KRAS and MT-CO1 genes in colorectal cancer: a molecular investigation.

Colorectal cancer (CRC) is the third leading cause of cancer-related deaths worldwide. The tumor suppressor gene MT-CO1, and Kristen Rat Sarcoma Virus (KRAS), an oncogene are primarily responsible for controlling cell apoptosis, cell cycle arrest, and cell proliferation, and any irregularities in these genes could lead to cancer. This study aims to examine the expression of KRAS and MT-CO1 in CRC biopsy specimens and investigate their relationship with one another in CRC patients residing in the Erbil city of Kurdistan Region, Iraq. The study involved categorizing 42 sets of colorectal cancer tissues and their corresponding controls based on their types and patients' clinical characteristics. The expression of KRAS and MT-CO1 in the samples was assessed using Reverse Transcriptase-Polymerase Chain Reaction (RT-PCR), with statistical significance set at p<0.05. The expression of KRAS was found to be significantly higher in CRC compared to the control (n=42, p=0.0001). On the other hand, the expression of MT-CO1 did not exhibit significant differences compared to the control group with a p-value of 0.12. Furthermore, the Chi-square and correlation analysis results depicted that MT-CO1 expression negatively correlates with KRAS expression (p= 0.0001, r= -0.047) in CRC tissues. In conclusion, the variation in the expression of KRAS and MT-CO1, and their correlations could potentially serve as a good indicator in the detection and prognosis of CRC, which might lead to better translational research on the same. However, for a better understanding of the underlying mechanisms, further analysis is required.

Vaginal Microbiota Profile in first-trimester miscarriages cases.

Due to its rising prevalence, first-trimester miscarriage is getting more attention. Abortion etiology and pathology, especially in non-pathological cases, are unknown. In this study, 435 vaginal swabs were collected from aborted women in Maternity Teaching Hospitals in Erbil and Shahid Dr. Khalid Hospital in Koya. We characterized the vaginal microbiota diversity and composition in first-trimester abortion and investigated the association between bacterial vaginosis and abortion before 12 weeks. Cultural, morphological, and biochemical characteristics for each bacterial genus were discovered, and VITEK-2 system was used to identify isolated bacteria. Samples from each type of bacteria were selected for sequencing utilizing 16 rRNA genes examining V4-V8 region for bacterial profiles. Bacterial vaginitis was found in 412 (94.7%) first-trimester miscarriages. Six Gram-positive and four Gram-negative bacteria were found in these 412 samples. Microorganism distribution varied Gram-positive bacteria Staphylococcus aureus (86) 20.87%, Enterococcus faecalis (31) 7.52%, Gardnerella vaginalis (24) 5.83%, Streptococcus agalactia (21) 5.1%, Lactobacillus equicursoris (14) 3.4% and Staphylococcus haemolyticus (12) 2.91%. Gram-negative bacteria including E. coli (107) 25.97%, Klebsiella pneumonia (76) 18.45%, Pseudomonas aeruginosa (29) 7.04% and Proteus mirabilis (12) 2.91%. Staphylococcus aureus had the highest rate of isolation at (86) 20.87%, while Lactobacillus equicursoris had the lowest rate at (14) 3.4%. Overall, the rate of isolation for Gram-negative bacteria (224) was 54.4%, while the rate for Gram-positive bacteria (188) was 45.6%.

Hormonal Predictors of Abnormal Luteal Phases in Normally Cycling Women.

Objective: Explore potential relationships between preovulatory, periovulatory, and luteal-phase characteristics in normally cycling women. Design: Observational study. Setting: Eight European natural family planning clinics. Patient(s): Ninety-nine women contributing 266 menstrual cycles. Intervention(s): The participants collected first morning urine samples that were analyzed for estrone-3 glucuronide (E1G), pregnanediol-3- alpha-glucuronide (PDG), follicle stimulating hormone (FSH), and luteinizing hormone (LH). The participants underwent serial ovarian ultrasound examinations. Main Outcome Measure(s): Four outcome measures were analyzed: short luteal phase, low mid-luteal phase PDG level (mPDG), normal then low luteal PDG level, low then normal luteal PDG level. Results: A long preovulatory phase was a predictor of short luteal phase, with or without adjustment for other variables. A high periovulatory PDG level was a predictor for short luteal phase as well as normal then low luteal PDG level. A low periovulatory PDG level predicted low mPDG and low then normal luteal PDG level, with or without adjustment for other variables. A small maximum follicle predicted normal then low luteal PDG level, with or without adjustment for other variables. The relationship between small maximum follicle size and short luteal phase or small maximum follicle size and low mPDG was no longer present when the regression was adjusted for certain characteristics. A younger age at menarche and a high body mass index were both predictors of low mPDG. Conclusion: Luteal phase abnormalities exist over a spectrum where some ovulation disorders may exist as deviations from the normal ovulatory process.This study confirms the negative impact of a small follicle size on the quality of the luteal phase. The occurrence of normal then low luteal PDG level is confirmed as a potential sign of luteal phase abnormality.

Characterization of hormonal profiles during the luteal phase in regularly menstruating women.

OBJECTIVE: To characterize the variability of hormonal profiles during the luteal phase in normal cycles. DESIGN: Observational study. SETTING: Not applicable. PATIENT(S): Ninety-nine women contributing 266 menstrual cycles. INTERVENTION(S): The women collected first morning urine samples that were analyzed for estrone-3-glucuronide, pregnanediol-3-alpha-glucuronide (PDG), FSH, and LH. The women had serum P tests (twice per cycle) and underwent ultrasonography to identify the day of ovulation. MAIN OUTCOME MEASURE(S): The luteal phase was divided into three parts: the early luteal phase with increasing PDG (luteinization), the midluteal phase with PDG ≥10 µg/mg Cr (progestation), and the late luteal phase (luteolysis) when PDG fell below 10 µg/mg Cr. RESULT(S): Long luteal phases begin with long luteinization processes. The early luteal phase is marked by low PDG and high LH levels. Long luteinization phases were correlated with low E1G and low PDG levels at day 3. The length of the early luteal phase is highly variable between cycles of the same woman. The duration and hormonal levels during the rest of the luteal phase were less correlated with other characteristics of the cycle. CONCLUSION(S): The study showed the presence of a prolonged pituitary activity during the luteinization process, which seems to be modulated by an interaction between P and LH. This supports a luteal phase model with three distinct processes: the first is a modulated luteinization process, whereas the second and the third are relatively less modulated processes of progestation and luteolysis.