Study on the changes in TSH, TPO-Ab and other indicators due to Vitamin D deficiency in Pregnant Women with subclinical hypothyroidism in the first trimester

Efficacy of Vitamin-D supplementation in improving the prognosis of H-type hypertension in elderly patients

Objective

To investigate the correlation between 25-hydroxyvitamin D and H-type hypertension in elderly patients, and to observe the clinical efficacy of vitamin D supplementation in those patients.

Methods

This was a retrospective study. One hundred and twenty elderly hypertensive patients treated at The Affiliated Hospital of Hebei University from June 2022 to June 2023 were randomly divided into Group-A (n=60) with hypertension and elevated homocysteine (Hcy) levels (H-type hypertension), and Group-B(n=60) with hypertension and normal Hcy levels. Blood levels of 25-hydroxyvitamin D and 24 hours ambulatory blood pressure were assessed in both groups of patients upon admission, with the correlation analysis performed simultaneously. The therapeutic effects were compared between the two groups.

Results

Through Pearson correlation analysis, there were negative correlations of serum 25-hydroxyvitamin D levels with 24 hours SSD, 24 hours DSD, dnSBP, and nDBP(all p<0.05). After 12 weeks of treatment, the treatment group had higher 25-hydroxyvitamin D levels and lower 24 hours SBP, 24h DBP, dSBP, dDBP, nSBP, nDBP levels than those of the control group(p<0.05). After treatment, the treatment group had lower blood Hcy, IMT, TC, TG, and LDL-C levels(p<0.05), and higher HDL-C levels(p<0.05) than those of the control group.

Conclusion

Serum 25-hydroxyvitamin D levels in elderly patients with H-type hypertension have negative correlations with 24 hours SSD, 24 hours DSD, dnSBP, and nDBP. Oral vitamin D supplementation for H-type hypertensive patients exhibits significant therapeutic effects, with improvements in 24 hours ambulatory blood pressure monitoring results, blood lipid levels, IMT, and blood Hcy levels after treatment.

Effect of Vitamin-D on Glycemic Parameters and Adiponectin in gestational diabetes

Objective

To determine the effect of Vitamin-D-supplementation on glycemic parameters: glucose levels in blood, insulin, HbA1c, HOMA-IR, and adiponectin in women with gestational diabetes.

Methods

An experimental study was executed at PGMI/LGH of Lahore from June 2020 to June 2021, with 34 Vitamin-D-deficient women who had gestational diabetes (20-26 weeks). All were aged between 21-32 years, randomly and equally divided into controls and cases. Cases received 200,000 IU Vitamin-D-dose. Fasting blood was collected before as well as after treatment from each participant. Spectrophotometry and peroxidase method were used to estimate HbA1c and glucose concentrations respectively. Insulin, adiponectin, and Vitamin-D were assessed by ELISA. To verify data normality, the Shapiro-Wilk test was applied and to prove group comparison Mann-Whitney U, Wilcoxon signed-rank, and Sample-t tests were used via IBM-SPSS version-21.

Results

No difference in blood glucose was found between controls and cases before treatment (p=0.858), while post-treatment, significant reduction found in cases (p=0.019). Before treatment, no difference was noticed in insulin levels of both groups (p=0.44), however, post-treatment, a significant decline was expressed in cases (p=0.001). No difference was found in HOMA-IR between controls and cases before treatment (p=0.14) but post-treatment, significant reduction was observed in cases (p=0.001). Non-significant difference was noted in HbA1c before (p=0.664) and after (p=0.169) treatment in both groups. Non-significant upsurge in adiponectin was observed in cases before (p=0.544) and after (p=0.194) treatment.

Conclusion

Vitamin-D supplementation significantly improves glycemic control in gestational diabetic women, however, its effect on adiponectin was non-significant.

Gut microbiome characteristics of women with hypothyroidism during early pregnancy detected by 16S rRNA amplicon sequencing and shotgun metagenomic

Objective

This study aimed to explore the correlation between microbiota dysbiosis and hypothyroidism in early pregnancy by 16S rRNA amplicon sequencing combined with metagenomic sequencing.

Methods

Sixty pregnant women (30 with hypothyroidism and 30 normal controls) were recruited for 16S rRNA amplicon sequencing, and 6 patients from each group were randomly selected for metagenomic sequencing to assess the gut microbiome profile.

Results

The 16S rRNA results showed that beta-diversity in the hypothyroidism group was decreased. The relative abundances of the Prevotella and Paraprevotella genera increased in the hypothyroidism group, and Blautia predominated in the controls. The metagenomics results revealed that Prevotella_stercorea_CAG_629, Prevotella_hominis, Prevotella_sp_AM34_19LB, etc. were enriched in the hypothyroidism group at the species level. Functional analysis revealed that the pyridoxal 5'-phosphate synthase pdxT subunit module was decreased, and the short-chain fatty acid (SCFA) transporter and phospholipase/carboxylesterase modules were strongly enriched in the hypothyroidism group. Hypothyroidism patients had increased C-reactive protein (CRP), interleukin-2 (IL-2), IL-4, IL-10, and tumor necrosis factor (TNF)-α levels. The pyridoxal 5'-phosphate synthase pdxT subunit, the SCFA transporter, and the phospholipase/carboxylesterase module were associated with different Prevotella species.

Conclusion

In early pregnancy, women with hypothyroidism exhibit microbiota dysbiosis, and Prevotella may affect the metabolism of glutamate, SCFA, and phospholipases, which could be involved in the development of hypothyroidism during pregnancy.

Association between gestational blood lipids and TSH levels and pregnancy outcome of patients with subclinical hypothyroidism

Objective

To investigate the association between gestational blood lipids and thyroid stimulating hormone (TSH) levels and pregnancy outcomes of patients with subclinical hypothyroidism (SCH).

Methods

In this retrospective observational study, we analyzed the clinical data of 82 patients (case group) with gestational SCH treated in our hospital from January 2021 to January 2022 at gestational weeks 25-33 and grouped them according to whether SCH was well controlled by treatment (case Group-A: well controlled, n=55; case Group-B: poorly controlled, n=27), and the clinical data of 41 pregnant women (control group) undergoing physical examination during the same period. After comparing the blood lipids and TSH levels of the three groups, we compared their adverse pregnancy outcomes to assess the possible correlations between blood lipids and TSH levels and pregnancy outcomes.

Results

The levels of total cholesterol (TC), triglyceride (TG), low density lipoprotein cholesterol (LDL-C) and TSH in the case Group-B were significantly higher than those in the case Group-A and the control group (P<0.05). Compared with case Group-B and the control group, the incidence of premature delivery, abortion and neonatal growth restriction was higher in case Group-A (P<0.05). Among 82 patients in the case group 42 presented adverse pregnancy outcomes. The levels of TC, TG, LDL-C and TSH in mothers and infants in the adverse outcome group were significantly higher than those in the favorable outcome group (P<0.05). Our Pearson analysis results showed that the levels of TC, TG and LDL-C were positively correlated with the TSH levels and the pregnancy outcomes, and that TSH was positively correlated with pregnancy outcomes (P<0.05).

Conclusion

The levels of TC, TG, LDL-C and TSH in patients with poorly controlled SCH were increased during pregnancy, and were associated with the pregnancy outcomes and positively correlated with each other.

Predicting Elevated TSH Levels in the Physical Examination Population With a Machine Learning Model

Objective

The purpose of this study was to predict elevated TSH levels by developing an effective machine learning model based on large-scale physical examination results.

Methods

Subjects who underwent general physical examinations from January 2015 to December 2019 were enrolled in this study. A total of 21 clinical parameters were analyzed, including six demographic parameters (sex, age, etc.) and 15 laboratory parameters (thyroid peroxidase antibody (TPO-Ab), thyroglobulin antibody (TG-Ab), etc.). The risk factors for elevated TSH levels in the univariate and multivariate Logistic analyses were used to construct machine learning models. Four machine learning models were trained to predict the outcome of elevated TSH levels one year/two years after patient enrollment, including decision tree (DT), linear regression (LR), eXtreme Gradient boosting (XGBoost), and support vector machine (SVM). Feature importance was calculated in the machine learning models to show which parameter plays a vital role in predicting elevated TSH levels.

Results

A total of 12,735 individuals were enrolled in this study. Univariate and multivariate Logistic regression analyses showed that elevated TSH levels were significantly correlated with gender, FT3/FT4, total cholesterol (TC), TPO-Ab, Tg-Ab, creatinine (Cr), and triglycerides (TG). Among the four machine learning models, XGBoost performed best in the one-year task of predicting elevated TSH levels (AUC (0.87(+/- 0.03))). The most critical feature in this model was FT3/FT4, followed by TPO-Ab and other clinical parameters. In the two-year task of predicting TSH levels, none of the four models performed well.

Conclusions

In this study, we trained an effective XGBoost model for predicting elevated TSH levels one year after patient enrollment. The measurement of FT3 and FT4 could provide an early warning of elevated TSH levels to prevent relative thyroid diseases.