Accidents ; Acute Lung Injury ; chemically induced ; Administration, Oral ; Humans ; Mediastinal Emphysema ; complications ; Potassium Permanganate ; toxicity

OBJECTIVETo understand adiponectin, leptin, insulin and ghrelin levels in preterm colostrum and mature milk and their influence on the growth and development of the premature infant.

METHODThe study subjects were divided into two groups: preterm group and control group. Specimens of colostrum and mature milk on 42nd day after delivery were collected, the general situation of maternal and infants growth parameters at birth and at postnatal 42 days were recorded. Leptin, adiponectin, insulin and ghrelin levels in colustrum and mature milk were determined and compared.

RESULTA total of 128 mother-infant pairs were involved. There were 128 specimens of colostrums (80 from preterm group, 48 from control group) and 94 specimens of mature milk(50 from premature group, 44 from control group). The levels of colostrum, mature milk adiponectin, leptin, and insulin were not significantly different between the 2 groups; ghrelin levels in colostrum and mature milk of premature group were significantly lower than those in control group (P = 0.038), adiponectin and leptin levels in colostrum were higher than those of the mature milk (P < 0.05), colostrum ghrelin levels were lower than those of mature milk (P < 0.05). Adiponectin, leptin, and ghrelin showed no significant difference between different gestational age groups ( ≤ 34 weeks group vs. > 34 weeks group). True insulin level of mature milk in 34 weeks group was higher than that of > 34 weeks group (29.3 vs. 21.6 mU/L, P = 0.045); true insulin level in colostrums in ≤ 34 weeks group was lower than that in mature milk (21.7 vs. 29.3 mU/L, P = 0.000). Adiponectin levels in colostrum and 42 days weight gain were negatively correlated (r = -0.362, P = 0.025) . Insulin level in mature milk had a negative correlation with birth weight (r = -0.319, P = 0.029) . Ghrelin levels in colostrum and birth weight, length, head circumference, head circumference on 42(nd) day were positively correlated (r = 0.271,0.261,0.360, P < 0.05); weight, length at 42(nd) day and ghrelin levels showed borderline positive correlation (P = 0.050, 0.058).

CONCLUSIONMany bioactive hormones in milk might participate in the regulation of suitable growth after birth. Premature birth affects hormone levels in breast milk. Breast feeding is very important in preterm infants.

Adiponectin ; analysis ; Birth Weight ; physiology ; Breast Feeding ; Colostrum ; chemistry ; Female ; Gestational Age ; Ghrelin ; analysis ; Humans ; Infant ; Infant Nutritional Physiological Phenomena ; Infant, Newborn ; Infant, Premature ; growth & development ; Insulin ; analysis ; Leptin ; analysis ; Male ; Milk, Human ; chemistry ; Weight Gain ; physiology

Objective To construct a model for predicting the benign and malignant risk of the patients with gastric diseases using con-ventional laboratory indicators such as tumor markers,blood routine,and coagulation indicators,and validate its predictive value.Methods The medical records of patients with gastric diseases who visited the First Affiliated Hospital of Guangzhou Medical Univer-sity from January 2018 to January 2023 were analyzed retrospectively.According to the pathological results,the patients were divided into the gastric cancer(GC)group(n=134)and chronic non-atrophic gastritis(CNAG)group(n=298).Their routine test data such as serum and whole blood tests were collected.The statistical analysis was conducted using the R 4.2.3 software,and a model for pre-dicting the risk of GC was constructed and validated.Results A model for predicting the risk of GC was constructed successfully using the Logistic regression analysis,which included D-dimer,carcinoembryonic antigen(CEA),carbohydrate antigen 72-4(CA72-4)and hemoglobin(Hb).A visual nomogram was plotted as the final prediction model.The areas under the receiver operating characteristic(ROC)curve(AUCROC)of the model in the training and testing sets were 0.809(95%CI:0.754-0.864)and 0.808(95%CI:0.724-0.892),respectively.The sensitivity and specificity of the model were 58.5%and 93.3%,respectively,indicating that it had good pre-dictive ability.Conclusion The model for predicting the malignant risk of patients with gastric diseases constructed using routine tes-ting indicators has good accuracy and can effectively predict the risk of gastric disease transforming into gastric cancer.It helps to find early gastric cancer patients in clinical practice and take targeted prevention and intervention measures.