Effectiveness of pharmacogenomics on the response and remission of treatment-resistant depression: a metaanalysis of randomised controlled trials

Background Pharmacogenomics(PGx)is a promising tool to realise tailored drug therapy for depression.Aims To investigate the treatment efficacy of PGxfor treatment-resistant depression(TRD)compared with treatmentas usual.Methods A systematic search was conducted in PubMed,Embase,the Cochrane Library,Web of Science and PsyclNFO to identify relevant studies published from inception to 15 April 2023.Two-arm randomised controlled trials(RCTs)exploring the efficacy of PGx-guided versus unguided treatment for TRD were included.The risk of bias in the included studies was evaluated using the Cochrane risk of bias assessment tool.The overall quality of evidence was assessed using the Grading of Recommendations,Assessment,Development and Evaluation(GRADE)approach.Results Seven RCTs(n=3003)comparing PGx-guided(n=1492)and unguided(n=1511)groups were identified and analysed.PGx-guided treatment was superior to treatment as usual in response(relative risk(RR)=1.31;95%confidence interval(95%Cl):1.15 to 1.49;p<0.001)and remission(RR=1.40;95%Cl:1.09 to 1.80;p=0.009)improvements.Effect sizes for acceptability(RR=0.90;95%Cl:0.80 to 1.02;p=0.100)and side effect burden(RR=0.58;95%Cl:0.29 to 1.15;p=0.120)between the two groups were not statistically different.The overall quality of evidence was rated from'very low'(25%)to low'(75%)based on the GRADE criteria.Conclusions PGx-guided treatment has shown a small overall effect in improving the response and remission rates for patients with TRD.However,these results should be interpreted cautiously because of the few included studies and the low quality of evidence.Further high-quality clinical trials are warranted to confirm the findings.

Prediction of adolescent subjective well being: A machine learning approach

Background Subjective well-being(SWB),also known as happiness,plays an important role in evaluating both mental and physical health.Adolescents deserve specific attention because they are under a great variety of stresses and are at risk for mental disorders during adulthood.Aim The present paper aims to predict undergraduate students1 SWB by machine learning method.Methods Gradient Boosting Classifier which was an innovative yet validated machine learning approach was used to analyse data from 10518 Chinese adolescents.The online survey included 298 factors such as depression and personality.Quality control procedure was used to minimise biases due to online survey reports.We applied feature selection to achieve the balance between optimal prediction and result interpretation.Results The top 20 happiness risks and protective factors were finally brought into the predicting model.Approximately 90%individuals'SWB can be predicted correctly,and the sensitivity and specificity were about 92%and 90%,respectively.Conclusions This result identifies at-risk individuals according to new characteristics and established the foundation for adolescent prevention strategies.

The effects of repeated propofol anesthesia on spatial memory and long-term potentiation in infant rats under hypoxic conditions

Propofol is widely used as an intravenous drug for induction and maintenance in general anesthesia.Hypoxemia is a common complication during perianesthesia.We want to know the effect of propofol on spatial memory and LTP(Long-term potentiation)under hypoxic conditions.In this study,84 seven-day-old SpragueeDawley rats were randomly assigned into six groups(n Z 14)-four control groups:lipid emulsion solvent t 50%oxygen(CO),lipid emulsion solvent t room air(CA),lipid emulsion solvent t 18%oxygen(CH),and propofol t 50%oxygen(propofoleoxygen,PO);and two experiment groups:propofol t room air(propofol eair,PA),and propofol t 18%oxygen(propofolehypoxia,PH).After receiving propofol(50 mg/kg)or the same volume of intralipid intraperitoneal(5.0 ml/kg),injected once per day for seven consecutive days,the rats were exposed to 18%oxygen,50%oxygen and air,until recovery of the righting reflex.We found that the apoptotic index and activated caspase-3 increased in the PH group(P<0.05)compared with the PA group,fEPSP(field excitatory postsynaptic)potential and success induction rate of LTP reduced in all propofol groups(P<0.05).Compared with the PO group,the fEPSP and success induction rate of LTP reduced significantly in the PA and PH groups(P<0.05).Moreover,compared with CH group,the average time of escape latency was longer,and the number of platform location crossings was significantly reduced in the PH group(P<0.05).Thus,we believe that adequate oxygen is very important during propofol anesthesia.

3D ordered macro-/mesoporous Ni_(x)Co_(100-x ) alloys as high-performance bifunctional electrocatalysts for overall water splitting

Electrochemical water splitting is a facile and effective route to generate pure hydrogen and oxygen.However,the sluggish kinetics of hydrogen evolution reaction(HER) and especially oxygen evolution reaction(OER) hinder the water splitting efficiency.Meanwhile,the high-cost of noble-metal catalysts limit their actual application.It is thus highly urgent to exploit an economical and earthabundant bifunctional HER and OER electrocatalyst to simplify procedure and reduce cost.Herein,we synthesize the three-dimensionally ordered macro-/mesoporous(3 DOM/m) Ni_(x)Co_(100-x) alloys with distinctive structure and large surface area via a dual-templating technique.Among them,the3 DOM/m Ni61Co39 shows the lowest overpotentials of 121 mV and 241 mV at 10 mA/cm^(2) for HER and OER,respectively.Furthermore,when employed for water splitting,the Ni_(61)Co_(39) only requires 1.60 V to approach 10 mA/cm^(2) and presents excellent stability.These encouraging performances of the Ni_(61)Co_(39) render it a promising bifunctional catalyst for overall water splitting.

Single nucleotide polymorphism rs11191454 in arsenite methyltransferase is associated with flow in Chinese students:a genetic study on flow experience

Flow has been widely studied in the field of positive psychology.However,little is known regarding its biological mechanism.This study aimed to ascertain flow-related gene loci.We investigated the association between flow and five single nucleotide polymorphisms associated with common mental disorders among a sample of 870 healthy 1 st year students of Jining Medical University,Shandong Province,China.This study was approved by the Ethics Committee of Jining Medical University(approval number:JNMC-2016-KY-001)on June 1,2016.rs11191454 demonstrated significant statistical association with flow after adjusting for age and gender(P=0.004).The allele carriers achieved higher scores in all 4 dimensions of flow:merging of action and awareness,challenge-skill balance,sense of control,and clear goals.This biological research article indicates that rs11191454 in the arsenite methyltransferase(AS3MT)gene might be associated with flow in a Chinese Han population,and that might result from altered arsenic metabolism.