Medicinal chemistry strategies toward broad-spectrum antiviral agents to prevent next pandemics.

The pandemic and tremendous impact of severe acute respiratory syndrome coronavirus 2 alert us, despite great achievements in prevention and control of infectious diseases, we still lack universal and powerful antiviral strategies to rapidly respond to the potential threat of serious infectious disease. Various highly contagious and pathogenic viruses, as well as other unknown viruses may appear or reappear in human society at any time, causing a catastrophic epidemic. Developing broad-spectrum antiviral drugs with high security and efficiency is of great significance for timely meeting public health emergency and protecting the lives and health of the people. Hence, in this review, we summarized diverse broad-spectrum antiviral targets and corresponding agents from a medicinal chemistry prospective, compared the pharmacological advantages and disadvantages of different targets, listed representative agents, showed their structures, pharmacodynamics and pharmacokinetics characteristics, and conducted a critical discussion on their development potential, in the hope of providing up-to-date guidance for the development of broad-spectrum antivirals and perspectives for applications of antiviral therapy.

Peer Stress Spills Over to Family Stress in the Context of Emotion Regulation Difficulties: A Daily Diary Study with Chinese Adolescents.

Conflict in peer and family relationships becomes more common in the adolescent period when compared to previous developmental periods. These typical developmental challenges can be exacerbated in the context of poor emotion regulation skills. Using daily diary data, the current study examined the stress spillover effects of peer and family stress on one another, as well as the moderating role of emotion regulation challenges (i.e., emotional inhibition, dysregulation). A sample of 310 Chinese adolescents (Mage = 13.02 years, SD = 0.76 years, 50.7% boys) completed an initial measure of emotion regulation difficulties, then reported on peer and family stress for 10 consecutive weekdays. Results indicated that there was an overall same-day peer stress spillover effect in which adolescents' peer stress on a given day was negatively associated with later conflictual interactions with their parents. Further, the relation between peer stress and same- and next-day family stress was exacerbated in the context of high levels of emotional inhibition. Family stress did not significantly relate to next-day peer stress, nor was this association moderated by difficulties with emotion regulation. These results highlight the temporal sequence of daily peer-to-family stress spillover. Though emotional inhibition may be culturally adaptive for maintaining interpersonal harmony, it can be maladaptive in managing stress for Chinese adolescents.

A context-dependent perspective to understand the relation between parent-child physiological synchrony and child socioemotional adjustment.

Physiological synchrony is an important biological process during which parent-child interaction plays a significant role in shaping child socioemotional adjustment. The present study held a context-dependent perspective to examine the conditional association between parent-child physiological synchrony and child socioemotional adjustment (i.e., relationship quality with parents and child emotion regulation) under different (i.e., from highly unsupportive to highly supportive) emotional contexts. One hundred and fifty school-age Chinese children (Mage = 8.64 years, 63 girls) and their primary caregivers participated in this study. After attaching electrocardiogram (ECG) electrodes, parent-child dyads were instructed to complete a 4-minute conflict discussion task. Parent-child physiological synchrony was calculated based on the within-dyad association between parents' and children's respiratory sinus arrhythmia (RSA) levels across eight 30-second epochs. Parental emotional support, child relationship quality with parents, and child emotion regulation during the discussion task were coded by trained research assistants. Supporting our hypotheses, parental emotional support moderated the relations of parent-child RSA synchrony with both child relationship quality with parents and child emotion regulation. Furthermore, the Johnson-Neyman technique of moderation indicated that the associations between parent and child RSA synchrony and child socioemotional adjustment indicators shifted from negative to positive as the parental emotional support became increasingly high. Our findings suggest that parent-child physiological synchrony may not be inherently adaptive or maladaptive, highlighting the importance of understanding the function of parent-child physiological synchrony under specific contexts. RESEARCH HIGHLIGHTS: Physiological synchrony may not be inherently adaptive or maladaptive, and the meanings of parent-child physiological synchrony might be contingent on contextual factors. Parental emotional support moderated the relations between parent-child respiratory sinus arrhythmia (RSA) synchrony and child socioemotional adjustment indicators (i.e., child relationship quality with parents and child emotion regulation). More positive/less negative parent-child RSA synchrony was associated with better child socioemotional adjustment under a supportive emotional context, whereas with poorer child socioemotional adjustment under an unsupportive emotional context. These findings highlight the significance of considering the emotional context in physiological synchrony studies.

Parenting links to parent-child interbrain synchrony: a real-time fNIRS hyperscanning study.

Parent-child interaction is crucial for children's cognitive and affective development. While bio-synchrony models propose that parenting influences interbrain synchrony during interpersonal interaction, the brain-to-brain mechanisms underlying real-time parent-child interactions remain largely understudied. Using functional near-infrared spectroscopy, we investigated interbrain synchrony in 88 parent-child dyads (Mage children = 8.07, 42.0% girls) during a collaborative task (the Etch-a-Sketch, a joint drawing task). Our findings revealed increased interbrain synchrony in the dorsolateral prefrontal cortex and temporo-parietal areas during interactive, collaborative sessions compared to non-interactive, resting sessions. Linear regression analysis demonstrated that interbrain synchrony in the left temporoparietal junction was associated with enhanced dyadic collaboration, shared positive affect, parental autonomy support, and parental emotional warmth. These associations remained significant after controlling for demographic variables including child age, child gender, and parent gender. Additionally, differences between fathers and mothers were observed. These results highlight the significant association between brain-to-brain synchrony in parent-child dyads, the quality of the parent-child relationship, and supportive parenting behaviors. Interbrain synchrony may serve as a neurobiological marker of real-time parent-child interaction, potentially underscoring the pivotal role of supportive parenting in shaping these interbrain synchrony mechanisms.

Atypical child-parent neural synchrony is linked to negative family emotional climate and children's psychopathological symptoms.

[Correction Notice: An Erratum for this article was reported in Vol 79(2) of American Psychologist (see record 2024-62662-005). In the article "Atypical Child-Parent Neural Synchrony Is Linked to Negative Family Emotional Climate and Children's Psychopathological Symptoms," by Haowen Su, Christina B. Young, Zhuo Rachel Han, Jianjie Xu, Bingsen Xiong, Zisen Zhou, Jingyi Wang, Lei Hao, Zhi Yang, Gang Chen, and Shaozheng Qin (American Psychologist, 2024, Vol. 79, No. 2, pp. 210-224, https://doi.org/10.1037/amp0001173), Figure 2 and its caption were corrected to fix a mismatch between the r coefficients and scatterplots. The caption was changed from "(c) Child-parent hippocampal activity concordance was significantly higher for boundary than nonboundary event time series (Z = 2.30, p = .01). (d) Child-parent vmPFC activity concordance was marginally significantly higher for boundary than nonboundary time series (Z = -1.39, p = .08)" to "(c) Child-parent vmPFC activity concordance was marginally significantly lower for boundary than nonboundary time series (Z = -1.39, p = .08). (d) Child- parent hippocampal activity concordance was significantly higher for boundary than nonboundary event time series (Z = 2.30, p = .01)." In addition, in the second sentence of the second paragraph of the "Reduced Child-Parent vmPFC Connectivity With the Hippocampus Links to Negative Family Emotional Climate and Children's Internalizing Symptoms" section, "anxious/depressed" and "internalizing" were switched. All versions of this article have been corrected.] Family emotional climate is fundamental to children's well-being and mental health. Family environments filled with negative emotions may lead to increased psychopathological symptoms in the child through dysfunctional child-parent interactions. Single-brain paradigms have uncovered changes in brain systems and networks related to negative family environments, but how the neurobiological reciprocity between child and parent brains is associated with children's psychopathological symptoms remains unknown. Here, we first investigated the relation between family emotional climate and children's psychopathological symptoms in 395 child-parent dyads. Using a naturalistic movie-watching functional magnetic resonance imaging technique in a subsample of 50 child-parent dyads, we further investigated the neurobiological underpinnings of how family emotional climates are associated with children's psychopathological symptoms through child-parent neural synchrony. Children from negative family emotional climate experienced significantly more severe psychopathological symptoms. In comparison to child-stranger dyads, child-parent dyads exhibited higher intersubject correlations in the dorsal and ventral portions of the medial prefrontal cortex (mPFC), and greater concordance of activity with widespread regions critical for socioemotional skills. Critically, negative family emotional climate was associated with decreased intersubject functional correlation between the ventral-mPFC and the hippocampus during movie watching in child-parent dyads, which further accounted for higher children's internalizing symptoms. Together, our findings provide insights into the neurobiological mechanisms that negative family environments can cause and maintain psychopathological symptoms in children through atypical child-parent neural synchrony. This has important implications for a better understanding of how child-parent connections may mediate the relation between environmental risks and developmental outcomes. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

Respiratory sinus arrhythmia (RSA) dynamics matter for children's emotion regulation: RSA inertia and instability within a stress task.

The present study employed two key dynamic indicators (i.e., inertia and instability) to the psychophysiological research of child emotion regulation (ER) and examined whether respiratory sinus arrhythmia (RSA) dynamics were associated with child ER during a stress task. Eighty-nine Chinese school-age children (Mage = 8.77 years, SD = 1.80 years; 46.1% girls) and their primary caregivers participated in the study. After controlling for RSA static reactivity, multiple regression analyses indicated that lower RSA inertia was related to fewer in-task negative emotions rated by children and their caregivers, and higher RSA instability was associated with better child trait ER. This study introduces physiological indicators of the dynamic aspects of parasympathetic activity to the study of child ER.

Investigating the impact of attenuated fluorescence spectra on protein discrimination.

The optical remote sensing techniques are promising for the real-time detection, and identification of different types of hazardous biological materials. However, the received fluorescent spectra from a remote distance suffer from the atmospheric attenuation effect upon the spectral shape. To investigate the influence of atmospheric attenuation on characterizing, and classifying biological agents, the laboratory-measured fluorescence data of fourteen proteins combined with the atmospheric transmission factors of the MODTRAN model were conducted with different detection ranges. The multivariate analysis techniques of principal component analysis (PCA) and linear discriminant analysis (LDA), and the predictors of Random Forest and XGBoost were employed to assess the separability and distinguishability of different spectra recorded. The results showed that the spectral-shift effect on attenuated spectra varied as a function of the detection range, the atmospheric visibility, and the spectral distribution. According to the PCA and LDA analysis, the distribution of decomposed factors changed in the spectral explanatory power with the increasing attenuation effect, which was consistent with the hierarchical clustering results. Random Forest exhibited higher performance in classifying protein samples than that of XGBoost, while the two methods performed similarly in identifying harmful and harmless subgroups of proteins. Fewer subgroups decreased the sensitivity of the classification accuracy to the attenuation effect. Our analysis demonstrated that combining atmospheric transport models to build a fluorescence spectral database is essential for fast identification between spectra, and reduced classification criteria could facilitate the compatibility of spectral database and classification algorithms.

A novel strategy for bioaerosol rapid detection based on broad-spectrum high-efficiency magnetic enrichment and separation combined with ATP bioluminescence.

Bioaerosol detection technology represented by laser-induced fluorescence (LIF) cannot effectively detect bioaerosols in the presence of interferents such as plant-derived smoke, industrial waste gas, pollen and pollen debris which can produce strong non-biological fluorescence interference. To overcome this drawback, in this study, a novel method based on broad-spectrum high-efficiency magnetic enrichment and separation combined with adenosine triphosphate (ATP) bioluminescence was proposed for Escherichia coli (E. coli) bioaerosols rapid detection. First, E. coli bioaerosols mixed with interferents were collected. Core-shell Fe3O4@Polydopamine@Polyethyleneimine magnetic particles were used as bioaerosol enrichment materials to enrich E. coli bioaerosol sampling solutions. Subsequently, an ATP bioluminescence assay was performed to determine the concentration of E. coli. A linear relationship was observed between ATP bioluminescence intensity after enrichment and the E. coli bioaerosol concentration in the range of 870-49,098 particles per liter; the bioluminescence intensity measured after enrichment was significantly higher than that before enrichment, and this enrichment method provide a 6-fold better sensitivity in bioaerosol detection. More importantly, this method efficiently enriched and detected bioaerosols in plant-derived smoke. This method can effectively improve the sensitivity of ATP bioluminescence detection, and possesses the advantages of convenient operation and strong anti-interference ability. It also provides a foundation for the effective detection of bioaerosols mixed with interfering substances, and a reference for evaluating the sensitivity and anti-interference of LIF-based instruments.

A D-Shaped SPR-Based PCF Sensor with an Extremely High-Amplitude Sensitivity for Measuring the Refractive Index.

In this work, a new D-shaped photonic crystal fibre sensor structure based on surface plasmon resonance (SPR) is purposed for measurement of analyte refractive index (RI). In this design, a silica cylinder is polished into a D-shaped silica material structure with a flattened surface where two Au nanowires are coated. Some air holes are omitted to form the core mode region. With the implementation of gold nanowires and a core region for the exciting SPR effect with variate physical values, analyte RI can be measured with a wavelength coverage from 850 to 1350nm. The numerical simulation shows the maximum wavelength sensitivity of the purposed design achieves 19,600nm/RIU with an RI coverage from 1.37 to 1.42. Moreover, the sensor has a tremendous amplitude sensitivity and the maximum absolute value is about 2300RIU-1. Benefiting from these outstanding performance, the purposed structure can be given priority when it is applied in biomedical detecting and environmental assessment science.

Patterns of childhood maltreatment influence sleep quality: The role of emotion regulation.

Childhood maltreatment exerts long-term consequences on sleep health, and different subtypes could constitute maltreatment patterns. However, how naturally occurring patterns of childhood maltreatment affect subsequent sleep quality and the underlying mechanisms remain relatively unclear, particularly in youths undergoing a transitional period and in the Chinese cultural context. In this study, we identified childhood maltreatment patterns and explored how these patterns predicted sleep problems through differential emotion regulation strategies. We tracked 1929 Chinese youths (M age = 18.49; 63.1% females) for one year. Three latent profiles were identified: low maltreatment exposure, high physical and emotional maltreatment, and high sexual abuse. Compared with "low maltreatment exposure," youths in "high physical and emotional maltreatment" used fewer cognitive reappraisal strategies, and those in "high sexual abuse" used more expressive suppression, and then leading to more sleep problems. This study reveals new insights into the patterns of childhood maltreatment in Chinese youths and implies that individuals exposed to sexual abuse or a combination of physical and emotional maltreatment experience sleep problems through the impairment of differential emotion regulation processes. It also highlights the necessity of setting differential targets on emotion regulation strategies for distinct groups of maltreatment and considering the co-occurrence of physical and emotional maltreatment.

Relations among family, peer, and academic stress and adjustment in Chinese adolescents: A daily diary analysis.

Family, peers, and academics are three central sources of stress for Chinese adolescents, which have potential negative implications for youth's adjustment. This study investigated how within-person fluctuations in daily domains of stress (i.e., family, peer, and academic) and between-person differences in average stress levels were associated with four Chinese adolescent adjustment indicators (i.e., positive and negative emotions, sleep quality, and subjective vitality). Participants included 315 Chinese adolescents (48.3% girls; Mage = 13.05 years, SD = 0.77 years) who completed a 10-day diary on each domain of stress and indicators of adjustment. Multilevel models revealed that peer stress had the most detrimental association with Chinese adolescents' adjustment at both within-person (i.e., higher same-day and next-day negative emotions) and between-person (i.e., higher negative emotions, worse sleep quality, and lower subjective vitality) levels. Academic stress was only significant at the between-person level, corresponding to worse sleep quality and increased levels of negative emotions. Family stress exhibited mixed associations and was positively associated with positive and negative emotions and subjective vitality. These findings underscore the need to examine the impact of multiple domains of stress on Chinese adolescent adjustment. Further, identification and intervention for adolescents with elevated peer stress may be particularly helpful for increasing healthy adjustment. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

Impact of different classification schemes on discrimination of proteins with noise-contaminated spectra using laboratory-measured fluorescence data.

Biological agents are important to detect and identify with respect to environmental contamination and public health. Noise contamination in fluorescent spectra is one of the contributors to the uncertainties of identification. In order to investigate the noise-tolerant capability provided by laboratory-measured excitation-emission matrix (EEM) fluorescence spectra that are used as a database, fluorescence properties of four proteinaceous biotoxin samples and ten harmless protein samples were characterized by EEM fluorescence spectra, and the predicting performance of models trained by laboratory-measured fluorescence data was tested and verified from validation data with noise-contaminated spectra. By means of peak signal of noise (PSNR) as an indicator of noise levels, the potential impact of noise contaminations on the characterization and discrimination of these samples was evaluated quantitatively. Different classification schemes utilizing multivariate analysis techniques of Principal Component Analysis (PCA), Random Forest (RF), and Multi-layer Perceptron (MPL) coupled with feature descriptors of differential transform (DT), Fourier transform (FT) and wavelet transform (WT) were conducted under different PSNR values. We systematically analyzed the performance of classification schemes by the case study at 20 PSNR and by statistical analysis from 1-100 PSNR. The results show that the spectral features with EEM-WT decreased the demanding number of input variables while retaining high performances in sample classification. The spectral features with EEM-FT presented the worst performance although having the largest number of features. The distributions of feature importance and contribution were found sensitive to noise contaminations. The classification scheme of PCA prior to MPL with EEM-WT as input presented an improvement in lower PSNR. These results indicate that robust features extracted by corresponding techniques are critical to enhancing the spectral differentiation capabilities among these samples and play an important role in eliminating the noise effect. The study of classification schemes for discriminating protein samples with noise-contaminated spectra presents tremendous potential for future developments in the rapid detection and identification of proteinaceous biotoxins based on three-dimensional fluorescence spectrometry.

Daily experiences and well-being of Chinese parents of children with autism.

LAY ABSTRACT: The present study examined the influences of child-related stress, parental coping and social support on parental daily subjective well-being (i.e. positive and negative affect, life satisfactory) in Chinese families of children with autism spectrum disorder. For 14 days, a total of 76 parents (58 mothers) participated in the study and completed daily diaries. For mothers, child-related stress was related to lower life satisfaction; social support was related to higher life satisfaction that day. These daily relations were not found for fathers. Across all parents, avoidant coping was associated with higher negative affect and lower positive affect on the same day. Notably, daily positive coping was related to greater same-day positive affect as well as greater same-day and next-day life satisfaction. Interventions aimed at increasing positive coping and social support, and reducing child-related stress and avoidant coping are important to help parents maintain well-being, particularly for mothers of children with autism.

Ricin aptamer screening based on the QSAR model and construction of piezoresistive micro-cantilever aptasensor.

Currently, many aptamers of different target molecules have been screened by systematic evolution of ligands by exponential enrichment (SELEX) method. However, since the crystal structure of aptamers is complicated to obtain, few studies focus on the quantitative structure activity relationship (QSAR) of aptamers. It is significant to develop a virtual screening method for aptamers based on the QSAR model. In this study, a piezoresistive micro-cantilever aptasensor was fabricated to quantificationally detect ricin based on a new aptamer obtained via a virtual screening method. The advanced screening method based on the established QSAR model can screen aptamers formed by site-directed mutation of bases. The results of intermolecular interactions and molecular docking displayed that the new aptamer was mainly bound to ricin A-chain, and its combination of ricin with ricin B-chain aptamer has a significant synergistic effect. Due to the aptamer with excellent performance and the good linear relationship between the relative resistance change and the vertical deformation of the micro-cantilever, the piezoresistive micro-cantilever aptasensor emerged a linear detection range from 7.5 pg mL-1 to 75 ng mL-1 (R2 = 0.949) with the limit of detection 750 fg mL-1 (S/N ≥ 3) for ricin. Furthermore, the proposed piezoresistive micro-cantilever sensor displayed excellent analytical performance with good reproducibility and high specificity.

Patterns and predictors of adolescent life change during the COVID-19 pandemic: a person-centered approach.

The present study investigated patterns of adolescent life changes across multiple life domains and utilized a holistic-interactionistic perspective to examine their individual, familial, and societal correlates with a sample of 2544 Chinese parent-adolescent dyads. Adolescents were aged from 10 to 19 years old (50.16% girls). Latent profile analysis revealed five life change profiles, including three improved profiles at various degrees, one unchanged profile, and one worsened profile. The majority of adolescents had an improved or unchanged life. Multinomial logistic regression analyses found that most of the individual, familial, and societal factors predicted the group memberships. Notably, parent-adolescent conflict was a significant factor that predicted memberships of all patterns. These findings show the resilience of adolescents and indicate the need for policies and interventions that consider the holistic nature of adolescents' person-context system, especially during a global crisis such as the COVID-19 pandemic.

Performance of feature extraction method for classification and identification of proteins based on three-dimensional fluorescence spectrometry.

Three-dimensional excitation emission matrix (EEM) fluorescence spectroscopy was employed to discriminate protein samples comprising bovine serum albumin, neurotensin, ovalbumin, ricin, trypsin from bovine pancreas and trypsin from porcine pancreas. Two methods of feature extraction with and without parameterization were applied to the spectral data in order to evaluate their performance of discrimination between protein samples. The discrimination of protein samples was conducted by k-means clustering algorithm and eigenvalue extracting procedure based on principal component analysis (PCA). It was found that the method of feature extraction without parameterization performed best, correctly attributing 100% of the spectral data in the condition of two principal components (PCs) captured. Features extracted with spectral parameterization failed to separate ricin and trypsin from bovine pancreas in same condition. Without spectral parameterization, less dimensionality and unique principal components captured by PCA indicates the spectrally-resolved features of corresponding protein samples. By clustering using each spectrum at fixed excitation wavelength, excitation wavelengths matched with common intrinsic fluorophores were found to be more sensitive to the classification accuracy. Contributions of spectral features extracted from EEM to the principal components were discussed and demonstrated their feature differentiation capabilities among six protein samples. These results reveal that appropriate extraction approach of features in combination with PCA analysis could be used in discrimination of protein samples at species level as a spectroscopic diagnostic tool. Our study provides fundamental references about computational strategies when EEM are used to explore proteins in ambient environment.

Profiles of interpersonal relationship qualities and trajectories of internalizing problems among Chinese adolescents.

Adolescence is a significant period for the formation of relationship networks and the development of internalizing problems. With a sample of Chinese adolescents (N = 3,834, 52.01% girls, Mage = 16.68 at Wave 1), the present study aimed to identify the configuration of adolescents' relationship qualities from four important domains (i.e., relationship quality with mother, father, peers, and teachers) and how distinct profiles were associated with the development of internalizing problems (indicated by depressive and anxiety symptoms) across high school years. Latent profile analysis identified a five-profile configuration with four convergent profiles (i.e., relationship qualities with others were generally good or bad) and one "Father estrangement" profile (i.e., the relationship quality with others were relatively good but that with father was particularly poor). Further conditional latent growth curve analysis indicated the "Father estrangement" profile was especially vulnerable to an increase in the internalizing problems as compared with other relationship profiles. This study contributes to understanding the characteristics of interpersonal relationship qualities and their influences on adolescent internalizing problems in a non-Western context. Results were further discussed from a culturally specific perspective.

A New Method for Abrin Detection Based on the Interaction between Target Molecules and Fluorescently Labeled Aptamers on Magnetic Microspheres.

A quantitative structure-activity relationship (QSAR) model for the structure and affinity of abrin aptamers was established. A higher affinity abrin aptamer based on the established QSAR model was screened by site-directed mutagenesis. The fluorescence quenching effect between magnetic microspheres and fluorescent molecules was studied for the first time. A new method for abrin detection based on the interaction between target molecules and fluorescently labeled aptamers on magnetic microspheres was developed, with the detection limit of 5 ng mL-1. This method can overcome the influence of complex environmental interferents in abrin detection and can meet the analysis requirements for simulated samples such as water, soil, and food.

A new method for quantitative analysis of M13 bacteriophage by atomic force microscopy.

Quantitative analysis is essential for virus research, especially in determining the virus titer. The classical method plaque assay is time-consuming, complex, and difficult for the phages that cannot form apparent plaque on the solid medium. In order to realize rapid and effective detection, a new method combining atomic force microscopy (AFM) observation and mathematical calculation is established. In this research, M13 phages with an appropriate dilution ratio were observed and counted by AFM. Based on the counting results, the titer of M13 phages can be calculated simply through mathematical substitution. Instead of cultivating overnight in plaque assay, this new method can be implemented within a few hours. Moreover, it is a method that can achieve visualization for titer determination and have the potential to determine the phages that fail to form apparent plaque, which is significant in virus quantitative assessment.

Clinical Analysis of Surgical Treatment of Senile Intertrochanteric Fracture Based on Intelligent Knowledge of Health Care.

In order to explore the clinical application value of intelligent health care knowledge combined with closed reduction intramedullary nail fixation in elderly patients with intertrochanteric fracture of the femur, a retrospective analysis is performed on 80 elderly patients who received intertrochanteric surgery from January 2019 to January 2021. All patients were divided into study group and control group based on intelligent medical knowledge received or not. During the phase of treatment, both the two groups were treated with closed reduction and intramedullary nailing. The control group received conventional knowledge training and rehabilitation before and after the surgery, and the research group received additional intelligent medical knowledge health care. Observations of patients after bed and ground time are compared and the VAS score is used to evaluate the pain degree at 12 h, 24 h, and 48 h after surgery. Besides, the incidence of postoperative complications in the two groups is observed. From the clinical follow-up results, it is clearly evident that intramedullary nail fixation based on medical care knowledge can effectively improve the hip function and quality of life in patients, reduce postoperative pain, and improve the prognosis of elderly patients with femoral trochanteric fracture.