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Mycobacterium gordonae was first described 50 years ago as a slow-growing scotochromogenic nontuberculous mycobacterium. Previous research revealed vague molecular typing results for M. gordonae-like strains. For example, the RNA polymerase-[beta] [...]

Calcium alginate fiber has become an ideal raw material for wound dressing preparation due to its excellent moisture absorption and biological compatibility. There are still some problems such as bacterial contamination of wounds and difficult observation of wound healing in the actual use process. To avoid bacterial contamination of the wound and visually observe the wound healing situation, a calcium alginate fiber with pH‐responsive and antibacterial properties has been developed by the facile and eco‐friendly one‐step method. In order to make the calcium alginate fiber can be used intelligently to continuously monitor wound changeable pH, the fiber is originally solution dyed by alizarin dye. And the antibacterial property of this calcium alginate fiber is mainly from silver nanoparticles (AgNPs) which are in situ reduced by alginate in the spinning solution. This one‐step wet spinning method can avoid the subsequent complicated process required for calcium alginate fiber functionalization while ensuring the material properties. Owing to the existence of AgNPs, the calcium alginate fiber prepared has a significant antibacterial effect on two kinds of gram bacteria. Therefore, this calcium alginate fiber exhibits good pH‐responsive and antibacterial properties performance and is an improvement upon the current flexible pH sensor to indicate wound healing. [ABSTRACT FROM AUTHOR]

Alternative polyadenylation (APA) generates different 3′‐untranslated regions (3′UTRs) to regulate gene expression and localization, and affects a variety of biological processes. Here, we characterized the 3′UTR dynamics during the oocyte‐to‐zygote transition by analysing our previously reported porcine single‐cell RNA‐seq (scRNA‐seq) datasets (in vitro matured metaphase II (MII) oocytes, in vitro fertilized zygotes (IVF1) and parthenogenetically activated 1‐cell embryos (PA1)). After IVF1 versus MII comparison, dynamic analyses of APA from RNA‐seq (DaPars) method identified 139 mRNAs with significantly different 3′UTRs (padj. ≤.05), mainly enriched in cell cycle, regulation of cyclin‐dependent protein kinase activity, histone modification, mRNA surveillance, and regulation of actin cytoskeleton. For PA1 versus MII comparison, 105 mRNAs with significantly different 3′UTRs (padj. ≤.05) were identified to be mainly enriched in intracellular transport, mitotic spindle organization, cell cycle, pyruvate metabolism and glycolysis/gluconeogenesis. Furthermore, there were 7 mRNAs with more significant 3′UTR differences (|△PDUI| ≥ 0.45 and |log2[PDUI ratio]| ≥ 0.59) respectively in IVF1 versus MII (Lrp2bp, Mtfr2, Nhlrc2, Psip1, Smu1, Ssr1 and Wtap) and PA1 versus MII (Asf1b, Dimt1, Nap1l1, Ncoa4, Nudt21, Pnn and Rpl15) comparisons. Integrative genomics viewer analysis further identified that 3′UTRs of Psip1, Smu1, Ssr1 and Wtap had more than 140 nt average length changes, whereas those of Dimt1, Nap1l1 and Rpl15 were shortened with more than 460 nt. Regulatory elements (PAS, CPE, microRNA binding sites and m6A sites) in 3′UTRs of different lengths were predicted. Our findings provide useful information to further investigate the molecular mechanism of 3′UTR in regulating the oocyte‐to‐zygote transition of pig embryos. [ABSTRACT FROM AUTHOR]

Alternative polyadenylation affects the length and composition of 3′‐untranslated region (3′‐UTR) and regulates mRNA stability or translational activity to affect important biological processes. However, global 3′‐UTR landscape and its relationship with gamete maturation remain less studied. Here, we analysed our previously reported single‐cell RNA‐seq data of germinal vesicle and metaphase II stage oocytes in pigs to systematically catalogue the 3′‐UTR dynamics during oocyte maturation. Two softwares (DaPars and APAtrap) were employed and identified 110 and 228 mRNAs with significantly different 3′‐UTRs (adjusted p ≤.05), respectively. Gene enrichment analyses found signalling pathways related with biological processes of female gametophyte production, methyltransferase activity and mRNA surveillance (DaPars) and cell cycle process, regulation of ERK1 and ERK2 cascade, regulation of translation, spindle organization, kinetochore, condensed chromosome and progesterone‐mediated oocyte maturation (APAtrap), respectively. Moreover, 18 of 110 mRNAs (|△PDUI| ≥ 0.25 and |log2PDUI ratio| ≥ 0.59) and 15 of 228 mRNAs (Perc. diff. ≥ 0.5) were with greater difference of 3′‐UTR length or abundance, and integrative genomics viewer analysis further identified 4 (Alg10, Hadhb, Hsd17b4 and Sbds) of 18 mRNAs to be with 3′‐UTR length differed ≥150 bp and 6 (Gcc1, Hnrnpa2b1, Lsm6, Prpf18, Sfr1 and Ust) of 15 mRNAs to be with 3′‐UTR abundance extremely differed. Furthermore, the location, sequences and number of cis‐elements were predicted, which were shown to derange cytoplasmic polyadenylation element, poly(A) site and microRNA binding sites within 3′‐UTRs of Alg10, Hadhb, Hsd17b4 and Sbds mRNAs. Taken together, global 3′‐UTR landscape changes dynamically with oocyte meiotic maturation, potentially involved in regulating oocyte meiotic process in pigs. [ABSTRACT FROM AUTHOR]

Long non‐coding RNAs (lncRNAs) function through multiple tiers of molecular circuits and are vital to gamete maturation and early embryo development. However, in pig early embryos, identification and expression dynamics of lncRNAs remain less studied. Here, we systematically analysed the expression dynamics of lncRNAs based on our previously published single‐cell RNA‐seq data from pig mature oocytes (GSE160334), and single blastomeres biopsied from pig in vitro fertilized (IVF) and early parthenogenetically activated (PA) embryos (1‐ to 8‐cell stages; GSE164812). With the progression of embryo development, the total number of expressed lncRNAs gradually decreased and showed great variation at each developmental stage for both IVF and PA groups. Consecutive stage pairwise comparison of MII oocytes, 1‐cell zygotes, 2‐cell, 4‐cell and 8‐cell IVF embryos identified 151, 245, 1119 and 188 differentially expressed (DE) lncRNAs, including 119, 80, 867, 77 up‐regulated and 32, 165, 252, 111 down‐regulated, while 289, 437, 895 and 495 DE lncRNAs (141, 89, 768, 97 up‐regulated and 148, 348, 127, 398 down‐regulated) were identified in PA embryos at the same stages. The DE lncRNAs identified within IVF embryos were much different from that identified within PA embryos, showing embryo type‐specific manner. Further cross‐comparison between PA and IVF embryos identified 184, 656, 2502 and 266 DE lncRNAs for the 1‐ to 8‐cell embryo stages, respectively. Further GO and KEGG enrichment analysis of DE mRNAs targeted by DELs indicated that different signalling pathways were involved in maternal‐only and bi‐parental embryo development. Collectively, comparative profiling of lncRNA expression dynamics between pig IVF and PA embryos provides a valuable resource, to investigate further regulatory mechanisms of lncRNAs associated with ZGA and maternal RNA decay during early embryo development. [ABSTRACT FROM AUTHOR]

In order to analysis whether the wool/polyester fabrics' aurora phenomenon relate to its surface microstructure and composition. This paper studied the wool/polyester surface microstructure by means of scanning electron microscopy (SEM), and also analyzed the surface material composition through the VERTEX 70 FT-IR spectrometer, CHNS/O Organic element analyzer and Gas chromatography mass spectrometry (GC-MS). We reached that the wool/polyester fabrics, wool scale severely damaged under the action of the tension, friction, compression and external mechanical forces in wearing process. The fabrics, surface really exists grease and lipid materials, which is also the important reasons that caused the fabrics aurora phenomenon. [ABSTRACT FROM AUTHOR]

Background: This study aimed to use artificial intelligence (AI) to integrate various radiological and clinical pathological data to identify effective predictors of contralateral cervical lymph node metastasis (CCLNM) in patients with papillary thyroid carcinoma (PTC) and to establish a clinically applicable model to guide the extent of surgery., Methods: This prospective cohort study included 603 patients with PTC from three centers. Clinical, pathological, and ultrasonographic data were collected and utilized to develop a machine learning (ML) model for predicting CCLNM. Model development at the internal center utilized logistic regression along with other ML algorithms. Diagnostic efficacy was compared among these methods, leading to the adoption of the final model (random forest). This model was subject to AI interpretation and externally validated at other centers., Results: CCLNM was associated with multiple pathological factors. The Delphian lymph node metastasis ratio, ipsilateral cervical lymph node metastasis number, and presence of ipsilateral cervical lymph node metastasis were independent risk factors for CCLNM. Following feature selection, a Delphian lymph node-CCLNM (D-CCLNM) model was established using the Random forest algorithm based on five attributes. The D-CCLNM model demonstrated the highest area under the curve (AUC; 0.9273) in the training cohort and exhibited high predictive accuracy, with AUCs of 0.8907 and 0.9247 in the external and validation cohorts, respectively., Conclusions: We developed a new, effective method that uses ML to predict CCLNM in patients with PTC. This approach integrates data from Delphian lymph nodes and clinical characteristics, offering a foundation for guiding surgical decisions, and is conveniently applicable in clinical settings., (Copyright © 2024 The Author(s). Published by Wolters Kluwer Health, Inc.)

Breast cancer is one of the most common female malignant tumors today and represents a serious health risk for women. Although the survival rate and quality of life of patients with breast cancer are improving with the continuous development of medical technology, metastasis, recurrence, and drug resistance of breast cancer remain a significant problem. Huaier, a traditional Chinese medicine (TCM) fungus, is a type of Sophora embolism fungus growing on old Sophora stems. The polysaccharides of Trametes robiniophila Murr (PS-T) are the main active ingredient of Huaier. There is increasing evidence that Huaier has great potential in breast cancer treatment, and its anti-cancer mechanism may be related to a variety of biological activities, such as the inhibition of cell proliferation, metastasis, tumor angiogenesis, the promotion of cancer cell death, and regulation of tumor-specific immunity. There is growing evidence that Huaier may be effective in the clinical treatment of breast cancer. This review systematically summarizes the basic and clinical studies on the use of Huaier in the treatment of breast cancer, providing useful information to guide the clinical application of Huaier and future clinical studies., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Luo, Zhou, Wu, Tian, Jiang and Wang.)

The chemical constituents in Urtica dioica fruits were investigated by silica gel chromatography, preparative HPLC, NMR, and HR-MS for the first time. As a result, 21 compounds were isolated from the fruits of U. dioica and identified 7R,8S,8'R-olivil(1), oleic acid(2), α-linoleic acid(3), palmic acid(4), methyl palmitate(5), α-linolenic acid(6), α-linolenic acid methyl ester(7), 5-O-caffeoyl-shikimic acid(8), vanillic acid(9), p-coumaric acid(10), 5-O-p-coumaroylshikimic acid(11), cinnamic acid(12), quinic acid(13), shikimic acid(14), ethyl caffeate(15), coniferyl ferulate(16), ferulic acid(17), caffeic acid(18), chlorogenic acid(19), pinoresinol(20), and quercetin(21). Compound 1 was a new compound and compounds 2-16 were isolated from U. dioica for the first time.