Machine learning-based analysis of the impact of 5' untranslated region on protein expression.

The 5' untranslated region (5'UTR) plays a crucial regulatory role in messenger RNA (mRNA), with modified 5'UTRs extensively utilized in vaccine production, gene therapy, etc. Nevertheless, manually optimizing 5'UTRs may encounter difficulties in balancing the effects of various cis-elements. Consequently, multiple 5'UTR libraries have been created, and machine learning models have been employed to analyze and predict translation efficiency (TE) and protein expression, providing insights into critical regulatory features.

Efficacy and safety of cAMP-biased GLP-1 receptor agonist ecnoglutide versus dulaglutide in patients with type 2 diabetes and elevated glucose concentrations on metformin monotherapy (EECOH-2): a 52-week, multicentre, open-label, non-inferiority, randomised, phase 3 trial.

Background: Ecnoglutide is a novel biased GLP-1 receptor agonist that preferentially activates the cAMP pathway over β-arrestin recruitment. We aimed to assess both non-inferiority and superiority of ecnoglutide versus dulaglutide, also a GLP-1 receptor agonist, in patients with type 2 diabetes.

Methods: We conducted a 52-week, open-label, active-controlled, phase 3 trial at 52 hospitals in China.

Reducing intraoperative hemorrhage in type II caesarean scar pregnancy: a study protocol comparing high-intensity focused ultrasound (HIFU) pretreatment vs. hysteroscopy-guided suction curettage-an open-label, 1:1 parallel-group, superiority-design investigator-initiated trial (IIT).

Background: The incidence of caesarean scar pregnancy (CSP) has significantly increased due to the increasing prevalence of caesarean deliveries and advances in diagnostic imaging. However, no consensus has yet been reached on the optimal therapeutic approach. Type II CSP leads to disease heterogeneity, characterized by multiple treatment options and the absence of a unified therapeutic approach.

Multiple analytical perspectives of mitochondrial genes in the context of preeclampsia: potential diagnostic markers.

Preeclampsia(PE) is closely linked to adverse maternal and fetal outcomes. Given the pivotal roles of mitochondria in various human diseases and the limited research on their involvement in PE, this study identified biomarkers linked to mitochondrial metabolism in PE and their roles in its pathogenesis. Data from three datasets were integrated using the ComBat algorithm to mitigate batch effects.

High-intensity focused ultrasound combined with hysteroscopic insertion of levonorgestrel-releasing intrauterine system for intrinsic adenomyosis: a retrospective observational study.

Objective: To retrospectively analyze the safety and efficacy of high-intensity focused ultrasound (HIFU) combined with hysteroscopic insertion of Levonorgestrel-Releasing Intrauterine System the treatment of intrinsic adenomyosis.

Methods: A total of 30 patients with intrinsic adenomyosis were enrolled. All patients initially underwent HIFU treatment, followed by hysteroscopic surgery to remove the remaining unabsorbed necrotic tissue and simultaneously insert the levonorgestrel-releasing intrauterine system (LNG-IUS) for long-term management of adenomyosis.

Overexpression of GPX4 in diabetic rat kidney alleviates renal injury induced by ferroptosis.

Ferroptosis-mediated injury in diabetic kidney (DKD) is receiving increasing attention. Glutathione Peroxidase 4 (GPX4) has long been considered a key protein to prevent ferroptosis, but its exact role in the progression of DKD, where this protein down-regulated, remains unclear. Thus, to clarify GPX4 in DKD progression, we have used adeno-associated viruses (AAVs) to overexpress it in kidneys of DKD rats.

Deep Multi-View Contrastive Clustering via Graph Structure Awareness.

Multi-view clustering (MVC) aims to exploit the latent relationships between heterogeneous samples in an unsupervised manner, which has served as a fundamental task in the unsupervised learning community and has drawn widespread attention. In this work, we propose a new deep multi-view contrastive clustering method via graph structure awareness (DMvCGSA) by conducting both instance-level and cluster-level contrastive learning to exploit the collaborative representations of multi-view samples. Unlike most existing deep multi-view clustering methods, which usually extract only the attribute features for multi-view representation, we first exploit the view-specific features while preserving the latent structural information between multi-view data via a GCN-embedded autoencoder, and further develop a similarity-guided instance-level contrastive learning scheme to make the view-specific features discriminative.

A model for the adaptation of Euryale ferox leaves to aquatic environments through EfCGT1-controlled flavonoid C-glycoside-specific accumulation in epidermis cells.

With changes in complex environments, plants, especially their leaves, are constantly adapting. Aquatic plants face more diverse and harsh survival situations. However, their adaptive mechanisms are largely unknown.

The relevance of complement levels in assessing the activity of lupus nephritis of different pathological types.

Objective: Systemic lupus erythematosus (SLE) is a chronic multisystem autoimmune disease that predominantly affects women of childbearing age. Lupus nephritis (LN) is a relatively common and serious complication in clinical patients. The aim of this study was to evaluate the correlation of complement levels and SLEDAI- 2000 (SLEDAI- 2 K) with renal activity in different pathological types of LN.

Telomere-to-telomere genome assembly reveals insights into the adaptive evolution of herbivore-defense mediated by volatile terpenoids in Oenanthe javanica.

Releasing large quantities of volatiles is a defense strategy used by plants to resist herbivore attack. Oenanthe javanica, a perennial herb of the Apiaceae family, has a distinctive aroma due to volatile terpenoid accumulation. At present, the complete genome and genetic characteristics of volatile terpenoids in O.

The emergence of highly resistant and hypervirulent ST405 clone in a tertiary hospital over 8 years.

The emergence of carbapenem-resistant (CREC) poses crucial challenges in clinical management, requiring continuous monitoring to inform control and treatment strategies. This study aimed to investigate the genomic and epidemiological characteristics of CREC isolates obtained from a tertiary hospital in China between 2015 and 2022. Next-generation sequencing was used for genomic profiling, and clinical data from patients were integrated into the analysis.

Identification and characterization of anthocyanins' composition and regulatory genes involved in anthocyanins biosynthesis in water dropwort (Oenanthe javanica).

This study showed that anthocyanin was the main pigments related to purple stem and OjUFGT1 is involved in anthocyanin glycosylation in water dropwort. Water dropwort is a kind of aquatic vegetable with many medicinal values. In the study, the green-stem water dropwort 'FQ1H' and purple-stem water dropwort 'Sq013' were selected as plant materials.

The transcription factor NnNAC100 positively regulates amylopectin biosynthesis by activating NnSBEII in the rhizome of Nelumbo nucifera Gaertn.

NnNAC100-NnSBEII modules enhance starch content of the rhizome in Nelumbo nucifera Gaertn. Nelumbo nucifera Gaertn. is a popular aquatic vegetable and traditional Chinese medicine whose quality and taste are mainly determined by the starch.

Inhibition of lysine-specific histone demethylase 1A suppresses adenomyosis through reduction in ectopic endometrial stromal cell proliferation, migration, and invasion.

Objective: Deep endometriosis is now referred to as adenomyosis externa, whereas adenomyosis is once known as endometriosis interna. Lysine-specific histone demethylase 1A (KDM1A, commonly LSD1) is a lysine demethylase that targets histone and non-histone proteins. This study aimed to assess how KDM1A affects the migration, invasion, and proliferation of adenomyosis-derived endometrial stromal cells (ESCs).

Pattern Recognition of Trace Element vs Heavy Elements in Patients with Membranous Nephropathy.

The objective of the present study was to investigate the role of trace elements and heavy elements in the pattern recognition in patients with membranous nephropathy. Elements such as V, Cr, Mn, Co, Ni, Cu, Zn, Ga, As, Se, Sr, Cd, Cs, Ba, Pb, and Hg were quantified by inductively coupled plasma mass spectrometry in blood and urine of 14 patients with membranous nephropathy, 14 patients with IgA nephropathy, and 13 normal controls. The blood levels of Cr, Co, Ni, Cu, Zn, Ga, As, Cd, and Ba and the urine levels of Co, Ni, Cu, and Zn in patients with membranous nephropathy were significantly lower than those in normal controls (P < 0.

Effect of Slow-Release Urea on Yield and Quality of .

Slow-release urea, as an environmentally friendly fertiliser, can provide a continuous and uniform supply of nutrients needed by the crop, reduce the amount and frequency of fertiliser application, and promote the uptake and utilisation of nitrogen in crops. The production of is often dominated by the application of quick-acting fertilisers, resulting in serious problems of over-fertilisation, inappropriate periods of fertilisation, eutrophication of soil and water due to fertilisation, and difficulties in applying fertilisers. Therefore, in this study, different amounts (CK, T1, T2, T3, T4, T5) of SRU (Slow-release Urea) were first applied, and T3 (18.

Study on Quality and Starch Characteristics of Powdery and Crispy Lotus Roots.

Nine varieties of lotus root (, , , , , , , , and ) were selected as the research materials to compare their differences in physical, chemical, and starch characteristics before and after boiling, frying, and microwaving. The results showed that , , , , and belong to the crispy lotus root type, while , , , and belong to the powdery lotus root type. Furthermore, the nine varieties were characterized for their starch by optical micrograph (OM), polarized micrograph (PM), scanning electron micrograph (SEM), attenuated total reflection Fourier-transform infrared spectroscopy (ATR-FTIR), X-ray diffraction (XRD), carbon-13 cross-polarization/magic angle spinning nuclear magnetic resonance (C CP/MAS NMR), and differential scanning calorimetry (DSC).

Decoupling visual and identity features for adversarial palm-vein image attack.

Palm-vein has been widely used for biometric recognition due to its resistance to theft and forgery. However, with the emergence of adversarial attacks, most existing palm-vein recognition methods are vulnerable to adversarial image attacks, and to the best of our knowledge, there is still no study specifically focusing on palm-vein image attacks. In this paper, we propose an adversarial palm-vein image attack network that generates highly similar adversarial palm-vein images to the original samples, but with altered palm-identities.

Identification of the function of a key gene NnHCT1 in lignin synthesis in petioles of Nelumbo nucifera.

Leaf petiole or stem strength is an important agronomic trait affecting the growth of underground organs as a channel for material exchange and plays a vital role in the quality and yield of crops and vegetables. There are two different types of petioles in lotus, floating leaf petioles and vertical leaf petioles; however, the internal difference mechanism between these petioles is unclear. In this study, we investigated the differences between the initial vertical leaf petioles and the initial floating leaf petioles based on RNA sequencing (RNA-seq), and >2858 differentially expressed genes were annotated.

Crohn's disease-associated IgA nephropathy may prone to better renal outcome.

Background And Aim: Renal involvement in Crohn's Disease (CD) was rare in the population. Little was known between IgA nephropathy and CD. This study aimed to investigate the differences in clinical and outcome features of CD-associated IgA nephropathy (CD-IgAN) and primary IgA nephropathy (PIgAN).

Complete Region of Interest for Unconstrained Palmprint Recognition.

Unconstrained palmprint images have shown great potential for recognition applications due to their lower restrictions regarding hand poses and backgrounds during contactless image acquisition. However, they face two challenges: 1) unclear palm contours and finger-valley points of unconstrained palmprint images make it difficult to locate landmarks to crop the palmprint region of interest (ROI); and 2) large intra-class diversities of unconstrained palmprint images hinder the learning of intra-class-invariant palmprint features. In this paper, we propose to directly extract the complete palmprint region as the ROI (CROI) using the detection-style CenterNet without requiring the detection of any landmarks, and large intra-class diversities may occur.