Transcranial electrical stimulation (tES) is a non-invasive neural modulation technique known for its high safety, patient compliance, and portability. It holds promise as a potential non-pharmacological method for analgesia. However, challenges persist in utilizing tES for pain management, including inconsistent research findings and limited understanding of its analgesic mechanisms. Therefore, by summarizing the advances in the analgesic researches employing the 3 primary tES techniques, transcranial direct current stimulation (tDCS), transcranial alternating current stimulation (tACS), and transcranial random noise stimulation (tRNS), we reviewed the analgesic effects on both acute and chronic pain, as well as the neural mechanisms underlying the analgesic effect of each technique. Accumulating evidence suggests that the analgesic effects of tDCS are significant, but studies on analgesic effects of tACS and tRNS remain limited. And the exact mechanisms of pain relief through tES turned out to be not yet well established. Furthermore, we systematically discussed the limitations of analgesia-related studies employing tES techniques across various aspects, involving research design, stimulation protocol formulation, neural response observation, analgesic effect assessment, and safety considerations. To address these limitations and advance clinical translation, we emphasized utilizing promising stimulation techniques and offered practical suggestions for future research endeavors. Specifically, employing numerical simulation of electric field guided by magnetic resonance imaging (MRI) would reduce variability of outcomes due to individual differences in head anatomy. For this purpose, it is advisable to establish standardized head models based on MRI data from the Chinese populations and validate simulated electric field results in tES research to diminish confounding factors concerning anatomy. Meanwhile, novel techniques like multi-site brain stimulation and interferential stimulation (IFS) could broaden the range of stimulation sites in both scope and depth. Multi-site brain stimulation facilitates modulation of entire neural networks, enabling more sophisticated investigations into the complexity of pain. IFS can reach deep brain tissues without invasive surgical procedures, achieving more comprehensive modulation. Regarding neural response observations, establishing a tES-neuroimaging synchronized platform would enable revealing its mechanisms and personalizing protocols based on inter-subject neural response variability detected through recordings. By integrating tES with various neuroimaging techniques, such as functional MRI, electroencephalography (EEG) and magnetoencephalography, into one unified platform, researchers could examine brain activities in baseline before stimulation, dynamic changes in brain activities during stimulation, and sustained brain responses after stimulation. Additionally, collecting finer-grained data on participant characteristics and pain intensity would enhance the sensitivity of future studies. In designing clinical trials to evaluate chronic pain treatments and reporting the results, adopting the six core outcome domain measures recommended by the Initiative on Methods, Measurement, and Pain Assessment in Clinical Trials (IMMPACT) could prove beneficial. Lastly, safety considerations can never be overemphasized in future tES studies especially when combining tES with MRI and EEG techniques. These efforts may help to broaden the research scope, reconcile inconsistencies in findings and elucidate the analgesic mechanisms of tES, thus facilitating the development of pragmatic pain management strategies such as combination therapies and home therapies. Ultimately, these suggestions will maximize the clinical application value of tES in pain treatment to achieve pain relief for patients.

Pain is an unpleasant sensory and emotional experience involving multi-level neural processing, with a highly complex neural activity pattern. Recent advancements in non-invasive brain functional imaging techniques have enhanced our understanding of the neural mechanisms underlying pain processing in humans at the whole-brain level. Functional magnetic resonance imaging (fMRI), in particular, plays an important role due to its high spatial resolution and has driven significant advancements in this field. This review focused on fMRI studies of pain in humans. We first summarized research that explored brain responses to pain and showing that pain processing involves neural activities across multiple brain regions, constituting the pain matrix, which includes the somatosensory cortex, thalamus, insula, anterior cingulate cortex, and other areas. However, modulating the activity of a single brain region has limited effects on pain experiences, suggesting that pain processing entails communications among multiple brain regions. Thus, we reviewed research investigating interactions between brain regions, finding that multiple neural pathways spanning the whole brain are involved in pain processing. Beyond interactions between pairs of regions, understanding how these interactions construct a pain-related network is crucial for fully comprehending the neural representation of pain. Two main approaches are used to describe neural networks across the whole brain. The first one is theory-driven, such as graph theory. Using this method, researchers explored how network properties evolve during pain processing and identified a tightly connected network that emerges during pain, encompassing the somatosensory, salience, and fronto-parietal networks, forming a pain-related super-system. As pain is modulated or diminishes, this system becomes less connected. The second approach relies on data-driven methods, such as methods based on independent component analysis or principal component analysis, and machine learning. These methods are not constrained by pre-defined brain networks. Advancements in machine learning have provided valuable insights, enabling researchers to develop pain biomarkers with promising clinical potential. Theory-driven and data-driven approaches provide complementary insights into our understanding of the neural mechanisms of pain. In recent years, two rapidly advancing and promising techniques have further enhanced the precision and comprehensiveness of pain neural network. One is ultra-high-field magnetic resonance imaging, and the other is simultaneous brain-spinal imaging. Ultra-high-field magnetic resonance imaging has overcome previous spatial resolution limitations in fMRI. In subcortical regions, it helps distinguish neural activities of different nuclei. In cortical regions, high resolution enables the differentiation of neural activities across cortical layers, thereby providing a more in-depth and detailed understanding of the neural mechanisms of pain. Simultaneous brain-spinal imaging technology enables the exploration of brain-spinal networks involved in pain processing, making it possible to construct a comprehensive neural network representation of pain throughout the entire central nervous system. Based on current findings, we suggested that in the clinical treatment of pain using neuromodulation techniques, the selection of stimulation targets could be guided by the pain neural network. Targeting hubs within the pain network could significantly impact the network and may efficiently influence pain experiences. Finally, we discussed the limitations of current research on the neural representation of pain and proposed future directions, including exploring pain-specific representation, systematically comparing experimental and clinical pain, and examining individualized neural representations.

Accumulating epidemiological evidence shows that handgrip strength provides predictive potential in physical, mental, and reproductive health status. However, the associations between handgrip strength and semen characteristics have not been explored. We recruited 1382 eligible men at the Hubei Province Human Sperm Bank (Wuhan, China) who had their handgrip strength measured at recruitment and provided 6458 repeated semen specimens within a 6-month period. Semen characteristics, including semen volume, sperm motility parameters (immotility, nonprogressive motility, and progressive motility), and sperm concentration, were assessed. Mixed-effect models and restricted cubic spline functions were applied to investigate the relationship of handgrip strength with repeated measurements of semen characteristics. After adjusting for confounding factors, the mixed-effect models revealed that handgrip strength was positively associated with semen volume, sperm concentration, progressive motility, total motility, and total count (all P for trend < 0.05). Compared to men in the lowest quartile, those in the highest quartile of handgrip strength had higher semen volume, sperm concentration, progressive motility, total motility, and total count, with measurements of 14.2% (95% confidence interval [CI]: 5.9%-23.2%), 19.5% (95% CI: 7.3%‒33.1%), 9.5% (95% CI: 3.4%‒15.9%), 8.8% (95% CI: 3.2%‒14.6%), and 36.4% (95% CI: 18.9%‒56.5%), respectively. These positive dose-response relationships were further confirmed in restricted cubic splines, where handgrip strength was modeled as a continuous variable. Handgrip strength, as an indicator of muscular function and strength, was positively associated with semen characteristics in a dose-dependent manner.
Male ; Humans ; Semen ; Sperm Motility ; Hand Strength ; Sperm Count ; Semen Analysis ; Spermatozoa ; China/epidemiology*

Mitochondrial shape rapidly changes by dynamic balance of fusion and fission to adjust to constantly changing energy demands of cancer cells. Mitochondrial dynamics balance is exactly regulated by molecular motor consisted of myosin and actin cytoskeleton proteins. Thus, targeting myosin-actin molecular motor is considered as a promising strategy for anti-cancer. In this study, we performed a proof-of-concept study with a natural-derived small-molecule J13 to test the feasibility of anti-cancer therapeutics

OBJECTIVETo investigate the efficacy and feasibility of duodenojejunal bypass(DJB)on non-severe obese patients with type 2 diabetes mellitus(T2DM).

METHODSThe body mass index (BMI), fasting plasma glucose(FPG), 2h-postprandial plasma glucose(2hPG), fasting insulin(F-ins), fasting c-peptide(F-CP), glycated hemoglobin and hypoglycemic agents dose changes were tested in 7 patients with non-severe obese T2DM undergoing DJB, preoperatively and within 24 weeks after surgery during the follow-up. Data were collected and the clinical outcomes of T2DM were analyzed.

RESULTSIn 7 cases of non-obese T2DM who underwent DJB, one patient was weaned off hypoglycemic agents with normal FPG, 2hPG and HbA1c postoperatively. Five required significantly lower dosage. No significant improvement in 1 case. Complete remission rate of hyperglycemia was 1/7, effective rate was 6/7, and effective rate of HbA1c was 5/7. No significant changes in BMI were observed between the preoperative and postoperative phases.

CONCLUSIONPlasma glucose level can be markedly reduced by duodenojejunal bypass in non-obese T2DM, independent of weight loss, and the mechanism remains unclear.

Adult ; Aged ; Bariatric Surgery ; methods ; Diabetes Mellitus, Type 2 ; surgery ; Duodenum ; surgery ; Female ; Follow-Up Studies ; Humans ; Jejunum ; surgery ; Male ; Middle Aged ; Obesity ; Treatment Outcome

OBJECTIVETo investigate the histogenetic origin of primary central nervous system diffuse large B-cell lymphoma (DLBCL) with respect to the stage of B-cell differentiation, and identification of the relevant prognostic markers.

METHODSImmunohistochemical staining (EnVision method) for CD10, bcl-6, MUM-1, CD138 and FOXP1 antigens was performed on 47 paraffin-embedded sections.

RESULTSCD10, bcl-6, MUM-1 and FOXP1 expression in the tumor cells were 6.4%, 53.2%, 91.5% and 93.6% respectively. There was no expression of CD138 in all the cases. Among the 47 patients, 43 cases (91.5%) showed an activated B-cell-like (ABC) phenotype: 21 (44.7%) were bcl-6+ and MUM-1+, suggesting an "activated germinal center (GC) B-cell-like" in origin; 22 (46.8%) were exclusively MUM-1+, suggesting an "activated non-GCB" in origin. No significant correlation of the classification and FOXP1 expression found on the outcome (P=0.279 and P=0.154).

CONCLUSIONSMost primary central nervous system DLBCL are shown belonging to the ABC subgroup, suggesting that primary central nervous system DLBCL is quite similar to a DLBCL subset, which is derived from late GC to early post-GC B cell. The classification and FOXP1 expression do not show prognostic value in primary central nervous system DLBCL.

Adolescent ; Adult ; Aged ; B-Lymphocytes ; pathology ; Biomarkers, Tumor ; analysis ; Central Nervous System ; Central Nervous System Neoplasms ; diagnosis ; Female ; Humans ; Lymphoma, B-Cell ; diagnosis ; metabolism ; Lymphoma, Large B-Cell, Diffuse ; diagnosis ; metabolism ; Male ; Middle Aged ; Prognosis ; Young Adult