Support-Seeking Strategies, Family Communication Patterns, and Received Support Among Chinese Women with Postpartum Depression: A Content Analysis of Zhihu Posts.

The incidence of postpartum depression (PPD) among Chinese women surpasses the global average, and this disparity is closely associated with the level of social support they receive. Using Sensitive Interaction Systems Theory and Family Communication Patterns Theory as guiding frameworks, we conducted a content analysis of 705 posts gathered from the hashtag #PPD (chanhou yiyu) on Zhihu, a popular Chinese social media platform. Our findings reveal that postpartum women primarily seek social support from their husbands and mothers-in-law through indirect nonverbal and direct verbal communication strategies. They tend to receive more problem-focused support than emotion-focused solace. Moreover, the use of direct verbal communication strategies promotes potential support providers' problem-solving behaviors, while the use of indirect nonverbal strategies elicits their avoidance behaviors. In addition, the conversation-oriented family communication pattern strengthens the positive association between direct verbal communication and support-providing behaviors, whereas the conformity-oriented family communication pattern weakens this relationship. This study contributes to the applicability of the abovementioned theories in the Chinese context and provides insights for future interventions aimed at addressing PPD among women.

Methylation-directed acetylation of histone H3 regulates developmental sensitivity to histone deacetylase inhibition.

Hydroxamate-based lysine deacetylase inhibitors (KDACis) are approved for clinical use against certain cancers. However, intrinsic and acquired resistance presents a major problem. Treatment of cells with hydroxamates such as trichostatin A (TSA) leads to rapid preferential acetylation of histone H3 already trimethylated on lysine 4 (H3K4me3), although the importance of this H3K4me3-directed acetylation in the biological consequences of KDACi treatment is not known. We address this utilizing Dictyostelium discoideum strains lacking H3K4me3 due to disruption of the gene encoding the Set1 methyltransferase or mutations in endogenous H3 genes. Loss of H3K4me3 confers resistance to TSA-induced developmental inhibition and delays accumulation of H3K9Ac and H3K14Ac. H3K4me3-directed H3Ac is mediated by Sgf29, a subunit of the SAGA acetyltransferase complex that interacts with H3K4me3 via a tandem tudor domain (TTD). We identify an Sgf29 orthologue in Dictyostelium with a TTD that specifically recognizes the H3K4me3 modification. Disruption of the gene encoding Sgf29 delays accumulation of H3K9Ac and abrogates H3K4me3-directed H3Ac. Either loss or overexpression of Sgf29 confers developmental resistance to TSA. Our results demonstrate that rapid acetylation of H3K4me3 histones regulates developmental sensitivity to TSA. Levels of H3K4me3 or Sgf29 will provide useful biomarkers for sensitivity to this class of chemotherapeutic drug.

"It Slowly Drained the Life Out of Me, Leaving Me Dead Inside": Coping and Response Patterns Among Chinese Women Experiencing Postpartum Depression.

The prevalence of postpartum depression (PPD) exceeds 20% in China. In this article, we unpack the coping strategies and involuntary responses to PPD among Chinese women and how such patterns are shaped by family communication dynamics and reflect distinct social, structural, and cultural contexts. Drawing upon the communication accommodation theory and the generic stress and coping model, we analyzed 661 posts collected under the hashtag #PPD (chanhou yiyuzheng) on Zhihu using the phronetic iterative approach. The analysis reveals that women self-identifying as having PPD often find themselves situated within a family environment marked by non-adaptive communication, culminating in insufficient support from their social circles. Furthermore, a significant number of these women lack effective coping mechanisms to manage PPD. Instead, they tend to stifle their expressions and needs through automatic responses, dedicating themselves to constant self-monitoring without practicing self-care. Our findings contribute to informed policymaking for postpartum support, addressing nuanced challenges encountered by new mothers in China.

Common Stress Transcriptome Analysis Reveals Functional and Genomic Architecture Differences Between Early and Delayed Response Genes.

To identify the similarities among responses to diverse environmental stresses, we analyzed the transcriptome response of rice roots to three rhizotoxic perturbations (chromium, ferulic acid and mercury) and identified common early-transient, early-constant and delayed gene inductions. Common early response genes were mostly associated with signal transduction and hormones, and delayed response genes with lipid metabolism. Network component analysis revealed complicated interactions among common genes, the most highly connected signaling hubs being PP2C68, MPK5, LRR-RLK and NPR1. Gene architecture studies revealed different conserved promoter motifs and a different ratio of CpG island distribution between early and delayed genes. In addition, early-transient genes had more exons and a shorter first exon. IMEter was used to calculate the transcription regulation effects of introns, with greater effects for the first introns of early-transient than delayed genes. The higher Ka/Ks (non-synonymous/synonymous mutation) ratio of early-constant genes than early-transient, delayed and the genome median demonstrates the rapid evolution of early-constant genes. Our results suggest that finely tuned transcriptional control in response to environmental stress in rice depends on genomic architecture and signal intensity and duration.

Pathways involved in vanadate-induced root hair formation in Arabidopsis.

Root hair formation is controlled by environmental signals. We found significantly increased Arabidopsis root hair density and length in response to low-dose vanadate (V). Reactive oxygen species (ROS) production was induced with V treatment. We investigated the possible role of NADPH oxidase in altering root system architecture induced by V by using diphenylene iodonium (DPI), an inhibitor of NADPH oxidase, and an NADPH oxidase mutant (rhd2/AtrbohC). NADPH oxidase was involved in root hair elongation induced by V. As well, ethylene receptor (ETR1) and ROOT HAIR DEFECTIVE (RHD6) participated in inducing root hair formation induced by V. Furthermore, the kinase inhibitors, genistein (tyrosine kinase inhibitor) and K252a (ser/thr kinase inhibitor), and a phosphatase inhibitor, cantharidin (ser/thr phosphatase inhibitor), suppressed root hair formation induced by V. To elucidate the regulation of gene expression in response to V, we investigated transcriptional changes in roots by microarray assay. Exposure to V triggered changes in transcript levels of genes related to cell wall formation, ROS activity and signaling. Several genes involved in root hair formation were also regulated.

Genomic profiling of rice roots with short- and long-term chromium stress.

Cr(VI) is the most toxic valency form of Cr, but its toxicity targets and the cellular systems contributing to acquisition of tolerance remain to be resolved at the molecular level in plants. We used microarray assay to analyze the transcriptomic profiles of rice roots in response to Cr(VI) stress. Gene ontology analysis revealed that the 2,688 Cr-responsive genes were involved in binding activity, metabolic process, biological regulation, cellular process and catalytic activity. More transcripts were responsive to Cr(VI) during long-term exposure (24 h, 2,097 genes), than short-term exposure (1- and 3-h results pooled, 1,181 genes). Long-term Cr(VI)-regulated genes are involved in cytokinin signaling, the ubiquitin-proteasome system pathway, DNA repair and Cu transportation. The expression of AS2 transcription factors was specifically modulated by long-term Cr(VI) stress. The protein kinases receptor-like cytoplasmic kinase and receptor-like kinase in flowers 3 were significantly upregulated with only short-term Cr(VI) exposure. In addition, 4 mitogen-activated protein kinase kinase kinases, 1 mitogen-activated protein kinase (MAPK) and 1 calcium-dependent protein kinase (CDPK) were upregulated with short-term Cr(VI) treatment. Expression of reactive oxygen species and calcium and activity of MAPKs and CDPK-like kinases were induced with increasing Cr(VI) concentration. These results may provide new insights into understanding the mechanisms of Cr toxicity and tolerance during different stages in rice roots.

Transcriptome profiling of genes and pathways associated with arsenic toxicity and tolerance in Arabidopsis.

BACKGROUND: Arsenic (As) is a toxic metalloid found ubiquitously in the environment and widely considered an acute poison and carcinogen. However, the molecular mechanisms of the plant response to As and ensuing tolerance have not been extensively characterized. Here, we report on transcriptional changes with As treatment in two Arabidopsis accessions, Col-0 and Ws-2. RESULTS: The root elongation rate was greater for Col-0 than Ws-2 with As exposure. Accumulation of As was lower in the more tolerant accession Col-0 than in Ws-2. We compared the effect of As exposure on genome-wide gene expression in the two accessions by comparative microarray assay. The genes related to heat response and oxidative stresses were common to both accessions, which indicates conserved As stress-associated responses for the two accessions. Most of the specific response genes encoded heat shock proteins, heat shock factors, ubiquitin and aquaporin transporters. Genes coding for ethylene-signalling components were enriched in As-tolerant Col-0 with As exposure. A tolerance-associated gene candidate encoding Leucine-Rich Repeat receptor-like kinase VIII (LRR-RLK VIII) was selected for functional characterization. Genetic loss-of-function analysis of the LRR-RLK VIII gene revealed altered As sensitivity and the metal accumulation in roots. CONCLUSIONS: Thus, ethylene-related pathways, maintenance of protein structure and LRR-RLK VIII-mediated signalling may be important mechanisms for toxicity and tolerance to As in the species. Here, we provide a comprehensive survey of global transcriptional regulation for As and identify stress- and tolerance-associated genes responding to As.

An enhanced machine learning approach for effective prediction of IgA nephropathy patients with severe proteinuria based on clinical data.

IgA Nephropathy (IgAN) is a disease of the glomeruli that may eventually lead to chronic kidney disease or kidney failure. The signs and symptoms of IgAN nephropathy are usually not specific enough and are similar to those of other glomerular or inflammatory diseases. This makes a correct diagnosis more difficult. This study collected data from a sample of adult patients diagnosed with primary IgAN at the First Affiliated Hospital of Wenzhou Medical University, with proteinuria ≥1 g/d at the time of diagnosis. Based on these samples, we propose a machine learning framework based on weIghted meaN oF vectOrs (INFO). An enhanced COINFO algorithm is proposed by merging INFO, Cauchy Mutation (CM) and Oppositional-based Learning (OBL) strategies. At the same time, COINFO and Support Vector Machine (SVM) were integrated to construct the BCOINFO-SVM framework for IgAN diagnosis and prediction. Initially, the proposed enhanced COINFO is evaluated using the IEEE CEC2017 benchmark problems, with the outcomes demonstrating its efficient optimization capability and accuracy in convergence. Furthermore, the feature selection capability of the proposed method is verified on the public medical datasets. Finally, the auxiliary diagnostic experiment was carried out through IgAN real sample data. The results demonstrate that the proposed BCOINFO-SVM can screen out essential features such as High-Density Lipoprotein (HDL), Uric Acid (UA), Cardiovascular Disease (CVD), Hypertension and Diabetes. Simultaneously, the BCOINFO-SVM model achieves an accuracy of 98.56%, with sensitivity at 96.08% and specificity at 97.73%, making it a potential auxiliary diagnostic model for IgAN.

Synergizing the enhanced RIME with fuzzy K-nearest neighbor for diagnose of pulmonary hypertension.

Pulmonary hypertension (PH) is an uncommon yet severe condition characterized by sustained elevation of blood pressure in the pulmonary arteries. The delaying treatment can result in disease progression, right ventricular failure, increased risk of complications, and even death. Early recognition and timely treatment are crucial in halting PH progression, improving cardiac function, and reducing complications. Within this study, we present a highly promising hybrid model, known as bERIME_FKNN, which constitutes a feature selection approach integrating the enhanced rime algorithm (ERIME) and fuzzy K-nearest neighbor (FKNN) technique. The ERIME introduces the triangular game search strategy, which augments the algorithm's capacity for global exploration by judiciously electing distinct search agents across the exploratory domain. This approach fosters both competitive rivalry and collaborative synergy among these agents. Moreover, an random follower search strategy is incorporated to bestow a novel trajectory upon the principal search agent, thereby enriching the spectrum of search directions. Initially, ERIME is meticulously compared to 11 state-of-the-art algorithms using the IEEE CEC2017 benchmark functions across diverse dimensionalities such as 10, 30, 50, and 100, ultimately validating its exceptional optimization capability within the model. Subsequently, employing the color moment and grayscale co-occurrence matrix methodologies, a total of 118 features are extracted from 63 PH patients' and 60 healthy individuals' images, alongside an analysis of 14,514 recordings obtained from these patients utilizing the developed bERIME_FKNN model. The outcomes manifest that the bERIME_FKNN model exhibits a conspicuous prowess in the realm of PH classification, attaining an accuracy and specificity exceeding 99%. This implies that the model serves as a valuable computer-aided tool, delivering an advanced warning system for diagnosis and prognosis evaluation of PH.

Integrating Early Transcriptomic Responses to Rhizotoxins in Rice (Oryza sativa. L.) Reveals Key Regulators and a Potential Early Biomarker of Cadmium Toxicity.

As sessile organisms, plants were constantly challenged with biotic and abiotic stresses. Transcriptional activation of stress-responsive genes is a crucial part of the plant adaptation to environmental changes. Here, early response of rice root to eight rhizotoxic stressors: arsenate, copper, cadmium, mercury, chromate, vanadate, ferulic acid and juglone, was analyzed using published microarray data. There were 539 general stress response (GSR) genes up-regulated under all eight treatments, including genes related to carbohydrate metabolism, phytohormone balance, and cell wall structure. Genes related to transcriptional coactivation showed higher Ka/Ks ratio compared to the other GSR genes. Network analysis discovered complicated interaction within GSR genes and the most connected signaling hubs were WRKY53, WRKY71, and MAPK5. Promoter analysis discovers enriched SCGCGCS cis-element in GSR genes. Moreover, GSR genes tend to be intronless and genes with shorter total intron length were induced in a higher level. Among genes uniquely up-regulated by a single stress, a phosphoenolpyruvate carboxylase kinase (PPCK) was identified as a candidate biomarker for detecting cadmium contamination. Our findings provide insights into the transcriptome dynamics of molecular response of rice to different rhizotoxic stress and also demonstrate potential use of comparative transcriptome analysis in identifying a novel potential early biomarker.

Transcriptome profiling and physiological studies reveal a major role for aromatic amino acids in mercury stress tolerance in rice seedlings.

Mercury (Hg) is a serious environmental pollution threat to the planet. The accumulation of Hg in plants disrupts many cellular-level functions and inhibits growth and development, but the mechanism is not fully understood. To gain more insight into the cellular response to Hg, we performed a large-scale analysis of the rice transcriptome during Hg stress. Genes induced with short-term exposure represented functional categories of cell-wall formation, chemical detoxification, secondary metabolism, signal transduction and abiotic stress response. Moreover, Hg stress upregulated several genes involved in aromatic amino acids (Phe and Trp) and increased the level of free Phe and Trp content. Exogenous application of Phe and Trp to rice roots enhanced tolerance to Hg and effectively reduced Hg-induced production of reactive oxygen species. Hg induced calcium accumulation and activated mitogen-activated protein kinase. Further characterization of the Hg-responsive genes we identified may be helpful for better understanding the mechanisms of Hg in plants.