Current Issue

2024 Vol. 14, No. 11

Review papers
Recent trends and impact of localized surface plasmon resonance (LSPR) and surface-enhanced Raman spectroscopy (SERS) in modern analysis
Bibhu Prasad Nanda, Priyanka Rani, Priyanka Paul, Aman, Subrahmanya S. Ganti, Rohit Bhatia
2024, 14(11): 100959. doi: 10.1016/j.jpha.2024.02.013
Abstract:
An optical biosensor is a specialized analytical device that utilizes the principles of optics and light in bimolecular processes. Localized surface plasmon resonance (LSPR) is a phenomenon in the realm of nanophotonics that occurs when metallic nanoparticles (NPs) or nanostructures interact with incident light. Conversely, surface-enhanced Raman spectroscopy (SERS) is an influential analytical technique based on Raman scattering, wherein it amplifies the Raman signals of molecules when they are situated near specific and specially designed nanostructures. A detailed exploration of the recent ground-breaking developments in optical biosensors employing LSPR and SERS technologies has been thoroughly discussed along with their underlying principles and the working mechanisms. A biosensor chip has been created, featuring a high-density deposition of gold nanoparticles (AuNPs) under varying ligand concentration and reaction duration on the substrate. An ordinary description, along with a visual illustration, has been thoroughly provided for concepts such as a sensogram, refractive index shift, surface plasmon resonance (SPR), and the evanescent field, Rayleigh scattering, Raman scattering, as well as the electromagnetic enhancement and chemical enhancement. LSPR and SERS both have advantages and disadvantages, but widely used SERS has some advantages over LSPR, like chemical specificity, high sensitivity, multiplexing, and versatility in different fields. This review confirms and elucidates the significance of different disease biomarker identification. LSPR and SERS both play a vital role in the detection of various types of cancer, such as cervical cancer, ovarian cancer, endometrial cancer, prostate cancer, colorectal cancer, and brain tumors. This proposed optical biosensor offers potential applications for early diagnosis and monitoring of viral disease, bacterial infectious diseases, fungal diseases, diabetes, and cardiac disease biosensing. LSPR and SERS provide a new direction for environmental monitoring, food safety, refining impurities from water samples, and lead detection. The understanding of these biosensors is still limited and challenging.
Green analytical chemistry metrics for evaluating the greenness of analytical procedures
Lei Yin, Luyao Yu, Yingxia Guo, Chuya Wang, Yuncheng Ge, Xinyue Zheng, Ning Zhang, Jiansong You, Yong Zhang, Meiyun Shi
2024, 14(11): 101013. doi: 10.1016/j.jpha.2024.101013
Abstract:
Green analytical chemistry (GAC) focuses on mitigating the adverse effects of analytical activities on human safety, human health, and environment. In addition to the 12 principles of GAC, proper GAC tools should be developed and employed to assess the greenness of different analytical assays. The 15 widely used GAC metrics, i.e., national environmental methods index (NEMI), advanced NEMI, assessment of green profile (AGP), chloroform-oriented toxicity estimation scale (ChlorTox Scale), Analytical Eco-Scale, Green Certificate Modified Eco-Scale, analytical method greenness score (AMGS), green analytical procedure index (GAPI), ComplexGAPI, red-green-blue (RGB) additive color model, RGB 12 algorithm, analytical greenness calculator (AGREE), AGREE preparation (AGREEprep), HEXAGON, and blue applicability grade index (BAGI), are selected as the typical tools. This article comprehensively presents and elucidates the principles, characteristics, merits, and demerits of 15 widely used GAC tools. This review is helpful for researchers to use the current GAC metrics to assess the environmental sustainability of analytical assays.
A holistic visualization for quality of Chinese materia medica: Structural and metabolic visualization by magnetic resonance imaging
Jing Wu, Kai Zhong, Hongyi Yang, Peiliang Zhang, Nianjun Yu, Weidong Chen, Na Zhang, Shuangying Gui, Lan Han, Daiyin Peng
2024, 14(11): 101019. doi: 10.1016/j.jpha.2024.101019
Abstract:
The quality of Chinese materia medica (CMM) is a challenging and focused topic in the modernization of traditional Chinese medicine (TCM). A profound comprehension of the morphology, structure, active constituents, and dynamic changes during the whole process of CMM growth is essential, which needs highly precise contemporary techniques for in-depth elucidation. Magnetic resonance imaging (MRI) is a cutting-edge tool integrating the benefits of both nuclear magnetic resonance (NMR) spectroscopy and imaging technology. With real-time, non-destructive, and in situ detection capabilities, MRI has been previously used for monitoring internal and external structures of plants alongside compounds during physiological processes in vivo. Here, factors involved in the holistic quality evaluation of CMMs were investigated. Given the applications of MRI in various plants, several representative CMMs were used as examples to demonstrate a methodology of quality visualization by MRI, embodying holistically monitoring the real-time macroscopic morphology, mesoscopic structure, and microscopic metabolites non-destructively in situ. Taken together, the review not only presents a pioneering application mode for utilizing MRI for CMM quality visualization but also holds promise for advancing the quality control and evaluation of CMMs.
Potential of natural drug modulation of endoplasmic reticulum stress in the treatment of myocardial injury
Kai Yang, Ping Zhang, Jixin Li, Genming Zhang, Xing Chang
2024, 14(11): 101034. doi: 10.1016/j.jpha.2024.101034
Abstract:
Myocardial injury (MI) is a common occurrence in clinical practice caused by various factors such as ischemia, hypoxia, infection, metabolic abnormalities, and inflammation. Such damages are characterized by a reduction in myocardial function and cardiomyocyte death that can result in dangerous outcomes such as cardiac failure and arrhythmias. An endoplasmic reticulum stress (ERS)-induced unfolded protein response (UPR) is triggered by several stressors, and its intricate signaling networks are instrumental in both cell survival and death. Cardiac damage frequently triggers ERS in response to different types of injuries and stress. High levels of ERS can exacerbate myocardial damage by inducing necrosis and apoptosis. To target ERS in MI prevention and treatment, current medical research is focused on identifying effective therapy approaches. Traditional Chinese medicine (TCM) is frequently used because of its vast range of applications and low risk of adverse effects. Various studies have demonstrated that active components of Chinese medicines, including polyphenols, saponins, and alkaloids, can reduce myocardial cell death, inflammation, and modify the ERS pathway, thus preventing and mitigating cardiac injury. Thus, this paper aims to provide a new direction and scientific basis for targeting ERS in MI prevention and treatment. We specifically summarize recent research progress on the regulation mechanism of ERS in MI by active ingredients of TCM.
SnoRNAs: The promising targets for anti-tumor therapy
Xiaoyun Hu, Wanlin Cui, Min Liu, Fangxiao Zhang, Yingqi Zhao, Mingrong Zhang, Yuhang Yin, Yalun Li, Ying Che, Xianglong Zhu, Yuxuan Fan, Xiaolan Deng, Minjie Wei, Huizhe Wu
2024, 14(11): 101064. doi: 10.1016/j.jpha.2024.101064
Abstract:
Recently, small nucleolar RNAs (snoRNAs) have transcended the genomic “noise” to emerge as pivotal molecular markers due to their essential roles in tumor progression. Substantial evidence indicates a strong association between snoRNAs and critical clinical features such as tumor pathology and drug resistance. Historically, snoRNA research has concentrated on two classical mechanisms: 2'-O-ribose methylation and pseudouridylation. This review specifically summarizes the novel regulatory mechanisms and functional patterns of snoRNAs in tumors, encompassing transcriptional, post-transcriptional, and post-translational regulation. We further discuss the synergistic effect between snoRNA host genes (SNHGs) and snoRNAs in tumor progression. More importantly, snoRNAs extensively contribute to the development of tumor cell resistance as oncogenes or tumor suppressor genes. Accordingly, we provide a comprehensive review of the clinical diagnosis and treatment associated with snoRNAs and explore their significant potential as novel drug targets.
Original articles
Dual-targeted halofuginone hydrobromide nanocomplexes for promotion of macrophage repolarization and apoptosis of rheumatoid arthritis fibroblast-like synoviocytes in adjuvant-induced arthritis in rats
Junping Zhu, Ye Lin, Gejing Li, Yini He, Zhaoli Su, Yuanyuan Tang, Ye Zhang, Qian Xu, Zhongliu Yao, Hua Zhou, Bin Liu, Xiong Cai
2024, 14(11): 100981. doi: 10.1016/j.jpha.2024.100981
Abstract:
Rheumatoid arthritis (RA) is a prevalent autoimmune disease characterized by chronic inflammation and excessive proliferation of the synovium. Currently, treatment options focus on either reducing inflammation or inhibiting synovial hyperplasia. However, these modalities are unsatisfactory in achieving the desired therapeutic outcomes. Halofuginone hydrobromide (HF), an herbal active ingredient, has demonstrated pharmacological effects of both anti-inflammation and inhibition of synovial hyperplasia proliferation. However, HF's medical efficacy is limited due to its poor water solubility, short half-life (t1/2), and non-target toxicity. In the current study, by using the advantages of nanotechnology, we presented a novel dual-targeted nanocomplex, termed HA-M@P@HF NPs, which consisted of a hyaluronic acid (HA)-modified hybrid membrane (M)-camouflaged poly lactic-co-glycolic acid (PLGA) nanosystem for HF delivery. These nanocomplexes not only overcame the limitations of HF but also achieved simultaneous targeting of inflammatory macrophages and human fibroblast-like synoviocytes-RA (HFLS-RA). In vivo experiments demonstrated that these nanocomplexes effectively suppressed immune-mediated inflammation and synovial hyperplasia, safeguarding against bone destruction in rats with adjuvant-induced arthritis (AIA). Remarkable anti-arthritic effects of these nanocomplexes were accomplished through promoting repolarization of M1-to-M2 macrophages and apoptosis of HFLS-RA, thereby offering a promising therapeutic strategy for RA.
Machine learning-driven optimization of mRNA-lipid nanoparticle vaccine quality with XGBoost/Bayesian method and ensemble model approaches
Ravi Maharjan, Ki Hyun Kim, Kyeong Lee, Hyo-Kyung Han, Seong Hoon Jeong
2024, 14(11): 100996. doi: 10.1016/j.jpha.2024.100996
Abstract:
To enhance the efficiency of vaccine manufacturing, this study focuses on optimizing the microfluidic conditions and lipid mix ratios of messenger RNA-lipid nanoparticles (mRNA-LNP). Different mRNA-LNP formulations (n = 24) were developed using an I-optimal design, where machine learning tools (XGBoost/Bayesian optimization and self-validated ensemble (SVEM)) were used to optimize the process and predict lipid mix ratio. The investigation included material attributes, their respective ratios, and process attributes. The critical responses like particle size (PS), polydispersity index (PDI), Zeta potential, pKa, heat trend cycle, encapsulation efficiency (EE), recovery ratio, and encapsulated mRNA were evaluated. Overall prediction of SVEM (>97%) was comparably better than that of XGBoost/Bayesian optimization (>94%). Moreover, in actual experimental outcomes, SVEM prediction is close to the actual data as confirmed by the experimental PS (94–96 nm) is close to the predicted one (95–97 nm). The other parameters including PDI and EE were also close to the actual experimental data.
Circulating memory T cells and TCF1+ T cells aid in diagnosis and monitor disease activity in vitiligo
Xinju Wang, Jianru Chen, Wei Wu, Jinrong Fan, Luling Huang, Weiwei Sun, Kaiqiao He, Shuli Li, Chunying Li
2024, 14(11): 100998. doi: 10.1016/j.jpha.2024.100998
Abstract:
Vitiligo is an immune memory skin disease. T-cell factor 1 (TCF1) is essential for maintaining the memory T-cell pool. There is an urgent need to investigate the characteristics of peripheral memory T-cell profile and TCF1+ T-cell frequencies in patients with vitiligo. In this study, 31 patients with active vitiligo (AV), 22 with stable vitiligo (SV), and 30 healthy controls (HCs) were included. We measured circulating memory and TCF1+ T-cell frequencies using flow cytometry. The Spearman's rank test was used to evaluate the correlation between cell frequencies and disease characteristics. Receiver operating characteristic curves (ROC) were constructed to investigate the discriminative power of the cell subpopulations. Circulating CD4+ and CD8+ terminally differentiated effector memory T-cell (TEMRA) frequencies were significantly higher in the AV group than in HCs (P < 0.05). TCF1+ T-cell subpopulations were widespread increased in patients with vitiligo (P < 0.05). After adjusting for potential confounders, CD8+ and CD4+ central memory (TCM) cells, and CD8+ TEMRA were correlated with disease activity (P < 0.05). The combined diagnostic value of the four (naïve, effector memory, TCM, and TEMRA) CD8+TCF1+ T-cell subsets was relatively high (area under the ROC curve (AUC) = 0.804, sensitivity = 71.70%, specificity = 83.34%), and the CD8+ T-cell subsets combination performed well in discriminating disease activity (AUC = 0.849, sensitivity = 70.97%, specificity = 90.91%). We demonstrated an altered circulating memory T-cell profile and increased TCF1+ T-cell percentage in patients with vitiligo. T-cell subpopulations had a strong value for vitiligo diagnosis and activity evaluation. This evidence presents a potential new pharmacological target for inhibiting autoimmunity that leads to vitiligo.
Investigation of oligomeric proanthocyanidins extracted from Rhodiolae Crenulatae Radix et Rhizomes using deep eutectic solvents and identified via data-dependent acquisition mass-spectroscopy
Li Jia, Liming Wang, Xiaoxiao Zhang, Qingrui Zhang, Peng Lei, Yanxu Chang, Lifeng Han, Xin Chai, Wenzhi Yang, Yuefei Wang, Miaomiao Jiang
2024, 14(11): 101002. doi: 10.1016/j.jpha.2024.101002
Abstract:
In this study, 34 deep eutectic solvents (DESs) were successfully prepared for the extraction of proanthocyanidin from Rhodiolae Crenulatae Radix et Rhizomes. The extraction process was optimized using single factor exploration and Box-Behnken design-response surface analysis. The extraction rate was significantly improved when the molar ratio of choline chloride to 1,3-propanediol was 1:3.5 and the water content was 30% (V/V) in DESs. AB-8 macroporous resin and ethyl acetate were used for separation and refining, and the oligomer-rich proanthocyanidin components were eventually obtained. The ultraviolet (UV) and infrared (IR) spectra showed that the proanthocyanidins were mainly composed of catechin and epicatechin. To further clarify the chemical composition of proanthocyanidin, an ion scan list containing 156 proanthocyanidins precursors was obtained by constructing a proanthocyanidins structural library and mass defect filtering (MDF) algorithm, combined with the full mass spectrometry (MS)/dd-MS2 scan mode that turns on the “if idle pick others” function. By using ultra-high performance liquid chromatography and high-resolution MS (UHPLC/HRMS), the analysis used both targeted and non-targeted methods to detect proanthocyanidins. Finally, 50 oligomeric proanthocyanidin (OPC) compounds were identified, including 7 monomers, 22 dimers, 20 trimers, and 1 tetramer, most of which were procyanidins of proanthocyanidins (84%), and a small amount of prodelphinidin (14%) and other types of proanthocyanidins (2%), which enabled the systematic characterization of proanthocyanidin components from Rhodiolae Crenulatae Radix et Rhizomes. Meanwhile, the comparison with the grape seeds OPCs standard (United States Pharmacopeia) revealed that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes were more abundant, suggesting that the proanthocyanidins in Rhodiolae Crenulatae Radix et Rhizomes has promising applications.
Comparative study of trastuzumab modification analysis using mono/multi-epitope affinity technology with LC-QTOF-MS
Chengyi Zuo, Jingwei Zhou, Sumin Bian, Qing Zhang, Yutian Lei, Yuan Shen, Zhiwei Chen, Peijun Ye, Leying Shi, Mao Mu, Jia-Huan Qu, Zhengjin Jiang, Qiqin Wang
2024, 14(11): 101015. doi: 10.1016/j.jpha.2024.101015
Abstract:
Dynamic tracking analysis of monoclonal antibodies (mAbs) biotransformation in vivo is crucial, as certain modifications could inactivate the protein and reduce drug efficacy. However, a particular challenge (i.e. immune recognition deficiencies) in biotransformation studies may arise when modifications occur at the paratope recognized by the antigen. To address this limitation, a multi-epitope affinity technology utilizing the metal organic framework (MOF)@Au@peptide@aptamer composite material was proposed and developed by simultaneously immobilizing complementarity determining region (CDR) mimotope peptide (HH24) and non-CDR mimotope aptamer (CH1S-6T) onto the surface of MOF@Au nanocomposite. Comparative studies demonstrated that MOF@Au@peptide@aptamer exhibited significantly enhanced enrichment capabilities for trastuzumab variants in comparison to mono-epitope affinity technology. Moreover, the higher deamidation ratio for LC-Asn-30 and isomerization ratio for HC-Asn-55 can only be monitored by the novel bioanalytical platform based on MOF@Au@peptide@aptamer and liquid chromatography-quadrupole time of flight-mass spectrometry (LC-QTOF-MS). Therefore, multi-epitope affinity technology could effectively overcome the biases of traditional affinity materials for key sites modification analysis of mAb. Particularly, the novel bioanalytical platform can be successfully used for the tracking analysis of trastuzumab modifications in different biological fluids. Compared to the spiked phosphate buffer (PB) model, faster modification trends were monitored in the spiked serum and patients' sera due to the catalytic effect of plasma proteins and relevant proteases. Differences in peptide modification levels of trastuzumab in patients' sera were also monitored. In summary, the novel bioanalytical platform based on the multi-epitope affinity technology holds great potentials for in vivo biotransformation analysis of mAb, contributing to improved understanding and paving the way for future research and clinical applications.
Spatial metabolomics reveal metabolic alternations in the injured mice kidneys induced by triclocarban treatment
Peisi Xie, Jing Chen, Yongjun Xia, Zian Lin, Yu He, Zongwei Cai
2024, 14(11): 101024. doi: 10.1016/j.jpha.2024.101024
Abstract:
Triclocarban (TCC) is a common antimicrobial agent that has been widely used in medical care. Given the close association between TCC treatment and metabolic disorders, we assessed whether long-term treatment to TCC at a human-relevant concentration could induce nephrotoxicity by disrupting the metabolic levels in a mouse model. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was applied to investigate the alterations in the spatial distributions and abundances of TCC, endogenous and exogenous metabolites in the kidney after TCC treatment. The results showed that TCC treatment induced the changes in the organ weight, organ coefficient and histopathology of the mouse kidney. MSI data revealed that TCC accumulated in all regions of the kidney, while its five metabolites mainly distributed in the cortex regions. The abundances of 79 biomolecules associated with pathways of leukotriene E4 metabolism, biosynthesis and degradation of glycerophospholipids and glycerolipids, ceramide-to-sphingomyelin signaling were significantly altered in the kidney after TCC treatment. These biomolecules showed distinctive distributions in the kidney and displayed a favorable spatial correlation with the pathological damage. This work offers new insights into the related mechanisms of TCC-induced nephrotocicity and exhibits the potential of MALDI-MSI-based spatial metabolomics as a promising approach for the risk assessment of agents in medical care.
Depression of CaV1.2 activation and expression in mast cells ameliorates allergic inflammation diseases
Yongjing Zhang, Yingnan Zeng, Haoyun Bai, Wen Zhang, Zhuoyin Xue, Shiling Hu, Shemin Lu, Nan Wang
2024, 14(11): 101149. doi: 10.1016/j.jpha.2024.101149
Abstract:
Allergic inflammation is closely related to the activation of mast cells (MCs), which is regulated by its intracellular Ca2+ level, but the intake and effects of the intracellular Ca2+ remain unclear. The Ca2+ influx is controlled by members of Ca2+ channels, among which calcium voltage-gated channel subunit alpha1 C (CaV1.2) is the most robust. This study aimed to reveal the role and underlying mechanism of MC CaV1.2 in allergic inflammation. We found that CaV1.2 participated in MC activation and allergic inflammation. Nimodipine (Nim), as a strong CaV1.2-specific antagonist, ameliorated allergic inflammation in mice. Further, CaV1.2 activation in MC was triggered by phosphatizing at its Ser1928 through protein kinase C (PKC), which calcium/calmodulin-dependent protein kinase II (CaMKII) catalyzed. Overexpression or knockdown of MC CaV1.2 influenced MC activation. Importantly, CaV1.2 expression in MC had detrimental effects, while its deficiency ameliorated allergic pulmonary inflammation. Results provide novel insights into CaV1.2 function and a potential drug target for controlling allergic inflammation.
Short communications
Clinically and orally compatible formulation-manufactured DDX5 (p68)-targeting molecular glue FL118 products exhibit low toxicity but high efficacy against human cancer
Xiang Ling, Wenjie Wu, Li Yan, Leslie Curtin, Melanie M. Farrauto, Sandra Sexton, Anmbreen Jamroze, Changjun Yu, Christos Fountzilas, Dean G. Tang, Fengzhi Li
2024, 14(11): 101001. doi: 10.1016/j.jpha.2024.101001
Abstract:
A novel strategy based on the dielectric barrier discharge plasma for rapid elimination of the carryover associated with μPESI-MS/MS system
Qian Liu, Simin Zhang, Xiangyang Qu, Yunhui Xing, Zhenwei Xiao, Shicheng Fan, Janshon Zhu, Min Huang, Huichang Bi
2024, 14(11): 101017. doi: 10.1016/j.jpha.2024.101017
Abstract:
Single-cell RNA sequencing reveals the changes of the pulmonary immune environment in rat after Siegesbeckia orientalis L. treatment
Fan Zhang, Shu Gan, Jingjing Liao, Ting Jiang, Zhiqiang Shi, Xueying Fan, Hiu-Yee Kwan, Zhongqiu Liu, Tao Su
2024, 14(11): 101035. doi: 10.1016/j.jpha.2024.101035
Abstract:
Perspectives
AI comes to the Nobel Prize and drug discovery
Ying Zhou, Yintao Zhang, Zhichao Zhang, Zhimeng Zhou, Feng Zhu
2024, 14(11): 101160. doi: 10.1016/j.jpha.2024.101160
Abstract: