Objective To explore the nutritional status in elderly patients with type 2 diabetes mellitus (T2DM) and analyze its relationship with the risk of sarcopenia. Methods A retrospective analysis was conducted on 312 elderly patients with T2DM admitted to the 904th Hospital of the Joint Logistics Support Force of the People's Liberation Army between January 2023 and December 2025. Based on the presence or absence of sarcopenia, the patients were classified into a sarcopenia group (121 cases) and a non-sarcopenia group (191 cases). The nutritional status and related factors were compared between the two groups. Binary logistic regression analysis was adopted to analyze the correlation and influencing factors. Results The incidence rate of sarcopenia among elderly patients with T2DM was 38.78%. Compared with the non-sarcopenia group, the sarcopenia group had older age and higher proportions of patients with daily activity dependence, coronary heart disease, and gastrointestinal diseases. Conversely, the proportions of patients exercising ≥4 times per week and those paying attention to nutritional knowledge were lower in the sarcopenia group than those in the non-sarcopenia group (P<0.05). The body mass index (BMI), calf circumference (CC), body weight, albumin (ALB), hemoglobin (Hb), and MNA-SF score in the sarcopenia group were lower compared with those in the non-sarcopenia group (P<0.05). After logistic regression analysis, it was found that low BMI, exercising ≥4 times per week, dependence on daily activity, and low ALB and Hb were independent factors influencing sarcopenia in elderly patients with T2DM (P<0.05). Conclusion The incidence rate of sarcopenia is relatively high in elderly patients with T2DM. Low BMI, low ALB, low Hb, reduced weekly exercise frequency, and daily activity dependence are independent related factors. It is necessary to pay clinical attention to nutritional assessment and intervention.

Objective:To investigate the ability to diagnose, treat and manage kidney disease in Shanghai community health service centers.Methods:This was a cross-sectional survey. An online questionnaire survey was conducted in November 2023 among 248 Shanghai community health service centers and 2 140 general practitioners in Shanghai. The main topics of the institutional research were the kidney disease-related inspection items that medical institutions could carry out, the kidney disease diagnosis and treatment drugs, the kidney disease grass-roots management training, the opening of kidney disease clinics and the establishment of kidney disease standard diagnosis and treatment records. The main topics of the survey of general practitioners were general information, standardized diagnosis and management measures of kidney disease, knowledge based on the diagnosis and treatment guidelines of chronic kidney disease, and difficulties in standardized management of kidney disease.Results:Among the laboratory examination items in Shanghai community health service centers, the rates of routine urine (99.60%, 247 centers), renal function (95.16%, 236 centers) and urinary microalbumin (89.11%, 229 centers) were high. Among the imaging examinations, B-ultrasound of urinary system had the highest rate (92.34%, 229 centers). The preparation rate of kidney disease drugs varied widely among the centers, and the preparation rate of Chinese drugs such as Jinshuibao, nephritis Kangfu tablet and Shenshuaining was more than 90%. Sixty-six (26.61%) community health service centers had established kidney disease clinics. The overall accuracy rate of community general practitioners was 63.81% (13 656/21 400), of which the accuracy rate for diagnosis and screening method, referral indication and emergency dialysis indication was more than 85%, but the accuracy rate for drug treatment and careful medication was low at 28.93% (1 238/4 280) and 33.22% (711/2 140), respectively. There was a willingness for Community general practitioners to provide all aspects of life guidance for patients with kidney disease, but for patients with end-stage renal disease replacement therapy, there was a preference for this to be provided by the appropriate specialist.Conclusions:The community health service centers in Shanghai has already had the basic conditions for the management of kidney disease in terms of basic examination and testing equipment, drugs, etc. The community general practitioners have a certain knowledge of kidney disease, and the drug treatment needs to be strengthened.

The pathogenesis of neurodegenerative diseases (NDDs) is fundamentally linked to complex and profound alterations in metabolic networks within the brain, which exhibit marked spatial heterogeneity. While conventional bulk metabolomics is powerful for detecting global metabolic shifts, it inherently lacks spatial resolution. This methodological limitation hampers the ability to interrogate critical metabolic dysregulation within discrete anatomical brain regions and specific cellular microenvironments, thereby constraining a deeper understanding of the core pathological mechanisms that initiate and drive NDDs. To address this critical gap, spatial metabolomics, with mass spectrometry imaging (MSI) at its core, has emerged as a transformative approach. It uniquely overcomes the limitations of bulk methods by enabling high-resolution, simultaneous detection and precise localization of hundreds to thousands of endogenous molecules—including primary metabolites, complex lipids, neurotransmitters, neuropeptides, and essential metal ions—directly in situ from tissue sections. This powerful capability offers an unprecedented spatial perspective for investigating the intricate and heterogeneous chemical landscape of NDD pathology, opening new avenues for discovery. Accordingly, this review provides a comprehensive overview of the field, beginning with a discussion of the technical features, optimal application scenarios, and current limitations of major MSI platforms. These include the widely adopted matrix-assisted laser desorption/ionization (MALDI)-MSI, the ultra-high-resolution technique of secondary ion mass spectrometry (SIMS)-MSI, and the ambient ionization method of desorption electrospray ionization (DESI)-MSI, along with other emerging technologies. We then highlight the pivotal applications of spatial metabolomics in NDD research, particularly its role in elucidating the profound chemical heterogeneity within distinct pathological microenvironments. These applications include mapping unique molecular signatures around amyloid β‑protein (Aβ) plaques, uncovering the metabolic consequences of neurofibrillary tangles composed of hyperphosphorylated tau protein, and characterizing the lipid and metabolite composition of Lewy bodies. Moreover, we examine how spatial metabolomics contributes to constructing detailed metabolic vulnerability maps across the brain, shedding light on the biochemical factors that render certain neuronal populations and anatomical regions selectively susceptible to degeneration while others remain resilient. Looking beyond current applications, we explore the immense potential of integrating spatial metabolomics with other advanced research methodologies. This includes its combination with three-dimensional brain organoid models to recapitulate disease-relevant metabolic processes, its linkage with multi-organ axis studies to investigate how systemic metabolic health influences neurodegeneration, and its convergence with single-cell and subcellular analyses to achieve unprecedented molecular resolution. In conclusion, this review not only summarizes the current state and critical role of spatial metabolomics in NDD research but also offers a forward-looking perspective on its transformative potential. We envision its continued impact in advancing our fundamental understanding of NDDs and accelerating translation into clinical practice—from the discovery of novel biomarkers for early diagnosis to the development of high-throughput drug screening platforms and the realization of precision medicine for individuals affected by these devastating disorders.

OBJECTIVE: This study aimed to investigate the prevalence of HIV pretreatment drug resistance (PDR) and the transmission clusters associated with PDR-related mutations in newly diagnosed, treatment-naive patients between 2020 and 2023 in Dehong prefecture, Yunnan province, China. METHODS: Demographic information and plasma samples were collected from study participants. PDR was assessed using the Stanford HIV Drug Resistance Database. The Tamura-Nei 93 model within HIV-TRACE was employed to compute pairwise matches with a genetic distance of 0.015 substitutions per site. RESULTS: Among 948 treatment-naive individuals with eligible sequences, 36 HIV subtypes were identified, with unique recombinant forms (URFs) being the most prevalent (18.8%, 178/948). The overall prevalence of PDR was 12.4% (118/948), and resistance to non-nucleotide reverse transcriptase inhibitors (NNRTIs), nucleotide reverse transcriptase inhibitors (NRTIs), and protease inhibitors (PIs) was 10.7%, 1.3%, and 1.6%, respectively. A total of 91 clusters were identified, among which eight showed evidence of PDR strain transmission. The largest PDR-associated cluster consisted of six CRF01_AE drug-resistant strains carrying K103N and V179T mutations; five of these individuals had initial CD4+ cell counts < 200 cells/μL. CONCLUSION The distribution of HIV subtypes in Dehong is diverse and complex. PDR was moderately prevalent (12.4%) between 2020 and 2023. Evidence of transmission of CRF01_AE strains carrying K103N and V179T mutations was found. Routine surveillance of PDR and the strengthening of control measures are essential to limit the spread of drug-resistance HIV strains.
Humans ; HIV Infections/virology* ; China/epidemiology* ; Drug Resistance, Viral ; Male ; Adult ; Female ; Middle Aged ; HIV-1/genetics* ; Anti-HIV Agents/therapeutic use* ; Myanmar/epidemiology* ; Young Adult ; Prevalence ; Adolescent ; Mutation

Iodine speciations in aquatic environments are affected by dissolved oxygen,redox potential,microbial activity,organic matter decomposition,light reaction,etc.Accurate quantification of iodine speciation can not only help to understand the geochemical cycle of iodine,but also help to trace and study environmental processes.Based on the combination of ion chromatography(IC)and inductively coupled plasma mass spectrometry(ICP-MS),a rapid and sensitive method was established for determining the speciations of iodine in environmental water samples including seawater,river water,lake water,rainwater,groundwater,etc.The results presented here showed that IO3?and I?in seawater were quickly separated and measured within 120 s when using guard column AG22 and 8 mmol/L(NH4)2CO3 as the mobile phase.While for lake water,river water and precipitation samples with high soluble organically bond iodine(SOI),an AS22 separation column(250 mm×4 mm)connected with a guard column and using 50 mmol/L(NH4)2CO3 as mobile phase could effectively separate unknown SOI from IO3? to achieve accurate quantification of IO3?.For accurate correction of iodine measurement signal fluctuations,133Cs was directly added to the(NH4)2CO3 mobile phase as an internal standard.The SOI content was calculated by the total iodine concentrations minus the sum of IO3?and I?.The precision of the established iodine speciation analytical method was better than 3.5%,and the standard addition experiment showed that the analytical method was accurate.When the injection volume was 25 μL,the detection limits were 0.011?0.025 μg/L for IO3? and 0.023?0.031 μg/L for I?,respectively.The method was successfully used to analyze IO3?,SOI and I? in environmental water samples,such as seawater,river water,rainwater and groundwater.

Neuroscience,a cutting-edge field in interdisciplinary research,consistently draws considerable research interest,of which quantitatively probing the neurochemical dynamics is essential for brain science research.In vivoelectrochemical analysis,featuring with high sensitivity,high spatiotemporal resolution,free from transfection,and designable electrode/solution interfaces,provides important tools for in vivo neurochemicals sensing.Fast scan cyclic voltammetry combined with microelectrodes can not only enable precise detection of dopamine but also is compatible with existing neurosurgical equipment.This offers new opportunities for the clinical application of in vivo electrochemical analysis and paves new avenues for the diagnosis and treatment of neurological diseases.This review summarized recent progress of in vivo electrochemical techniques for brain neurochemistry and addressed key clinical challenges and their potential solutions.

The cycling of iodine in the atmosphere and ocean plays a critical role in climate and environmental change.Ice cores and tree rings,as ideal climate archives,can provide essential data for paleoclimate reconstruction through accurate iodine analysis.However,iodine concentrations in ice core samples are as low as 0.01 μg/L,and as low as 0.01 μg/g in tree rings.Most currently reported analytical methods face challenges in accurately quantifying such low levels.In this study,a highly sensitive analytical method for trace iodine in environmental samples was developed based on inductively coupled plasma mass spectrometry(ICP-MS),incorporating a collision/reaction cell under the optimized collision/reaction gas conditions.Collision/reaction cell mode was employed to evaluate potential interferences in determination of trace iodine by ICP-MS.The results indicated that peak tailing from adjacent mass-to-charge ratios and polyatomic ion interferences could be considered negligible.However,residual iodine in ultrapure water constituted the major source of background,highlighting the need for strict control of sample pretreatment and procedural blanks in trace-level iodine analysis.By utilizing collision focusing effect of helium,the measurement sensitivity of iodine was enhanced to 3.5×105 cps(counts per second)/(μg/L),and the detection limit was reduced to 0.002 μg/L.The developed method exhibited a deviation of less than 2.3%in measurement of low-concentration standard solutions,indicating good accuracy.For actual samples and blanks,the precision of repeated measurements within 2 h was better than 1.6%,demonstrating excellent repeatability.No significant memory effect was observed during the measurements.The established method was successfully applied to determination of trace iodine in ice cores,tree rings,and other environmental samples,providing a robust technical foundation for investigating the role of iodine in climate and environmental change.

Alzheimer’s disease (AD) is a prevalent neurodegenerative condition characterized by progressive cognitive decline and memory loss. As the incidence of AD continues to rise annually, researchers have shown keen interest in the active components found in natural plants and their neuroprotective effects against AD. Quercetin, a flavonol widely present in fruits and vegetables, has multiple biological effects including anticancer, anti-inflammatory, and antioxidant. Oxidative stress plays a central role in the pathogenesis of AD, and the antioxidant properties of quercetin are essential for its neuroprotective function. Quercetin can modulate multiple signaling pathways related to AD, such as Nrf2-ARE, JNK, p38 MAPK, PON2, PI3K/Akt, and PKC, all of which are closely related to oxidative stress. Furthermore, quercetin is capable of inhibiting the aggregation of β‑amyloid protein (Aβ) and the phosphorylation of tau protein, as well as the activity of β‑secretase 1 and acetylcholinesterase, thus slowing down the progression of the disease.The review also provides insights into the pharmacokinetic properties of quercetin, including its absorption, metabolism, and excretion, as well as its bioavailability challenges and clinical applications. To improve the bioavailability and enhance the targeting of quercetin, the potential of quercetin nanomedicine delivery systems in the treatment of AD is also discussed. In summary, the multifaceted mechanisms of quercetin against AD provide a new perspective for drug development. However, translating these findings into clinical practice requires overcoming current limitations and ongoing research. In this way, its therapeutic potential in the treatment of AD can be fully utilized.

ObjectiveTo determine the optimal combination of the effective monomer components "quercetin-kaempferol-abietic acid-boswellic acid" in Fujin Shengjisan for promoting diabetic ulcer （DU） wound healing through uniform design， thereby achieving the modern application of the ancient formula. MethodsFollowing the principle of "uniform design-pharmacodynamic experiment-mathematical modeling and model verification"， the U₁₄（14⁵） uniform design table was adopted.The four monomer components of Chinese medicine were considered as the independent variables， and the proliferation rate of human umbilical vein endothelial cells （HUVECs） induced by glucose was used as the pharmacodynamic indicator. A mathematical model was constructed using DPS software to correlate the effective monomer components with the pharmacodynamic indicator. The results of uniform design were verified through CCK-8 assay， cell scratch healing， tube formation， Western blot， and Real-time PCR. ResultsAmong the 14 compatibility groups， compared with the high-glucose model group， compound compatibility group 6 showed the strongest proliferation effect and statistical significance （P<0.05）. Four quadratic polynomial regression equations （Y₁-Y₄） were obtained through DPS modeling. Considering the model's fit， stability， and practical application， equations Y₁-Y₃ were selected for the follow-up verification. To ensure experiment reproducibility， group 6 was used for validation. Group 6 and equations Y₁-Y₃ were renamed as compound prescription ① to compound prescription④， respectively， to represent the modern application of the ancient FJSJ Powder through compatibility of monomer components. Verification experiments showed that in the CCK-8， scratch healing， and tube formation assays， the cell viability， wound healing rate， and tube formation number of HUVECs stimulated with 50 mmol·L^-1 glucose were significantly reduced compared with the blank group. Moreover， the expression levels of angiogenesis-related cytokines， vascular endothelial growth factor （VEGF） and fibroblast growth factor 2 （FGF2）， and CD31 secretion were significantly down-regulated. However， after intervention with compound prescriptions ① to ④， compound prescriptions ① and ③ significantly improved the biological functions of HUVECs induced by 50 mmol·L^-1 glucose. Further analysis of the regression coefficients of compound prescriptions ① and ③， and the relative dose ratios of each monomer component， indicated that abietic acid， quercetin， and boswellic acid promoted angiogenesis of HUVECs in the high glucose environment， with a major effect （positive partial correlation coefficients， all > 0.9）. Abietic acid and boswellic acid， as well as kaempferol and boswellic acid， promoted angiogenesis in HUVECs through interaction （positive partial correlation coefficients）. ConclusionCompound prescriptions ① and ③ are the optimal combinations. They can reverse the inhibitory effects of high glucose， stimulate the proliferation， migration， and tube formation abilities of HUVECs in a high glucose environment， and promote the expression of vascular endothelial growth factorA（VEGFA）， FGF2， and CD31， thereby promoting angiogenesis and facilitating DU wound healing. This finding not only confirms the good reproducibility and feasibility of compound prescriptions ① and ③ but also provides new insights and methods for the rational construction of mathematical models to further study the compatibility theory of Chinese medicine.

AIM: To investigate the correlation between the expression of serum lipocalin 2(LCN2), chemokine like receptor 1(CMKLR1), and C-C motif chemokine ligand 11(CCL11)and the severity of disease in patients with type 2 diabetes mellitus(T2DM)and dry eye(DE).METHODS:A prospective selection of 97 patients(194 eyes)diagnosed with T2DM and DE at our hospital from May 2022 to May 2024 was made as the DE group, which was further divided into mild(47 cases, 94 eyes), moderate(34 cases, 68 eyes), and severe(16 cases, 32 eyes)subgroups based on the severity of dry eye. Additionally, 97 patients(194 eyes)of T2DM without DE were selected as non-DE group, and 97 healthy volunteers(194 eyes)who underwent physical examination during the same period were chosen as control group. Serum levels of LCN2, CMKLR1, and CCL11 were measured in all participants. Spearman correlation analysis was used to assess the relationship between serum levels of LCN2, CMKLR1, and CCL11 and the severity of DE in T2DM patients; multivariate Logistic analysis was used to analyze the factors affecting the severity of T2DM patients with DE. The receiver operating characteristic(ROC)curve was drawn to analyze the diagnostic value of serum LCN2, CMKLR1 and CCL11 levels for moderate to severe dry eye in T2DM patients.RESULTS: Serum levels of LCN2, CMKLR1, and CCL11 increased progressively from the control group to the non-DE group and then to the DE group(all P<0.05). Within the DE group, these levels also increased progressively from the mild to moderate and then to the severe subgroups(all P<0.05). Spearman correlation analysis showed that serum levels of LCN2, CMKLR1, and CCL11 were positively correlated with the severity of disease(rs=0.604, 0.591, 0.559, respectively; all P<0.05). Stepwise forward multivariate Logistic analysis showed that Schirmer's test(SⅠt), tear break-up time(BUT), serum levels of LCN2, CMKLR1 and CCL11 were the factors affecting the severity of T2DM patients with DE; ROC curve analysis indicated that the combined diagnosis of serum LCN2, CMKLR1, and CCL11 for the progression of T2DM with DE to moderate-to-severe stages had an area under curve(AUC)value of 0.896, which was significantly higher than that of individual diagnoses of LCN2, CMKLR1, and CCL11(Z=2.925, 2.704, 3.483, respectively; P=0.003, 0.007, <0.001).CONCLUSION: Serum LCN2, CMKLR1 and CCL11 levels are increased in T2DM patients with DE, and are positively correlated with the severity of DE. The combination of the three has a high diagnostic value for moderate to severe DE.