BACKGROUND/OBJECTIVES: This cross-sectional study assessed household food security status and determined its association with diet quality and weight status among indigenous women from the Mah Meri tribe in Peninsular Malaysia. SUBJECTS/METHODS: The Radimer/Cornell Hunger and Food Insecurity Instrument and the Malaysian Healthy Eating Index (HEI) were used to assess household food security status and diet quality, respectively. Information on socio-demographic characteristics and 24-hour dietary recall data were collected through face-to-face interview, and anthropometric measurements including weight, height, and body mass index (BMI) were obtained from 222 women. RESULTS: Majority of households (82.9%) experienced different levels of food insecurity: 29.3% household food insecurity, 23.4% individual food insecurity, and 30.2% fell into the child hunger group. The food-secure group had significantly fewer children and smaller household sizes than the food-insecure groups (P < 0.05). The mean household income, income per capita, and food expenditure significantly decreased as food insecurity worsened (P < 0.001). The food-secure group had significantly higher Malaysian HEI scores for grains and cereals (P < 0.01), as well as for meat, poultry, and eggs (P < 0.001), than the food-insecure groups. The child-hunger group had significantly higher fat (P < 0.05) and sodium (P < 0.001) scores than the food-secure and household food-insecure groups. Compared to the individual food-insecure and child-hunger groups, multivariate analysis of covariance showed that the food-secure group was significantly associated with a higher Malaysian HEI score while the household food-insecure group was significantly associated with a higher BMI after controlling for age (P < 0.025). CONCLUSIONS: The majority of indigenous households faced food insecurity. Food insecurity at the individual and child levels was associated with lower quality of diet, while food insecurity at the household level was associated with higher body weight. Therefore, a substantial effort by all stakeholders is warranted to improve food insecurity among poorer households. The results suggest a pressing need for nutritional interventions to improve dietary intake among low income households.
Body Mass Index ; Body Weight ; Child ; Cross-Sectional Studies ; Diet* ; Eating ; Edible Grain ; Eggs ; Family Characteristics* ; Female ; Food Supply* ; Health Expenditures ; Humans ; Hunger ; Malaysia* ; Meat ; Multivariate Analysis ; Ovum ; Poultry ; Sodium

OBJECTIVETo investigate the potential efficacy of panaxadiol saponins component (PDS-C), a biologically active fraction isolated from total ginsenosides, to reverse chemotherapy-induced myelosuppression and pancytopenia caused by cyclophamide (CTX).

METHODSMice with myelosuppression induced by CTX were treated with PDS-C at a low- (20 mg/kg), moderate- (40 mg/kg), or high-dose (80 mg/kg) for 7 consecutive days. The level of peripheral white blood cell (WBC), neutrophil (NEU) and platelet (PLT) were measured, the histopathology and colony formation were observed, the protein kinase and transcription factors in hematopoietic cells were determined by immunohistochemical staining and Western blot.

RESULTSIn response to PDS-C therapy, the peripheral WBC, NEU and PLT counts of CTX-induced myelosuppressed mice were significantly increased in a dose-dependent manner. Similarly, bone marrow histopathology examination showed reversal of CTX-induced myelosuppression with increase in overall bone marrow cellularity and the number of hematopoietic cells (P<0.01). PDS-C also promoted proliferation of granulocytic and megakaryocyte progenitor cells in CTX-treated mice, as evidenced by significantly increase in colony formation units-granulocytes/monocytes and -megakaryocytes (P<0.01). The enhancement of hematopoiesis by PDS-C appears to be mediated by an intracellular signaling pathway, this was evidenced by the up-regulation of phosphorylated mitogen-activated protein kinase (p-MEK) and extracellular signal-regulated kinases (p-ERK), and receptor tyrosine kinase (C-kit) and globin transcription factor 1 (GATA-1) in hematopoietic cells of CTX-treated mice (P<0.05).

CONCLUSIONSPDS-C possesses hematopoietic growth factor-like activities that promote proliferation and also possibly differentiation of hematopoietic progenitor cells in myelosuppressed mice, probably mediated by a mechanism involving MEK and ERK protein kinases, and C-kit and GATA-1 transcription factors. PDS-C may potentially be a novel treatment of myelosuppression and pancytopenia caused by chemotherapy.

Animals ; Antineoplastic Agents ; adverse effects ; Cell Proliferation ; drug effects ; Cyclophosphamide ; adverse effects ; Extracellular Signal-Regulated MAP Kinases ; metabolism ; GATA1 Transcription Factor ; metabolism ; Ginsenosides ; pharmacology ; therapeutic use ; Hematopoiesis ; drug effects ; Mice ; Mitogen-Activated Protein Kinase Kinases ; metabolism ; Myeloid Cells ; drug effects ; pathology ; Panax ; chemistry ; Pancytopenia ; chemically induced ; drug therapy ; pathology ; Phosphorylation ; drug effects ; Proto-Oncogene Proteins c-kit ; metabolism ; Saponins ; pharmacology ; Up-Regulation ; drug effects

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.