[Expression of miR-142 and its relationship with Th17/Treg imbalance in children with autoimmune thyroid disease]. / miR-142åœ¨å„¿ç«¥è‡ªèº«å ç–«æ€§ç”²çŠ¶è ºç–¾ç— ä¸­è¡¨è¾¾åŠä¸ŽTh17/Tregå¤±è¡¡å ³ç³»çš„ç ”ç©¶.

OBJECTIVES: To investigate the expression of microRNA-142 (miR-142) in children with autoimmune thyroid disease (AITD) and its relationship with the imbalance of helper T cell 17 (Th17) and regulatory T cell (Treg). METHODS: A total of 89 children hospitalized for AITD from January 2019 to December 2022 were prospectively selected as the study subjects, including 48 children with Graves' disease (GD group) and 41 children with Hashimoto's thyroiditis (HT group). Additionally, 55 healthy children undergoing physical examinations during the same period were selected as the control group. The differences in serum miR-142, antithyroglobulin antibody (TGAb), antithyroperoxidase antibody (TPOAb), Th17/Treg, and interleukin-17 (IL-17) expression were compared among the groups. RESULTS: The expression of miR-142, TPOAb, TGAb, Th17, Th17/Treg, and IL-17 in the GD group and HT group was higher than that in the control group, while Treg was lower than that in the control group (P<0.05). Pearson correlation analysis revealed that in the GD group, miR-142 was positively correlated with TPOAb, TGAb, Th17, Th17/Treg, and IL-17 (r=0.711, 0.728, 0.785, 0.716, 0.709, respectively; P<0.001) and negatively correlated with Treg (r=-0.725, P<0.001); in the HT group, miR-142 was positively correlated with TPOAb and TGAb (r=0.752, 0.717, respectively; P<0.001). CONCLUSIONS: miR-142 is highly expressed in children with AITD, and its expression may be related to the Th17/Treg imbalance in children with GD.

The role of the Patient-Generated Subjective Global Assessment (PG-SGA) and biochemical markers in predicting anemia patients with cancer.

PURPOSE: The causes of anemia and the common side effects of cancer are multifactorial. Malnutrition is one of the alleged components of the aforementioned complications. This study planned to investigate the relationship among biochemical markers, Patient-Generated Subjective Global Assessment (PG-SGA), and anemia in cancer patients. METHODS: This analysis consisted of 234 patients who were enlisted in the Department of Oncology of the First Hospital of Shanxi Medical University between December 2016 and October 2017. The groups were divided into anemic and non-anemic patients. The gathered data primarily discussed the patients' basic information, specifically the age, gender, smoking, alcohol consumption, and nutritional status based on levels of serum biochemical markers and PG-SGA scores. RESULTS: Among the participants, 31.2% of the cancer patients were diagnosed with anemia whereas, according to the scores of PG.SGA, 65.0% of patients experienced malnourishment. The anemia was significantly associated with biochemical markers, expecting a transferrin in univariable analyses. Binary logistic regression analysis between anemic cancer patients and non-anemic cancer patients suggested that high PG-SGA score (odds ratio 1.082; 95% CI 1.027-1.141) implied the risk factor for anemia, and high PG-SGA scores could potentially increase the risk of anemia. The multiple regression analysis showed that hemoglobin concentration (OR 0.575; 95% CI 0.450-0.736) and PG-SGA score (OR 1.231; 95% CI 1.013-1.496) were linked to anemia. However, total protein, albumin, prealbumin, serum iron, transferrin, and transferrin saturation lacked a strong relationship with anemia. CONCLUSION: Anemia prevailed in cancer patients, as nutritionally assessed by PG-SGA, while hemoglobin established a linkage with anemia as they could provide extra predictive information about anemia in patients diagnosed with cancer.