Impact of maternal iron and zinc intake on low birth weight risk: a nested case-control study.

Background: The association between maternal iron/zinc intake and the risk of low birth weight (LBW) in infants is still unclear. This study aimed to investigate the effects of iron and zinc daily intake preconception and during pregnancy on the risk of delivering LBW babies and to assess whether there is an interaction between iron and zinc intake on the risk of LBW.

Methods: A nested case-control study was performed, including 565 cases and 7,510 controls in Lanzhou City, China.

Time-Lapse Acquisition of Both Freely Secreted Proteome and Exosome Encapsulated Proteome in Live Organoids' Microenvironment.

Proteomic communications in neighboring microenvironments during early organ development is a dynamic process that continuously reshapes human embryonic stem cells (hESCs) developmental fate. Such dynamic proteomic alteration in the microenvironment consists of both freely secreted proteome and exosome-encapsulated proteome. Simultaneous monitoring of the time-lapse shift of both proteomes with live organoids remains technically challenging.

Appraising the value of CircRNAs for the diagnosis and prognosis of esophageal squamous cell cancer: An updated meta-analysis.

Objective: The purpose of this study was to thoroughly assess the relevance of circular RNAs (circRNAs) in the diagnosis and prognosis of esophageal squamous cell carcinoma (ESCC)， and design a systematic review and meta-analysis.

Methods: Using Stata 14.0 software, a meta-analysis was carried out by looking for pertinent studies up to February 20, 2023, in the online databases PubMed, Embase, Web of Science, and CNKI.

A highly sensitive and robust electrochemical biosensor for microRNA detection based on PNA-DNA hetero-three-way junction formation and target-recycling catalytic hairpin assembly amplification.

Robust and sensitive methods for the detection of microRNAs (miRNAs) are crucial in the clinical diagnosis of cancers. In this study, a novel electrochemical biosensor with high sensitivity for miRNA-21 detection is developed, which relies on the formation of a peptide nucleic acid (PNA)-DNA hetero-three-way junction (H3WJ) and target-recycling catalytic hairpin assembly (CHA) amplification. The electroneutral PNA probes are initially immobilized onto a gold electrode to construct the sensor.

Identification of single nucleotide polymorphisms by a peptide nucleic acid-based sandwich hybridization assay coupled with toehold-mediated strand displacement reactions.

In this work, we developed a simple and accurate peptide nucleic acid (PNA)-based sandwich hybridization assay for single nucleotide polymorphisms (SNPs) in the p53 gene. Our approach combines the enzyme-free toehold-mediated strand displacement reaction (SDR) with real-time enzyme-linked immunosorbent assay (ELISA) to detect SNPs with high sensitivity and specificity. A PNA-DNA heteroduplex with an external toehold is designed and fixed on well surface of a 96-well plate.

Childhood Environmental Unpredictability and Prosocial Behavior in Adults: The Effect of Life-History Strategy and Dark Personalities.

Purpose: Childhood environments have an impact on an individuals' behavior and cognition. We explored the relationship and possible mechanisms between childhood environmental unpredictability (CEU) and prosocial behavior (PSB) in adults.

Participants And Methods: We recruited Chinese college students (N = 1035) and adopted a questionnaire survey and structural equation modeling.

New Analysis Framework Incorporating Mixed Mutual Information and Scalable Bayesian Networks for Multimodal High Dimensional Genomic and Epigenomic Cancer Data.

We propose a novel two-stage analysis strategy to discover candidate genes associated with the particular cancer outcomes in large multimodal genomic cancers databases, such as The Cancer Genome Atlas (TCGA). During the first stage, we use mixed mutual information to perform variable selection; during the second stage, we use scalable Bayesian network (BN) modeling to identify candidate genes and their interactions. Two crucial features of the proposed approach are (i) the ability to handle mixed data types (continuous and discrete, genomic, epigenomic, etc.