Common dermatoses in moderately pigmented skin: uncommon presentations

Several common dermatoses appear different in people of color. Most international literature, especially the reputed textbooks, are replete with photographs of skin diseases in fair-skinned patients. The orientation of Western dermatologists to common diseases in pigmented skin therefore is needed. The reverse is also true. Dermatologists who work in pigmented skin communities are known to have initial problems with fair skin. It is therefore important to have a judicious balance of entities seen in both of these skin types in major international literature, especially in textbooks. In addition, common dermatoses may appear strange and confusing particularly when they are in their advanced form. People with pigmented skin living in developing countries often present with diseases that appear greatly altered, because of various reasons. Main ones are treatment taken at home with household remedies, especially topical therapy, inappropriate treatment given by general practitioners with sparse knowledge of dermatology, and injudicious steroid use. All these factors lead to exacerbation of the disease or superimposed irritation or infection, which all contribute to a different appearance. Equally important is the delay in seeking treatment because of financial constraints.     

Nature is the best source of anti-inflammatory drugs: indexing natural products for their anti-inflammatory bioactivity

Objectives

The aim was to index natural products for less expensive preventive or curative anti-inflammatory therapeutic drugs.

Materials

A set of 441 anti-inflammatory drugs representing the active domain and 2892 natural products representing the inactive domain was used to construct a predictive model for bioactivity-indexing purposes.

Method

The model for indexing the natural products for potential anti-inflammatory activity was constructed using the iterative stochastic elimination algorithm (ISE). ISE is capable of differentiating between active and inactive anti-inflammatory molecules.

Results

By applying the prediction model to a mix set of (active/inactive) substances, we managed to capture 38% of the anti-inflammatory drugs in the top 1% of the screened set of chemicals, yielding enrichment factor of 38. Ten natural products that scored highly as potential anti-inflammatory drug candidates are disclosed. Searching the PubMed revealed that only three molecules (Moupinamide, Capsaicin, and Hypaphorine) out of the ten were tested and reported as anti-inflammatory. The other seven phytochemicals await evaluation for their anti-inflammatory activity in wet lab.

Conclusion

The proposed anti-inflammatory model can be utilized for the virtual screening of large chemical databases and for indexing natural products for potential anti-inflammatory activity.

     

Multiparametric-MRI as a comprehensive study in evaluation,characterization & local staging of urinary bladder carcinomas

Objectives

To evaluate role of multiparametric-MRI as comprehensive technique for determining local staging of UB cancer and predicting histological grading of lymphadenopathy.

Hepatitis C virus infection in systemic lupus erythematosus: a case-control study

OBJECTIVE: Viruses might be one of the elements that trigger systemic lupus erythematosus (SLE). Steroid therapy may influence the natural history of virus infections. The most frequent extrahepatic manifestations of hepatitis C virus (HCV) including arthralgia, myalgia, sicca syndrome, and antinuclear antibodies, may mimic a connective tissue disease, particularly SLE. Reports on the association between SLE and HCV infection are scarce. We investigated the association of HCV infection and SLE. METHODS: Retrospective case-control monocentric study of 19 patients with SLE and anti-HCV antibodies versus 42 randomized SLE patients without anti-HCV antibodies, matched for age and sex, coming from our cohort of 700 patients with SLE. SLE and HCV-infection features were reviewed. RESULTS: Mode of infection was blood product transfusion, drug addiction, or unknown. Prevalence of lupus clinical manifestations, antinuclear, anti-dsDNA, anti-extractable nuclear antigen antibodies, and complement levels was not different between HCV positive and negative SLE patients. Prevalence of cryoglobulin was higher in SLE patients with anti-HCV antibodies (p < 0.04), but none had a mixed cryoglobulinemia syndrome. ALT activity was increased in 11 HCV positive patients and 13 had detectable HCV RNA. Liver biopsy showed cirrhosis in 2 and mild fibrosis and activity in 5. One patient treated with interferon-alpha had a sustained virological response without SLE flare. Steroid therapy did not seem to alter HCV course. CONCLUSION: SLE in HCV positive patients shows higher prevalence of cryoglobulin without mixed cryoglobulinemia syndrome. HCV infection has moderate signs of biochemical and liver pathological severity. SLE by itself or treated with steroids does not seem to worsen HCV infection.     

BALAD and BALAD-2 predict survival of hepatocellular carcinoma patients: a North American cohort study

BackgroundThe BALAD score and BALAD-2 class derived from bilirubin, albumin, AFP, AFP-L3, and des-gamma-carboxyprothrombin (DCP) are effective in predicting mortality in HCC, but have not been validated in North America.Methods148 HCC patients from 2000 to 2015 who had all five biomarkers tested at diagnosis were included. Hazard ratios (HR) were calculated.Results75 patients died during a median follow-up of 21.9 months. 1-and 3-year survival rates were 70.8% and 47.6%. 114 (77%) had cirrhosis. The HR (95%CI) for death were 1.24 (0.42–3.67), 1.79 (0.61–5.26), 2.83 (0.95–8.38), and 7.19 (2.26–22.91) for BALAD scores 1, 2, 3, and 4 vs. BALAD 0. The HR (95%CI) for death were 1.25 (0.65–2.40), 1.75 (0.94–3.23), and 6.20 (3.29–11.68) for BALAD-2 classes 2, 3, and 4 vs. BALAD-2 class 1. A multivariate model incorporating maximal tumor diameter, tumor number, neutrophil-lymphocyte ratio, and BALAD had HR of 1.43 (1.14–1.81) per increase of 1 BALAD score. A similar model with BALAD-2 had HR of 1.50 (1.18–1.90) per increase of 1 BALAD-2 class.ConclusionBALAD models at diagnosis can predict the survival of HCC patients in North America. AFP, AFP-L3, and DCP reflect tumor progression and metastasis of HCC and distinguish the BALAD model from other predictive models.