Pornographic Video Consumption and Partner Preference Among Chinese Male Sexual Minorities: The Moderating Role of Perceived Realism.

A growing body of research documents that the use of pornography is becoming more frequent among male sexual minorities. According to the sexual script acquisition, activation, application model of mediated sexual socialization (3AM), pornography can be considered a potential factor influencing an individual's partner preference. In addition, perceived realism could moderate the link between pornography consumption and partner preferences. This study explored the relationship between pornographic video consumption and partner preference among male sexual minorities and the moderating role of perceived realism. A total of 595 male sexual minorities aged 18 to 47 years (M = 21.70, SD = 3.83), including 82.9% gay men and 17.1% bisexual men, were enrolled in the study. Our results revealed the following: (1) The frequency of pornographic video consumption and male sexual minorities' preferences for appearance and sexual ability in partner selection were positively correlated (r = .06/.07, ps < .05). (2) When perceived realism was low, pornographic video consumption was not significantly associated with appearance and sexual ability preference. (3) Conversely, when perceived realism was high, pornographic video consumption was positively associated with appearance and sexual ability preference (ß = .17/.16, ps < .01). Findings highlight the mechanisms behind pornographic video consumption and partner preference in sexual minority males.

miRTarBase update 2022: an informative resource for experimentally validated miRNA-target interactions.

MicroRNAs (miRNAs) are noncoding RNAs with 18-26 nucleotides; they pair with target mRNAs to regulate gene expression and produce significant changes in various physiological and pathological processes. In recent years, the interaction between miRNAs and their target genes has become one of the mainstream directions for drug development. As a large-scale biological database that mainly provides miRNA-target interactions (MTIs) verified by biological experiments, miRTarBase has undergone five revisions and enhancements. The database has accumulated >2 200 449 verified MTIs from 13 389 manually curated articles and CLIP-seq data. An optimized scoring system is adopted to enhance this update's critical recognition of MTI-related articles and corresponding disease information. In addition, single-nucleotide polymorphisms and disease-related variants related to the binding efficiency of miRNA and target were characterized in miRNAs and gene 3' untranslated regions. miRNA expression profiles across extracellular vesicles, blood and different tissues, including exosomal miRNAs and tissue-specific miRNAs, were integrated to explore miRNA functions and biomarkers. For the user interface, we have classified attributes, including RNA expression, specific interaction, protein expression and biological function, for various validation experiments related to the role of miRNA. We also used seed sequence information to evaluate the binding sites of miRNA. In summary, these enhancements render miRTarBase as one of the most research-amicable MTI databases that contain comprehensive and experimentally verified annotations. The newly updated version of miRTarBase is now available at https://miRTarBase.cuhk.edu.cn/.

A Causal Regulation Modeling Algorithm for Temporal Events with Application to Escherichia coli's Aerobic to Anaerobic Transition.

Time-series experiments are crucial for understanding the transient and dynamic nature of biological phenomena. These experiments, leveraging advanced classification and clustering algorithms, allow for a deep dive into the cellular processes. However, while these approaches effectively identify patterns and trends within data, they often need to improve in elucidating the causal mechanisms behind these changes. Building on this foundation, our study introduces a novel algorithm for temporal causal signaling modeling, integrating established knowledge networks with sequential gene expression data to elucidate signal transduction pathways over time. Focusing on Escherichia coli's (E. coli) aerobic to anaerobic transition (AAT), this research marks a significant leap in understanding the organism's metabolic shifts. By applying our algorithm to a comprehensive E. coli regulatory network and a time-series microarray dataset, we constructed the cross-time point core signaling and regulatory processes of E. coli's AAT. Through gene expression analysis, we validated the primary regulatory interactions governing this process. We identified a novel regulatory scheme wherein environmentally responsive genes, soxR and oxyR, activate fur, modulating the nitrogen metabolism regulators fnr and nac. This regulatory cascade controls the stress regulators ompR and lrhA, ultimately affecting the cell motility gene flhD, unveiling a novel regulatory axis that elucidates the complex regulatory dynamics during the AAT process. Our approach, merging empirical data with prior knowledge, represents a significant advance in modeling cellular signaling processes, offering a deeper understanding of microbial physiology and its applications in biotechnology.

MethHC 2.0: information repository of DNA methylation and gene expression in human cancer.

DNA methylation is an important epigenetic regulator in gene expression and has several roles in cancer and disease progression. MethHC version 2.0 (MethHC 2.0) is an integrated and web-based resource focusing on the aberrant methylomes of human diseases, specifically cancer. This paper presents an updated implementation of MethHC 2.0 by incorporating additional DNA methylomes and transcriptomes from several public repositories, including 33 human cancers, over 50 118 microarray and RNA sequencing data from TCGA and GEO, and accumulating up to 3586 manually curated data from >7000 collected published literature with experimental evidence. MethHC 2.0 has also been equipped with enhanced data annotation functionality and a user-friendly web interface for data presentation, search, and visualization. Provided features include clinical-pathological data, mutation and copy number variation, multiplicity of information (gene regions, enhancer regions, and CGI regions), and circulating tumor DNA methylation profiles, available for research such as biomarker panel design, cancer comparison, diagnosis, prognosis, therapy study and identifying potential epigenetic biomarkers. MethHC 2.0 is now available at http://awi.cuhk.edu.cn/∼MethHC.

miRTarBase 2020: updates to the experimentally validated microRNA-target interaction database.

MicroRNAs (miRNAs) are small non-coding RNAs (typically consisting of 18-25 nucleotides) that negatively control expression of target genes at the post-transcriptional level. Owing to the biological significance of miRNAs, miRTarBase was developed to provide comprehensive information on experimentally validated miRNA-target interactions (MTIs). To date, the database has accumulated >13,404 validated MTIs from 11,021 articles from manual curations. In this update, a text-mining system was incorporated to enhance the recognition of MTI-related articles by adopting a scoring system. In addition, a variety of biological databases were integrated to provide information on the regulatory network of miRNAs and its expression in blood. Not only targets of miRNAs but also regulators of miRNAs are provided to users for investigating the up- and downstream regulations of miRNAs. Moreover, the number of MTIs with high-throughput experimental evidence increased remarkably (validated by CLIP-seq technology). In conclusion, these improvements promote the miRTarBase as one of the most comprehensively annotated and experimentally validated miRNA-target interaction databases. The updated version of miRTarBase is now available at http://miRTarBase.cuhk.edu.cn/.

First report of leaf spot disease caused by Alternaria alternata on Lonicera caerulea L. in China.

Relatively few studies investigating plant diseases in blue honeysuckle (Lonicera caerulea L.) have been conducted in China. In September 2021, a leaf spot disease was observed on approximately 10% of blue honeysuckle 'Lanjingling' leaves in a 0.02 ha field plantation in Tiekuang Street (124.36°E, 40.12°N) in Dandong City, Liaoning Province, China. The main symptom consisted of leaf spots with black mildew centers typically surrounded by yellow halos. Small pieces (3-4 mm) of the infected leaves were plated onto potato dextrose agar (PDA) medium as described by Wang et al. (2020) and six purified cultures were obtained through single spore culture on PDA. The observed conidia, consistent with the morphology of Alternaria alternata, were obpyriform and dark brown, measuring 5.8 to 15.3 µm × 7.9 to 42.5 µm, with 1-6 transverse septa and 0-3 longitudinal septa (n = 50) (Simmons 2007). For molecular verification, genomic DNA was extracted from a representative isolate LD-8. The ITS (GenBank OL454815), GPD (GenBank OL601993), TEF (GenBank OL538256), RPB2 (GenBank OL601966), and Alt (GenBank OL538257) genes were partially amplified with the respective primers ITS1/ITS4 (White et al. 1990), GPD1/GPD2 (Woudenberg et al. 2015), EFl-728F/EFI-986R (Carbone and Kohn 1999), RPB2-5F2/RPB2-7CR (Liu et al. 1999), and Alt-for/Alt-rev (Hong et al. 2005). BLAST analysis revealed that these genes shared 99%-100% identity with OK345332, MK451977, MN756011, KU933459, and MN655781, respectively. A greenhouse experiment was conducted using six, healthy two-year-old blue honeysuckle 'Lanjingling' plants to observe disease development (Mirzwa-Mróz et al. 2018). After 10 d, we noted typical leaf spot symptoms on inoculated leaves sprayed with a conidial suspension (106 spores/mL) while no symptoms were detected on uninoculated leaves. The same isolate, reisolated from infected leaves with the same morphological and molecular traits, was also identified as A. alternata, confirming Koch's postulates. The fungus was previously reported in cockscomb plants in Heilongjiang Province, China (Wang et al. 2020). To our knowledge, this is the first report of leaf spot disease caused by A. alternata in blue honeysuckle grown in China. This study will provide a basis for future development of effective protection strategies against blue honeysuckle leaf spot in China.

Surgical treatment of benign splenic lesions in pediatric patients: a case series of 30 cases from a single center.

BACKGROUND: Benign splenic lesions are rarely encountered. This study aimed to review the clinical characteristics and surgical outcomes in a case series of 30 pediatric patients. METHODS: From January 1st, 2001 to December 31st, 2021, 30 pediatric patients from a single center were consecutively included. Electronic medical records were reviewed and patients were followed up. Clinical presentations, imaging features, surgical procedures, pathological diagnoses, and prognoses were summarized. The lesion locations and 7-day postoperative platelet levels were compared between total and partial splenectomy patients. RESULTS: Eighteen males and twelve females were included, with mean age at surgery 116.4 ± 43.6 months. The clinical presentations included abdominal pain (16/30), splenomegaly (6/30), skin petechia (2/30), hemolytic jaundice (1/30), and no symptoms (5/30). Pathological diagnoses included congenital epithelial cyst (CEC, 17/30), vascular malformation (8/30), sclerosing angiomatoid nodular transformation (SANT, 3/30), hamartoma (1/30), and leiomyoma (1/30). Patients undergone total splenectomy were more likely to have a lesion involving the hilum than those undergone partial splenectomy (68.4% vs 31.6%, P = 0.021). The 7-day postoperative platelet level was higher in total splenectomy patients than partial splenectomy patients (adjusted means 694.4 × 109/L vs 402.4 × 109/L, P = 0.002). CONCLUSIONS: Various clinical characteristics of pediatric benign splenic lesions are summarized. The most common pathological diagnoses are congenital epithelial cyst and vascular malformation. Partial and total splenectomy result in good prognosis with a low recurrence rate, and the former is preferred to preserve splenic function if possible.

CA9 Silencing Promotes Mitochondrial Biogenesis, Increases Putrescine Toxicity and Decreases Cell Motility to Suppress ccRCC Progression.

Carbonic anhydrase IX (CA9), a pH-regulating transmembrane protein, is highly expressed in solid tumors, and particularly in clear cell renal cell carcinoma (ccRCC). The catalytic mechanisms of CA9 are well defined, but its roles in mediating cell migration/invasion and survival in ccRCC remain to be determined. Here, we confirmed that the mRNA expression of CA9 in ccRCC was significantly higher than that in para-carcinoma tissues from analysis of the datasets in The Cancer Genome Atlas. CA9 knockdown upregulated oxidative phosphorylation-associated proteins and increased mitochondrial biogenesis, resulting in the reversal of the Warburg phenotype and the inhibition of cell growth. Our study revealed that CA9 knockdown upregulated mitochondrial arginase 2 (ARG2), leading to the accumulation of putrescine, which suppressed ccRCC proliferation. Surfaceomics analysis revealed that CA9 knockdown downregulated proteins associated with extracellular matrix (ECM)-receptor interaction and cell adhesion, resulting in decreased cell migration. CA9 silencing also downregulated amino acid transporters, leading to reduced cellular amino acids. Collectively, our data show that CA9 knockdown suppresses proliferation via metabolic reprogramming and reduced cell migration, reaffirming that CA9 is a potential therapeutic target for ccRCC treatment.

The Pattern of Physique Preferences on Gay Dating App "Blued" in China: A Multiple Group Latent Class Analysis.

Previous studies have indicated homogamy in partner preferences among gay and bisexual men. Individuals on Blued (the most popular gay dating app in China) could identify their body type and preferred physiques according to six categories: monkey (thin gay men), average, muscularity, bear (heavy and hairy gay men), baboon (smaller than bears), and pig (plumper than bears). This study examined patterns of physique preferences across body types as well as sexual self-labels (tops, bottoms, versatiles, and others). In total, 188,716 Blued profiles (Mage = 31.1, SD = 7.1) were obtained. Multiple group latent class analysis was used to examine the patterns of physique preferences across the body type groups. The results revealed seven classes of physique preference. The four common physique preferences shared by all body type groups were "like averages," "like monkeys," "like muscularity," and "like bears." Individuals with a monkey or average body type exhibited a specific pattern of physique preference: "dislike bears." The two physique preferences specific to gay bear men were "like averages and muscularity," and "dislike monkeys." The highest preference for each physique was observed among individuals of the same body type. Furthermore, tops were more likely to have a muscular body and prefer a monkey physique, whereas bottoms were more likely to have a monkey body and prefer a muscular physique. These findings indicate body type-specific physique preferences based on an individual's own body type and sexual self-label identification, thus partially supporting the concept of homogamy in the physique preferences of gay men.

Combined experiments and molecular simulations for understanding the thermo-responsive behavior and gelation of methylated glucans with different glycosidic linkages.

HYPOTHESIS: Elucidation of the micro-mechanisms of sol-gel transition of gelling glucans with different glycosidic linkages is crucial for understanding their structure-property relationship and for various applications. Glucans with distinct molecular chain structures exhibit unique gelation behaviors. The disparate gelation phenomena observed in two methylated glucans, methylated (1,3)-ß-d-glucan of curdlan (MECD) and methylated (1,4)-ß-d-glucan of cellulose (MC), notwithstanding their equivalent degrees of substitution, are intricately linked to their unique molecular architectures and interactions between glucan and water. EXPERIMENTS: Density functional theory and molecular dynamics simulations focused on the electronic property distinctions between MECD and MC, alongside conformational variations during thermal gelation. Inline attenuated total reflection Fourier transform infrared spectroscopy tracked secondary structure alterations in MECD and MC. To corroborate the simulation results, additional analyses including circular dichroism, rheology, and micro-differential scanning calorimetry were performed. FINDINGS: Despite having similar thermally induced gel networks, MECD and MC display distinct physical gelation patterns and molecular-level conformational changes during gelation. The network of MC gel was formed via a "coil-to-ring" transition, followed by ring stacking. In contrast, the MECD gel comprised compact irregular helices accompanied by notable volume shrinkage. These variations in gelation behavior are ascribed to heightened hydrophobic interactions and diminished hydrogen bonding in both systems upon heating, resulting in gelation. These findings provide valuable insights into the microstructural changes during gelation and the thermo-gelation mechanisms of structurally similar polysaccharides.