Beyond Symptoms

2018 ◽  
pp. 217-221
Author(s):  
S. Nassir Ghaemi

The four classic diagnostic validators of psychiatry are appraised: symptoms, course, genetics, and treatment response/biological markers. Of these, course of illness is seen as the most important and the most neglected. The non-specificity of treatment response and the inadequacy of symptoms is emphasized. If symptoms are not the primary target for drug treatment, as the Hippocratic tradition teaches, then diagnosis becomes extremely important for the practice of clinical psychopharmacology. The role of genetics is important, but it is limited to highly genetic diseases. Related to DSM-5 and its predecessors, the application of these diagnostic validators demonstrates that most DSM diagnoses are not valid.

2014 ◽  
Vol 21 (6) ◽  
pp. 756-772 ◽  
Author(s):  
Giuseppe Schillaci ◽  
Francesca Battista ◽  
Laura Settimi ◽  
Luca Schillaci ◽  
Giacomo Pucci

2020 ◽  
Vol 20 (1) ◽  
pp. 44-54 ◽  
Author(s):  
Sonali Bhakta ◽  
Toshifumi Tsukahara

Editing mutated genes is a potential way for the treatment of genetic diseases. G-to-A mutations are common in mammals and can be treated by adenosine-to-inosine (A-to-I) editing, a type of substitutional RNA editing. The molecular mechanism of A-to-I editing involves the hydrolytic deamination of adenosine to an inosine base; this reaction is mediated by RNA-specific deaminases, adenosine deaminases acting on RNA (ADARs), family protein. Here, we review recent findings regarding the application of ADARs to restoring the genetic code along with different approaches involved in the process of artificial RNA editing by ADAR. We have also addressed comparative studies of various isoforms of ADARs. Therefore, we will try to provide a detailed overview of the artificial RNA editing and the role of ADAR with a focus on the enzymatic site directed A-to-I editing.


2019 ◽  
Vol 156 (6) ◽  
pp. S-1124
Author(s):  
Clara Caenepeel ◽  
Sara Vieira-Silva ◽  
Jorge F. Vázquez-Castellanos ◽  
Bram Verstockt ◽  
Marc Ferrante ◽  
...  

Author(s):  
Domenico Albano ◽  
Francesco Dondi ◽  
Valentina Zilioli ◽  
Maria Beatrice Panarotto ◽  
Alessandro Galani ◽  
...  

Abstract Objective The baseline treatment of differentiated thyroid cancer (DTC) consists of thyroidectomy followed by postoperative risk-adapted radioiodine therapy (RAIT) when indicated. The choice of most appropriate RAI activities to administer with the aim to reach an efficient remnant ablation and reduce the risk of recurrence is yet an open issue and the detection of basal factors that may predict treatment response seems fundamental. The aim of this study was to investigate the potential role of Hashimoto thyroiditis (HT) in predicting 1-year and 5-year treatment response after RAIT and prognosis. Methods We retrospectively included 314 consecutive patients (174 low-risk and 140 intermediate-risk) who received thyroidectomy plus RAIT. One-year and 5-year disease status was evaluated according to 2015 ATA categories response based upon biochemical and structural findings. Results HT was reported histopathologically in 120 patients (38%). DTC patients with concomitant HT received a higher number of RAITs and cumulative RAI activities. Initial RAIT reached an excellent response in 63% after one year and 84% after 5 years. The rate of excellent response one year and 5-year after first RAIT was significantly lower in HT groups, compared to not HT (p < 0.001). Instead, HT did not have a prognostic role considering PFS and OS; while stimulate thyroglobulin (sTg) at ablation was significantly related to survival. Conclusions HT may affect the efficacy of RAIT in low to intermediate risk DTC, particularly reducing the successful rate of excellent response after RAIT. Instead, HT did not have a prognostic impact such as stimulated sTg.


2003 ◽  
Vol 8 (4) ◽  
pp. 252-259 ◽  
Author(s):  
Ed Day ◽  
Kaye Fisher ◽  
Jacqueline Watson ◽  
Omar Al‐Gommer ◽  
Thomas McCormick

2018 ◽  
Vol 8 ◽  
Author(s):  
Bin Lu ◽  
Xiao Bing Chen ◽  
Mei Dan Ying ◽  
Qiao Jun He ◽  
Ji Cao ◽  
...  

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