The effects of green tea tablets and metformin on ovulation and menstrual cycle regularity in women with polycystic ovary syndrome.

Polycystic ovary syndrome is the most common cause of oligo-ovulation and anovulation among women of reproductive age, contributing to infertility. This study aimed to compare the effects of green tea tablets and metformin on ovulation, menstrual cycle regularity, and antioxidant biomarkers in women with polycystic ovary syndrome (PCOS). In this clinical trial study, 94 women with PCOS were randomly assigned to three groups: green tea (n = 33), metformin (n = 29), and control (n = 32). Menstrual status and oxidative stress parameters, including total antioxidant capacity, thiol, and lipid peroxidation, were compared before and 3 months after the intervention among all three groups. Data analysis was conducted using SPSS software version 22 and employing the analysis of variance and paired t-tests. Following the intervention, the mean menstrual cycle duration in the green tea, metformin, and control groups was 32.22 ± 12.78, 48.72 ± 37.06, and 48.53 ± 31.04 days, respectively (P = 0.040). There was no statistically significant difference between the three groups in terms of biochemical, hormonal, and antioxidant indices before and after the intervention (P > 0.05). The intake of green tea tablets was associated with better outcomes in regulating the menstrual cycle in women with PCOS.

Proteomic and genomic biomarkers for Non-Small Cell Lung Cancer: Peroxiredoxin, Haptoglobin, and Alpha-1 antitrypsin.

BACKGROUND: The development of lung cancer is a multifactorial process that involves the environmental and genetic factors. The mortality rate of this cancer is higher than breast, colorectal, and prostate cancers. In this study, we try to analyze the proteome of patients with Non-Small Cell Lung Cancer (NSCLC) and compare it with the healthy samples. METHODS: This study has compared 30 lung tissue samples from patients with NSCLC and 30 healthy samples using proteomics and RT-PCR. Hence, tissue samples were obtained from the surgical ward in sterile conditions, and then, protein extraction applied to them. At the next stage, two-dimensional electrophoresis and mass spectrometry LCMS/MS were performed for protein isolation and sequencing, respectively. RESULTS: The proteome analysis identified more than 40 differences in proteomic pattern of normal lung tissues compared to lung tissues with NSCLC. Peroxiredoxin, Haptoglobin, and Alpha-1 antitrypsin proteins were identified. Molecularly, it has also been shown that the two main proteins of Peroxiredoxin-2 and Alpha-1 antitrypsin were upregulated, and the expression of Haptoglobin protein was downregulated in cancer tissue. CONCLUSION: The results of this study showed that there are some differences in term of protein content between the normal and cancerous lung tissues. Further studies are needed to evaluate these proteins that investigate whether these proteins can candidate as biomarkers to use in the early diagnosis of patients with NSCLC.

A comparison of methods of self-harm without intent to die: Cutting versus self-poisoning.

BACKGROUND: Non-suicidal self-injury (NSSI) in DSM-5 Section 3 is restricted to damaging the skin, while self-poisoning is not considered NSSI even if there was no suicidal intent. The objective of this study was to compare correlates of people who self-cut and those who self-poison without suicidal intent, to determine whether people who harm themselves by cutting are a distinct subgroup. METHODS: There were 12,435 presentations to adult psychiatric services in the emergency departments of tertiary care hospitals in Manitoba between January 2009 and December 2013. Chart reviews were conducted for all presentations with self-harm without suicidal intent (n=219; 1.8% of the total sample). People presenting with cutting (n=47) were compared to those presenting with self-poisoning (n=116). RESULTS: There were no differences between the groups on most demographic measures, except for age, where the people who cut were younger. Mental disorders were common in both groups. 31.9% of the cutting group had an alcohol use disorder, as did 25% of the self-poisoning group. Cluster B personality traits/disorder was diagnosed more frequently in the cutting group (51.1%) than the self-poisoning group (37.9%), but this difference was non-significant. Previous non-suicidal self-harm was more common among people cutting. LIMITATIONS: We were unable to draw conclusions about the risk of suicide. CONCLUSIONS: People who engage in non-suicidal self-harm have high rates of mental disorders. The method that people use to harm themselves does not appear to distinguish these groups; they appear to be similar on most demographic and diagnostic correlates. Further study is required to determine the validity of NSSI, including studies that compare those who self-harm with and without suicidal intent.

Possible association between human blood types and opioid addiction.

Drug addiction is a complex disorder that has been shown to have a genetic component like several other diseases. Finding any factor that is associated with higher risk of addiction tendency may influence the strategies of prevention and treatment of drug abuse and also provide an avenue of further research in genetics, immunology, and other related fields. This case-control study aimed at finding the frequency rate of ABO blood groups and Rhesus (Rh) factor among opioid dependents. Therefore, 249 opioid dependents referred to the Drug Quit center at Bam, Iran (case group) were compared with 360 blood donors referred to the Blood Transfusion Center (control group) in regard to the frequency of blood groups and Rh factor. The two groups were matched for demographic features. The odds ratio for AB blood group in addicts was 3.98 compared to non-addicts (p < .001) and the odds ratio of negative Rh in addicts compared to non-addicts was 4.27 (p < .001). According to the findings, in this population the frequency of negative Rh and AB blood group were significantly less than the predictive values. The relationship between opioid use and blood group type requires a cohort study eliminating all extraneous factors in order to be proved.