Obesity is a major cause of metabolic dysfunction-associated steatohepatitis (MASH) and is characterized by inflammation and insulin resistance. Interferon-γ (IFNγ) is a pro-inflammatory cytokine elevated in obesity and modulating macrophage functions. Here, we show that male mice with loss of IFNγ signaling in myeloid cells (Lyz-IFNγR2^−/−) are protected from diet-induced insulin resistance despite fatty liver. Obesity-mediated liver inflammation is also attenuated with reduced interleukin (IL)−12, a cytokine primarily released by macrophages, and IL-12 treatment in vivo causes insulin resistance by impairing hepatic insulin signaling. Following MASH diets, Lyz-IFNγR2^−/− mice are rescued from developing liver fibrosis, which is associated with reduced fibroblast growth factor (FGF) 21 levels. These results indicate critical roles for IFNγ signaling in macrophages and their release of IL-12 in modulating obesity-mediated insulin resistance and fatty liver progression to MASH. In this work, we identify the IFNγ-IL12 axis in regulating intercellular crosstalk in the liver and as potential therapeutic targets to treat MASH.

We investigated the effects of maternal feeding of a high‐fat diet (HFD) during the perinatal period on hepatic metabolism and inflammation in male offspring mice at weaning and in early adulthood. O...

Background: Children of parents who have higher health literacy (HL) benefit more from preventive child health care. Digital interventions have been used to improve parents’ HL with high satisfaction. KhunLook is a Thai mobile app conceived using strategies to improve HL. It was developed to assist parents in assessing and keeping track of their child’s health in complement to the standard Maternal and Child Health Handbook (MCHH). Objective: This trial focuses on the effectiveness of using the KhunLook app with the MCHH and standard care (intervention) compared with the conventional MCHH and standard care (control) on parents’ HL. Data on accuracy of parents’ assessment of their child’s health and growth as well as convenience of use of the tool (app or MCHH) in the well-child clinic were collected at 2 visits (immediate=visit 1, and intermediate=visit 2). Methods: Parents of children under 3 years of age who (1) had a smartphone or tablet and the MCHH and (2) could participate in 2 visits, 2-6 months apart at Srinagarind Hospital, Khon Kaen, Thailand, were enrolled in this 2-arm parallel randomized controlled trial between April 2020 and May 2021. Parents were randomized 1:1 to 2 groups. At visit 1, data on demographics and baseline HL (Thailand Health Literacy Scales) were collected. Parents in the app group used the KhunLook app and the control group used their child’s handbook to assess their child’s growth, development, nutrition and feeding, immunization status and rated the convenience of the tool they used. At visit 2, they repeated the assessments and completed the HL questionnaire. Results: A total of 358 parents completed the study (358/408, 87.7%). After the intervention, the number of parents with high total HL significantly increased from 94/182 (51.6%) to 109/182 (59.9%; 15/182; Δ 8.2%; P=.04), specifically in the health management (30/182; Δ 16.4%; P<.001) and child health management (18/182; Δ 9.9%; P=.01) domains in the app group, but not in the control group. Parents in the app group could correctly assess their child’s head circumference (172/182, 94.5% vs 124/176, 70.5%; P<.001) and development (173/182, 95.1% vs 139/176, 79.0%; P<.001) better than those in the control group at both visits. A higher proportion of parents in the app group rated their tool as very easy or easy to use (174-181/182, 95.6%-99.5% vs 141-166/176, 80.1%-94.3%; P<.001) on every item since the first visit. Conclusions: Our results suggest the potential of a smartphone app (KhunLook) to improve parents’ HL as well as to promote superior accuracy of parents’ assessment of their child’s head circumference and development, with a similar effect on weight, height, nutrition and feeding, and immunization as in traditional interventions. Using the KhunLook app is useful and more convenient for parents in promoting a healthy child preventive care during early childhood. Trial Registration: Thai Clinical Trials Registry TCTR20200312003; https://www.thaiclinicaltrials.org/show/TCTR20200312003

OBJECTIVES: Malnutrition in hospitalized patients is a frequently overlooked health issue. We aimed to assess the prevalence and pattern of nutritional disorders in hospitalized Thai children from the National Health Database.METHODS: Hospitalized children aged 1 month to 18 years diagnosed with nutritional disorders between 2015 and 2019 were retrospectively reviewed using the National Health Security Office data. Based on the International Classification of Diseases, 10th revision, Clinical Modification, nutritional disorders were classified into 3 major forms of malnutrition: undernutrition (E40-E46), overweight and obesity (E66), and micronutrient deficiencies (D50-D53, E50-E56, E58, E60-E61, and E63).RESULTS: Out of 5,188,033 hospitalized children, malnutrition was identified in 115,254 (2.2%). Protein-energy malnutrition (PEM), overweight and obesity, and micronutrient deficiencies were prevalent in 0.21%, 0.27%, and 1.81%, respectively. Among those with micronutrient deficiencies, 95.0% had iron deficiency anemia, 2.2% had vitamin D deficiency, and 0.7% had zinc deficiency. Children aged under 5 years mostly had PEM, followed by iron deficiency anemia. Teenagers commonly had obesity and vitamin D deficiency. Patients with PEM who were admitted with common diseases had significantly longer hospital stays and higher hospital costs and mortality rates than those without PEM.CONCLUSIONS: Hospitalized children had various nutritional disorders, particularly PEM, which was associated with higher morbidity and mortality. Nutritional screening tools should be utilized for the early detection and treatment of malnutrition. Specific International Classification of Diseases codes for nutritional care services and intervention should be available. Additionally, nutritional interventions should be reimbursed, along with nutritional education and empowerment of healthcare providers, to improve hospital care service and improve patient outcomes.

Objective: Infants are at a high risk of developing anaemia, which can arise from various causes, including inappropriate feeding practices. However, few infants attend anaemia screening programmes due to poor cooperation and being time-consuming. This study evaluated the accuracy of noninvasive total haemoglobin (Hb) spot-check monitoring as part of anaemia screening in healthy infants, compared with the conventional laboratory method. Design: A cross-sectional study was conducted using a consecutive sampling technique. Setting: The study was carried out at the Well-Child Clinic, Khon Kaen University, Thailand. Participants: Healthy, full-term infants aged 6–12 months who were scheduled for vaccination. Spectrophotometric haemoglobin (SpHb) was measured using Masimo Rad-67 with Rainbow DCI-mini Sensor. These values were compared with conventional laboratory analysis (HbLab) performed on the same day. Primary and secondary outcome: Differences between Hb values using the two methods were analysed using the Bland–Altman method. Sensitivity, specificity and positive and negative predictive values (PPV and NPV) for detecting anaemia were determined. Anaemia was defined as HbLab of <11.0 g/dL. Results: A total of 104 infants, with a median age of 9.6 (IQR 9.3, 10.9) months, were included. The prevalence of anaemia, defined by HbLab, was 38.46%. The mean SpHb was 12.20±1.10 g/dL, while the mean HbLab was 11.19±1.21 g/dL. A moderate positive correlation was observed ( r =0.575, p<0.001). Bland–Altman analysis of SpHb vs HbLab showed an estimated bias of 1.007 g/dL with a 95% limit of agreement ranging from −1.091 to 3.104 g/dL. The mean bias was 1.635 g/dL (−0.617 to 3.887) in the anaemic group and 0.614 g/dL (−0.964 to 2.192) in the nonanaemic group. Using the SpHb cut-off point of <13.0 g/dL, the sensitivity and specificity of SpHb to detect anaemia were 95.0% and 35.9%, with PPV and NPV of 48.1% and 92.0%, respectively. Conclusion: A noninvasive tool for measuring Hb, with moderate sensitivity and NPV, may provide utility for initial screening to reduce unnecessary venipuncture in infants. However, its limited specificity and PPV necessitate confirmatory testing through conventional laboratory methods for accurate diagnosis. Depending on the context and available resources, it has potential to complement existing diagnostic processes, particularly in settings where rapid and noninvasive screening is prioritised. Trial registration number: Thai Clinical Trials Registry (TCTR20210816002).