demeclocycline and Drug-Related-Side-Effects-and-Adverse-Reactions

The etiology, pathophysiology, clinical features, diagnosis, and medical treatment of the syndrome of inappropriate secretion of antidiuretic hormone (SIADH) are reviewed. SIADH is a common cause of hyponatremia in hospitalized patients. Increased concentrations of antidiuretic hormone (ADH) result in retention of free water, increased excretion of sodium, and hyponatremia. Symptoms generally occur only when hyponatremia is severe (less than or equal to 125 meq/L) and may include anorexia, vomiting, and confusion, followed by seizures, coma, and death. SIADH may result from a variety of diseases, as well as from the use of drugs such as chlorpropamide, carbamazepine, diuretics, and some antineoplastic agents. Diagnosis of SIADH is confirmed by demonstration of a high urine osmolality with a low plasma osmolality, in the absence of diuretic use. Immediate treatment of the symptomatic patient with SIADH includes intravenous furosemide and 3% sodium chloride injection to produce a negative free-water balance. If the underlying cause of SIADH cannot be corrected, the treatment of choice for chronic SIADH is fluid restriction. If this is not tolerated by the patient, demeclocycline can be used to induce a negative free-water balance. Urea, lithium, phenytoin, and loop diuretics have been reported to be effective, but there are few data to support their use. Future research into the treatment of SIADH must be directed at developing effective antagonists of ADH. Treatment of SIADH consists of elimination of underlying causes and restriction of fluid intake; if these measures are unsuccessful or poorly tolerated, long-term drug therapy may be indicated.

Topics: Demeclocycline; Drug-Related Side Effects and Adverse Reactions; Humans; Hyponatremia; Inappropriate ADH Syndrome; Lithium; Urea

Drug-induced liver injury (DILI) is a significant concern in drug development due to the poor concordance between preclinical and clinical findings of liver toxicity. We hypothesized that the DILI types (hepatotoxic side effects) seen in the clinic can be translated into the development of predictive in silico models for use in the drug discovery phase. We identified 13 hepatotoxic side effects with high accuracy for classifying marketed drugs for their DILI potential. We then developed in silico predictive models for each of these 13 side effects, which were further combined to construct a DILI prediction system (DILIps). The DILIps yielded 60-70% prediction accuracy for three independent validation sets. To enhance the confidence for identification of drugs that cause severe DILI in humans, the "Rule of Three" was developed in DILIps by using a consensus strategy based on 13 models. This gave high positive predictive value (91%) when applied to an external dataset containing 206 drugs from three independent literature datasets. Using the DILIps, we screened all the drugs in DrugBank and investigated their DILI potential in terms of protein targets and therapeutic categories through network modeling. We demonstrated that two therapeutic categories, anti-infectives for systemic use and musculoskeletal system drugs, were enriched for DILI, which is consistent with current knowledge. We also identified protein targets and pathways that are related to drugs that cause DILI by using pathway analysis and co-occurrence text mining. While marketed drugs were the focus of this study, the DILIps has a potential as an evaluation tool to screen and prioritize new drug candidates or chemicals, such as environmental chemicals, to avoid those that might cause liver toxicity. We expect that the methodology can be also applied to other drug safety endpoints, such as renal or cardiovascular toxicity.

Topics: Animals; Anti-Infective Agents; Anti-Inflammatory Agents; Chemical and Drug Induced Liver Injury; Databases, Factual; Drug-Related Side Effects and Adverse Reactions; Humans; Liver; Models, Biological; Predictive Value of Tests