLA can be an alternative strategy to solve this problem. OBJECTIVE: To examine the effect of serum starvation on HLA class I expression in human peripheral blood mononuclear cells (PBMCs). METHODS: PBMCs were cultured in RPMI-1640 supplemented with 10% FBS (non-starved cells) as well as in medium only (starved cells) for 16, 24, 48, 72, 96h under standard cell culture conditions. The pattern of cell death and HLA class I expression was determined by flowcytometry. Antigenicity of the starved PBMCs was evaluated in a one-way mixed lymphocyte culture by MTT assay. RESULTS: Mean fluorescence intensity (MFI) of different indicated starved PBMCs gradually decreased and this reduction was stable after 96h of re-feeding with medium containing FBS. Under serum starvation condition, PBMCs showed apoptotic cell death pattern. There was a linear correlation between percentages of cells, which exhibited the late apoptosis death pattern and serum starvation period (r=0.88, p<0.01). Surprisingly, the starved PBMCs lost their stimulatory property in mixed culture with allo-reactive lymphocyte. CONCLUSIONS: Membrane HLA class I expression could be stably reduced in 96h starved human PBMCs culture condition, decreasing their allo-reactivity while their viability rate is enough for possible clinical application.