With the improvement of clinical treatment outcomes in diffuse large B cell lymphoma (DLBCL), the high rate of relapse in DLBCL patients is still an established barrier, as the therapeutic strategy selection based on potential targets remains unsatisfactory. Therefore, there is an urgent need in further exploration of prognostic biomarkers so as to improve the prognosis of DLBCL.

The univariable and multivariable Cox regression models were employed to screen out gene signatures for DLBCL overall survival (OS) prediction. The differential expression analysis was used to identify representative genes in high-risk and low-risk groups, respectively, where student

test and fold change were implemented. The functional difference between the high-risk and low-risk groups was identified by the gene set enrichment analysis.

We conducted a systematic data analysis to screen the candidate genes significantly associated with OS of DLBCL in three NCBI Gene Expression Omnibus (GEO) datasets. To construct a prognos-gene Cox model for the clinical outcome prediction of DLBCL patients. Meanwhile, potential drug selection using this model can help clinicians to improve the clinical practice for the benefit of patients.Plant roots are critical for water and nutrient acquisition, environmental adaptation, and yield formation. Herein, 196 wheat accessions from the Huang-Huai Wheat Region of China were collected to investigate six root traits at seedling stage under three growing environments [indoor hydroponic culture (IHC), outdoor hydroponic culture (OHC), and outdoor pot culture (OPC)] and the root dry weight (RDW) under OPC at four growth stages and four yield traits in four environments. Additionally, a genome-wide association study was performed with a Wheat 660K SNP Array. The results showed that the root traits varied most under OPC, followed by those under both OHC and IHC, and root elongation under hydroponic culture was faster than that under pot culture. Root traits under OHC might help predict those under OPC. Moreover, root traits were significantly negatively correlated with grain yield (GY) and grains per spike (GPS), positively correlated with thousand-kernel weight (TKW), and weakly correlated with number of spikes per area (SPA). Twelve stable chromosomal regions associated with the root traits were detected on chromosomes 1D, 2A, 4A, 4B, 5B, 6D, and unmapped markers. Among them, a stable chromosomal interval from 737.85 to 742.00 Mb on chromosome 4A, which regulated total root length (TRL), was identified under three growing environments. Linkage disequilibrium (LD) blocks were used to identify 27 genes related to root development. Three genes TraesCS4A02G484200, TraesCS4A02G484800, TraesCS4A02G493800, and TraesCS4A02G493900, are involved in cell elongation and differentiation and expressed at high levels in root tissues. Another vital co-localization interval on chromosome 5B (397.72-410.88 Mb) was associated with not only RDW under OHC and OPC but also TKW.Dipeptidyl peptidase-4 (DPP4) can influence lipid homeostasis and atherosclerosis progression. We aimed to assess the association of DPP4 gene polymorphisms with hypoalphalipoproteinemia and DPP4 serum levels, in a cohort of Mexican individuals. Five DPP4 polymorphisms (rs12617336, rs12617656, rs1558957, and rs3788979, and rs17574) were genotyped in 748 participants with and 745 without hypoalphalipoproteinemia. The associations were evaluated using logistic regression analyses. Under inheritance models adjusted for confounding variables, the rs12617336 (OR = 0.22, P heterozygote = 0.001) and rs17574 (OR = 0.78, P additive = 0.022; OR = 0.73, P dominant = 0.012; OR = 0.73, P heterozygote = 0.017; OR = 0.72, P codominant 1 = 0.014) minor alleles were associated with a low risk of hypoalphalipoproteinemia. After the correction for multiple comparisons, the associations were marginal except the association of the rs12617336 that remaining significant. Trometamol purchase Additionally, both DPP4 minor alleles were associated with protection for the presence of insulin resistance (IR) (OR = 0.17, P heterozygote = 0.019 for rs12617336 and OR = 0.75, P additive = 0.049 for rs17574). The rs12617336 minor allele was also associated with a low risk of hyperinsulinemia (OR = 0.11, P heterozygote = 0.006). Differences in DPP4 levels were observed in individuals with rs17574 genotypes, the rs17574 GG genotype individuals had the lowest levels. Our data suggest that rs12617336 and rs17574 DPP4 minor alleles could be envisaged as protective genetic markers for hypoalphalipoproteinemia, IR, and hyperinsulinemia. The rs17574 GG genotype was associated with the lowest DPP4 levels.

There is a dearth of evidence about the effects of Sonas, a multisensory stimulation on people with dementia (PWD). The main aim of this study was to examine the effects of the Sonas program on anxiety and depression in nursing home (NH) residents with dementia.

In all, 120 PWD ≥65 years of age from 6 NHs were included in a randomized control trial and were allocated to 1 of 3 groups for 24 weeks a Sonas program group (

= 48), a reading group (

= 32), and a control group (

= 40). One hundred and five participants completed follow-up assessments. Anxiety and depression were assessed by the Rating Anxiety in Dementia (RAID) scale and the Cornell Scale for Depression in Dementia (CSDD), respectively. Generalized linear mixed models were estimated to assess trends in the proportion of participants with anxiety (a RAID score ≥11) and depression (a CSDD score ≥10).

No significant reduction in anxiety from baseline to follow-up was observed in any of the groups. Participants in the Sonas group showed a significant reduction in depression from baseline to 12 weeks (

= 0.001) and from baseline to 24 weeks (

= 0.009).

The Sonas program had no effect on severity of anxiety but a reduction in depressive symptoms was found in PWD.

The Sonas program had no effect on severity of anxiety but a reduction in depressive symptoms was found in PWD.

Alzheimer’s disease (AD) is the most common cause of dementia worldwide, accounting for 50-75% of all cases. While older maternal and paternal age at childbirth are established risk factors for Down syndrome which is associated with later AD, it is still not entirely clear whether parental age is a risk factor for AD. Previous studies have suggested contradictory findings.

We conducted a systematic review and meta-analysis to examine whether parental (maternal and paternal) age at birth was associated with AD and whether individuals born to younger or older parents were at an increased risk for AD.

Two reviewers searched the electronic database of PubMed for relevant studies. Eligibility for the meta-analysis was based on the following criteria (1) studies involving patients with AD and an adequate control group, (2) case control or cohort studies, (3) studies investigating parental age. All statistical analyses were completed in STATA/IC version 16.

Eleven studies involving 4,371 participants were included in the systematic review and meta-analysis.