Thalidomide for managing cancer cachexia [review paper]

Cancer cachexia is a multidimensional syndrome characterised by wasting, loss of weight, loss of appetite, metabolic alterations, fatigue and reduced performance status. A significant number of patients with advanced cancer develop cachexia before death. There is no identified optimum treatment for cancer cachexia. While the exact mechanism of the action of thalidomide is unclear, it is known to have immunomodulatory and anti-inflammatory properties, which are thought to help reduce the weight loss associated with cachexia. Preliminary studies of thalidomide have demonstrated encouraging results. This review aimed to (1) evaluate the effectiveness of thalidomide, and (2) identify and assess adverse effects from thalidomide for cancer cachexia. Electronic searches were undertaken in CENTRAL, MEDLINE, EMBASE, Web of Science and CINAHL (from inception to April 2011). Reference lists from reviewed articles, trial registers, relevant conference documents and thalidomide manufacturers identified additional literature. This review included randomised controlled trials (RCTs) and non-RCTs. Participants were adults diagnosed with advanced or incurable cancer and weight loss or a clinical diagnosis of cachexia who were administered thalidomide. All titles and abstracts retrieved by electronic searching were downloaded to a reference management database. Duplicates were removed and the remaining citations were read by two review authors and checked for eligibility. Studies that were deemed ineligible for inclusion had clear reasons for exclusion documented. Data were extracted independently by two review authors for all eligible studies. While a meta-analysis was planned for this review, this was not possible due to the small number of studies included and high heterogeneity among them. Thus a narrative synthesis of the findings is presented. The literature search revealed a dearth of large, well conducted trials in this area. This has hindered the review authors' ability to make an informed decision about thalidomide for the management of cancer cachexia. At present, there is insufficient evidence to refute or support the use of thalidomide for the management of cachexia in advanced cancer patients. The review authors cannot confirm or refute previous literature on the use of thalidomide for patients with advanced cancer who have cachexia and there is inadequate evidence to recommend it for clinical practice. Additional, well conducted, large RCTs are needed to test thalidomide both singularly and in combination with other treatment modalities to ascertain its true benefit, if any, for this population. Furthermore, one study (out of the three reviewed) highlighted that thalidomide was poorly tolerated and its use needs to be explored further in light of the frailty of this population

Stability studies of the metabolites of nitrofuran antibiotics during storage and cooking

Nitrofuran antibiotics cannot be used in food production within the European Union because of their potential health risks to consumers. The recent discovery of their widespread use in global food industries and the finding of semicarbazide in baby food as a result of packaging contamination have focused attention on the toxicity and stability of these drugs and their metabolites. The stability of the nitrofuran marker residues 3-amino-2-oxazolidinone (AOZ), 3-amino-5-morpholinomethyl-2-oxazolidone (AMOZ), 1-aminohydantoin (AHD) and semicarbazide (SEM) were tested. Muscle and liver of nitrofuran treated pigs were cooked by frying, grilling, roasting and microwaving. Between 67 and 100% of the residues remained after cooking, demonstrating that these metabolites are largely resistant to conventional cooking techniques and will continue to pose a health risk. The concentration of metabolites in pig muscle and liver did not drop significantly during 8 months of storage at -20 degrees C. Metabolite stock and working standard solutions in methanol were also stable for 10 months at 4 degrees C. Only a 10 ng ml(-1) solution of SEM showed a small drop in concentration over this extended storage period.

Stability during cooking of anthelmintic veterinary drug residues in beef

Anthelmintic drugs are widely used for treatment of parasitic worms in livestock, but little is known about the stability of their residues in food under conventional cooking conditions. As part of the European Commissionfunded research project ProSafeBeef, cattle were medicated with commercially available anthelmintic preparations, comprising 11 active ingredients (corresponding to 21 marker residues). Incurred meat and liver were cooked by roasting (40 min at 190°C) or shallow frying (muscle 8-12 min, liver 14-19 min) in a domestic kitchen. Raw and cooked tissues and expressed juices were analysed using a novel multi-residue dispersive solid-phase extraction method (QuEChERS) coupled with ultra-performance liquid chromatography-tandem mass spectrometry. After correction for sample weight changes during cooking, no major losses were observed for residues of oxyclozanide, clorsulon, closantel, ivermectin, albendazole, mebendazole or fenbendazole. However, significant losses were observed for nitroxynil (78% in fried muscle, 96% in roast muscle), levamisole (11% in fried muscle, 42% in fried liver), rafoxanide (17% in fried muscle, 18% in roast muscle) and triclabendazole (23% in fried liver, 47% in roast muscle). Migration of residues from muscle into expressed cooking juices varied between drugs, constituting 0% to 17% (levamisole) of total residues remaining after cooking. With the exception of nitroxynil, residues of anthelmintic drugs were generally resistant to degradation during roasting and shallow frying. Conventional cooking cannot, therefore, be considered a safeguard against ingestion of residues of anthelmintic veterinary drugs in beef. © 2011 Taylor & Francis.

Cooking rice in a high water to rice ratio reduces inorganic arsenic content

Total arsenic and arsenic speciation was performed on different rice types (basmati, long-grain, polished ([white] and wholegrain [brown]) that had undergone various forms of cooking. The effect of rinse washing, low volume (2.5 : 1 water : rice) and high volume (6 : 1 water : rice) cooking, as well as steaming, were investigated. Rinse washing was effective at removing circa. 10% of the total and inorganic arsenic from basmati rice, but was less effective for other rice types. While steaming reduced total and inorganic arsenic rice content, it did not do so consistently across all rice types investigated. Low volume water cooking did not remove arsenic. High volume water : rice cooking did effectively remove both total and inorganic arsenic for the long-grain and basmati rice (parboiled was not investigated in high volume cooking water experiment), by 35% and 45% for total and inorganic arsenic content, respectively, compared to uncooked (raw) rice. To reduce arsenic content of cooked rice, specifically the inorganic component, rinse washing and high volume of cooking water are effective.

Common-sense reasoning for human action recognition

This paper presents a novel method that leverages reasoning capabilities in a computer vision system dedicated to human action recognition. The proposed methodology is decomposed into two stages. First, a machine learning based algorithm - known as bag of words - gives a first estimate of action classification from video sequences, by performing an image feature analysis. Those results are afterward passed to a common-sense reasoning system, which analyses, selects and corrects the initial estimation yielded by the machine learning algorithm. This second stage resorts to the knowledge implicit in the rationality that motivates human behaviour. Experiments are performed in realistic conditions, where poor recognition rates by the machine learning techniques are significantly improved by the second stage in which common-sense knowledge and reasoning capabilities have been leveraged. This demonstrates the value of integrating common-sense capabilities into a computer vision pipeline. © 2012 Elsevier B.V. All rights reserved.