METHODS: This is a retrospective cross-sectional study over a seven-month duration recruiting all patients with clinical suspicion of chorioamnionitis and/or maternal intrapartum pyrexia. The distribution and the degree of cord inflammation were assessed. The cases were also evaluated for maternal inflammatory response (MIR) and chorionic vasculitis (CV).
RESULTS: Of the 191 placentas, 88 (46.1%) had some degree of cord inflammation. Forty-nine (55.7%) had a differential in cord inflammation, with distal cord section (n = 38) demonstrating significant greater inflammation than that of proximal cord section (n = 11) (p<0.001). There were 20 cases with phlebitis only and 8 cases demonstrated arteritis only in either proximal or distal cord sections. Increasing magnitude of cord inflammation was significantly associated with increasing severity of MIR and the rate of CV (p<0.001). CV was observed in 25 (24.3%) cases showing absence of cord inflammation, while 12 (13.6%) cases with cord FIR demonstrated no CV.
DISCUSSION: Inflammatory reaction can occur variably throughout the length of the umbilical cord and chorionic plate vessels, with greater inflammation seen in the distal cord section. We affirm the current Amsterdam recommendation of submitting at least two cross sections of the cord representing proximal and distal sites and two sections from placental parenchyma to facilitate the identification of FIR.
MATERIALS AND METHODS: A literature search was carried out to gather eligible studies from the following widely sourced electronic databases such as Scopus, PubMed and Google Scholar using the combination of the following keywords: AD, MRS, brain metabolites, deep learning (DL), machine learning (ML) and artificial intelligence (AI); having the aim of taking the readers through the advancements in the usage of MRS analysis and related AI applications for the detection of AD.
RESULTS: We elaborate on the MRS data acquisition, processing, analysis, and interpretation techniques. Recommendation is made for MRS parameters that can obtain the best quality spectrum for fingerprinting the brain metabolomics composition in AD. Furthermore, we summarise ML and DL techniques that have been utilised to estimate the uncertainty in the machine-predicted metabolite content, as well as streamline the process of displaying results of metabolites derangement that occurs as part of ageing.
CONCLUSION: MRS has a role as a non-invasive tool for the detection of brain metabolite biomarkers that indicate brain metabolic health, which can be integral in the management of AD.
MATERIALS AND METHODS: Lipopolysaccharide (LPS)-induced inflamed dental pulp-derived stem cells (iDPSCs) were treated with different concentrations of HPL and PRP (10% and 20%) followed by determination of viability using Alamar Blue assay. Expression of angiogenesis-, adhesion-, and inflammation-regulating genes was also analyzed using RT-qPCR array. Furthermore, expression of growth factors at protein level in the cell culture microenvironment was measured using multiplex assay.
RESULTS: Viability of iDPSCs was significantly (p