163 research outputs found
Melatonin Alters Age-Related Changes in Transcription Factors and Kinase Activation
Male mice were fed 40 ppm melatonin for 2 months prior to sacrifice at age 26 months, and compared with both 26 and 4 month-old untreated controls. The nuclear translocation of NF-κB increased with age in both brain and spleen and this was reversed by melatonin only in brain. Another transcription factor, AP-1 was increased with age in the spleen and not in brain and this could be blocked by melatonin treatment. The fraction of the active relative to the inactive form of several enabling kinases was compared. The proportion of activated ERK was elevated with age in brain and spleen but this change was unresponsive to melatonin. A similar age-related increase in glial fibrillary acidic protein (GFAP) was also refractory to melatonin treatment. The cerebral melatonin M1 receptor decreased with age in brain but increased in spleen. The potentially beneficial nature of melatonin for the preservation of brain function with aging was suggested by the finding that an age-related decline in cortical synaptophysin levels was prevented by dietary melatonin
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Telomere shortening during aging: Attenuation by antioxidants and anti-inflammatory agents.
Telomeres are a repeated sequence -of bases found at the ends of chromosomes. In humans, this sequence is TTAGGG, which is repeated over 2000 times. Telomeres protect the ends chromosomes from fusion with nearby chromosomes, and allow effective replication of DNA. Each time a cell divides, 25-200 base pairs are lost from the terminal sequence of chromosomes. By becoming truncated during cell division, telomeres protect essential genes from being shortened and thus inactivated. In addition, telomeres are sensitive to inflammation and oxidative stress, which can further promote telomere shortening. Reduction in the length of telomeres leads to the cessation of cell division and thus cellular senescence and apoptosis. This review discusses evidence for the role of oxidative stress and inflammation in regulating the length of telomeres in mammalian cells during senescence. Evidence is presented suggesting that antioxidants and anti-inflammatories can reduce the pace of shortening of telomere length during aging. The distinctive properties of transformed cells suggest that treatment with such materials will have a deleterious rather than a protective effect on such abnormal cells
CDDM: Channel Denoising Diffusion Models for Wireless Semantic Communications
Diffusion models (DM) can gradually learn to remove noise, which have been
widely used in artificial intelligence generated content (AIGC) in recent
years. The property of DM for eliminating noise leads us to wonder whether DM
can be applied to wireless communications to help the receiver mitigate the
channel noise. To address this, we propose channel denoising diffusion models
(CDDM) for semantic communications over wireless channels in this paper. CDDM
can be applied as a new physical layer module after the channel equalization to
learn the distribution of the channel input signal, and then utilizes this
learned knowledge to remove the channel noise. We derive corresponding training
and sampling algorithms of CDDM according to the forward diffusion process
specially designed to adapt the channel models and theoretically prove that the
well-trained CDDM can effectively reduce the conditional entropy of the
received signal under small sampling steps. Moreover, we apply CDDM to a
semantic communications system based on joint source-channel coding (JSCC) for
image transmission. Extensive experimental results demonstrate that CDDM can
further reduce the mean square error (MSE) after minimum mean square error
(MMSE) equalizer, and the joint CDDM and JSCC system achieves better
performance than the JSCC system and the traditional JPEG2000 with low-density
parity-check (LDPC) code approach.Comment: submitted to IEEE Transactions on Wireless Communications. arXiv
admin note: substantial text overlap with arXiv:2305.0916
The Genomic Landscape of Crossover Interference in the Desert Tree Populus euphratica
Crossover (CO) interference is a universal phenomenon by which the occurrence of one CO event inhibits the simultaneous occurrence of other COs along a chromosome. Because of its critical role in the evolution of genome structure and organization, the cytological and molecular mechanisms underlying CO interference have been extensively investigated. However, the genome-wide distribution of CO interference and its interplay with sex-, stress-, and age-induced differentiation remain poorly understood. Multi-point linkage analysis has proven to be a powerful tool for landscaping CO interference, especially within species for which CO mutants are rarely available. We implemented four-point linkage analysis to landscape a detailed picture of how CO interference is distributed through the entire genome of Populus euphratica, the only forest tree that can survive and grow in saline desert. We identified an extensive occurrence of CO interference, and found that its strength depends on the length of chromosomes and the genomic locations within the chromosome. We detected high-order CO interference, possibly suggesting a highly complex mechanism crucial for P. euphratica to grow, reproduce, and evolve in its harsh environment
Cognitive, language, and behavioral outcomes in children with autism spectrum disorders exposed to early comprehensive treatment models: A meta-analysis and meta-regression
Background: Early comprehensive treatment models (CTMs) have been developed as effective treatments for children with autism spectrum disorder (ASD). Numerous studies have suggested that CTMs can improve short-term outcomes, but little is known about precise outcome information in childhood. The current meta-analysis reviewed studies reporting broader outcomes in children with ASD who had ever participated in a CTM and examined the predictors of developmental gains. Methods: We searched eight databases up to June 13, 2019, for relevant trials and natural experiments. Longitudinal studies were selected if they investigated the outcomes of CTMs. Two meta-analyses were undertaken to provide a summary estimate of change in treatment outcomes and to evaluate the effect of CTMs; one used the standardized mean change between the pretest and posttest, and the other was a classical meta-analysis. Stratified and random-effects meta-regression analyses were performed to search for outcome differences among studies. Results: Eighteen intervention studies (involving 495 children with ASD) met all the inclusion criteria: 12 used early intensive behavioral intervention (EIBI), and two used the Early Start Denver Model (ESDM). Outcomes were categorized into three parts: cognitive, language and behavioral (e.g., adaptive functioning and symptomatology). Overall, most children with ASD who had ever participated in an early CTM made gains in many areas of functioning, especially in terms of symptom- and language-related outcomes. Stratified analyses indicated that the ESDM displayed the largest effect on IQ improvement (ES = 1.37, 95% CI: 0.95 to 1.80), while EIBI was more effective for symptom reduction (ES = −1.27, 95% CI: −1.96 to −0.58). Further, meta-regression suggested that interventions with parent involvement, higher intensity, and longer treatment hours yielded greater improvements in IQ and social adaptive functioning, respectively. Conclusion: The results demonstrate a positive association between CTMs and better prognosis in childhood, especially regarding symptoms, and language. However, most extant research involves small, non-randomized studies, preventing definitive conclusions from being drawn. Clearly, the outcomes of children with ASD are still far from normal, especially with respect to adaptive functioning, and the four mediating variables pertaining to treatment elements can affect their gains, including approach, implementer, intensity, and total treatment hours
Polydatin Inhibits Formation of Macrophage-Derived Foam Cells
Rhizoma Polygoni Cuspidati, a Chinese herbal medicine, has been widely used in traditional Chinese medicine for a long time. Polydatin, one of the major active ingredients in Rhizoma Polygoni Cuspidati, has been recently shown to possess extensive cardiovascular pharmacological activities. In present study, we examined the effects of Polydatin on the formation of peritoneal macrophage-derived foam cells in Apolipoprotein E gene knockout mice (ApoE−/−) and explored the potential underlying mechanisms. Peritoneal macrophages were collected from ApoE−/− mice and cultured in vitro. These cells sequentially were divided into four groups: Control group, Model group, Lovastatin group, and Polydatin group. Our results demonstrated that Polydatin significantly inhibits the formation of foam cells derived from peritoneal macrophages. Further studies indicated that Polydatin regulates the metabolism of intracellular lipid and possesses anti-inflammatory effects, which may be regulated through the PPAR-γ signaling pathways
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