Background::Human immunodeficiency virus (HIV)/acquired immunodeficiency syndrome (AIDS) can profoundly affect the mental health of the people living with HIV (PLWH), with higher rates of anxiety, depression, and sleep disturbances. The disparities in neuropsychological problems evaluated by physicians and self-assessed by patients are still unknown.Methods::A total of 5000 PLWH and 500 physicians from 167 hospitals were enrolled in this cross-sectional study from September 2022 to February 2023. 4-Item Patient Health Questionnaire (PHQ-4) was used for the evaluation of depressive issues and anxiety issues by PLWH. Each physician assessed 10 PLWH under their care for the presence of depressive or anxiety issues. The primary outcomes of this study are the concordance rates on the depressive issues and anxiety issues evaluation between physicians and PLWH. The Cohen’s kappa test was used to assess the agreement between physicians and PLWH.Results::The concordance rate for the evaluation of depressive issues is 73.84% (95% confidence interval [CI]: 72.60-75.04%), and it is significantly different from the expected rate of 80% ( P <0.001). Similarly, the concordance rate for the evaluation of anxiety issues is 71.74% (95% CI: 70.47-72.97%), which is significantly different from the expected rate of 80% as per the null hypothesis ( P <0.001). The overestimation rate by physicians on depressive issues is 12.20% (95% CI: 11.32-13.14%), and for anxiety issues is 12.76% (95% CI: 11.86-13.71%). The mismatch rate for depressive issues is 26.16% (95% CI: 24.96-27.40%), and for anxiety issues is 28.26% (95% CI: 27.02-29.53%). The underestimation rate by physicians on depressive issues is 13.96% (95% CI: 13.03-14.95%), and for anxiety issues is 15.50% (95% CI: 14.52-16.53%). For the treatment regiments, PLWH sustained on innovative treatment regimen (IR) related to a lower prevalence of depressive issues (odds ratio [OR] = 0.71, 95% CI: 0.59-0.87, P = 0.003) and a lower prevalence of anxiety issues (OR = 0.63, 95% CI: 0.52-0.76, P <0.001). PLWH switch from conventional treatment regimen (CR) to IR also related to a lower prevalence of depressive issues (OR = 0.79, 95% CI: 0.64-0.98) and a lower prevalence of anxiety issues (OR = 0.81, 95% CI: 0.67-0.99). Conclusion::Nearly one in three PLWH had their condition misjudged by their physicians. The findings underscore the need for improved communication and standardized assessment protocols in the care of PLWH, especially during the acute phase of HIV infection.

Objective To establish the energy expenditure(EE)prediction models of health Qigong Wuqinxi based on heart rate combined with accelerometer counts in different body parts,so to provide a reference for monitoring EE of Wuqinxi.Methods Seventy-four healthy college students aged 18-30 were selected as the research objects.They were divided into a skilled group of 39(21 males and 18 females)and a primary group of 35(17 males and 18 females)according to their level of practice,with 55 in the model group and 19 in the validation group.When performing a set of Wuqinxi,all subjects were recorded heart rate(HR),accelerometer counts[the average counts of X-axis,Y-axis,Z-axis and vector magnitude(VM)],and EE-related indicators by wearing the Polar heart rate moni-tor,ActiGraph-GT3X+accelerometers(9 parts:waist,both arms,both wrists,both thighs,and both ankles)and CORTEX Meta Max3B-R2 portable indirect calorimeter.Based on the accurate EE mea-sured by the gas metabolism meter,linear regression models of only HR,only accelerometer counts,or HR combined accelerometer counts were established,and their accuracy was analyzed and com-pared.Results The EE of Wuqinxi was significantly correlated with gender,height,weight,muscle mass,HR-related indicators,and accelerometer counts in different parts(X-axis counts of the waist,VM values of the left thigh and counts of the X-axis and Y-axis,VM values of the right thigh and the Y-axis,Z-axis count value,left ankle VM value and Y-axis count value,right ankle VM value and Y-axis,Z-axis count value)(P<0.05).Moreover,the adjusted R2 of the prediction model of only HR,only accelerometer counts,and the both were 0.582,0.508 and 0.678,respectively(P<0.05).The correlation between the predicted and measured values ranged between 0.706 and 0.817.Accord-ing to the Bland-Altman analysis,for each model,all except one error value fell outside the 95%confidence interval.That is,all models had an excellent fitting effect and high accuracy.Among them,the combined model was of the best prediction effect:EE(kcal)=-20.089+0.279×body weight(kg)+0.243×ΔHR(exercise HR-quiet HR,bpm)+0.001×Right thigh Y-axis count value+0.181×exer-cise HR(bpm)-4.202×gender(male=0,female=1).Conclusion The EE prediction model of Wuqinxi es-tablished on HR combined with accelerometer counts has the best effect and can calculate the EE more accurately.

Diabetes mellitus is a metabolic disorder characterized by hyperglycemia and has become a com-mon chronic disease worldwide.Mitochondria play key roles in energy production,signal transduction and apoptosis.Mi-tochondrial dysfunction is an important factor that promotes the development of diabetes and its complications.Maintaining mitochondrial function is expected to have a therapeutic effect on diabetes and its complications.Mitochondria can be transferred between cells,replacing dysfunctional mitochondria with exogenous healthy mitochondria and thereby reversing cell damage.Mitochondrial transfer through actin-based tunnel nanotubes,extracellular vesicles,connexins,cell fusion and extrusion has been shown to restore the bioenergetics of damaged mammalian cells.In addition,mitochondrial trans-plantation,which is an innovative strategy to treat mitochondrial diseases by increasing and replacing mitochondria,has at-tracted increasing attention.This article focuses on improving mitochondrial function in damaged cells as an entry point for the treatment of diabetes and its complications,focusing on the role of mitochondrial transfer among cells in diabetes and its complications.

Objective: The etiology of schizophrenia is unknown and is associated with abnormal spontaneous brain activity. There are no consistent results regarding the change in spontaneous brain activity of people with schizophrenia. In this study, we determined the specific changes in the amplitude of low-frequency fluctuation/fractional amplitude of low-frequency fluctuation (ALFF/fALFF) and regional homogeneity (ReHo) in patients with drug-naïve first-episode schizophrenia (Dn-FES). Methods: A comprehensive search of databases such as PubMed, Web of Science, and Embase was conducted to find articles on resting-state functional magnetic resonance imaging using ALFF/fALFF and ReHo in schizophrenia patients compared to healthy controls (HCs) and then, anatomical/activation likelihood estimation was performed. Results: Eighteen eligible studies were included in this meta-analysis. Compared to the spontaneous brain activity of HCs, we found changes in spontaneous brain activity in Dn-FES based on these two methods, mainly including the frontal lobe, putamen, lateral globus pallidus, insula, cerebellum, and posterior cingulate cortex. Conclusion We found that widespread abnormalities of spontaneous brain activity occur in the early stages of the onset of schizophrenia and may provide a reference for the early intervention of schizophrenia.

Objective: Resting state functional magnetic resonance imaging (rsfMRI) provides a lot of evidence for local abnormal brain activity in schizophrenia, but the results are not consistent. Our aim is to find out the consistent abnormal brain regions of the patients with schizophrenia by using regional homogeneity (ReHo), and indirectly understand the degree of brain damage of the patients with drug-naive first episode schizophrenia (Dn-FES) and chronic schizophrenia. Methods: We performed the experiment by activation likelihood estimation (ALE) software to analysis the differences between people with schizophrenia group (all schizophrenia group and chronic schizophrenia group) and healthy controls. Results: Thirteen functional imaging studies were included in quantitative meta-analysis. All schizophrenia group showed decreased ReHo in bilateral precentral gyrus (PreCG) and left middle occipital gyrus (MOG), and increased ReHo in bilateral superior frontal gyrus (SFG) and right insula. Chronic schizophrenia group showed decreased ReHo in bilateral MOG, right fusiform gyrus, left PreCG, left cerebellum, right precuneus, left medial frontal gyrus and left anterior cingulate cortex (ACC). No significant increased brain areas were found in patients with chronic schizophrenia. Conclusion Our findings suggest that patients with chronic schizophrenia have more extensive brain damage than FES, which may contribute to our understanding of the progressive pathophysiology of schizophrenia.

A highly sensitive and selective method was developed for both UV-vis spectrophotometric and fluo-rimetric determination of organophosphorus pesticides(OPs).This method used silver nanoparticles(AgNPs)modified with graphitic carbon nitride(g-C3N4).The AgNPs reduced the fluorescence intensity of g-C3N4.Acetylthiocholine(ATCh)could be catalytically hydrolyzed by acetylcholinesterase(AChE)to form thiocholine,which induces aggregation of the AgNPs.This aggregation led to the recovery of the blue fluorescence of g-C3N4,with excitation/emission peaks at 310/460 nm.This fluorescence intensity could be reduced again in the presence of OPs because of the inhibitory effect of OPs on the activity of AChE.The degree of reduction was found to be proportional to the concentration of OPs,and the limit of fluorometric detection was 0.0324 μg/L(S/N = 3).In addition,the absorption of the g-C3N4/AgNPs at 390 nm decreased because of the aggregation of the AgNPs,but was recovered in presence of OPs because of the inhibition of enzyme activity by OPs.This method was successfully applied to the analysis of parathion-methyl in real samples.

Objective: Resting state functional magnetic resonance imaging (rsfMRI) provides a lot of evidence for local abnormal brain activity in schizophrenia, but the results are not consistent. Our aim is to find out the consistent abnormal brain regions of the patients with schizophrenia by using regional homogeneity (ReHo), and indirectly understand the degree of brain damage of the patients with drug-naive first episode schizophrenia (Dn-FES) and chronic schizophrenia. Methods: We performed the experiment by activation likelihood estimation (ALE) software to analysis the differences between people with schizophrenia group (all schizophrenia group and chronic schizophrenia group) and healthy controls. Results: Thirteen functional imaging studies were included in quantitative meta-analysis. All schizophrenia group showed decreased ReHo in bilateral precentral gyrus (PreCG) and left middle occipital gyrus (MOG), and increased ReHo in bilateral superior frontal gyrus (SFG) and right insula. Chronic schizophrenia group showed decreased ReHo in bilateral MOG, right fusiform gyrus, left PreCG, left cerebellum, right precuneus, left medial frontal gyrus and left anterior cingulate cortex (ACC). No significant increased brain areas were found in patients with chronic schizophrenia. Conclusion Our findings suggest that patients with chronic schizophrenia have more extensive brain damage than FES, which may contribute to our understanding of the progressive pathophysiology of schizophrenia.

The Au-PDA-Fe3O4 decorated graphene oxide electrode was modified with Prussion blue-secondary antibodies for determination of cancer biomarker α-fetoprotein (AFP) with great sensitivity.Scanning electron microscopy (SEM), X-ray diffraction (XRD) and ultraviolet-visible absorption spectrometry were used to characterize the structure of the material.Greatly enhanced sensitivity for the cancer biomarker is based on a dual signal amplification strategy.First, Fe3O4-PDA-Au used for the biosensor platform increased the surface area to capture a large amount of primary antibodies (Ab1), which resulted in amplification of the detection response.Second, graphene oxide allowed several binding events of PB-Ab2.Enhanced sensitivity was also achieved by introducing the multibioconjugates of Ab2-PB-GO onto the electrode surface through sandwich immunoreactions.The test result shows that there are linear relationships between current and AFP concentrations ranging from 0.005 ng/mL to 1 ng/mL and 1 ng/mL to 20 ng/mL, with the low detection limit (LOD) of 1.0 pg/mL.This immunosensor is simple, low-cost and sensitive and shows a great potential in biomedicine, clinical diagnosis and health examination.

At present, the somatic function assessment of the elderly mostly depends on the doctor's observation and the scale evaluation, and there isn't the objective and quantitative assessment criteria. In this paper, we design and construct a digital system for the geriatric somatic function assessment, which is based on digital ground, inertial unit, mobile terminal and PC terminal. The gait and balance parameters of the elderly were obtained by the Time Up and Go test and five postures test. Based on the linear regression model of gait and balance parameters, the system was used to evaluate the somatic function of the elderly. The experimental results show that the system not only can accurately distinguish elderly between fall and non-fall, but also has a high correlation between the score of the system and the score of clinical geriatric physical function scale.

In order to evaluate the ability of Parkinson's patients to walk comprehensively, a system based on MEMS to aid clinical quantification of ability in Parkinson's is established. The inertial units are respectively fixed on the back and the waist of subject to be measured. The Kalman fusion algorithm is used to extract the characteristic parameters of accelerometer and gyroscope data. SVM classifier is designed to train and test the classifier by the feature. The results show that the system possesses a high recognition rate for Parkinson's patients and normal subjects and for the classification of the walking ability of patients with Parkinson's disease. So, this system can aid doctors to give more object diagnostic conclusion.