Smoking exposure and Parkinson's disease: A UK Brain Bank pathology-validated case-control study.

INTRODUCTION: Epidemiological studies have consistently shown an inverse association between cigarette smoking and Parkinson's disease. Literature indicates that both current and former smokers have a reduced risk of developing PD compared to non-smokers. If smoking protects against Parkinson's disease risk or, conversely, smoking habit is abated due to the disease itself, according to the reverse causation, is still an unsolved question. METHODS: 118 patients from the UK Brain Bank with an alive clinical diagnosis of Parkinson's disease were enrolled. Post-mortem validation served as the gold standard for diagnosis to divide the population into true positive and false positive groups. Patient charts were reviewed to extract smoking exposure information and statistical analyses were conducted to determine the odds associated with smoking in the two diagnostic groups. RESULTS: Among alive clinically diagnosed patients with Parkinson's disease, 53 % had no smoking exposure. In the True Positive group, 58 % had no smoking exposure, while this proportion was lower in the False Positive group at 46 %. The Odds Ratio for the association between smoking exposure and the two groups was 0.63 (95 % CI: 0.32-1.37). The Chi-square test yielded a p-value of 0.2804. CONCLUSIONS: Our findings emphasize the role of smoking exposure in Parkinson's diagnosis. The results indicate that the observed association is not specific to idiopathic Parkinson's disease but rather a broader phenomenon encompassing various parkinsonian disorders. This suggests a potential common neuroprotective effect of smoking, shared risk factors, or supports the reverse causation hypothesis where parkinsonian symptoms reduce smoking exposure.

Increased age and male sex are independently associated with higher frequency of blood-cerebrospinal fluid barrier dysfunction using the albumin quotient.

BACKGROUND: The cerebrospinal fluid (CSF)/serum quotient of albumin (QAlb) is the most used biomarker for the evaluation of blood-cerebrospinal fluid barrier (B-CSF-B) permeability. For years QAlb was considered only as an age-related parameter but recently it has also been associated to sex. The aim of the present study was to explore the impact of sex in the determination of B-CSF-B dysfunction. METHODS: The analysis was retrospectively conducted on subjects consecutively admitted to the neurological ward. CSF and serum albumin levels were measured by immunonephelometry and pathological QAlb thresholds were considered: 6.5 under 40 years, 8.0 in the age 40-60 and 9.0 over 60 years. RESULTS: 1209 subjects were included in the study. 718 females and 491 males (age: 15-88 years): 24.6% of patients had a diagnosis of multiple sclerosis, 23.2% suffered from other inflammatory neurological diseases, 24.6% were affected by non-inflammatory neurological diseases, and for 27.6% of patients the final neurological diagnosis could not be traced. Dysfunctional B-CSF-B was detected more frequently (44 vs. 20.1%, p < 0.0001) and median QAlb value were higher (7.18 vs. 4.87, p < 0.0001) in males than in females in the overall study population and in all disease subgroups. QAlb and age were positively correlated both in female (p < 0.0001) and male (p < 0.0001) patients, however the slopes of the two regression lines were not significantly different (p = 0.7149), while the difference between the elevations was extremely significant (p < 0.0001) with a gap of 2.2 units between the two sexes. Finally, in a multivariable linear regression analysis increased age and male sex were independently associated with higher QAlb in the overall study population (both p < 0.001) and after stratification by age and disease group. CONCLUSIONS: Accordingly, identification and validation of sex-targeted QAlb thresholds should be considered as a novel tool in an effort to achieve more precision in the medical approach.

Quantitative real-time polymerase chain reaction detection of lymph node lung cancer micrometastasis using carcinoembryonic antigen marker.

STUDY OBJECTIVES: The survival of patients with surgically resected stage I non-small cell lung cancer (NSCLC) is not optimal, probably because of unsuspected systemic occult tumor dissemination. The current applied technologies and methods for scanning the body and examining lymph nodes for tumor cells have broadly recognized limitations. Several studies have reported that it is possible to detect occult lymph node metastases (micrometastases) using more sensitive methods such as immunohistochemistry or molecular technology. The aim of our study was to evaluate the utility of quantitative real-time reverse-transcriptase polymerase chain reaction (RT-PCR) for carcinoembryonic antigen (CEA) messenger RNA (mRNA) for detection of lymph node micrometastases and its impact on disease-free interval. METHODS: Quantitative real-time RT-PCR for CEA mRNA was performed on primary lung tumors and regional lymph nodes from 44 surgically resected NSCLC patients classified as clinical stage I. Fourteen lymph nodes from five patients without malignancy were used as controls. The end point of clinical analysis was cancer recurrence. Average follow-up was 22.5 months. RESULTS: CEA mRNA was detected in all but four lymph nodes used as controls. All primary tumors were positive for CEA mRNA. Of 261 lymph nodes analyzed, 35 lymph nodes (13.4%) showed CEA mRNA levels higher than those detected in control lymph nodes and were considered positive for micrometastasis. Survival analysis by micrometastases showed less cancer recurrences in patients with lymph nodes negative for CEA mRNA (log rank, 5.3; p = 0.021). Among tumor type, tumor grading, age, sex, and molecularly detected lymph node micrometastases, the most powerful predictor of cancer recurrences was the presence of micrometastases (Cox proportional hazard, 3.3; p = 0.027). CONCLUSION: Quantitative real-time RT-PCR for CEA mRNA can be applied for detection of micrometastases in lymph nodes. This technique may be an appropriate tool in predicting cancer recurrences, and further studies are warranted to determine the most useful clinical applications.