A control study on pain characteristics and influencing factors in patients with depressive disorders-based on a 5-year follow-up report from the epidemiological survey of mental disorders in Shandong Province, China.

BACKGROUND: This study extends from the 2015 Shandong Province Epidemiological Survey of Mental Disorders in adults aged 18 and above. Over five years, it investigates pain characteristics and influencing factors in individuals with depressive disorders in Shandong Province. METHODS: The study encompasses 871 individuals who met DSM-IV criteria for depressive disorders in 2015. Using 1:1:1 matching by gender, age, and residence, 825 non-afflicted individuals were selected as high-risk controls, and 825 screening-negative individuals became low-risk controls. A follow-up study in 2020 involved 1848 participants. Survey tools included a general information questionnaire, General Health Questionnaire-12 (GHQ-12), SCID-I/P, Global Pain Scale (GPS), Quality of Life Questionnaire (QLQ), PSQI, MoCA, and clinical data questionnaire. RESULTS: GPS scores in the current depressive group were higher than in non-current depressive group (Z = 14.36, P < 0.01). GPS scores in study group exceeded those in high-risk and low-risk control groups (H = 93.71, P < 0.01). GPS scores in non-remission group were higher than in the remission group (Z = 8.90, P < 0.01). Regression analysis revealed positive correlations between GPS scores and physical illnesses, current depression, incumbency, GHQ-12 total score, and PSQI total score. Negative correlations were observed with QLQ total score and MoCA total score. LIMITATIONS: The study could not assess pain during the 2015 survey, limiting controlled pain analysis before and after five years. CONCLUSION: Depression sufferers may experience prolonged heightened pain, potentially relieved when depression subsides. Individual pain is influenced by depression, physical illnesses, sleep quality, quality of life, cognitive function, gender, residence, and occupation.

The role of the transcriptional repressor CssR in Corynebacterium glutamicum in response to phenolic compounds.

The cssR gene (ncgl1578) of Corynebacterium glutamicum encodes a repressor of the TetR (tetracycline regulator) family. Its role in the stress response to antibiotics/heavy metals has been investigated, but how CssR functions in response to phenolic compounds in C. glutamicum has been rarely studied. In this study, we applied transcriptomic analysis, ß-galactosidase analysis, qRT-PCR, and EMSAs to analyze the target genes and functions of CssR in response to phenolic compounds. Consistent with the upregulation of genes involved in the degradation of phenolic compounds, the ΔcssR mutant was more resistant to various phenolic compounds than was the wild-type strain. Furthermore, the addition of phenolic compounds induced the expression of corresponding genes (ncgl0283, ncgl1032, ncgl1111, ncgl2920, ncgl2923, and ncgl2952) in vivo. However, the DNA binding activity of CssR to the promoter of phenolic compound-degrading genes was undetected in vitro. Additionally, we also found that CssR indirectly negatively regulates the expression of cell wall/membrane/envelope biogenesis-related genes, which may enhance resistance to stress caused by phenolic compounds. Together, our findings demonstrate that CssR is a key regulator that copes with stress conditions induced by phenolic compounds, thus greatly expanding our understanding of the functions of TetR family transcription factors.

Network pharmacology analysis and clinical efficacy of the traditional Chinese medicine Bu-Shen-Jian-Pi. Part 3: Alleviation of hypoxia, muscle-wasting, and modulation of redox functions in amyotrophic lateral sclerosis.

OBJECTIVE: The aim of this clinical study is to obtain evidence for the clinical efficacy of Bu-Shen-Jian-Pi formula (BSJP), a traditional Chinese medicine, used for the treatment of amyotrophic lateral sclerosis, a relatively rare, progressive and usually fatal disease possibly associated with alterations in tissue redox status, hypoxia, and muscular injury. BACKGROUND: The active agents in BSJP formula† causing apoptosis, modulation of redox changes, and alterations in the immune status have been studied previously by us using cell cultures. The findings from these investigations have been incorporated into pharmacology databases employed in our analysis of BSJP using network pharmacology analysis/artifical intelligence. This information has been used here in the design of the investigation and to optimize evaluation of the clinical efficacy and usefulness of this herbal medicine, as far as possible using evidence-based medicine criteria. MATERIALS AND METHODS: The design of the study was a randomized multi-center, controlled clinical trial in 127 patients with confirmed diagnoses of amyotrophic lateral sclerosis. Patients and investigator were double-blinded. Clinical efficacy was determined using the Amyotrophic Lateral Sclerosis Symptom Score in Integrative Treatment Scale (ALS-SSIT) and the Amyotrophic Lateral Sclerosis Rating Scale-Revised (ALSFRS-R), together with tests of limb muscle strength using the manual muscle test (MMT), forced vital capacity (FVC), and clinical chemistry laboratory tests over a 20-week observation period. RESULTS: The scores of ALS-SSIT in the BSJP group increased significantly (22%) after treatment. The ALSFRS-R score in the BSJP group decreased significantly after treatment (19%). The rate of decrease in muscle function (MMT score) in most BSJP patients was lower than that in the control group, where the differences in the scores for the trapezius and triceps brachii were statistically significant compared to the control group. The fall in FVC in the BJSP group was significantly slower than in the control group. There were no marked differences observed in the frequency of side effects. Serum vitamin D3 levels in the BSJP group showed greater increases compared to the control group. CONCLUSION: BSJP treatment reduced the rate of progression of amyotrophic lateral sclerosis according to the ALS-SSITS and ALSFRS scores and significantly reduced the rate of deterioration in muscle function in the limbs of amyotrophic lateral sclerosis patients. The modes of action of BSJP in treating amyotrophic lateral sclerosis are probably diverse and multi targeted, some of which may involve regulation of serum vitamin D3 and alleviation of the impairments in liver and kidney function.

Network pharmacology analysis and clinical efficacy of the traditional Chinese medicine Bu-Shen-Jian-Pi. Part 2: Modulation of hypoxia, redox status, and mitochondrial protection in a neuroblastoma cell line, SH-SY5Y.

OBJECTIVE: To examine the mitochondrial protective effects of icariin, naringenin, kaempferol, and formononetin, potentially active agents in Bu-Shen-Jian-Pi formula (BSJP) identified using network pharmacology analysis. MATERIALS AND METHODS: Mitochondrial protection activity was determined using a hypoxia-reoxygenation in vitro model based on the neuroblastoma cell line SH-SY5Y and measurements of anti-ferroptotic activity. RESULTS: Icariin, naringenin, kaempferol, and formononetin showed mitochondrial protective activity involving diverse signaling pathways. The cytoprotective effects of formononetin depended on the inhibition of ferroptosis. Hypoxia-reoxygenation stimulation induced ferroptosis in SH-SY5Y cells. DISCUSSION: Ferroptosis is a key mechanism in nervous system diseases and is associated with hypoxia-reoxygenation injury. Naringenin and kaempferol were devoid of anti-ferroptotic activity. CONCLUSION: Evidence has been obtained showing that the core components: icariin, naringenin, kaempferol, and formononetin in BSJP formula have anti-hypoxic and mitochondrial protective activity of potential clinical importance in the treatment of amyotrophic lateral sclerosis and patients with symptoms of hypoxia.

Causal association between kynurenine and depression investigated using two-sample mendelian randomization.

As research progresses, the intricate metabolic connections between depression and tryptophan, as well as kynurenine (KYN), have become increasingly evident. In studies investigating the relationship between KYN and depression, the conclusions reached thus far have been inconsistent. Therefore, we propose employing a two-sample mendelian randomization (MR) approach to further elucidate the relationship between KYN and depression. We utilized extensive data from large-scale genome-wide association studies to identify single nucleotide polymorphisms that act as instrumental variables for kynurenine and depression in European ancestry populations, ensuring compliance with MR assumptions. We employed five MR algorithms, namely, weighted median, MR-Egger, inverse variance weighted (IVW), simple mode, and weighted mode, with IVW as the primary analysis method. Sensitivity tests were conducted using Cochran's Q test, MR-Egger intercept test, MR Pleiotropy Residual Sum and Outlier, and Leave-one-out analysis.The IVW analysis revealed that each standard deviation increase in kynurenine corresponded to a 1.4-fold increase in the risk of depression (OR = 1.351, 95% CI 1.110-1.645, P = 0.003). The direction of the effect size (positive or negative) was consistent with the findings from the other four algorithms. Sensitivity tests indicated no heterogeneity or horizontal pleiotropy among the instrumental variables. Elevated levels of kynurenine have a causal relationship with an increased risk of developing depression.

Utilizing symmetrical tetramethyl cucurbit[6]uril-based supramolecular fluorescence probe for detection of paraquat in water.

A supramolecular fluorescence probe has been developed using a symmetrical tetramethyl cucurbit[6]uril (TMeQ[6]) and a styryl derivative (SPy) with a host-guest ratio of 2:1. The introduction of paraquat (PQ) competes with SPy for the TMeQ[6] cavity, resulting in fluorescent quenching. The addition of 17 common herbicides and ions had negligible effects on the fluorescence quenching, indicating that the 2TMeQ[6]/SPy complex exhibits excellent selectivity in detecting PQ. The detection limit was found to be 4.62 × 10-7 M. More importantly, the probe was engineered to detect paraquat in river water by examining post-treatment samples and noting alterations in fluorescence color. The red to blue (R/B) intensity ratio is subsequently calculated to ascertain the PQ concentration. Experimental trials conducted on river water samples yielded recovery rates between 98.21 % and 108 %, with a relative standard deviation of less than 5 %. By pairing this with a smartphone-based colorimetric analysis application, we can facilitate portable PQ detection, enabling efficient and convenient monitoring across various locations.

Network pharmacology analysis and clinical efficacy of the traditional Chinese medicine Bu-Shen-Jian-Pi. Part 1: Biogenic components and identification of targets and signaling pathways in amyotrophic lateral sclerosis patients.

BACKGROUND: There is evidence that Bu-Shen-Jian-Pi (BSJP), a traditional Chinese medicine, has curative effects in patients suffering from amyotrophic lateral sclerosis (ALS), a progressive and potentially fatal hypoxic condition. OBJECTIVE: To identify biogenic components in BSJP extracts having potential pharmacological efficacy in ALS. MATERIALS AND METHODS: Biogenic components in BSJP and their potential pharmacological targets and signaling pathways in ALS were identified and assessed using network pharmacology/hub node analysis. RESULTS: Network pharmacology analysis identified icariin, naringenin, kaempferol, quercetin, and formononetin as core components in BSJP with potential activity involving mitochondrial protection in patients with ALS. CONCLUSION: Network pharmacology analysis proved to be a successful screening tool for obtaining information from scientific databases on the pharmacology of biogenic components in BSJP showing potential therapeutic activity in ALS.

Cucurbit[7]uril-based carbon dots for recognizing histamine.

Fluorescent carbon quantum dots (CQDs) were synthesized from cucurbit[7]uril (Q[7]) and 2,2-bis(hydroxymethyl)propionic (DMPA) by a hydrothermal method. The Q[7]-DMPA complex was confirmed by X-ray crystallography. The CQDs showed blue fluorescence, photostability, and ionic strength stability. They were used to detect histamine with a low limit of 2.33 × 10-6 M.

Red Room-Temperature Phosphorescence Supramolecular Assemblies Based on Cucurbit[7]uril: Reversible Temperature Stimulation Response and Cell-Specific Silver Ion Imaging.

Solid-state materials with efficient room-temperature phosphorescence (RTP) emission have been widely used in materials science, and organic RTP-emitting systems with heavy-metal doping in aqueous solutions have attracted much attention in recent years. A novel supramolecular interaction was induced by host-guest assembly using cucurbit[7]uril (Q[7]) as the host and brominated naphthalimide phosphor as the guest. This interaction was further enhanced through synergistic chelation stimulated by analytical silver ion complexation. This approach facilitated the system's structural rigidity, intersystem crossing, and oxygen shielding. We achieved deep red phosphorescence emission in aqueous solution and ambient conditions along with quantitative determination of silver ions. The new complex exhibited good reversible thermoresponsive behavior and was successfully applied for the first time to target phosphorescence imaging of silver ions in the mitochondria of A549 cancer cells. These results are beneficial for constructing novel RTP systems with stimulus-responsive luminescence in aqueous solution, contributing to future research in bioimaging, detection, optical sensors, and thermometry materials.

Molecular interplay between ecdysone receptor and retinoid X receptor in regulating the molting of the Chinese mitten crab, Eriocheir sinensis.

Purpose: Molting is a pivotal biological process regulated by the ecdysteroid signaling pathway that requires molecular coordination of two transcription factors, Ecdysone receptor (EcR) and ultraspiracle (USP) in arthropods. However, the molecular interplay of EcR and Retinoid X receptor (RXR), the crustacean homolog of USP in the ecdysteroid signaling pathway, is not well understood. Methods: In this study, we conducted temporal and spatial expression, co-immunoprecipitation (CO-IP), and luciferase reporter assay experiments to investigate the molecular function and interplay of EcR and RXR during the molting process of the Chinese mitten crab, Eriocheir sinensis. Results: The results showed that the expression level of RXR was more stable and significantly higher than EcR during the entire molting process. However, the expression level of EcR fluctuated dynamically and increased sharply at the premolt stage. The CO-IP and luciferase reporter assay results confirmed the molecular interplay of EcR and RXR. The heterodimer complex formed by the two transcription factors significantly induced the transcription of E75, an essential gene in the ecdysteroid signaling pathway. Conclusions: Our study unveiled the diverse molecular function and molecular interplay of EcR and RXR; RXR is possibly a "constitutive-type" gene, and EcR is possibly a vital speed-limiting gene while both EcR and RXR are required to initiate the ecdysteroid signaling cascade, which may be indispensable for molting regulation in E. sinensis. The results provide a theoretical basis for the endocrine control of molting in E. sinensis and novel insights into the molecular mechanism of molting mediated by the ecdysteroid signaling pathway in crustaceans.

Incremental yield of serial sputum examinations in the diagnosis of pulmonary tuberculosis in Taiwan: Findings of a pragmatic trial.

BACKGROUND: Presumptive tuberculosis (TB) cases commonly had two to three sputum examinations in Taiwan. The incremental yield of serial sputum examinations has not been assessed before. METHODS: In a pragmatic trial, presumptive TB patients with a frontline nucleic acid amplification test (NAAT) were classified as group A. Those without a frontline NAAT were randomized into group B frontline NAAT as intervention, and group C usual care. We investigated expected incremental yields and the number of examinations required for detection of one additional TB case from each serial sputum smear and culture. RESULTS: Of 6835 presumptive TB cases, 395 (5.8%) were smear positive for acid-fast bacilli, and 195 (2.8%) culture positive for M tuberculosis. The expected incremental yield from a third smear was 3.5% and examination of 1712 (95% credibility interval 586-4706) third smears was required to detected one additional TB case. Sensitivity of one smear with an NAAT in group B was 46.8% (95% confidence interval 32.1%-61.9%), and that of two smears in Group C 40.0% (95% confidence interval 25.7%-55.7%). The expected incremental yield from a third culture was 8.4%, and the number of third cultures required to detect one additional TB case was 394 (95% credibility interval 231-670). CONCLUSIONS: The incremental yield of the third sputum smear was negligible. It may be reasonable to perform an NAAT, smear and culture on the first specimen and culture alone on the second. The utility of the third serial culture for the detection of additional TB case is debatable.

Metal Cation-Doped ns-Cucurbit[10]uril: Adsorption of Para-Phenylenediamine.

The separation of phenylenediamine (PDA) isomers is crucial in the field of chemical manufacturing. Herein, we presented a strategy for the separation of PDA isomers (para-phenylenediamine, p-PDA; meta-phenylenediamine, m-PDA; ortho-phenylenediamine, o-PDA) using four supramolecular framework materials of ns-cucurbit[10]uril (ns-Q[10]), (1) ns-Q[10](Cd), (2) ns-Q[10](Mn), (3) ns-Q[10](Cu), (4) ns-Q[10](Pb). Our findings indicated that these supramolecular framework materials of ns-Q[10] showed remarkable selectivity for para-phenylenediamine (p-PDA) in p-PDA, m-PDA, and o-PDA mixtures, respectively. The variations in selectivity observed in these four single-crystal structures arose from variations in the thermodynamic stabilities and binding modes of the host-guest complexes. Importantly, the supramolecular framework based on ns-Q[10] exhibited selective accommodation of p-PDA over its isomers. This study highlighted the practical application of ns-Q[10] in effectively separating PDA isomers and demonstrated the potential utility of ns-Q[10] in isolating other organic molecules.

Cavitation bubble structures below a soft boundary in an ultrasonic field.

We studied the layer structure of bubbles just below water/air and water/EPE (Expand aple poly ephylene) interfaces using high-speed photography. The layer structure was generated by floating spherical clusters, the source bubbles of which were identified to come from the attachment of bubble nuclei at the interface, the floating of bubbles in the bulk liquid, or bubbles generated on the surface of the ultrasonic transducer. The boundary shape affected the layer structure, which assumed a similar profile below the water/EPE interface. We developed a simplified model composed of a bubble column and bubble chain to describe interface impacts and the interaction of bubbles in a typical branching structure. We found that the resonant frequency of the bubbles is smaller than that of an isolated single bubble. Moreover, the primary acoustic field plays an important role in the generation of the structure. A higher acoustic frequency and pressure were found to shorten the distance between the structure and the interface. A hat-like layer structure of bubbles was more likely to exist in the low-frequency (28 and 40 kHz) intense inertial cavitation field, in which bubbles oscillate violently. By contrast, structures composed of discrete spherical clusters were more likely to form in the relatively weak cavitation field at 80 kHz, in which stable and inertial cavitation coexisted. The theoretical predictions were in good agreement with the experimental observations.

Changes in the liver of Tinca tinca under successive domestication using an integrated multi-omics approach.

Domestication is the process of modifying the phenotype of a population through anthropic selection from human perspectives. Successive generations of domestication have influenced the physiological characteristics of tench Tinca tinca. In current study, we investigated gene and protein expression alterations in the liver of fifth-generation (F5). A total of 420 genes were found to be upregulated and 351 genes were downregulated, while 410 proteins were upregulated and 279 proteins were downregulated in domesticated T. tinca (DT). The integrated analysis of omics data revealed a total of 55 genes/proteins exhibiting consistent upregulation and 12 genes/proteins displaying consistent downregulation in DT. The upregulated genes/proteins in DT, such as SSR1, DERLIN2, OS9, DNAJB11, and HYOU1, exhibit enrichment in the protein processing in the endoplasmic reticulum pathway. Additionally, upregulated genes/proteins such as IL2RB, F13B, and IRF3 are associated with immune response. Conversely, downregulated genes/proteins in DT, including HSD11B1, CYP24A1, and COMT, play roles in hormone metabolism. These findings indicate that domestication can have a substantial impact on the physiological modifications related to protein processing, immune response, and hormone metabolism in DT. These adaptations potentially enhance their ability to thrive in artificial aquaculture environments, leading to improved growth and development. The exploration of genetic changes in DT will not only improve aquaculture practices but also provide significant insights into the broader process of domestication and its effects on physiological functions.

Structure of bubble cluster adjacent to the water surface in the ultrasonic field.

The generation and evolution of bubble clusters in ultrasound fields were studied using high-speed photography. The transition of a spherical bubble cluster to a layer-like bubble cluster was demonstrated in detail. At a distance of half a wavelength to the water surface, the rising spherical cluster oscillated strongly and its equilibrium size grew. The speed was about 0.4 m/s and had a tendency to decrease. A jet caused by the last collapse of the spherical cluster rushed to the water surface, creating a bulge on the surface. Subsequently, due to the primary acoustic field, bubbles accumulated again below the bulge, and a layer-like bubble cluster gradually formed. The effects of acoustic frequency and intensity on the layer-like cluster were considered. It was found that the clusters located at a distance-to-wavelength ratio of about 0.08 to 0.13, very close to the water surface. The flickering bubble clusters were easy to be observed at 28 kHz and 40 kHz, while the accumulation of bubbles and their flicker were relatively weak at 80 kHz. The higher the frequency, the shorter the wavelength, the closer the structure to the water surface. However, at 80 kHz, the cavitation threshold is supposed to be higher and the resonance size of the bubbles is smaller, so the bubble oscillations and their interactions were weaker, and the phenomenon was different from the cases of 28 kHz and 40 kHz. Multiple structures mainly exist at 40 kHz. The formation and evolution of the layer-like cluster are closely dependent on the adequate supply of bubble nuclei from the water surface and the surrounding liquid. A Y-shaped bifurcation was used to model the branch streamers, which provided a path of bubbles accumulate into the clusters. The secondary Bjerknes forces between bubbles were adapted to analyze the interactions, and the results proved that it plays an important role in the appearance and evolution of the substructures.

Identifying and mapping individual medicinal plant Lamiophlomis rotata at high elevations by using unmanned aerial vehicles and deep learning.

BACKGROUND: The identification and enumeration of medicinal plants at high elevations is an important part of accurate yield calculations. However, the current assessment of medicinal plant reserves continues to rely on field sampling surveys, which are cumbersome and time-consuming. Recently, unmanned aerial vehicle (UAV) remote sensing and deep learning (DL) have provided ultrahigh-resolution imagery and high-accuracy object recognition techniques, respectively, providing an excellent opportunity to improve the current manual surveying of plants. However, accurate segmentation of individual plants from drone images remains a significant challenge due to the large variation in size, geometry, and distribution of medicinal plants. RESULTS: In this study, we proposed a new pipeline for wild medicinal plant detection and yield assessment based on UAV and DL that was specifically designed for detecting wild medicinal plants in an orthomosaic. We used a drone to collect panoramic images of Lamioplomis rotata Kudo (LR) in high-altitude areas. Then, we annotated and cropped these images into equally sized sub-images and used a DL model Mask R-CNN for object detection and segmentation of LR. Finally, on the basis of the segmentation results, we accurately counted the number and yield of LRs. The results showed that the Mask R-CNN model based on the ResNet-101 backbone network was superior to ResNet-50 in all evaluation indicators. The average identification precision of LR by Mask R-CNN based on the ResNet-101 backbone network was 89.34%, while that of ResNet-50 was 88.32%. The cross-validation results showed that the average accuracy of ResNet-101 was 78.73%, while that of ResNet-50 was 71.25%. According to the orthomosaic, the average number and yield of LR in the two sample sites were 19,376 plants and 57.93 kg and 19,129 plants and 73.5 kg respectively. CONCLUSIONS: The combination of DL and UAV remote sensing reveals significant promise in medicinal plant detection, counting, and yield prediction, which will benefit the monitoring of their populations for conservation assessment and management, among other applications.

A novel approach for quantitative determination of cellulose content in tobacco via 2D HSQC NMR spectroscopy.

Cellulose is an important component of tobacco (Nicotiana tabacum L.) cell walls, which can be precursors for many harmful compounds in smoke. Traditional cellulose content analysis methods involve sequential extraction and separation steps, which are time-consuming and environmentally unfriendly. In this study, a novel method was first introduced to analyze cellulose content in tobacco via two-dimensional heteronuclear single quantum coherence (2D HSQC) NMR spectroscopy. The method was based on derivatization approach to allow the dissolution of insoluble polysaccharide fractions of tobacco cell walls in DMSO­d6/pyridine-d5 (4:1 v/v) for NMR analysis. The NMR results suggested that besides the main NMR signals of cellulose, partial signals of hemicellulose including mannopyranose, arabinofuranose, and galactopyranose units could also be identified. In addition, the utilization of relaxation reagents has proved to be an effective way to improve the sensitivity of 2D NMR spectroscopy, which was beneficial for quantification of biological samples with limited quantities. To overcome the limitations of quantification using 2D NMR, the calibration curve of cellulose with 1,3,5-trimethoxybenzene as internal reference was constructed and thus the accurate measurement of cellulose in tobacco was achieved. Compared with the chemical method, the interesting method was simple, reliable, and environmentally friendly, which provided a new insight for quantitative determination and structure analysis of plant macromolecules in complex samples.

Quality assessment of traditional Chinese medicine based on data fusion combined with machine learning: A review.

The authenticity and quality of traditional Chinese medicine (TCM) directly impact clinical efficacy and safety. Quality assessment of traditional Chinese medicine (QATCM) is a global concern due to increased demand and shortage of resources. Recently, modern analytical technologies have been extensively investigated and utilized to analyze the chemical composition of TCM. However, a single analytical technique has some limitations, and judging the quality of TCM only from the characteristics of the components is not enough to reflect the overall view of TCM. Thus, the development of multi-source information fusion technology and machine learning (ML) has further improved QATCM. Data information from different analytical instruments can better understand the connection between herbal samples from multiple aspects. This review focuses on the use of data fusion (DF) and ML in QATCM, including chromatography, spectroscopy, and other electronic sensors. The common data structures and DF strategies are introduced, followed by ML methods, including fast-growing deep learning. Finally, DF strategies combined with ML methods are discussed and illustrated for research on applications such as source identification, species identification, and content prediction in TCM. This review demonstrates the validity and accuracy of QATCM-based DF and ML strategies and provides a reference for developing and applying QATCM methods.